From 787ab1aafbccabdc588c673fdba4fa3e016e30b7 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 7 Feb 2023 08:08:02 -0800
Subject: [PATCH 001/184] Add Mask subclass

---
 geoutils/__init__.py           |   2 +-
 geoutils/georaster/__init__.py |   2 +-
 geoutils/georaster/raster.py   | 141 ++++++++++++++++++++++++++++++++-
 geoutils/geovector.py          |  21 +++--
 4 files changed, 154 insertions(+), 12 deletions(-)

diff --git a/geoutils/__init__.py b/geoutils/__init__.py
index 16d131353..c2bda48cd 100644
--- a/geoutils/__init__.py
+++ b/geoutils/__init__.py
@@ -4,7 +4,7 @@
 
 from geoutils import spatial_tools  # noqa
 from geoutils import examples, georaster, geovector, projtools, satimg  # noqa
-from geoutils.georaster import Raster  # noqa
+from geoutils.georaster import Raster, Mask  # noqa
 from geoutils.geovector import Vector  # noqa
 from geoutils.satimg import SatelliteImage  # noqa
 
diff --git a/geoutils/georaster/__init__.py b/geoutils/georaster/__init__.py
index 6a82886ef..71375543e 100644
--- a/geoutils/georaster/__init__.py
+++ b/geoutils/georaster/__init__.py
@@ -1,3 +1,3 @@
-from geoutils.georaster.raster import Raster, RasterType  # noqa isort:skip
+from geoutils.georaster.raster import Raster, RasterType, Mask  # noqa isort:skip
 
 __all__ = ["RasterType", "Raster"]
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 896ff8568..a8bf14a0c 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -519,7 +519,12 @@ def from_array(
         if isinstance(crs, int):
             crs = CRS.from_epsg(crs)
 
-        return cls({"data": data, "transform": transform, "crs": crs, "nodata": nodata})
+        # If the data was transformed into boolean, re-initialize as a Mask subclass
+        if data.dtype == bool:
+            return Mask({"data": data, "transform": transform, "crs": crs, "nodata": nodata})
+        # Otherwise, keep as a given RasterType subclass
+        else:
+            return cls({"data": data, "transform": transform, "crs": crs, "nodata": nodata})
 
     def __repr__(self) -> str:
         """Convert object to formal string representation."""
@@ -533,9 +538,16 @@ def __str__(self) -> str:
         """Provide string of information about Raster."""
         return self.info()
 
-    def __getitem__(self, value: Raster | Vector | list[float] | tuple[float, ...]) -> Raster:
+    def __getitem__(self, value: Raster | Vector | list[float] | tuple[float, ...]) -> np.ndarray | Raster:
         """Subset the Raster object: calls the crop method with default parameters"""
-        return self.crop(cropGeom=value, inplace=False)
+
+        # If input is Mask with the same shape and georeferencing, index in 1D
+        if isinstance(value, Mask) and self.equal_georeferenced_grid(value):
+            return self.data[value.data]
+
+        # Otherwise, subset with crop
+        else:
+            return self.crop(cropGeom=value, inplace=False)
 
     def __eq__(self, other: object) -> bool:
         """Check if a Raster masked array's data (including masked values), mask, fill_value and dtype are equal,
@@ -2567,6 +2579,128 @@ def proximity(
         return self.copy(new_array=proximity)
 
 
+# Subclass Mask for manipulating boolean Rasters
+class Mask(Raster):
+
+    def __init__(self, filename_or_dataset: str | RasterType | rio.io.DatasetReader | rio.io.MemoryFile | dict, **kwargs):
+
+        # If a Mask is passed, simply point back to Mask
+        if isinstance(filename_or_dataset, Mask):
+            for key in filename_or_dataset.__dict__:
+                setattr(self, key, filename_or_dataset.__dict__[key])
+            return
+        # Else rely on parent Raster class options (including raised errors)
+        else:
+            super().__init__(filename_or_dataset, **kwargs)
+
+            # If nbands larger than one, use only first band and raise a warning
+            if self.nbands > 1:
+                warnings.warn(category=UserWarning,
+                              message="Multi-band raster provided to create a Mask, only the first band will be used.")
+                self._data = np.reshape(self.data[0, :], (1, self.shape[0], self.shape[1]))
+
+            # Convert masked array to boolean
+            self._data = self.data.astype(bool)
+
+            # Fix nband to one
+            self._nbands = 1
+
+            # Fix nodata to None
+            self._nodata = None
+
+            # Define in dtypes
+            self._dtypes = (bool,)
+
+    def from_array(
+        cls: type[RasterType],
+        data: np.ndarray | np.ma.masked_array,
+        transform: tuple[float, ...] | Affine,
+        crs: CRS | int | None,
+        nodata: int | float | list[int] | list[float] | None = None,
+    ) -> Mask:
+
+        return Mask(Raster.from_array(data=data, transform=transform, crs=crs, nodata=nodata))
+
+
+    def reproject(
+        self: Mask,
+        **kwargs
+    ) -> Mask:
+
+        # Depending on resampling, adjust to rasterio supported types
+        if kwargs["resampling"] in [Resampling.nearest, "nearest"]:
+            self.data = self.data.astype("uint8")
+        else:
+            self.data = self.data.astype("float32")
+
+        # Call Raster.reproject()
+        output = super().reproject(**kwargs)  # type: ignore
+
+        # Transform back to a boolean array
+        output.data = output.data.astype(bool)
+
+        return output
+
+    def crop(
+        self: RasterType,
+        **kwargs
+    ) -> None:
+
+        # If there is resampling involved during cropping, encapsulate type as in reproject()
+        if kwargs["match_extent"]:
+            self.data = self.data.astype("float32")
+            if kwargs["in_place"]:
+                super().crop(**kwargs)
+                self.data = self.data.astype(bool)
+            else:
+                output = super().crop(**kwargs)
+                output.data = output.data.astype(bool)
+                return output.data
+        # Otherwise, run a classic crop
+        else:
+            super().crop(**kwargs)
+
+    def polygonize(
+        self, in_value: Number | tuple[Number, Number] | list[Number] | np.ndarray | Literal["all"] = 1
+    ) -> Vector:
+
+        if in_value not in [0, 1]:
+            warnings.warn("In-value converted to boolean for polygonizing mask.")
+            in_value = in_value.astype(bool).astype(int)
+
+        self.data = self.data.astype('uint8')
+        return super().polygonize(in_value=in_value)
+
+    # Logical operations between mask objects: scale to the entire mask
+    def __and__(self, other):
+
+        return self.from_array(data=np.logical_and(self.data, other.data),
+                               transform=self.transform,
+                               crs=self.crs,
+                               nodata=self.nodata)
+
+    def __or__(self, other):
+
+        return self.from_array(data=np.logical_or(self.data, other.data),
+                               transform=self.transform,
+                               crs=self.crs,
+                               nodata=self.nodata)
+
+    def __xor__(self, other):
+
+        return self.from_array(data=np.logical_xor(self.data, other.data),
+                               transform=self.transform,
+                               crs=self.crs,
+                               nodata=self.nodata)
+
+    def __invert__(self):
+
+        return self.from_array(data=np.logical_not(self.data),
+                               transform=self.transform,
+                               crs=self.crs,
+                               nodata=self.nodata)
+
+
 # -----------------------------------------
 # Additional stand-alone utility functions
 # -----------------------------------------
@@ -2641,3 +2775,4 @@ def proximity_from_vector_or_raster(
             raise ValueError('The type of proximity must be one of "in", "out" or "both".')
 
     return proximity
+
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index 70573ff31..92a850031 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -154,10 +154,9 @@ def create_mask(
         yres: float | None = None,
         bounds: tuple[float, float, float, float] | None = None,
         buffer: int | float | np.number = 0,
-    ) -> np.ndarray:
+    ) -> gu.Mask:
         """
-        Rasterize the vector features into a boolean raster which has the extent/dimensions of \
-        the provided raster file.
+        Rasterize the vector features into a boolean mask matching the georeferencing of a raster.
 
         Alternatively, user can specify a grid to rasterize on using xres, yres, bounds and crs.
         Only xres is mandatory, by default yres=xres and bounds/crs are set to self's.
@@ -172,7 +171,7 @@ def create_mask(
         :param buffer: Size of buffer to be added around the features, in the raster's projection units.
         If a negative value is set, will erode the features.
 
-        :returns: array containing the mask
+        :returns: A Mask object contain a boolean array
         """
         # If input rst is string, open as Raster
         if isinstance(rst, str):
@@ -250,7 +249,7 @@ def create_mask(
         if rst is not None:
             mask = mask.reshape((rst.count, rst.height, rst.width))  # type: ignore
 
-        return mask
+        return gu.Mask.from_array(data=mask, transform=transform, crs=crs, nodata=None)
 
     def rasterize(
         self,
@@ -261,7 +260,7 @@ def rasterize(
         bounds: tuple[float, float, float, float] | None = None,
         in_value: int | float | abc.Iterable[int | float] | None = None,
         out_value: int | float = 0,
-    ) -> np.ndarray:
+    ) -> gu.Raster | gu.Mask:
         """
         Return an array with input geometries burned in.
 
@@ -359,7 +358,15 @@ def rasterize(
         else:
             raise ValueError("in_value must be a single number or an iterable with same length as self.ds.geometry")
 
-        return mask
+        # We return a mask if there is a single value to burn and this value is ojne
+        if isinstance(in_value, Number) and in_value == 1:
+            output = gu.Mask.from_array(data=mask, transform=transform, crs=crs, nodata=None)
+
+        # Otherwise we return a Raster if there are several values to burn
+        else:
+            output = gu.Raster.from_array(data=mask, transform=transform, crs=crs, nodata=None)
+
+        return output
 
     def query(self: VectorType, expression: str, inplace: bool = False) -> VectorType:
         """

From 83c0f99f861144027f89138103564739ae28d460 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 7 Feb 2023 13:01:12 -0800
Subject: [PATCH 002/184] Add arithmetic tests and move __eq__ to
 raster_equal()

---
 geoutils/georaster/raster.py |   5 +-
 geoutils/geovector.py        |   2 +-
 tests/test_georaster.py      | 430 +++++++++++++++++++++++++----------
 tests/test_satimg.py         |   3 +-
 4 files changed, 319 insertions(+), 121 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index a8bf14a0c..250347d5e 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -549,7 +549,7 @@ def __getitem__(self, value: Raster | Vector | list[float] | tuple[float, ...])
         else:
             return self.crop(cropGeom=value, inplace=False)
 
-    def __eq__(self, other: object) -> bool:
+    def raster_equal(self, other: object) -> bool:
         """Check if a Raster masked array's data (including masked values), mask, fill_value and dtype are equal,
         as well as the Raster's nodata, and georeferencing."""
 
@@ -567,9 +567,6 @@ def __eq__(self, other: object) -> bool:
             ]
         )
 
-    def __ne__(self, other: object) -> bool:
-        return not self.__eq__(other)
-
     def _overloading_check(
         self: RasterType, other: RasterType | np.ndarray | Number
     ) -> tuple[np.ma.masked_array, np.ma.masked_array | Number, float | int | list[int] | list[float] | None]:
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index 92a850031..d6fe17f39 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -358,7 +358,7 @@ def rasterize(
         else:
             raise ValueError("in_value must be a single number or an iterable with same length as self.ds.geometry")
 
-        # We return a mask if there is a single value to burn and this value is ojne
+        # We return a mask if there is a single value to burn and this value is 1
         if isinstance(in_value, Number) and in_value == 1:
             output = gu.Mask.from_array(data=mask, transform=transform, crs=crs, nodata=None)
 
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index f5275d792..b092eb0de 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -101,7 +101,7 @@ def test_init(self, example: str) -> None:
         r4 = gr.Raster(memfile)
         assert isinstance(r4, gr.Raster)
 
-        assert r0 == r1 == r2 == r3 == r4
+        assert all([r0.raster_equal(r1), r0.raster_equal(r1), r0.raster_equal(r2), r0.raster_equal(r3), r0.raster_equal(r4)])
 
         # The data will not be copied, immutable objects will
         r0.data[0, 0, 0] += 5
@@ -428,7 +428,7 @@ def test_get_nanarray(self, example: str) -> None:
         # Check that modifying the NaN array does not back-propagate to the original array (np.ma.filled returns a view
         # when there is no invalid data, but in this case get_nanarray should copy the data).
         rst_arr += 5
-        assert rst == rst_copy
+        assert rst.raster_equal(rst_copy)
 
         # -- Then, we test with a mask returned --
         rst_arr, mask = rst.get_nanarray(return_mask=True)
@@ -438,7 +438,7 @@ def test_get_nanarray(self, example: str) -> None:
         # Also check for back-propagation here with the mask and array
         rst_arr += 5
         mask = ~mask
-        assert rst == rst_copy
+        assert rst.raster_equal(rst_copy)
 
     def test_downsampling(self) -> None:
         """
@@ -600,7 +600,7 @@ def test_copy(self, example: str) -> None:
 
         # First, we pass the new array as the masked array, mask and data of the new Raster object should be identical
         r2 = r.copy(new_array=r.data)
-        assert r == r2
+        assert r.raster_equal(r2)
 
         # When passing the new array as a NaN ndarray, only the valid data is equal, because masked data is NaN in one
         # case, and -9999 in the other
@@ -611,7 +611,7 @@ def test_copy(self, example: str) -> None:
         # be perfectly equal
         if r2.nodata is not None:
             r2.data.data[np.isnan(r2.data.data)] = r2.nodata
-        assert r == r2
+        assert r.raster_equal(r2)
 
         # -- Fifth test: check that the new_array argument works when providing a new dtype ##
         if "int" in r.dtypes[0]:
@@ -701,11 +701,11 @@ def test_crop_and_getitem(self, data: list[str]) -> None:
         # Test with same bounds -> should be the same #
         cropGeom2 = [cropGeom[0], cropGeom[1], cropGeom[2], cropGeom[3]]
         r_cropped = r.crop(cropGeom2, inplace=False)
-        assert r_cropped == r
+        assert r_cropped.raster_equal(r)
 
         # Test with bracket call
         r_cropped_getitem = r[cropGeom2]
-        assert r_cropped_getitem == r_cropped
+        assert r_cropped_getitem.raster_equal(r_cropped)
 
         # - Test cropping each side by a random integer of pixels - #
         rand_int = np.random.randint(1, min(r.shape) - 1)
@@ -752,7 +752,7 @@ def test_crop_and_getitem(self, data: list[str]) -> None:
 
         # -- Test with CropGeom being a Raster -- #
         r_cropped2 = r.crop(r_cropped, inplace=False)
-        assert r_cropped2 == r_cropped
+        assert r_cropped2.raster_equal(r_cropped)
 
         # Check that bound reprojection is done automatically if the CRS differ
         with warnings.catch_warnings():
@@ -764,16 +764,16 @@ def test_crop_and_getitem(self, data: list[str]) -> None:
 
         # Original CRS bounds can be deformed during transformation, but result should be equivalent to this
         r_cropped4 = r.crop(cropGeom=r_cropped_reproj.get_bounds_projected(out_crs=r.crs), inplace=False)
-        assert r_cropped3 == r_cropped4
+        assert r_cropped3.raster_equal(r_cropped4)
 
         # Check with bracket call
         r_cropped5 = r[r_cropped_reproj]
-        assert r_cropped4 == r_cropped5
+        assert r_cropped4.raster_equal(r_cropped5)
 
         # -- Test with inplace=True (Default) -- #
         r_copy = r.copy()
         r_copy.crop(r_cropped)
-        assert r_copy == r_cropped
+        assert r_copy.raster_equal(r_cropped)
 
         # - Test cropping each side with a non integer pixel, mode='match_pixel' - #
         rand_float = np.random.randint(1, min(r.shape) - 1) + 0.25
@@ -836,7 +836,7 @@ def test_crop_and_getitem(self, data: list[str]) -> None:
                 "ignore", category=UserWarning, message="For reprojection, dst_nodata must be set.*"
             )
             r_cropped2 = r.crop(r_cropped, inplace=False, mode="match_extent")
-        assert r_cropped2 == r_cropped
+        assert r_cropped2.raster_equal(r_cropped)
 
         # -- Test with CropGeom being a Vector -- #
         outlines = gu.Vector(outlines_path)
@@ -1069,7 +1069,7 @@ def test_reproject(self, example: str) -> None:
         r3 = r.reproject(dst_crs=out_crs, dst_nodata=0)
         r = gr.Raster(example, load_data=False)
         r4 = r.reproject(dst_crs=out_crs, dst_nodata=0)
-        assert r3 == r4
+        assert r3.raster_equal(r4)
 
         # Test that reproject does not fail with resolution as np.integer or np.float types, single value or tuple
         astype_funcs = [int, np.int32, float, np.float64]
@@ -1534,7 +1534,7 @@ def test_nodata_setter(self, example: str) -> None:
             r.set_nodata(_default_nodata(r.dtypes[0]))
             r_copy.nodata = _default_nodata(r.dtypes[0])
 
-        assert r == r_copy
+        assert r.raster_equal(r_copy)
 
     def test_default_nodata(self) -> None:
         """
@@ -1667,7 +1667,7 @@ def test_save(self, example: str) -> None:
         temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
         img.save(temp_file.name)
         saved = gr.Raster(temp_file.name)
-        assert img == saved
+        assert img.raster_equal(saved)
 
         # Try to save with a pathlib path (create a new temp file for Windows)
         temp_file_1 = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
@@ -1680,7 +1680,7 @@ def test_save(self, example: str) -> None:
         temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
         img.save(temp_file.name, co_opts=co_opts, metadata=metadata)
         saved = gr.Raster(temp_file.name)
-        assert img == saved
+        assert img.raster_equal(saved)
         assert saved.tags["Type"] == "test"
 
         # Test that nodata value is enforced when masking - since value 0 is not used, data should be unchanged
@@ -1764,7 +1764,7 @@ def test_from_array(self) -> None:
         # -> most tests already performed in test_copy, no need for more
         img = gr.Raster(self.landsat_b4_path)
         out_img = gr.Raster.from_array(img.data, img.transform, img.crs, nodata=img.nodata)
-        assert out_img == img
+        assert out_img.raster_equal(img)
 
         # Test that changes to data are taken into account
         bias = 5
@@ -1840,15 +1840,15 @@ def test_split_bands(self) -> None:
         blue2, green2 = img.split_bands(copy=False, subset=[2, 1])
 
         # Check that the subset functionality works as expected.
-        assert red == red2
-        assert green == green2
-        assert blue == blue2
+        assert red.raster_equal(red2)
+        assert green.raster_equal(green2)
+        assert blue.raster_equal(blue2)
 
         # Check that the red channel and the rgb data shares memory
         assert np.shares_memory(red.data, img.data)
 
         # Check that the red band data is not equal to the full RGB data.
-        assert red != img
+        assert not red.raster_equal(img)
 
         # Test that the red band corresponds to the first band of the img
         assert np.array_equal(
@@ -1894,7 +1894,7 @@ def test_resampling_str(self) -> None:
         # Resample the rasters using a new resampling method and see that the string and enum gives the same result.
         img3a = img1.reproject(img2, resampling="q1")
         img3b = img1.reproject(img2, resampling=rio.enums.Resampling.q1)
-        assert img3a == img3b
+        assert img3a.raster_equal(img3b)
 
     @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])  # type: ignore
     def test_polygonize(self, example: str) -> None:
@@ -2073,37 +2073,130 @@ def test_to_points(self) -> None:
         assert points_frame.crs == img2.crs
 
 
-@pytest.mark.parametrize("dtype", ["float32", "uint8", "int32"])  # type: ignore
-def test_numpy_functions(dtype: str) -> None:
-    """Test how rasters can be used as/with numpy arrays."""
-    warnings.simplefilter("error")
+class TestMask:
+    # Real data
+    landsat_b4_path = examples.get_path("everest_landsat_b4")
+    landsat_b4_crop_path = examples.get_path("everest_landsat_b4_cropped")
+    landsat_rgb_path = examples.get_path("everest_landsat_rgb")
+    everest_outlines_path = examples.get_path("everest_rgi_outlines")
+    aster_dem_path = examples.get_path("exploradores_aster_dem")
+    aster_outlines_path = examples.get_path("exploradores_rgi_outlines")
 
-    # Create an array of unique values starting at 0 and ending at 24
-    array = np.arange(25, dtype=dtype).reshape((1, 5, 5))
-    # Create an associated dummy transform
-    transform = rio.transform.from_origin(0, 5, 1, 1)
+    # Synthetic data
+    width = height = 5
+    transform = rio.transform.from_bounds(0, 0, 1, 1, width, height)
+    np.random.seed(42)
+    arr = np.random.randint(low=0, high=2, size=(1, width, height), dtype=bool)
+    arr_mask = np.random.randint(0, 2, size=(1, width, height), dtype=bool)
+    mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
 
-    # Create a raster from the array
-    raster = gu.Raster.from_array(array, transform=transform, crs=4326)
+    @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])
+    def test_init(self, example: str):
+        """Test that Mask subclass intialization function as intended."""
 
-    # Test some ufuncs
-    assert np.median(raster) == 12.0
-    assert np.mean(raster) == 12.0
+        # A warning should be raised when the raster is a multi-band
+        if "rgb" not in os.path.basename(example):
+            mask = gu.Mask(example)
+        else:
+            with pytest.warns(UserWarning, match="Multi-band raster provided to create a Mask, "
+                                                 "only the first band will be used."):
+                mask = gu.Mask(example)
+
+        # Check the masked array type
+        assert mask.data.dtype == "bool"
+        # Check output is the correct instance
+        assert isinstance(mask, gu.Mask)
+        # Check the dtypes metadata
+        assert mask.dtypes[0] == "bool"
+        # Check the nodata
+        assert mask.nodata is None
+        # Check the nbands metadata
+        assert mask.nbands == 1
+
+        # Check that a mask object is sent back from its own init
+        mask2 = gu.Mask(mask)
+        assert mask.raster_equal(mask2)
+
+    def test_from_array(self):
+        """Test that Raster.__init__ casts to Mask with dict input of from_array() and a boolean data array."""
+
+        mask_rst = gu.Raster.from_array(data=self.mask_ma, transform=self.transform, crs=None, nodata=None)
+
+        assert isinstance(mask_rst, gu.Mask)
+        assert mask_rst.transform == self.transform
+        assert mask_rst.crs is None
+        assert mask_rst.nodata is None
+
+    # List all logical operators which will cast Rasters into Masks
+    ops_logical = [
+        "__lt__",
+        "__le__",
+        "__eq__",
+        "__ne__",
+        "__gt__",
+        "__ge__",
+    ]
 
-    # Check that rasters don't become arrays when using simple arithmetic.
-    assert isinstance(raster + 1, gr.Raster)
+    @pytest.mark.parametrize("op", ops_logical)
+    @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])
+    def test_logical_casting_real(self, example: str, op: str):
+        """
+        Test that logical operations cast Raster object to Mask on real data
+        (synthetic done in TestArithmetic).
+        """
 
-    # Test the data setter method by creating a new array
-    raster.data = array + 2
+        rst = gu.Raster(example)
 
-    # Check that the median updated accordingly.
-    assert np.median(raster) == 14.0
+        # Logical operations should cast to a Mask object, preserving the mask
+        mask = getattr(rst, op)(1)
+        assert isinstance(mask, gu.Mask)
+        assert np.array_equal(mask.data.data, getattr(rst.data.data, op)(1))
+        assert np.array_equal(mask.data.mask, rst.data.mask)
 
-    # Test
-    raster += array
+    @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])
+    def test_implicit_logical_casting_real(self, example: str):
+        """
+        Test that implicit logical operations on real data
+        (synthetic done in TestArithmetic).
+        """
 
-    assert isinstance(raster, gr.Raster)
-    assert np.median(raster) == 26.0
+        rst = gu.Raster(example)
+
+        # Equality
+        mask = rst == 1
+        assert isinstance(mask, gu.Mask)
+        assert np.array_equal(mask.data.data, rst.data.data == 1)
+        assert np.array_equal(mask.data.mask, rst.data.mask)
+
+        # Non-equality
+        mask = rst != 1
+        assert isinstance(mask, gu.Mask)
+        assert np.array_equal(mask.data.data, rst.data.data != 1)
+        assert np.array_equal(mask.data.mask, rst.data.mask)
+
+        # Lower than
+        mask = rst < 1
+        assert isinstance(mask, gu.Mask)
+        assert np.array_equal(mask.data.data, rst.data.data < 1)
+        assert np.array_equal(mask.data.mask, rst.data.mask)
+
+        # Lower equal
+        mask = rst <= 1
+        assert isinstance(mask, gu.Mask)
+        assert np.array_equal(mask.data.data, rst.data.data <= 1)
+        assert np.array_equal(mask.data.mask, rst.data.mask)
+
+        # Greater than
+        mask = rst > 1
+        assert isinstance(mask, gu.Mask)
+        assert np.array_equal(mask.data.data, rst.data.data > 1)
+        assert np.array_equal(mask.data.mask, rst.data.mask)
+
+        # Greater equal
+        mask = rst >= 1
+        assert isinstance(mask, gu.Mask)
+        assert np.array_equal(mask.data.data, rst.data.data >= 1)
+        assert np.array_equal(mask.data.mask, rst.data.mask)
 
 
 class TestArithmetic:
@@ -2163,47 +2256,47 @@ class TestArithmetic:
         np.random.randint(1, 255, (height, width)).astype("float32"), transform=transform, crs=None
     )
 
-    def test_equal(self) -> None:
+    def test_raster_equal(self) -> None:
         """
-        Test that __eq__ and __ne__ work as expected
+        Test that raster_equal() works as expected.
         """
         r1 = self.r1
         r2 = r1.copy()
-        assert r1 == r2
+        assert r1.raster_equal(r2)
 
         # Change data
         r2.data += 1
-        assert r1 != r2
+        assert r1.raster_equal(r2)
 
         # Change mask (False by default)
         r2 = r1.copy()
         r2.data[0, 0] = np.ma.masked
-        assert r1 != r2
+        assert r1.raster_equal(r2)
 
         # Change fill_value (999999 by default)
         r2 = r1.copy()
         r2.data.fill_value = 0
-        assert r1 != r2
+        assert r1.raster_equal(r2)
 
         # Change dtype
         r2 = r1.copy()
         r2 = r2.astype("float32")
-        assert r1 != r2
+        assert r1.raster_equal(r2)
 
         # Change transform
         r2 = r1.copy()
         r2.transform = rio.transform.from_bounds(0, 0, 1, 1, self.width + 1, self.height)
-        assert r1 != r2
+        assert r1.raster_equal(r2)
 
         # Change CRS
         r2 = r1.copy()
         r2.crs = rio.crs.CRS.from_epsg(4326)
-        assert r1 != r2
+        assert r1.raster_equal(r2)
 
         # Change nodata
         r2 = r1.copy()
         r2.set_nodata(34)
-        assert r1 != r2
+        assert r1.raster_equal(r2)
 
     def test_equal_georeferenced_grid(self) -> None:
         """
@@ -2311,8 +2404,8 @@ def test_ops_2args_expl(self, op: str) -> None:
         r2_copy = r2.copy()
         r3 = getattr(r1, op)(r2)
         assert isinstance(r3, gr.Raster)
-        assert r1 == r1_copy
-        assert r2 == r2_copy
+        assert r1.raster_equal(r1_copy)
+        assert r2.raster_equal(r2_copy)
 
         # Test with different dtypes
         r1 = self.r1_f32
@@ -2397,37 +2490,37 @@ def test_reflectivity(self, ops: list[str]) -> None:
         # Test with uint8 rasters
         r3 = getattr(self.r1, op1)(self.r2)
         r4 = getattr(self.r1, op2)(self.r2)
-        assert r3 == r4
+        assert r3.raster_equal(r4)
 
         # Test with different dtypes
         r3 = getattr(self.r1_f32, op1)(self.r2)
         r4 = getattr(self.r1_f32, op2)(self.r2)
-        assert r3 == r4
+        assert r3.raster_equal(r4)
 
         # Test with nodata set
         r3 = getattr(self.r1_nodata, op1)(self.r2)
         r4 = getattr(self.r1_nodata, op2)(self.r2)
-        assert r3 == r4
+        assert r3.raster_equal(r4)
 
         # Test with zeros values (e.g. division)
         r3 = getattr(self.r1, op1)(self.r2_zero)
         r4 = getattr(self.r1, op2)(self.r2_zero)
-        assert r3 == r4
+        assert r3.raster_equal(r4)
 
         # Test with a numpy array
         r3 = getattr(self.r1, op1)(array)
         r4 = getattr(self.r1, op2)(array)
-        assert r3 == r4
+        assert r3.raster_equal(r4)
 
         # Test with an integer
         r3 = getattr(self.r1, op1)(intval)
         r4 = getattr(self.r1, op2)(intval)
-        assert r3 == r4
+        assert r3.raster_equal(r4)
 
         # Test with a float value
         r3 = getattr(self.r1, op1)(floatval)
         r4 = getattr(self.r1, op2)(floatval)
-        assert r3 == r4
+        assert r3.raster_equal(r4)
 
     @classmethod
     def from_array(
@@ -2446,7 +2539,7 @@ def from_array(
 
     def test_ops_2args_implicit(self) -> None:
         """
-        Test certain arithmetic overloading when called with symbols (+, -, *, /, //, %)
+        Test certain arithmetic overloading when called with symbols (+, -, *, /, //, %).
         """
         warnings.filterwarnings("ignore", message="invalid value encountered")
 
@@ -2459,65 +2552,140 @@ def test_ops_2args_implicit(self) -> None:
         floatval = 3.14
 
         # Addition
-        assert r1 + r2 == self.from_array(r1.data + r2.data, rst_ref=r1)
-        assert r1_f32 + r2 == self.from_array(r1_f32.data + r2.data, rst_ref=r1)
-        assert array_3d + r2 == self.from_array(array_3d + r2.data, rst_ref=r2)
-        assert r2 + array_3d == self.from_array(r2.data + array_3d, rst_ref=r2)
-        assert array_2d + r2 == self.from_array(array_2d[np.newaxis, :, :] + r2.data, rst_ref=r2)
-        assert r2 + array_2d == self.from_array(r2.data + array_2d[np.newaxis, :, :], rst_ref=r2)
-        assert r1 + floatval == self.from_array(r1.data + floatval, rst_ref=r1)
-        assert floatval + r1 == self.from_array(floatval + r1.data, rst_ref=r1)
-        assert r1 + r2 == r2 + r1
+        assert (r1 + r2).raster_equal(self.from_array(r1.data + r2.data, rst_ref=r1))
+        assert (r1_f32 + r2).raster_equal(self.from_array(r1_f32.data + r2.data, rst_ref=r1))
+        assert (array_3d + r2).raster_equal(self.from_array(array_3d + r2.data, rst_ref=r2))
+        assert (r2 + array_3d).raster_equal(self.from_array(r2.data + array_3d, rst_ref=r2))
+        assert (array_2d + r2).raster_equal(self.from_array(array_2d[np.newaxis, :, :] + r2.data, rst_ref=r2))
+        assert (r2 + array_2d).raster_equal(self.from_array(r2.data + array_2d[np.newaxis, :, :], rst_ref=r2))
+        assert (r1 + floatval).raster_equal(self.from_array(r1.data + floatval, rst_ref=r1))
+        assert (floatval + r1).raster_equal(self.from_array(floatval + r1.data, rst_ref=r1))
+        assert (r1 + r2).raster_equal(r2 + r1)
 
         # Multiplication
-        assert r1 * r2 == self.from_array(r1.data * r2.data, rst_ref=r1)
-        assert r1_f32 * r2 == self.from_array(r1_f32.data * r2.data, rst_ref=r1)
-        assert array_3d * r2 == self.from_array(array_3d * r2.data, rst_ref=r2)
-        assert r2 * array_3d == self.from_array(r2.data * array_3d, rst_ref=r2)
-        assert array_2d * r2 == self.from_array(array_2d[np.newaxis, :, :] * r2.data, rst_ref=r2)
-        assert r2 * array_2d == self.from_array(r2.data * array_2d[np.newaxis, :, :], rst_ref=r2)
-        assert r1 * floatval == self.from_array(r1.data * floatval, rst_ref=r1)
-        assert floatval * r1 == self.from_array(floatval * r1.data, rst_ref=r1)
-        assert r1 * r2 == r2 * r1
+        assert (r1 * r2).raster_equal(self.from_array(r1.data * r2.data, rst_ref=r1))
+        assert (r1_f32 * r2).raster_equal(self.from_array(r1_f32.data * r2.data, rst_ref=r1))
+        assert (array_3d * r2).raster_equal(self.from_array(array_3d * r2.data, rst_ref=r2))
+        assert (r2 * array_3d).raster_equal(self.from_array(r2.data * array_3d, rst_ref=r2))
+        assert (array_2d * r2).raster_equal(self.from_array(array_2d[np.newaxis, :, :] * r2.data, rst_ref=r2))
+        assert (r2 * array_2d).raster_equal(self.from_array(r2.data * array_2d[np.newaxis, :, :], rst_ref=r2))
+        assert (r1 * floatval).raster_equal(self.from_array(r1.data * floatval, rst_ref=r1))
+        assert (floatval * r1).raster_equal(self.from_array(floatval * r1.data, rst_ref=r1))
+        assert (r1 * r2).raster_equal(r2 * r1)
 
         # Subtraction
-        assert r1 - r2 == self.from_array(r1.data - r2.data, rst_ref=r1)
-        assert r1_f32 - r2 == self.from_array(r1_f32.data - r2.data, rst_ref=r1)
-        assert array_3d - r2 == self.from_array(array_3d - r2.data, rst_ref=r2)
-        assert r2 - array_3d == self.from_array(r2.data - array_3d, rst_ref=r2)
-        assert array_2d - r2 == self.from_array(array_2d[np.newaxis, :, :] - r2.data, rst_ref=r2)
-        assert r2 - array_2d == self.from_array(r2.data - array_2d[np.newaxis, :, :], rst_ref=r2)
-        assert r1 - floatval == self.from_array(r1.data - floatval, rst_ref=r1)
-        assert floatval - r1 == self.from_array(floatval - r1.data, rst_ref=r1)
+        assert (r1 - r2).raster_equal(self.from_array(r1.data - r2.data, rst_ref=r1))
+        assert (r1_f32 - r2).raster_equal(self.from_array(r1_f32.data - r2.data, rst_ref=r1))
+        assert (array_3d - r2).raster_equal(self.from_array(array_3d - r2.data, rst_ref=r2))
+        assert (r2 - array_3d).raster_equal(self.from_array(r2.data - array_3d, rst_ref=r2))
+        assert (array_2d - r2).raster_equal(self.from_array(array_2d[np.newaxis, :, :] - r2.data, rst_ref=r2))
+        assert (r2 - array_2d).raster_equal(self.from_array(r2.data - array_2d[np.newaxis, :, :], rst_ref=r2))
+        assert (r1 - floatval).raster_equal(self.from_array(r1.data - floatval, rst_ref=r1))
+        assert (floatval - r1).raster_equal(self.from_array(floatval - r1.data, rst_ref=r1))
 
         # True division
-        assert r1 / r2 == self.from_array(r1.data / r2.data, rst_ref=r1)
-        assert r1_f32 / r2 == self.from_array(r1_f32.data / r2.data, rst_ref=r1)
-        assert array_3d / r2 == self.from_array(array_3d / r2.data, rst_ref=r2)
-        assert r2 / array_3d == self.from_array(r2.data / array_3d, rst_ref=r2)
-        assert array_2d / r2 == self.from_array(array_2d[np.newaxis, :, :] / r2.data, rst_ref=r1)
-        assert r2 / array_2d == self.from_array(r2.data / array_2d[np.newaxis, :, :], rst_ref=r2)
-        assert r1 / floatval == self.from_array(r1.data / floatval, rst_ref=r1)
-        assert floatval / r1 == self.from_array(floatval / r1.data, rst_ref=r1)
+        assert (r1 / r2).raster_equal(self.from_array(r1.data / r2.data, rst_ref=r1))
+        assert (r1_f32 / r2).raster_equal(self.from_array(r1_f32.data / r2.data, rst_ref=r1))
+        assert (array_3d / r2).raster_equal(self.from_array(array_3d / r2.data, rst_ref=r2))
+        assert (r2 / array_3d).raster_equal(self.from_array(r2.data / array_3d, rst_ref=r2))
+        assert (array_2d / r2).raster_equal(self.from_array(array_2d[np.newaxis, :, :] / r2.data, rst_ref=r1))
+        assert (r2 / array_2d).raster_equal(self.from_array(r2.data / array_2d[np.newaxis, :, :], rst_ref=r2))
+        assert (r1 / floatval).raster_equal(self.from_array(r1.data / floatval, rst_ref=r1))
+        assert (floatval / r1).raster_equal(self.from_array(floatval / r1.data, rst_ref=r1))
 
         # Floor division
-        assert r1 // r2 == self.from_array(r1.data // r2.data, rst_ref=r1)
-        assert r1_f32 // r2 == self.from_array(r1_f32.data // r2.data, rst_ref=r1)
-        assert array_3d // r2 == self.from_array(array_3d // r2.data, rst_ref=r1)
-        assert r2 // array_3d == self.from_array(r2.data // array_3d, rst_ref=r1)
-        assert array_2d // r2 == self.from_array(array_2d[np.newaxis, :, :] // r2.data, rst_ref=r1)
-        assert r2 // array_2d == self.from_array(r2.data // array_2d[np.newaxis, :, :], rst_ref=r1)
-        assert r1 // floatval == self.from_array(r1.data // floatval, rst_ref=r1)
-        assert floatval // r1 == self.from_array(floatval // r1.data, rst_ref=r1)
+        assert (r1 // r2).raster_equal(self.from_array(r1.data // r2.data, rst_ref=r1))
+        assert (r1_f32 // r2).raster_equal(self.from_array(r1_f32.data // r2.data, rst_ref=r1))
+        assert (array_3d // r2).raster_equal(self.from_array(array_3d // r2.data, rst_ref=r1))
+        assert (r2 // array_3d).raster_equal(self.from_array(r2.data // array_3d, rst_ref=r1))
+        assert (array_2d // r2).raster_equal(self.from_array(array_2d[np.newaxis, :, :] // r2.data, rst_ref=r1))
+        assert (r2 // array_2d).raster_equal(self.from_array(r2.data // array_2d[np.newaxis, :, :], rst_ref=r1))
+        assert (r1 // floatval).raster_equal(self.from_array(r1.data // floatval, rst_ref=r1))
+        assert (floatval // r1).raster_equal(self.from_array(floatval // r1.data, rst_ref=r1))
 
         # Modulo
-        assert r1 % r2 == self.from_array(r1.data % r2.data, rst_ref=r1)
-        assert r1_f32 % r2 == self.from_array(r1_f32.data % r2.data, rst_ref=r1)
-        assert array_3d % r2 == self.from_array(array_3d % r2.data, rst_ref=r1)
-        assert r2 % array_3d == self.from_array(r2.data % array_3d, rst_ref=r1)
-        assert array_2d % r2 == self.from_array(array_2d[np.newaxis, :, :] % r2.data, rst_ref=r1)
-        assert r2 % array_2d == self.from_array(r2.data % array_2d[np.newaxis, :, :], rst_ref=r1)
-        assert r1 % floatval == self.from_array(r1.data % floatval, rst_ref=r1)
+        assert (r1 % r2).raster_equal(self.from_array(r1.data % r2.data, rst_ref=r1))
+        assert (r1_f32 % r2).raster_equal(self.from_array(r1_f32.data % r2.data, rst_ref=r1))
+        assert (array_3d % r2).raster_equal(self.from_array(array_3d % r2.data, rst_ref=r1))
+        assert (r2 % array_3d).raster_equal(self.from_array(r2.data % array_3d, rst_ref=r1))
+        assert (array_2d % r2).raster_equal(self.from_array(array_2d[np.newaxis, :, :] % r2.data, rst_ref=r1))
+        assert (r2 % array_2d).raster_equal(self.from_array(r2.data % array_2d[np.newaxis, :, :], rst_ref=r1))
+        assert (r1 % floatval).raster_equal(self.from_array(r1.data % floatval, rst_ref=r1))
+
+    def test_ops_logical_implicit(self) -> None:
+        """
+        Test logical arithmetic overloading when called with symbols (==, !=, <, <=, >, >=).
+        """
+        warnings.filterwarnings("ignore", message="invalid value encountered")
+
+        # Test various inputs: Raster with different dtypes, np.ndarray with 2D or 3D shape, single number
+        r1 = self.r1
+        r1_f32 = self.r1_f32
+        r2 = self.r2
+        array_3d = np.random.randint(1, 255, (1, self.height, self.width)).astype("uint8")
+        array_2d = np.random.randint(1, 255, (self.height, self.width)).astype("uint8")
+        floatval = 3.14
+
+        # Equality
+        assert (r1 == r2).raster_equal(self.from_array(r1.data == r2.data, rst_ref=r1))
+        assert (r1_f32 == r2).raster_equal(self.from_array(r1_f32.data == r2.data, rst_ref=r1))
+        assert (array_3d == r2).raster_equal(self.from_array(array_3d == r2.data, rst_ref=r2))
+        assert (r2 == array_3d).raster_equal(self.from_array(r2.data == array_3d, rst_ref=r2))
+        assert (array_2d == r2).raster_equal(self.from_array(array_2d[np.newaxis, :, :] == r2.data, rst_ref=r2))
+        assert (r2 == array_2d).raster_equal(self.from_array(r2.data == array_2d[np.newaxis, :, :], rst_ref=r2))
+        assert (r1 == floatval).raster_equal(self.from_array(r1.data == floatval, rst_ref=r1))
+        assert (floatval == r1).raster_equal(self.from_array(floatval == r1.data, rst_ref=r1))
+        assert (r1 == r2).raster_equal(r2 == r1)
+
+        # Non-equality
+        assert (r1 != r2).raster_equal(self.from_array(r1.data != r2.data, rst_ref=r1))
+        assert (r1_f32 != r2).raster_equal(self.from_array(r1_f32.data != r2.data, rst_ref=r1))
+        assert (array_3d != r2).raster_equal(self.from_array(array_3d != r2.data, rst_ref=r2))
+        assert (r2 != array_3d).raster_equal(self.from_array(r2.data != array_3d, rst_ref=r2))
+        assert (array_2d != r2).raster_equal(self.from_array(array_2d[np.newaxis, :, :] != r2.data, rst_ref=r2))
+        assert (r2 != array_2d).raster_equal(self.from_array(r2.data != array_2d[np.newaxis, :, :], rst_ref=r2))
+        assert (r1 != floatval).raster_equal(self.from_array(r1.data != floatval, rst_ref=r1))
+        assert (floatval != r1).raster_equal(self.from_array(floatval != r1.data, rst_ref=r1))
+        assert (r1 != r2).raster_equal(r2 != r1)
+
+        # Lower than
+        assert (r1 < r2).raster_equal(self.from_array(r1.data < r2.data, rst_ref=r1))
+        assert (r1_f32 < r2).raster_equal(self.from_array(r1_f32.data < r2.data, rst_ref=r1))
+        assert (array_3d < r2).raster_equal(self.from_array(array_3d < r2.data, rst_ref=r2))
+        assert (r2 < array_3d).raster_equal(self.from_array(r2.data < array_3d, rst_ref=r2))
+        assert (array_2d < r2).raster_equal(self.from_array(array_2d[np.newaxis, :, :] < r2.data, rst_ref=r2))
+        assert (r2 < array_2d).raster_equal(self.from_array(r2.data < array_2d[np.newaxis, :, :], rst_ref=r2))
+        assert (r1 < floatval).raster_equal(self.from_array(r1.data < floatval, rst_ref=r1))
+        assert (floatval < r1).raster_equal(self.from_array(floatval < r1.data, rst_ref=r1))
+
+        # Lower equal
+        assert (r1 <= r2).raster_equal(self.from_array(r1.data <= r2.data, rst_ref=r1))
+        assert (r1_f32 <= r2).raster_equal(self.from_array(r1_f32.data <= r2.data, rst_ref=r1))
+        assert (array_3d <= r2).raster_equal(self.from_array(array_3d <= r2.data, rst_ref=r2))
+        assert (r2 <= array_3d).raster_equal(self.from_array(r2.data <= array_3d, rst_ref=r2))
+        assert (array_2d <= r2).raster_equal(self.from_array(array_2d[np.newaxis, :, :] <= r2.data, rst_ref=r1))
+        assert (r2 <= array_2d).raster_equal(self.from_array(r2.data <= array_2d[np.newaxis, :, :], rst_ref=r2))
+        assert (r1 <= floatval).raster_equal(self.from_array(r1.data <= floatval, rst_ref=r1))
+        assert (floatval <= r1).raster_equal(self.from_array(floatval <= r1.data, rst_ref=r1))
+
+        # Greater than
+        assert (r1 > r2).raster_equal(self.from_array(r1.data > r2.data, rst_ref=r1))
+        assert (r1_f32 > r2).raster_equal(self.from_array(r1_f32.data > r2.data, rst_ref=r1))
+        assert (array_3d > r2).raster_equal(self.from_array(array_3d > r2.data, rst_ref=r1))
+        assert (r2 > array_3d).raster_equal(self.from_array(r2.data > array_3d, rst_ref=r1))
+        assert (array_2d > r2).raster_equal(self.from_array(array_2d[np.newaxis, :, :] > r2.data, rst_ref=r1))
+        assert (r2 > array_2d).raster_equal(self.from_array(r2.data > array_2d[np.newaxis, :, :], rst_ref=r1))
+        assert (r1 > floatval).raster_equal(self.from_array(r1.data > floatval, rst_ref=r1))
+        assert (floatval > r1).raster_equal(self.from_array(floatval > r1.data, rst_ref=r1))
+
+        # Greater equal
+        assert (r1 >= r2).raster_equal(self.from_array(r1.data >= r2.data, rst_ref=r1))
+        assert (r1_f32 >= r2).raster_equal(self.from_array(r1_f32.data >= r2.data, rst_ref=r1))
+        assert (array_3d >= r2).raster_equal(self.from_array(array_3d >= r2.data, rst_ref=r1))
+        assert (r2 >= array_3d).raster_equal(self.from_array(r2.data >= array_3d, rst_ref=r1))
+        assert (array_2d >= r2).raster_equal(self.from_array(array_2d[np.newaxis, :, :] >= r2.data, rst_ref=r1))
+        assert (r2 >= array_2d).raster_equal(self.from_array(r2.data >= array_2d[np.newaxis, :, :], rst_ref=r1))
+        assert (r1 >= floatval).raster_equal(self.from_array(r1.data >= floatval, rst_ref=r1))
 
     @pytest.mark.parametrize("op", ops_2args)  # type: ignore
     def test_raise_errors(self, op: str) -> None:
@@ -2549,6 +2717,38 @@ def test_power(self, power: float | int) -> None:
             assert self.r1**power == self.from_array(self.r1.data**power, rst_ref=self.r1)
         assert self.r1_f32**power == self.from_array(self.r1_f32.data**power, rst_ref=self.r1_f32)
 
+    @pytest.mark.parametrize("dtype", ["float32", "uint8", "int32"])  # type: ignore
+    def test_numpy_functions(self, dtype: str) -> None:
+        """Test how rasters can be used as/with numpy arrays."""
+        warnings.simplefilter("error")
+
+        # Create an array of unique values starting at 0 and ending at 24
+        array = np.arange(25, dtype=dtype).reshape((1, 5, 5))
+        # Create an associated dummy transform
+        transform = rio.transform.from_origin(0, 5, 1, 1)
+
+        # Create a raster from the array
+        raster = gu.Raster.from_array(array, transform=transform, crs=4326)
+
+        # Test some ufuncs
+        assert np.median(raster) == 12.0
+        assert np.mean(raster) == 12.0
+
+        # Check that rasters don't become arrays when using simple arithmetic.
+        assert isinstance(raster + 1, gr.Raster)
+
+        # Test the data setter method by creating a new array
+        raster.data = array + 2
+
+        # Check that the median updated accordingly.
+        assert np.median(raster) == 14.0
+
+        # Test
+        raster += array
+
+        assert isinstance(raster, gr.Raster)
+        assert np.median(raster) == 26.0
+
 
 class TestArrayInterface:
     """Test that the array interface of Raster works as expected for ufuncs and array functions"""
@@ -2826,4 +3026,4 @@ def test_array_functions(self, arrfunc_str: str, dtype: str, nodata_init: None |
             if isinstance(output_rst, np.ndarray):
                 assert np.ma.allequal(output_rst, output_ma)
             else:
-                assert output_rst == output_ma
+                assert output_rst.raster_equal(output_ma)
diff --git a/tests/test_satimg.py b/tests/test_satimg.py
index b83cc4bec..7151174ab 100644
--- a/tests/test_satimg.py
+++ b/tests/test_satimg.py
@@ -42,7 +42,8 @@ def test_init(self, example: str) -> None:
         img3 = si.SatelliteImage(r)
         assert isinstance(img3, si.SatelliteImage)
 
-        assert img == img2 == img3
+        assert img.raster_equal(img2)
+        assert img.raster_equal(img3)
 
     @pytest.mark.parametrize("example", [landsat_b4, aster_dem])  # type: ignore
     def test_silent(self, example: str) -> None:

From 8967f2b6ccaab8efafd3adcab74320bff869db68 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 7 Feb 2023 17:09:39 -0800
Subject: [PATCH 003/184] Incremental commit on tests

---
 geoutils/georaster/raster.py | 92 ++++++++++++++++++++++++++++++------
 geoutils/geovector.py        |  2 +-
 tests/test_georaster.py      | 77 +++++++++++++++++++++++++-----
 tests/test_geovector.py      | 16 +++----
 4 files changed, 151 insertions(+), 36 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 250347d5e..75286084a 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -86,6 +86,9 @@
         "quantile",
     ]
     + ["sort", "count_nonzero", "unique"]
+    + ["all", "any", "isfinite", "isinf", "isnan"]
+    + ["logical_and", "logical_or", "logical_xor", "logical_not", "all_close", "isclose", "array_equal", "array_equiv",
+       "greater", "greater_equal", "less", "less_equal", "equal", "not_equal"]
 )
 
 
@@ -482,7 +485,7 @@ def from_array(
         transform: tuple[float, ...] | Affine,
         crs: CRS | int | None,
         nodata: int | float | list[int] | list[float] | None = None,
-    ) -> RasterType:
+    ) -> RasterType | Mask:
         """Create a Raster from a numpy array and some geo-referencing information.
 
         :param data: data array
@@ -782,6 +785,78 @@ def __pow__(self: RasterType, power: int | float) -> RasterType:
         out_rst = self.from_array(out_data, self.transform, self.crs, nodata=nodata)
         return out_rst
 
+    def __eq__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
+        """
+        Element-wise equality cast into a Mask subclass.
+        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        If other is a np.ndarray, it must have the same shape.
+        Otherwise, other must be a single number.
+        """
+        self_data, other_data, _ = self._overloading_check(other)
+        out_data = self_data == other_data
+        out_mask = self.from_array(out_data, self.transform, self.crs, nodata=None)
+        return out_mask
+
+    def __ne__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
+        """
+        Element-wise equality cast into a Mask subclass.
+        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        If other is a np.ndarray, it must have the same shape.
+        Otherwise, other must be a single number.
+        """
+        self_data, other_data, _ = self._overloading_check(other)
+        out_data = self_data != other_data
+        out_mask = self.from_array(out_data, self.transform, self.crs, nodata=None)
+        return out_mask
+
+    def __lt__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
+        """
+        Element-wise equality cast into a Mask subclass.
+        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        If other is a np.ndarray, it must have the same shape.
+        Otherwise, other must be a single number.
+        """
+        self_data, other_data, _ = self._overloading_check(other)
+        out_data = self_data < other_data
+        out_mask = self.from_array(out_data, self.transform, self.crs, nodata=None)
+        return out_mask
+
+    def __le__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
+        """
+        Element-wise equality cast into a Mask subclass.
+        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        If other is a np.ndarray, it must have the same shape.
+        Otherwise, other must be a single number.
+        """
+        self_data, other_data, _ = self._overloading_check(other)
+        out_data = self_data <= other_data
+        out_mask = self.from_array(out_data, self.transform, self.crs, nodata=None)
+        return out_mask
+
+    def __gt__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
+        """
+        Element-wise equality cast into a Mask subclass.
+        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        If other is a np.ndarray, it must have the same shape.
+        Otherwise, other must be a single number.
+        """
+        self_data, other_data, _ = self._overloading_check(other)
+        out_data = self_data > other_data
+        out_mask = self.from_array(out_data, self.transform, self.crs, nodata=None)
+        return out_mask
+
+    def __ge__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
+        """
+        Element-wise equality cast into a Mask subclass.
+        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        If other is a np.ndarray, it must have the same shape.
+        Otherwise, other must be a single number.
+        """
+        self_data, other_data, _ = self._overloading_check(other)
+        out_data = self_data >= other_data
+        out_mask = self.from_array(out_data, self.transform, self.crs, nodata=None)
+        return out_mask
+
     @overload
     def astype(self, dtype: DTypeLike, inplace: Literal[False] = False) -> Raster:
         ...
@@ -2608,17 +2683,6 @@ def __init__(self, filename_or_dataset: str | RasterType | rio.io.DatasetReader
             # Define in dtypes
             self._dtypes = (bool,)
 
-    def from_array(
-        cls: type[RasterType],
-        data: np.ndarray | np.ma.masked_array,
-        transform: tuple[float, ...] | Affine,
-        crs: CRS | int | None,
-        nodata: int | float | list[int] | list[float] | None = None,
-    ) -> Mask:
-
-        return Mask(Raster.from_array(data=data, transform=transform, crs=crs, nodata=nodata))
-
-
     def reproject(
         self: Mask,
         **kwargs
@@ -2732,7 +2796,7 @@ def proximity_from_vector_or_raster(
         # We create a geodataframe with the geometry type
         boundary_shp = gpd.GeoDataFrame(geometry=vector.ds.__getattr__(geometry_type), crs=vector.crs)
         # We mask the pixels that make up the geometry type
-        mask_boundary = Vector(boundary_shp).create_mask(raster).squeeze()
+        mask_boundary = Vector(boundary_shp).create_mask(raster).get_nanarray()
 
     else:
         # We mask target pixels
@@ -2763,7 +2827,7 @@ def proximity_from_vector_or_raster(
         if in_or_out == "both":
             pass
         elif in_or_out in ["in", "out"]:
-            mask_polygon = Vector(vector.ds).create_mask(raster).squeeze()
+            mask_polygon = Vector(vector.ds).create_mask(raster).get_nanarray()
             if in_or_out == "in":
                 proximity[~mask_polygon] = 0
             else:
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index d6fe17f39..26d8f6370 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -249,7 +249,7 @@ def create_mask(
         if rst is not None:
             mask = mask.reshape((rst.count, rst.height, rst.width))  # type: ignore
 
-        return gu.Mask.from_array(data=mask, transform=transform, crs=crs, nodata=None)
+        return gu.Raster.from_array(data=mask, transform=transform, crs=crs, nodata=None)
 
     def rasterize(
         self,
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index b092eb0de..aabfc65f1 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -2138,7 +2138,7 @@ def test_from_array(self):
     ]
 
     @pytest.mark.parametrize("op", ops_logical)
-    @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])
+    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])
     def test_logical_casting_real(self, example: str, op: str):
         """
         Test that logical operations cast Raster object to Mask on real data
@@ -2153,7 +2153,7 @@ def test_logical_casting_real(self, example: str, op: str):
         assert np.array_equal(mask.data.data, getattr(rst.data.data, op)(1))
         assert np.array_equal(mask.data.mask, rst.data.mask)
 
-    @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])
+    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])
     def test_implicit_logical_casting_real(self, example: str):
         """
         Test that implicit logical operations on real data
@@ -2266,37 +2266,37 @@ def test_raster_equal(self) -> None:
 
         # Change data
         r2.data += 1
-        assert r1.raster_equal(r2)
+        assert not r1.raster_equal(r2)
 
         # Change mask (False by default)
         r2 = r1.copy()
         r2.data[0, 0] = np.ma.masked
-        assert r1.raster_equal(r2)
+        assert not r1.raster_equal(r2)
 
         # Change fill_value (999999 by default)
         r2 = r1.copy()
         r2.data.fill_value = 0
-        assert r1.raster_equal(r2)
+        assert not r1.raster_equal(r2)
 
         # Change dtype
         r2 = r1.copy()
         r2 = r2.astype("float32")
-        assert r1.raster_equal(r2)
+        assert not r1.raster_equal(r2)
 
         # Change transform
         r2 = r1.copy()
         r2.transform = rio.transform.from_bounds(0, 0, 1, 1, self.width + 1, self.height)
-        assert r1.raster_equal(r2)
+        assert not r1.raster_equal(r2)
 
         # Change CRS
         r2 = r1.copy()
         r2.crs = rio.crs.CRS.from_epsg(4326)
-        assert r1.raster_equal(r2)
+        assert not r1.raster_equal(r2)
 
         # Change nodata
         r2 = r1.copy()
         r2.set_nodata(34)
-        assert r1.raster_equal(r2)
+        assert not r1.raster_equal(r2)
 
     def test_equal_georeferenced_grid(self) -> None:
         """
@@ -2809,6 +2809,12 @@ class TestArrayInterface:
     # The full list exists in Raster
     handled_functions = gu.georaster.raster._HANDLED_FUNCTIONS
 
+    # Separate between two lists (single input and double input) for testing
+    handled_functions_2in = ["logical_and", "logical_or", "logical_xor", "logical_not", "all_close", "isclose", "array_equal", "array_equiv",
+                             "greater", "greater_equal", "less", "less_equal", "equal", "not_equal"]
+
+    handled_functions_1in = [hf for hf in handled_functions if hf not in handled_functions_2in]
+
     # Details below:
     # NaN functions: [f for f in np.lib.nanfunctions.__all__]
     # nanstatfuncs = ['nansum', 'nanmax', 'nanmin', 'nanargmax', 'nanargmin', 'nanmean', 'nanmedian', 'nanpercentile',
@@ -2975,13 +2981,13 @@ def test_array_ufunc_2nin_1nout(
                 with pytest.raises(TypeError):
                     ufunc(rst1, rst2)
 
-    @pytest.mark.parametrize("arrfunc_str", handled_functions)  # type: ignore
+    @pytest.mark.parametrize("arrfunc_str", handled_functions_1in)  # type: ignore
     @pytest.mark.parametrize(
         "dtype", ["uint8", "int8", "uint16", "int16", "uint32", "int32", "float32", "float64", "longdouble"]
     )  # type: ignore
     @pytest.mark.parametrize("nodata_init", [None, "type_default"])  # type: ignore
-    def test_array_functions(self, arrfunc_str: str, dtype: str, nodata_init: None | str) -> None:
-        """Test that array functions that we support give the same output as they would on the masked array"""
+    def test_array_functions_1nin(self, arrfunc_str: str, dtype: str, nodata_init: None | str) -> None:
+        """Test that single-input array functions that we support give the same output as they would on the masked array"""
 
         # We set the default nodata
         if nodata_init == "type_default":
@@ -3023,7 +3029,52 @@ def test_array_functions(self, arrfunc_str: str, dtype: str, nodata_init: None |
                 output_rst = arrfunc(rst)
                 output_ma = arrfunc(rst.data)
 
+            # This test is for when the NumPy function reduces the dimension of the array but not completely
             if isinstance(output_rst, np.ndarray):
                 assert np.ma.allequal(output_rst, output_ma)
+            # This test is for when the NumPy function reduces the dimension to a single number
             else:
-                assert output_rst.raster_equal(output_ma)
+                assert output_rst == output_ma
+
+    @pytest.mark.parametrize("arrfunc_str", handled_functions_2in)  # type: ignore
+    @pytest.mark.parametrize(
+        "dtype1", ["uint8", "int8", "uint16", "int16", "uint32", "int32", "float32", "float64", "longdouble"]
+    )  # type: ignore
+    @pytest.mark.parametrize(
+        "dtype2", ["uint8", "int8", "uint16", "int16", "uint32", "int32", "float32", "float64", "longdouble"]
+    )  # type: ignore
+    @pytest.mark.parametrize("nodata1_init", [None, "type_default"])  # type: ignore
+    @pytest.mark.parametrize("nodata2_init", [None, "type_default"])  # type: ignore
+    def test_array_functions_2nin(
+            self, arrfunc_str: str, nodata1_init: None | str, nodata2_init: str, dtype1: str, dtype2: str
+    ) -> None:
+        """Test that double-input array functions that we support give the same output as they would on the masked array"""
+
+        # We set the default nodatas
+        if nodata1_init == "type_default":
+            nodata1: int | None = _default_nodata(dtype1)
+        else:
+            nodata1 = None
+        if nodata2_init == "type_default":
+            nodata2: int | None = _default_nodata(dtype2)
+        else:
+            nodata2 = None
+
+        ma1 = np.ma.masked_array(data=self.arr1.astype(dtype1), mask=self.mask1)
+        ma2 = np.ma.masked_array(data=self.arr2.astype(dtype2), mask=self.mask2)
+        rst1 = gr.Raster.from_array(ma1, transform=self.transform, crs=None, nodata=nodata1)
+        rst2 = gr.Raster.from_array(ma2, transform=self.transform, crs=None, nodata=nodata2)
+
+        # Get array func
+        arrfunc = getattr(np, arrfunc_str)
+
+        # Catch warnings
+        with warnings.catch_warnings():
+
+            warnings.filterwarnings("ignore", category=RuntimeWarning)
+
+            output_rst = arrfunc(rst1, rst2)
+            output_ma = arrfunc(rst1.data, rst2.data)
+
+            assert np.ma.allequal(output_rst, output_ma)
+
diff --git a/tests/test_geovector.py b/tests/test_geovector.py
index ecd0bfb46..51a7f3f2a 100644
--- a/tests/test_geovector.py
+++ b/tests/test_geovector.py
@@ -207,7 +207,7 @@ def test_create_mask(self) -> None:
         """
         # First with given res and bounds -> Should be a 21 x 21 array with 0 everywhere except center pixel
         vector = self.vector.copy()
-        out_mask = vector.create_mask(xres=1, bounds=(0, 0, 21, 21))
+        out_mask = vector.create_mask(xres=1, bounds=(0, 0, 21, 21)).get_nanarray()
         ref_mask = np.zeros((21, 21), dtype="bool")
         ref_mask[10, 10] = True
         assert out_mask.shape == (21, 21)
@@ -220,22 +220,22 @@ def test_create_mask(self) -> None:
 
         # Then with a gu.Raster as reference, single band
         rst = gu.Raster.from_array(np.zeros((21, 21)), transform=(1.0, 0.0, 0.0, 0.0, -1.0, 21.0), crs="EPSG:4326")
-        out_mask = vector.create_mask(rst)
-        assert out_mask.shape == (1, 21, 21)
+        out_mask = vector.create_mask(rst).get_nanarray()
+        assert out_mask.shape == (21, 21)
 
         # With gu.Raster, 2 bands -> fails...
         # rst = gu.Raster.from_array(np.zeros((2, 21, 21)), transform=(1., 0., 0., 0., -1., 21.), crs='EPSG:4326')
         # out_mask = vector.create_mask(rst)
 
         # Test that buffer = 0 works
-        out_mask_buff = vector.create_mask(rst, buffer=0)
+        out_mask_buff = vector.create_mask(rst, buffer=0).get_nanarray()
         assert np.all(ref_mask == out_mask_buff)
 
         # Test that buffer > 0 works
         rst = gu.Raster.from_array(np.zeros((21, 21)), transform=(1.0, 0.0, 0.0, 0.0, -1.0, 21.0), crs="EPSG:4326")
-        out_mask = vector.create_mask(rst)
+        out_mask = vector.create_mask(rst).get_nanarray()
         for buffer in np.arange(1, 8):
-            out_mask_buff = vector.create_mask(rst, buffer=buffer)
+            out_mask_buff = vector.create_mask(rst, buffer=buffer).get_nanarray()
             diff = out_mask_buff & ~out_mask
             assert np.count_nonzero(diff) > 0
             # Difference between masks should always be thinner than buffer + 1
@@ -244,9 +244,9 @@ def test_create_mask(self) -> None:
 
         # Test that buffer < 0 works
         vector_5 = self.vector_5
-        out_mask = vector_5.create_mask(rst)
+        out_mask = vector_5.create_mask(rst).get_nanarray()
         for buffer in np.arange(-1, -3, -1):
-            out_mask_buff = vector_5.create_mask(rst, buffer=buffer)
+            out_mask_buff = vector_5.create_mask(rst, buffer=buffer).get_nanarray()
             diff = ~out_mask_buff & out_mask
             assert np.count_nonzero(diff) > 0
             # Difference between masks should always be thinner than buffer + 1

From a69262cbbaac4e1c7f37ede3b432100a669bc121 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 7 Feb 2023 17:45:33 -0800
Subject: [PATCH 004/184] Finalize tests and linting

---
 geoutils/__init__.py         |  2 +-
 geoutils/georaster/raster.py | 70 +++++++++++++++++-------------------
 tests/test_georaster.py      | 30 ++++++++--------
 3 files changed, 50 insertions(+), 52 deletions(-)

diff --git a/geoutils/__init__.py b/geoutils/__init__.py
index c2bda48cd..2838e8e4b 100644
--- a/geoutils/__init__.py
+++ b/geoutils/__init__.py
@@ -4,7 +4,7 @@
 
 from geoutils import spatial_tools  # noqa
 from geoutils import examples, georaster, geovector, projtools, satimg  # noqa
-from geoutils.georaster import Raster, Mask  # noqa
+from geoutils.georaster import Mask, Raster  # noqa
 from geoutils.geovector import Vector  # noqa
 from geoutils.satimg import SatelliteImage  # noqa
 
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 75286084a..5d29afb53 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -52,7 +52,7 @@
 RasterType = TypeVar("RasterType", bound="Raster")
 
 # List of numpy functions that are handled: nan statistics function, normal statistics function and sorting/counting
-_HANDLED_FUNCTIONS = (
+_HANDLED_FUNCTIONS_1NIN = (
     [
         "nansum",
         "nanmax",
@@ -86,10 +86,10 @@
         "quantile",
     ]
     + ["sort", "count_nonzero", "unique"]
-    + ["all", "any", "isfinite", "isinf", "isnan"]
-    + ["logical_and", "logical_or", "logical_xor", "logical_not", "all_close", "isclose", "array_equal", "array_equiv",
-       "greater", "greater_equal", "less", "less_equal", "equal", "not_equal"]
-)
+    + ["all", "any", "isfinite", "isinf", "isnan", "logical_not"])
+
+_HANDLED_FUNCTIONS_2NIN = (["logical_and", "logical_or", "logical_xor", "allclose","isclose","array_equal","array_equiv","greater",
+                            "greater_equal",  "less", "less_equal",  "equal", "not_equal"])
 
 
 # Function to set the default nodata values for any given dtype
@@ -1357,7 +1357,7 @@ def __array_function__(
         """
 
         # If function is not implemented
-        if func.__name__ not in _HANDLED_FUNCTIONS:
+        if func.__name__ not in _HANDLED_FUNCTIONS_1NIN + _HANDLED_FUNCTIONS_2NIN:
             return NotImplemented
 
         # For subclassing
@@ -1381,7 +1381,11 @@ def __array_function__(
         else:
             first_arg = args[0].data
 
-        return func(first_arg, *args[1:], **kwargs)  # type: ignore
+        if func.__name__ in _HANDLED_FUNCTIONS_1NIN:
+            return func(first_arg, *args[1:], **kwargs)  # type: ignore
+        else:
+            second_arg = args[1].data
+            return func(first_arg, second_arg, *args[2:], **kwargs) # type: ignore
 
     # Note the star is needed because of the default argument 'mode' preceding non default arg 'inplace'
     # Then the final overload must be duplicated
@@ -2653,8 +2657,9 @@ def proximity(
 
 # Subclass Mask for manipulating boolean Rasters
 class Mask(Raster):
-
-    def __init__(self, filename_or_dataset: str | RasterType | rio.io.DatasetReader | rio.io.MemoryFile | dict, **kwargs):
+    def __init__(
+        self, filename_or_dataset: str | RasterType | rio.io.DatasetReader | rio.io.MemoryFile | dict, **kwargs
+    ):
 
         # If a Mask is passed, simply point back to Mask
         if isinstance(filename_or_dataset, Mask):
@@ -2667,8 +2672,10 @@ def __init__(self, filename_or_dataset: str | RasterType | rio.io.DatasetReader
 
             # If nbands larger than one, use only first band and raise a warning
             if self.nbands > 1:
-                warnings.warn(category=UserWarning,
-                              message="Multi-band raster provided to create a Mask, only the first band will be used.")
+                warnings.warn(
+                    category=UserWarning,
+                    message="Multi-band raster provided to create a Mask, only the first band will be used.",
+                )
                 self._data = np.reshape(self.data[0, :], (1, self.shape[0], self.shape[1]))
 
             # Convert masked array to boolean
@@ -2683,10 +2690,7 @@ def __init__(self, filename_or_dataset: str | RasterType | rio.io.DatasetReader
             # Define in dtypes
             self._dtypes = (bool,)
 
-    def reproject(
-        self: Mask,
-        **kwargs
-    ) -> Mask:
+    def reproject(self: Mask, **kwargs) -> Mask:
 
         # Depending on resampling, adjust to rasterio supported types
         if kwargs["resampling"] in [Resampling.nearest, "nearest"]:
@@ -2702,10 +2706,7 @@ def reproject(
 
         return output
 
-    def crop(
-        self: RasterType,
-        **kwargs
-    ) -> None:
+    def crop(self: RasterType, **kwargs) -> None:
 
         # If there is resampling involved during cropping, encapsulate type as in reproject()
         if kwargs["match_extent"]:
@@ -2729,37 +2730,33 @@ def polygonize(
             warnings.warn("In-value converted to boolean for polygonizing mask.")
             in_value = in_value.astype(bool).astype(int)
 
-        self.data = self.data.astype('uint8')
+        self._data = self.data.astype("uint8")
         return super().polygonize(in_value=in_value)
 
     # Logical operations between mask objects: scale to the entire mask
     def __and__(self, other):
 
-        return self.from_array(data=np.logical_and(self.data, other.data),
-                               transform=self.transform,
-                               crs=self.crs,
-                               nodata=self.nodata)
+        return self.from_array(
+            data=np.logical_and(self.data, other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
+        )
 
     def __or__(self, other):
 
-        return self.from_array(data=np.logical_or(self.data, other.data),
-                               transform=self.transform,
-                               crs=self.crs,
-                               nodata=self.nodata)
+        return self.from_array(
+            data=np.logical_or(self.data, other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
+        )
 
     def __xor__(self, other):
 
-        return self.from_array(data=np.logical_xor(self.data, other.data),
-                               transform=self.transform,
-                               crs=self.crs,
-                               nodata=self.nodata)
+        return self.from_array(
+            data=np.logical_xor(self.data, other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
+        )
 
     def __invert__(self):
 
-        return self.from_array(data=np.logical_not(self.data),
-                               transform=self.transform,
-                               crs=self.crs,
-                               nodata=self.nodata)
+        return self.from_array(
+            data=np.logical_not(self.data), transform=self.transform, crs=self.crs, nodata=self.nodata
+        )
 
 
 # -----------------------------------------
@@ -2836,4 +2833,3 @@ def proximity_from_vector_or_raster(
             raise ValueError('The type of proximity must be one of "in", "out" or "both".')
 
     return proximity
-
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index aabfc65f1..0d846ab24 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -101,7 +101,9 @@ def test_init(self, example: str) -> None:
         r4 = gr.Raster(memfile)
         assert isinstance(r4, gr.Raster)
 
-        assert all([r0.raster_equal(r1), r0.raster_equal(r1), r0.raster_equal(r2), r0.raster_equal(r3), r0.raster_equal(r4)])
+        assert all(
+            [r0.raster_equal(r1), r0.raster_equal(r1), r0.raster_equal(r2), r0.raster_equal(r3), r0.raster_equal(r4)]
+        )
 
         # The data will not be copied, immutable objects will
         r0.data[0, 0, 0] += 5
@@ -2092,14 +2094,15 @@ class TestMask:
 
     @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])
     def test_init(self, example: str):
-        """Test that Mask subclass intialization function as intended."""
+        """Test that Mask subclass initialization function as intended."""
 
         # A warning should be raised when the raster is a multi-band
         if "rgb" not in os.path.basename(example):
             mask = gu.Mask(example)
         else:
-            with pytest.warns(UserWarning, match="Multi-band raster provided to create a Mask, "
-                                                 "only the first band will be used."):
+            with pytest.warns(
+                UserWarning, match="Multi-band raster provided to create a Mask, only the first band will be used."
+            ):
                 mask = gu.Mask(example)
 
         # Check the masked array type
@@ -2806,14 +2809,10 @@ class TestArrayInterface:
     # - sorting and counting;
     # Most other math functions are already universal functions
 
-    # The full list exists in Raster
-    handled_functions = gu.georaster.raster._HANDLED_FUNCTIONS
 
     # Separate between two lists (single input and double input) for testing
-    handled_functions_2in = ["logical_and", "logical_or", "logical_xor", "logical_not", "all_close", "isclose", "array_equal", "array_equiv",
-                             "greater", "greater_equal", "less", "less_equal", "equal", "not_equal"]
-
-    handled_functions_1in = [hf for hf in handled_functions if hf not in handled_functions_2in]
+    handled_functions_2in = gu.georaster.raster._HANDLED_FUNCTIONS_2NIN
+    handled_functions_1in = gu.georaster.raster._HANDLED_FUNCTIONS_1NIN
 
     # Details below:
     # NaN functions: [f for f in np.lib.nanfunctions.__all__]
@@ -2987,7 +2986,9 @@ def test_array_ufunc_2nin_1nout(
     )  # type: ignore
     @pytest.mark.parametrize("nodata_init", [None, "type_default"])  # type: ignore
     def test_array_functions_1nin(self, arrfunc_str: str, dtype: str, nodata_init: None | str) -> None:
-        """Test that single-input array functions that we support give the same output as they would on the masked array"""
+        """
+        Test that single-input array functions that we support give the same output as they would on the masked array.
+        """
 
         # We set the default nodata
         if nodata_init == "type_default":
@@ -3046,9 +3047,11 @@ def test_array_functions_1nin(self, arrfunc_str: str, dtype: str, nodata_init: N
     @pytest.mark.parametrize("nodata1_init", [None, "type_default"])  # type: ignore
     @pytest.mark.parametrize("nodata2_init", [None, "type_default"])  # type: ignore
     def test_array_functions_2nin(
-            self, arrfunc_str: str, nodata1_init: None | str, nodata2_init: str, dtype1: str, dtype2: str
+        self, arrfunc_str: str, nodata1_init: None | str, nodata2_init: str, dtype1: str, dtype2: str
     ) -> None:
-        """Test that double-input array functions that we support give the same output as they would on the masked array"""
+        """
+        Test that double-input array functions that we support give the same output as they would on the masked array.
+        """
 
         # We set the default nodatas
         if nodata1_init == "type_default":
@@ -3077,4 +3080,3 @@ def test_array_functions_2nin(
             output_ma = arrfunc(rst1.data, rst2.data)
 
             assert np.ma.allequal(output_rst, output_ma)
-

From f0036dfc10f72513890c8881ce435fca2140c7c2 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 7 Feb 2023 17:47:37 -0800
Subject: [PATCH 005/184] Linting

---
 geoutils/georaster/raster.py | 24 +++++++++++++++++++-----
 tests/test_georaster.py      |  1 -
 2 files changed, 19 insertions(+), 6 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 5d29afb53..2723022d1 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -86,10 +86,24 @@
         "quantile",
     ]
     + ["sort", "count_nonzero", "unique"]
-    + ["all", "any", "isfinite", "isinf", "isnan", "logical_not"])
-
-_HANDLED_FUNCTIONS_2NIN = (["logical_and", "logical_or", "logical_xor", "allclose","isclose","array_equal","array_equiv","greater",
-                            "greater_equal",  "less", "less_equal",  "equal", "not_equal"])
+    + ["all", "any", "isfinite", "isinf", "isnan", "logical_not"]
+)
+
+_HANDLED_FUNCTIONS_2NIN = [
+    "logical_and",
+    "logical_or",
+    "logical_xor",
+    "allclose",
+    "isclose",
+    "array_equal",
+    "array_equiv",
+    "greater",
+    "greater_equal",
+    "less",
+    "less_equal",
+    "equal",
+    "not_equal",
+]
 
 
 # Function to set the default nodata values for any given dtype
@@ -1385,7 +1399,7 @@ def __array_function__(
             return func(first_arg, *args[1:], **kwargs)  # type: ignore
         else:
             second_arg = args[1].data
-            return func(first_arg, second_arg, *args[2:], **kwargs) # type: ignore
+            return func(first_arg, second_arg, *args[2:], **kwargs)  # type: ignore
 
     # Note the star is needed because of the default argument 'mode' preceding non default arg 'inplace'
     # Then the final overload must be duplicated
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 0d846ab24..1389f9ee7 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -2809,7 +2809,6 @@ class TestArrayInterface:
     # - sorting and counting;
     # Most other math functions are already universal functions
 
-
     # Separate between two lists (single input and double input) for testing
     handled_functions_2in = gu.georaster.raster._HANDLED_FUNCTIONS_2NIN
     handled_functions_1in = gu.georaster.raster._HANDLED_FUNCTIONS_1NIN

From 94bb65edbdf80563aba6d9ae8460e31a2f115cbd Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 9 Feb 2023 16:50:56 -0800
Subject: [PATCH 006/184] Make mypy happy

---
 geoutils/georaster/raster.py | 124 +++++++++++++++++++++++++++--------
 geoutils/geovector.py        |   2 +-
 tests/test_georaster.py      |  16 ++---
 3 files changed, 106 insertions(+), 36 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 53f497db8..83f19bef7 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -520,7 +520,7 @@ def from_array(
         transform: tuple[float, ...] | Affine,
         crs: CRS | int | None,
         nodata: int | float | list[int] | list[float] | None = None,
-    ) -> RasterType | Mask:
+    ) -> RasterType:
         """Create a Raster from a numpy array and some geo-referencing information.
 
         :param data: data array
@@ -558,8 +558,9 @@ def from_array(
             crs = CRS.from_epsg(crs)
 
         # If the data was transformed into boolean, re-initialize as a Mask subclass
+        # Typing: we can specify this behaviour in @overload once we add the NumPy plugin of MyPy
         if data.dtype == bool:
-            return Mask({"data": data, "transform": transform, "crs": crs, "nodata": nodata})
+            return Mask({"data": data, "transform": transform, "crs": crs, "nodata": nodata})  # type: ignore
         # Otherwise, keep as a given RasterType subclass
         else:
             return cls({"data": data, "transform": transform, "crs": crs, "nodata": nodata})
@@ -844,7 +845,7 @@ def __pow__(self: RasterType, power: int | float) -> RasterType:
         out_rst = self.from_array(out_data, self.transform, self.crs, nodata=nodata)
         return out_rst
 
-    def __eq__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
+    def __eq__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:  # type: ignore
         """
         Element-wise equality cast into a Mask subclass.
         If other is a Raster, it must have the same data.shape, transform and crs as self.
@@ -856,7 +857,7 @@ def __eq__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
         out_mask = self.from_array(out_data, self.transform, self.crs, nodata=None)
         return out_mask
 
-    def __ne__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
+    def __ne__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:  # type: ignore
         """
         Element-wise equality cast into a Mask subclass.
         If other is a Raster, it must have the same data.shape, transform and crs as self.
@@ -868,7 +869,7 @@ def __ne__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
         out_mask = self.from_array(out_data, self.transform, self.crs, nodata=None)
         return out_mask
 
-    def __lt__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
+    def __lt__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:
         """
         Element-wise equality cast into a Mask subclass.
         If other is a Raster, it must have the same data.shape, transform and crs as self.
@@ -880,7 +881,7 @@ def __lt__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
         out_mask = self.from_array(out_data, self.transform, self.crs, nodata=None)
         return out_mask
 
-    def __le__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
+    def __le__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:
         """
         Element-wise equality cast into a Mask subclass.
         If other is a Raster, it must have the same data.shape, transform and crs as self.
@@ -892,7 +893,7 @@ def __le__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
         out_mask = self.from_array(out_data, self.transform, self.crs, nodata=None)
         return out_mask
 
-    def __gt__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
+    def __gt__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:
         """
         Element-wise equality cast into a Mask subclass.
         If other is a Raster, it must have the same data.shape, transform and crs as self.
@@ -904,7 +905,7 @@ def __gt__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
         out_mask = self.from_array(out_data, self.transform, self.crs, nodata=None)
         return out_mask
 
-    def __ge__(self: RasterType, other: RasterType | np.ndarray | Number) -> Mask:
+    def __ge__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:
         """
         Element-wise equality cast into a Mask subclass.
         If other is a Raster, it must have the same data.shape, transform and crs as self.
@@ -2790,8 +2791,10 @@ def proximity(
 # Subclass Mask for manipulating boolean Rasters
 class Mask(Raster):
     def __init__(
-        self, filename_or_dataset: str | RasterType | rio.io.DatasetReader | rio.io.MemoryFile | dict, **kwargs
-    ):
+        self,
+        filename_or_dataset: str | RasterType | rio.io.DatasetReader | rio.io.MemoryFile | dict[str, Any],
+        **kwargs: Any,
+    ) -> None:
 
         # If a Mask is passed, simply point back to Mask
         if isinstance(filename_or_dataset, Mask):
@@ -2822,69 +2825,136 @@ def __init__(
             # Define in dtypes
             self._dtypes = (bool,)
 
-    def reproject(self: Mask, **kwargs) -> Mask:
+    def reproject(
+        self: Mask,
+        dst_ref: RasterType | rio.io.Dataset | str | None = None,
+        dst_crs: CRS | str | int | None = None,
+        dst_size: tuple[int, int] | None = None,
+        dst_bounds: dict[str, float] | rio.coords.BoundingBox | None = None,
+        dst_res: float | abc.Iterable[float] | None = None,
+        dst_nodata: int | float | list[int] | list[float] | None = None,
+        src_nodata: int | float | list[int] | list[float] | None = None,
+        dst_dtype: np.dtype | None = None,
+        resampling: Resampling | str = Resampling.bilinear,
+        silent: bool = False,
+        n_threads: int = 0,
+        memory_limit: int = 64,
+    ) -> Mask:
 
         # Depending on resampling, adjust to rasterio supported types
-        if kwargs["resampling"] in [Resampling.nearest, "nearest"]:
+        if resampling in [Resampling.nearest, "nearest"]:
             self.data = self.data.astype("uint8")
         else:
             self.data = self.data.astype("float32")
 
         # Call Raster.reproject()
-        output = super().reproject(**kwargs)  # type: ignore
+        output = super().reproject(
+            dst_ref=dst_ref,
+            dst_crs=dst_crs,
+            dst_size=dst_size,
+            dst_bounds=dst_bounds,
+            dst_res=dst_res,
+            dst_nodata=dst_nodata,
+            src_nodata=src_nodata,
+            dst_dtype=dst_dtype,
+            resampling=resampling,
+            silent=silent,
+            n_threads=n_threads,
+            memory_limit=memory_limit,
+        )
 
         # Transform back to a boolean array
         output.data = output.data.astype(bool)
 
         return output
 
-    def crop(self: RasterType, **kwargs) -> None:
+    # Note the star is needed because of the default argument 'mode' preceding non default arg 'inplace'
+    # Then the final overload must be duplicated
+    @overload
+    def crop(
+        self: Mask,
+        cropGeom: Mask | Vector | list[float] | tuple[float, ...],
+        mode: Literal["match_pixel"] | Literal["match_extent"] = "match_pixel",
+        *,
+        inplace: Literal[True],
+    ) -> None:
+        ...
+
+    @overload
+    def crop(
+        self: Mask,
+        cropGeom: Mask | Vector | list[float] | tuple[float, ...],
+        mode: Literal["match_pixel"] | Literal["match_extent"] = "match_pixel",
+        *,
+        inplace: Literal[False],
+    ) -> Mask:
+        ...
+
+    @overload
+    def crop(
+        self: Mask,
+        cropGeom: Mask | Vector | list[float] | tuple[float, ...],
+        mode: Literal["match_pixel"] | Literal["match_extent"] = "match_pixel",
+        inplace: bool = True,
+    ) -> Mask | None:
+        ...
+
+    def crop(
+        self: Mask,
+        cropGeom: Mask | Vector | list[float] | tuple[float, ...],
+        mode: Literal["match_pixel"] | Literal["match_extent"] = "match_pixel",
+        inplace: bool = True,
+    ) -> Mask | None:
 
         # If there is resampling involved during cropping, encapsulate type as in reproject()
-        if kwargs["match_extent"]:
+        if mode == "match_extent":
             self.data = self.data.astype("float32")
-            if kwargs["in_place"]:
-                super().crop(**kwargs)
+            if inplace:
+                super().crop(cropGeom=cropGeom, mode=mode, inplace=inplace)
                 self.data = self.data.astype(bool)
+                return None
             else:
-                output = super().crop(**kwargs)
+                output = super().crop(cropGeom=cropGeom, mode=mode, inplace=inplace)
                 output.data = output.data.astype(bool)
-                return output.data
+                return output
         # Otherwise, run a classic crop
         else:
-            super().crop(**kwargs)
+            if not inplace:
+                return super().crop(cropGeom=cropGeom, mode=mode, inplace=inplace)
+            else:
+                return None
 
     def polygonize(
         self, in_value: Number | tuple[Number, Number] | list[Number] | np.ndarray | Literal["all"] = 1
     ) -> Vector:
 
-        if in_value not in [0, 1]:
-            warnings.warn("In-value converted to boolean for polygonizing mask.")
-            in_value = in_value.astype(bool).astype(int)
+        if not isinstance(in_value, (int, np.integer, float, np.floating)) or in_value not in [0, 1]:
+            warnings.warn("In-value converted to 1 for polygonizing boolean mask.")
+            in_value = 1
 
         self._data = self.data.astype("uint8")
         return super().polygonize(in_value=in_value)
 
     # Logical operations between mask objects: scale to the entire mask
-    def __and__(self, other):
+    def __and__(self: Mask, other: Mask) -> Mask:
 
         return self.from_array(
             data=np.logical_and(self.data, other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
         )
 
-    def __or__(self, other):
+    def __or__(self: Mask, other: Mask) -> Mask:
 
         return self.from_array(
             data=np.logical_or(self.data, other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
         )
 
-    def __xor__(self, other):
+    def __xor__(self: Mask, other: Mask) -> Mask:
 
         return self.from_array(
             data=np.logical_xor(self.data, other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
         )
 
-    def __invert__(self):
+    def __invert__(self: Mask) -> Mask:
 
         return self.from_array(
             data=np.logical_not(self.data), transform=self.transform, crs=self.crs, nodata=self.nodata
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index b4309969a..ee247aa32 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -423,7 +423,7 @@ def rasterize(
             raise ValueError("in_value must be a single number or an iterable with same length as self.ds.geometry")
 
         # We return a mask if there is a single value to burn and this value is 1
-        if isinstance(in_value, Number) and in_value == 1:
+        if isinstance(in_value, (int, np.integer, float, np.floating)) and in_value == 1:
             output = gu.Mask.from_array(data=mask, transform=transform, crs=crs, nodata=None)
 
         # Otherwise we return a Raster if there are several values to burn
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 048678d3c..e0d09051b 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -2288,8 +2288,8 @@ class TestMask:
     arr_mask = np.random.randint(0, 2, size=(1, width, height), dtype=bool)
     mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
 
-    @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])
-    def test_init(self, example: str):
+    @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])  # type: ignore
+    def test_init(self, example: str) -> None:
         """Test that Mask subclass initialization function as intended."""
 
         # A warning should be raised when the raster is a multi-band
@@ -2316,7 +2316,7 @@ def test_init(self, example: str):
         mask2 = gu.Mask(mask)
         assert mask.raster_equal(mask2)
 
-    def test_from_array(self):
+    def test_from_array(self) -> None:
         """Test that Raster.__init__ casts to Mask with dict input of from_array() and a boolean data array."""
 
         mask_rst = gu.Raster.from_array(data=self.mask_ma, transform=self.transform, crs=None, nodata=None)
@@ -2336,9 +2336,9 @@ def test_from_array(self):
         "__ge__",
     ]
 
-    @pytest.mark.parametrize("op", ops_logical)
-    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])
-    def test_logical_casting_real(self, example: str, op: str):
+    @pytest.mark.parametrize("op", ops_logical)  # type: ignore
+    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])  # type: ignore
+    def test_logical_casting_real(self, example: str, op: str) -> None:
         """
         Test that logical operations cast Raster object to Mask on real data
         (synthetic done in TestArithmetic).
@@ -2352,8 +2352,8 @@ def test_logical_casting_real(self, example: str, op: str):
         assert np.array_equal(mask.data.data, getattr(rst.data.data, op)(1))
         assert np.array_equal(mask.data.mask, rst.data.mask)
 
-    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])
-    def test_implicit_logical_casting_real(self, example: str):
+    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])  # type: ignore
+    def test_implicit_logical_casting_real(self, example: str) -> None:
         """
         Test that implicit logical operations on real data
         (synthetic done in TestArithmetic).

From 16795fc7e91e441466b7ad3eb0dddc6e1fcb29df Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 9 Feb 2023 20:44:05 -0800
Subject: [PATCH 007/184] Update nbands into count after merge of related PR

---
 geoutils/georaster/raster.py | 5 +----
 tests/test_georaster.py      | 2 +-
 2 files changed, 2 insertions(+), 5 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 83f19bef7..712397cce 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -2806,7 +2806,7 @@ def __init__(
             super().__init__(filename_or_dataset, **kwargs)
 
             # If nbands larger than one, use only first band and raise a warning
-            if self.nbands > 1:
+            if self.count > 1:
                 warnings.warn(
                     category=UserWarning,
                     message="Multi-band raster provided to create a Mask, only the first band will be used.",
@@ -2816,9 +2816,6 @@ def __init__(
             # Convert masked array to boolean
             self._data = self.data.astype(bool)
 
-            # Fix nband to one
-            self._nbands = 1
-
             # Fix nodata to None
             self._nodata = None
 
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index e0d09051b..bf1a6d6bb 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -2310,7 +2310,7 @@ def test_init(self, example: str) -> None:
         # Check the nodata
         assert mask.nodata is None
         # Check the nbands metadata
-        assert mask.nbands == 1
+        assert mask.count == 1
 
         # Check that a mask object is sent back from its own init
         mask2 = gu.Mask(mask)

From 7122c03536bd7497880891d40a8f7e66621f1c07 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 10 Feb 2023 14:23:21 -0800
Subject: [PATCH 008/184] Move doc to sphinx-book-theme

---
 dev-environment.yml                           |   5 +-
 dev-requirements.txt                          |   3 +-
 doc/source/about_geoutils.md                  |  68 ++++++++++
 doc/source/api.md                             |  64 +++++++++
 doc/source/api.rst                            |  61 ---------
 doc/source/conf.py                            |  12 +-
 doc/source/index.md                           |  47 +++++++
 doc/source/index.rst                          |  38 ------
 doc/source/quick_start.md                     |   9 ++
 doc/source/raster-basics.md                   | 128 ++++++++++++++++++
 doc/source/raster-basics.rst                  | 119 ----------------
 .../{satimg-basics.rst => satimg-basics.md}   |  21 +--
 doc/source/vector-basics.md                   |  49 +++++++
 doc/source/vector-basics.rst                  |  45 ------
 14 files changed, 393 insertions(+), 276 deletions(-)
 create mode 100644 doc/source/about_geoutils.md
 create mode 100644 doc/source/api.md
 delete mode 100644 doc/source/api.rst
 create mode 100644 doc/source/index.md
 delete mode 100644 doc/source/index.rst
 create mode 100644 doc/source/quick_start.md
 create mode 100644 doc/source/raster-basics.md
 delete mode 100644 doc/source/raster-basics.rst
 rename doc/source/{satimg-basics.rst => satimg-basics.md} (67%)
 create mode 100644 doc/source/vector-basics.md
 delete mode 100644 doc/source/vector-basics.rst

diff --git a/dev-environment.yml b/dev-environment.yml
index 38a838994..37b0f62bc 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -12,7 +12,7 @@ dependencies:
 
   # Development-specific
   - sphinx
-  - sphinx_rtd_theme
+  - myst-parser
   - sphinx-autodoc-typehints
   - sphinxcontrib-programoutput
   - numpydoc
@@ -27,3 +27,6 @@ dependencies:
   - scikit-image
   - pyyaml
   - rioxarray
+
+  - pip:
+    - sphinx-book-theme
diff --git a/dev-requirements.txt b/dev-requirements.txt
index 15a509ce4..52adaeb11 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -6,11 +6,12 @@ pytest
 pytest-xdist
 pytest-lazy-fixture
 sphinx
-sphinx_rtd_theme
+sphinx-book-theme
 pylint
 sphinxcontrib_programoutput
 sphinx_autodoc_typehints
 matplotlib
+myst-parser
 scipy
 pre-commit
 typing-extensions
diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
new file mode 100644
index 000000000..ddd18ecaa
--- /dev/null
+++ b/doc/source/about_geoutils.md
@@ -0,0 +1,68 @@
+(about-geoutils)=
+
+# About GeoUtils
+
+
+GeoUtils is a [Python](https://www.python.org/) package for the analysis of georeferenced raster and vectors, with name standing for _geospatial utilities_.
+It is designed for all Earth and planetary observation science.
+
+
+```{epigraph}
+The core mission of GeoUtils is to be **easy-of-use**, **robust**, **reproducible** and **fully open**.
+
+Additionally, GeoUtils aims to be **efficient**, **scalable** and **state-of-the-art**.
+```
+
+```{important}
+:class: margin
+GeoUtils is in early stages of development and its features might evolve rapidly. Note the version you are working on for
+**reproducibility**!
+We are working on making features fully consistent for the first long-term release ``v0.1`` (likely sometime in 2023).
+```
+
+In details, those mean:
+
+- **Ease-of-use:** all basic operations or methods should only require a few lines of code to be performed;
+
+- **Robustness:** all DEM methods should be tested within our continuous integration test-suite, to enforce that they always perform as expected;
+
+- **Reproducibility:** all code should be version-controlled and release-based, to ensure consistency of dependent
+  packages and works;
+
+- **Open-source:** all code should be accessible and re-usable to anyone in the community, for transparency and open governance.
+
+```{note}
+:class: margin
+Additional mission points, in particular **scalability**, are partly developed but not a priority until our first long-term release ``v0.1`` is reached.
+```
+
+And, additionally:
+
+- **Efficiency**: all methods should be optimized at the lower-level, to function with the highest performance offered by Python packages;
+
+- **Scalability**: all methods should support both lazy processing and distributed parallelized processing, to work with high-resolution data on local machines as well as on HPCs;
+
+- **State-of-the-art**: all methods should be at the cutting edge of remote sensing science, to provide users with the most reliable and up-to-date tools.
+
+
+# The people behind GeoUtils
+
+```{margin}
+<sup>2</sup>More on our GlacioHack founder at [adehecq.github.io](https://adehecq.github.io/)!
+```
+
+GeoUtils was created during the [GlacioHack](https://github.com/GlacioHack) hackaton event, that was initiated by
+Amaury Dehecq<sup>2</sup> and took place online on November 8, 2020.
+
+```{margin}
+<sup>3</sup>Check-out [glaciology.ch](https://glaciology.ch) on our founding group of VAW glaciology!
+```
+
+The initial core development of GeoUtils was performed by members of the Glaciology group of the Laboratory of Hydraulics, Hydrology and
+Glaciology (VAW) at ETH Zürich<sup>3</sup>, with contributions by members of the University of Oslo, the University of Washington, and University
+Grenobles Alpes.
+
+We are not software developers but geoscientists, and we try our best to offer tools that can be useful to a larger group,
+documented, reliable and maintained. All development and maintenance is made on a voluntary basis and we welcome
+any new contributors. See some information on how to contribute in the dedicated page of our
+[GitHub repository](https://github.com/GlacioHack/geoutils/blob/main/CONTRIBUTING.md).
diff --git a/doc/source/api.md b/doc/source/api.md
new file mode 100644
index 000000000..1790a23b4
--- /dev/null
+++ b/doc/source/api.md
@@ -0,0 +1,64 @@
+(api)=
+
+# API Reference
+
+Full information about geoutils' functionality is provided on this page.
+
+```{eval-rst}
+.. currentmodule:: geoutils
+```
+
+```{eval-rst}
+.. autosummary::
+        :toctree: gen_modules/
+        :template: module.rst
+        :recursive:
+
+        georaster
+        georaster.raster
+        geovector
+        projtools
+        satimg
+        geoviewer
+```
+
+% automodule geoutils
+%
+% .. contents:: Contents
+%    :local:
+%
+% Raster
+% ------
+% .. autoclass:: Raster
+%      :show-inheritance:
+%      :special-members: __init__
+%      :members:
+%
+% .. _sphx_glr_backref_geoutils.Raster:
+%
+% .. minigallery:: geoutils.Raster
+%      :add-heading:
+%
+% Vector
+% ------
+% .. autoclass:: Vector
+%      :show-inheritance:
+%      :special-members: __init__
+%      :members:
+%
+% .. _sphx_glr_backref_geoutils.Vector:
+%
+% .. minigallery:: geoutils.Vector
+%      :add-heading:
+%
+% SatelliteImage
+% --------------
+% .. autoclass:: SatelliteImage
+%      :show-inheritance:
+%      :special-members: __init__
+%      :members:
+%
+% .. _sphx_glr_backref_geoutils.SatelliteImage:
+%
+% .. minigallery:: geoutils.SatelliteImage
+%      :add-heading:
diff --git a/doc/source/api.rst b/doc/source/api.rst
deleted file mode 100644
index 230189832..000000000
--- a/doc/source/api.rst
+++ /dev/null
@@ -1,61 +0,0 @@
-.. _api:
-
-API Reference
-=============
-
-Full information about geoutils' functionality is provided on this page.
-
-.. currentmodule:: geoutils
-
-.. autosummary::
-        :toctree: gen_modules/
-        :template: module.rst
-        :recursive:
-
-        georaster
-        georaster.raster
-        geovector
-        projtools
-        satimg
-        geoviewer
-
-.. automodule geoutils
-
-   .. contents:: Contents
-      :local:
-
-   Raster
-   ------
-   .. autoclass:: Raster
-        :show-inheritance:
-        :special-members: __init__
-        :members:
-
-   .. _sphx_glr_backref_geoutils.Raster:
-
-   .. minigallery:: geoutils.Raster
-        :add-heading:
-
-   Vector
-   ------
-   .. autoclass:: Vector
-        :show-inheritance:
-        :special-members: __init__
-        :members:
-
-   .. _sphx_glr_backref_geoutils.Vector:
-
-   .. minigallery:: geoutils.Vector
-        :add-heading:
-
-   SatelliteImage
-   --------------
-   .. autoclass:: SatelliteImage
-        :show-inheritance:
-        :special-members: __init__
-        :members:
-
-   .. _sphx_glr_backref_geoutils.SatelliteImage:
-
-   .. minigallery:: geoutils.SatelliteImage
-        :add-heading:
diff --git a/doc/source/conf.py b/doc/source/conf.py
index db4f6047c..0874ead1c 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -35,6 +35,7 @@
     "sphinxcontrib.programoutput",
     "sphinx_gallery.gen_gallery",  # Examples gallery
     "sphinx.ext.intersphinx",
+    "myst_parser",  # Form of Markdown that works with sphinx, used a lot by the Sphinx Book Theme
 ]
 
 intersphinx_mapping = {
@@ -87,7 +88,16 @@
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
 #
-html_theme = "sphinx_rtd_theme"
+html_theme = "sphinx_book_theme"
+
+html_theme_options = {
+    "use_sidenotes": True,
+    "repository_url": "https://github.com/GlacioHack/xdem",
+    "use_repository_button": True,
+}
+
+# html_logo = "path/to/myimage.png"
+html_title = "GeoUtils"
 
 
 # Add any paths that contain custom static files (such as style sheets) here,
diff --git a/doc/source/index.md b/doc/source/index.md
new file mode 100644
index 000000000..283de6c33
--- /dev/null
+++ b/doc/source/index.md
@@ -0,0 +1,47 @@
+% GeoUtils documentation master file, created by
+% sphinx-quickstart on Fri Nov 13 17:43:16 2020.
+% You can adapt this file completely to your liking, but it should at least
+% contain the root 'toctree' directive.
+
+# Welcome to GeoUtils' documentation!
+
+GeoUtils aims to make handling of georeferenced data, either in raster or vector format, easier and available to anyone.
+
+:::{important}
+GeoUtils is in early stages of development and its features might evolve rapidly. Note the version you are
+working on for reproducibility!
+We are working on making features fully consistent for the first long-term release `v0.1` (likely sometime in 2023).
+:::
+
+```{toctree}
+:caption: Getting started
+:maxdepth: 2
+
+about_xdem
+how_to_install
+quick_start
+```
+
+```{literalinclude} code/index_example.py
+```
+
+```{eval-rst}
+.. program-output:: $PYTHON code/index_example.py
+        :shell:
+```
+
+```{toctree}
+:maxdepth: 1
+
+raster-basics
+satimg-basics
+vector-basics
+auto_examples/index.rst
+api
+```
+
+# Indices and tables
+
+- {ref}`genindex`
+- {ref}`modindex`
+- {ref}`search`
diff --git a/doc/source/index.rst b/doc/source/index.rst
deleted file mode 100644
index 41f255c30..000000000
--- a/doc/source/index.rst
+++ /dev/null
@@ -1,38 +0,0 @@
-.. GeoUtils documentation master file, created by
-   sphinx-quickstart on Fri Nov 13 17:43:16 2020.
-   You can adapt this file completely to your liking, but it should at least
-   contain the root 'toctree' directive.
-
-Welcome to GeoUtils's documentation!
-====================================
-GeoUtils aims to make handling of georeferenced data, either in raster or vector format, easier and available to anyone.
-
-Our functionalities are mostly based on `rasterio <https://rasterio.readthedocs.io>`_ and `GeoPandas <https://geopandas.org/>`_, but here are some of the additional benefits provided by GeoUtils:
-
-* for raster objects, georeferences and data are stored into a single object of the class ``Raster``, making it easier to modify the data in-place: reprojection, cropping, additions/subtractions are all (or will be...) on-line operations!
-* the interactions between raster and vectors, such as rasterizing, clipping or cropping are made easier thanks to the class ``Vector``.
-
-
-.. literalinclude:: code/index_example.py
-
-.. program-output:: $PYTHON code/index_example.py
-        :shell:
-
-.. toctree::
-    :maxdepth: 1
-
-    raster-basics
-    satimg-basics
-    vector-basics
-    auto_examples/index.rst
-    api
-
-
-
-
-Indices and tables
-==================
-
-* :ref:`genindex`
-* :ref:`modindex`
-* :ref:`search`
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
new file mode 100644
index 000000000..bd37ed577
--- /dev/null
+++ b/doc/source/quick_start.md
@@ -0,0 +1,9 @@
+(quick-start)=
+
+# Quick start
+
+Our functionalities are mostly based on [rasterio](https://rasterio.readthedocs.io) and [GeoPandas](https://geopandas.org/), but here are some of the
+additional benefits provided by GeoUtils:
+
+- for raster objects, georeferences and data are stored into a single object of the class `Raster`, making it easier to modify the data in-place: reprojection, cropping, additions/subtractions are all (or will be...) on-line operations!
+- the interactions between raster and vectors, such as rasterizing, clipping or cropping are made easier thanks to the class `Vector`.
diff --git a/doc/source/raster-basics.md b/doc/source/raster-basics.md
new file mode 100644
index 000000000..0af7d1066
--- /dev/null
+++ b/doc/source/raster-basics.md
@@ -0,0 +1,128 @@
+(raster-basics)=
+
+# Raster basics
+
+## Opening a raster file
+
+```{literalinclude} code/raster-basics_open_file.py
+:lines: 2-8
+```
+
+## Basic information about a Raster
+
+To print information directly to your console:
+
+```python
+print(image)
+```
+
+```{eval-rst}
+.. program-output:: $PYTHON -c "exec(open('code/raster-basics_open_file.py').read()); print(image)"
+        :shell:
+```
+
+If you'd like to retrieve a string of information about the raster to be saved
+to a variable, output to a text file etc:
+
+```{literalinclude} code/raster-basics_open_file.py
+:lines: 10
+```
+
+With added stats:
+
+```{literalinclude} code/raster-basics_open_file.py
+:lines: 12
+```
+
+Then to write a file:
+
+```{literalinclude} code/raster-basics_open_file.py
+:lines: 14-15
+```
+
+Or just print nicely to console:
+
+```python
+print(information)
+```
+
+```{eval-rst}
+.. program-output:: $PYTHON -c "exec(open('code/raster-basics_open_file.py').read()); print(information)"
+        :shell:
+```
+
+## Resampling a Raster to fit another
+
+Comparing multiple rasters can often be a burden if multiple coordinate systems, bounding boxes, and resolutions are involved.
+The {class}`geoutils.Raster` class simplifies this using two methods: `Raster.crop()` and `Raster.reproject()`.
+
+### Cropping a Raster
+
+{func}`geoutils.Raster.crop`
+
+If a large raster should be cropped to a smaller extent without changing the uncropped data, this is possible through the crop function.
+
+```{literalinclude} code/raster-basics_cropping_and_reprojecting.py
+:lines: 4-6
+```
+
+```python
+print(large_image.shape)
+
+print(smaller_image.shape)
+```
+
+prints:
+
+```{eval-rst}
+.. program-output:: $PYTHON -c "exec(open('code/raster-basics_cropping_and_reprojecting.py').read());print(large_image_orig.shape);print(smaller_image.shape)"
+        :shell:
+```
+
+If we want to crop the larger image to fit the smaller one:
+
+```{literalinclude} code/raster-basics_cropping_and_reprojecting.py
+:lines: 9
+```
+
+Now, they have the same shape, and can be compared directly:
+
+```python
+print(large_image.shape)
+
+print(smaller_image.shape)
+```
+
+prints:
+
+```{eval-rst}
+.. program-output:: $PYTHON -c "exec(open('code/raster-basics_cropping_and_reprojecting.py').read());print(large_image.shape);print(smaller_image.shape)"
+        :shell:
+```
+
+### Reprojecting a Raster
+
+{func}`geoutils.Raster.reproject`
+
+For rasters with different coordinate systems, resolutions or grids, reprojection is needed to fit one raster to another.
+`Raster.reproject()` is apt for these use-cases:
+
+```{literalinclude} code/raster-basics_cropping_and_reprojecting.py
+:lines: 11
+```
+
+This call will crop, project and resample the `larger_raster` to fit the `smaller_raster` exactly.
+By default, `Raster.resample()` uses nearest neighbour resampling, which is good for fast reprojections, but may induce unintended artefacts when precision is important.
+It is therefore recommended to choose the method that fits the purpose best, using the `resampling=` keyword argument:
+
+1. `resampling="nearest"`: Default. Performant but is not good for changes in resolution and grid.
+2. `resampling="bilinear"`: Good when changes in resolution and grid are involved.
+3. `resampling="cubic_spline"`: Often considered the best approach. Not as performant as simpler methods.
+
+All valid resampling methods can be seen in the [Rasterio documentation](https://rasterio.readthedocs.io/en/latest/api/rasterio.enums.html#rasterio.enums.Resampling).
+
+```{eval-rst}
+.. minigallery:: geoutils.Raster
+        :add-heading:
+        :heading-level: -
+```
diff --git a/doc/source/raster-basics.rst b/doc/source/raster-basics.rst
deleted file mode 100644
index 46fa3a552..000000000
--- a/doc/source/raster-basics.rst
+++ /dev/null
@@ -1,119 +0,0 @@
-.. _raster-basics:
-
-Raster basics
-=============
-
-
-Opening a raster file
----------------------
-
-.. literalinclude:: code/raster-basics_open_file.py
-        :lines: 2-8
-
-Basic information about a Raster
---------------------------------
-
-To print information directly to your console:
-
-.. code:: python
-
-        print(image)
-
-.. program-output:: $PYTHON -c "exec(open('code/raster-basics_open_file.py').read()); print(image)"
-        :shell:
-
-If you'd like to retrieve a string of information about the raster to be saved
-to a variable, output to a text file etc:
-
-
-.. literalinclude:: code/raster-basics_open_file.py
-        :lines: 10
-
-With added stats:
-
-.. literalinclude:: code/raster-basics_open_file.py
-        :lines: 12
-
-Then to write a file:
-
-.. literalinclude:: code/raster-basics_open_file.py
-        :lines: 14-15
-
-Or just print nicely to console:
-
-.. code:: python
-
-        print(information)
-
-.. program-output:: $PYTHON -c "exec(open('code/raster-basics_open_file.py').read()); print(information)"
-        :shell:
-
-Resampling a Raster to fit another
-----------------------------------
-
-Comparing multiple rasters can often be a burden if multiple coordinate systems, bounding boxes, and resolutions are involved.
-The :class:`geoutils.Raster` class simplifies this using two methods: ``Raster.crop()`` and ``Raster.reproject()``.
-
-Cropping a Raster
-*****************
-:func:`geoutils.Raster.crop`
-
-If a large raster should be cropped to a smaller extent without changing the uncropped data, this is possible through the crop function.
-
-.. literalinclude:: code/raster-basics_cropping_and_reprojecting.py
-        :lines: 4-6
-
-.. code:: python
-
-        print(large_image.shape)
-
-        print(smaller_image.shape)
-
-prints:
-
-.. program-output:: $PYTHON -c "exec(open('code/raster-basics_cropping_and_reprojecting.py').read());print(large_image_orig.shape);print(smaller_image.shape)"
-        :shell:
-
-If we want to crop the larger image to fit the smaller one:
-
-.. literalinclude:: code/raster-basics_cropping_and_reprojecting.py
-        :lines: 9
-
-Now, they have the same shape, and can be compared directly:
-
-.. code:: python
-
-        print(large_image.shape)
-
-        print(smaller_image.shape)
-
-prints:
-
-.. program-output:: $PYTHON -c "exec(open('code/raster-basics_cropping_and_reprojecting.py').read());print(large_image.shape);print(smaller_image.shape)"
-        :shell:
-
-Reprojecting a Raster
-*********************
-:func:`geoutils.Raster.reproject`
-
-For rasters with different coordinate systems, resolutions or grids, reprojection is needed to fit one raster to another.
-``Raster.reproject()`` is apt for these use-cases:
-
-.. literalinclude:: code/raster-basics_cropping_and_reprojecting.py
-        :lines: 11
-
-This call will crop, project and resample the ``larger_raster`` to fit the ``smaller_raster`` exactly.
-By default, ``Raster.resample()`` uses nearest neighbour resampling, which is good for fast reprojections, but may induce unintended artefacts when precision is important.
-It is therefore recommended to choose the method that fits the purpose best, using the ``resampling=`` keyword argument:
-
-1) ``resampling="nearest"``: Default. Performant but is not good for changes in resolution and grid.
-
-2) ``resampling="bilinear"``: Good when changes in resolution and grid are involved.
-
-3) ``resampling="cubic_spline"``: Often considered the best approach. Not as performant as simpler methods.
-
-All valid resampling methods can be seen in the `Rasterio documentation <https://rasterio.readthedocs.io/en/latest/api/rasterio.enums.html#rasterio.enums.Resampling>`_.
-
-.. minigallery:: geoutils.Raster
-        :add-heading:
-        :heading-level: -
diff --git a/doc/source/satimg-basics.rst b/doc/source/satimg-basics.md
similarity index 67%
rename from doc/source/satimg-basics.rst
rename to doc/source/satimg-basics.md
index 9fa086654..b02a95213 100644
--- a/doc/source/satimg-basics.rst
+++ b/doc/source/satimg-basics.md
@@ -1,30 +1,31 @@
-.. _satimg-basics:
+(satimg-basics)=
 
-SatImg basics
-=============
+# SatImg basics
 
-Opening a raster file through SatImg
-------------------------------------
+## Opening a raster file through SatImg
 
 Example with a Landsat image:
 
-.. literalinclude:: code/satimg-basics_open_file.py
-        :lines: 2-
+```{literalinclude} code/satimg-basics_open_file.py
+:lines: 2-
+```
 
-
-What the SatImg class does for you
-----------------------------------
+## What the SatImg class does for you
 
 When reading your file, SatImg will try to load metadata information from the filename.
 For the above filename, this will be printed in the console:
 
+```{eval-rst}
 .. program-output:: $PYTHON -c "exec(open('code/satimg-basics_open_file.py').read())"
         :shell:
+```
 
 Currently supporting the nomenclatures used for: Landsat, Sentinel-2, ArcticDEM, REMA, ASTER L1A, ASTER GDEM, NASADEM, TanDEM-X, SRTM and SPOT-5
 
 More to come...
 
+```{eval-rst}
 .. minigallery:: geoutils.SatelliteImage
         :add-heading:
         :heading-level: -
+```
diff --git a/doc/source/vector-basics.md b/doc/source/vector-basics.md
new file mode 100644
index 000000000..b73d25b8a
--- /dev/null
+++ b/doc/source/vector-basics.md
@@ -0,0 +1,49 @@
+(vector-basics)=
+
+# Vector basics
+
+The Vector class builds upon the great functionalities of [GeoPandas](https://geopandas.org/), with the aim to bridge the gap between vector and raster files.
+It uses `geopandas.GeoDataFrame` as a base driver, accessible through `Vector.ds`.
+
+## Opening a Vector file
+
+```{literalinclude} code/vector-basics_open_file.py
+:lines: 2-6
+```
+
+Printing the Vector shows the underlying `GeoDataFrame` and some extra statistics:
+
+```python
+print(outlines)
+```
+
+```{eval-rst}
+.. program-output:: $PYTHON -c "exec(open('code/vector-basics_open_file.py').read()); print(outlines)"
+        :shell:
+
+```
+
+Masks can easily be generated for use with Rasters:
+
+```{literalinclude} code/vector-basics_open_file.py
+:lines: 8-13
+```
+
+We can prove that glaciers are bright (who could have known!?) by masking the values outside and inside of the glaciers:
+
+```python
+print(f"Inside: {image.data[mask].mean():.1f}, outside: {image.data[~mask].mean():.1f}")
+```
+
+```{eval-rst}
+.. program-output:: $PYTHON -c "exec(open('code/vector-basics_open_file.py').read()); print(f'Inside: {image.data[mask].mean():.1f}, outside: {image.data[~mask].mean():.1f}')"
+        :shell:
+```
+
+TODO: Add rasterize text.
+
+```{eval-rst}
+.. minigallery:: geoutils.Raster
+        :add-heading:
+        :heading-level: -
+```
diff --git a/doc/source/vector-basics.rst b/doc/source/vector-basics.rst
deleted file mode 100644
index 13fb95c4e..000000000
--- a/doc/source/vector-basics.rst
+++ /dev/null
@@ -1,45 +0,0 @@
-.. _vector-basics:
-
-Vector basics
-=============
-
-The Vector class builds upon the great functionalities of `GeoPandas <https://geopandas.org/>`_, with the aim to bridge the gap between vector and raster files.
-It uses ``geopandas.GeoDataFrame`` as a base driver, accessible through ``Vector.ds``.
-
-
-Opening a Vector file
----------------------
-
-.. literalinclude:: code/vector-basics_open_file.py
-        :lines: 2-6
-
-
-Printing the Vector shows the underlying ``GeoDataFrame`` and some extra statistics:
-
-.. code:: python
-
-        print(outlines)
-
-.. program-output:: $PYTHON -c "exec(open('code/vector-basics_open_file.py').read()); print(outlines)"
-        :shell:
-
-
-Masks can easily be generated for use with Rasters:
-
-.. literalinclude:: code/vector-basics_open_file.py
-        :lines: 8-13
-
-We can prove that glaciers are bright (who could have known!?) by masking the values outside and inside of the glaciers:
-
-.. code:: python
-
-        print(f"Inside: {image.data[mask].mean():.1f}, outside: {image.data[~mask].mean():.1f}")
-
-.. program-output:: $PYTHON -c "exec(open('code/vector-basics_open_file.py').read()); print(f'Inside: {image.data[mask].mean():.1f}, outside: {image.data[~mask].mean():.1f}')"
-        :shell:
-
-TODO: Add rasterize text.
-
-.. minigallery:: geoutils.Raster
-        :add-heading:
-        :heading-level: -

From f01304dba9ee8a427b27ba27597830fcdecc8c7f Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 10 Feb 2023 17:21:35 -0800
Subject: [PATCH 009/184] Restructure

---
 doc/source/about_geoutils.md                  |  9 ++--
 doc/source/how_to_install.md                  | 43 ++++++++++++++++
 doc/source/index.md                           | 50 +++++++++++++------
 doc/source/quick_start.md                     | 10 ++++
 .../{raster-basics.md => raster_class.md}     | 44 +++++++++++++++-
 doc/source/satimg-basics.md                   | 31 ------------
 .../{vector-basics.md => vector_class.md}     |  4 +-
 7 files changed, 135 insertions(+), 56 deletions(-)
 create mode 100644 doc/source/how_to_install.md
 rename doc/source/{raster-basics.md => raster_class.md} (76%)
 delete mode 100644 doc/source/satimg-basics.md
 rename doc/source/{vector-basics.md => vector_class.md} (97%)

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index ddd18ecaa..e96e96fef 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -22,14 +22,13 @@ We are working on making features fully consistent for the first long-term relea
 
 In details, those mean:
 
-- **Ease-of-use:** all basic operations or methods should only require a few lines of code to be performed;
+- **Ease-of-use:** all basic operations or methods only require a few lines of code to be performed;
 
-- **Robustness:** all DEM methods should be tested within our continuous integration test-suite, to enforce that they always perform as expected;
+- **Robustness:** all methods are tested within our continuous integration test-suite, to enforce that they always perform as expected;
 
-- **Reproducibility:** all code should be version-controlled and release-based, to ensure consistency of dependent
-  packages and works;
+- **Reproducibility:** all code is version-controlled and release-based, to ensure consistency of dependent packages and works;
 
-- **Open-source:** all code should be accessible and re-usable to anyone in the community, for transparency and open governance.
+- **Open-source:** all code is accessible and re-usable to anyone in the community, for transparency and open governance.
 
 ```{note}
 :class: margin
diff --git a/doc/source/how_to_install.md b/doc/source/how_to_install.md
new file mode 100644
index 000000000..4feb28aab
--- /dev/null
+++ b/doc/source/how_to_install.md
@@ -0,0 +1,43 @@
+(how-to-install)=
+
+# How to install
+
+## Installing with conda (recommended)
+
+```bash
+conda install -c conda-forge --strict-channel-priority geoutils
+```
+
+**Notes**
+
+- The `--strict-channel-priority` flag seems essential for Windows installs to function correctly, and is recommended for UNIX-based systems as well.
+
+- Solving dependencies can take a long time with `conda`. To speed up this, consider installing `mamba`:
+
+  ```bash
+  conda install mamba -n base -c conda-forge
+  ```
+
+  Once installed, the same commands can be run by simply replacing `conda` by `mamba`. More details available through the [mamba project](https://github.com/mamba-org/mamba).
+
+## Installing with pip
+
+```bash
+pip install geoutils
+```
+
+**NOTE**: Setting up GDAL and PROJ may need some extra steps, depending on your operating system and configuration.
+
+## Installing for contributors
+
+```shell
+git clone https://github.com/GlacioHack/xdem.git
+cd ./xdem
+mamba env create -f dev-environment.yml
+mamba activate xdem
+pip install -e .
+```
+
+After installing, we recommend to check that everything is working by running the tests:
+
+`pytest -rA`
diff --git a/doc/source/index.md b/doc/source/index.md
index 283de6c33..3da0b18b2 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -5,38 +5,56 @@
 
 # Welcome to GeoUtils' documentation!
 
-GeoUtils aims to make handling of georeferenced data, either in raster or vector format, easier and available to anyone.
+GeoUtils aims to make the handling and analysis of georeferenced raster and vector data intuitive, robust, and easy-of-use. GeoUtils is built upon `rasterio`, 
+`geopandas` and `pyproj`, and facilitates geospatial operations between rasters and vectors, and the analysis of rasters by interfacing with `numpy` arrays.
+
+
+```{important}
+:class: margin
+GeoUtils is in early stages of development and its features might evolve rapidly. Note the version you are working on for
+**reproducibility**!
+We are working on making features fully consistent for the first long-term release ``v0.1`` (likely sometime in 2023).
+```
 
-:::{important}
-GeoUtils is in early stages of development and its features might evolve rapidly. Note the version you are
-working on for reproducibility!
-We are working on making features fully consistent for the first long-term release `v0.1` (likely sometime in 2023).
-:::
 
 ```{toctree}
 :caption: Getting started
 :maxdepth: 2
 
-about_xdem
+about_geoutils
 how_to_install
 quick_start
 ```
 
-```{literalinclude} code/index_example.py
+```{toctree}
+:caption: Background
+:maxdepth: 2
+
+motivation
+rasterio_geopandas
 ```
 
-```{eval-rst}
-.. program-output:: $PYTHON code/index_example.py
-        :shell:
+
+```{toctree}
+:caption: Features
+:maxdepth: 2
+    
+raster_class
+vector_class
+proj_tools
 ```
 
 ```{toctree}
-:maxdepth: 1
+:caption: Gallery of examples
+:maxdepth: 2
+    
+auto_examples/index.rst 
+```
 
-raster-basics
-satimg-basics
-vector-basics
-auto_examples/index.rst
+```{toctree}
+:caption: API reference
+:maxdepth: 2 
+    
 api
 ```
 
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index bd37ed577..0e2cd8cb7 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -7,3 +7,13 @@ additional benefits provided by GeoUtils:
 
 - for raster objects, georeferences and data are stored into a single object of the class `Raster`, making it easier to modify the data in-place: reprojection, cropping, additions/subtractions are all (or will be...) on-line operations!
 - the interactions between raster and vectors, such as rasterizing, clipping or cropping are made easier thanks to the class `Vector`.
+
+# Code example
+
+```{literalinclude} code/index_example.py
+```
+
+```{eval-rst}
+.. program-output:: $PYTHON code/index_example.py
+        :shell:
+```
\ No newline at end of file
diff --git a/doc/source/raster-basics.md b/doc/source/raster_class.md
similarity index 76%
rename from doc/source/raster-basics.md
rename to doc/source/raster_class.md
index 0af7d1066..d32e21594 100644
--- a/doc/source/raster-basics.md
+++ b/doc/source/raster_class.md
@@ -1,6 +1,15 @@
-(raster-basics)=
+(raster-class)=
+
+# Raster object
+
+A {class}`geoutils.Raster` is a georeferenced raster object read, written or reprojected by `rasterio`.
+
+It contains:
+- an array `.data` as a `np.ma.MaskedArray`,
+- a geotransform `.transform` as a `affine.Affine`,
+- a coordinate reference system(CRS) `.crs` as a `pyproj.CRS`,
+- a nodata value `nodata` as `float` or `int`.
 
-# Raster basics
 
 ## Opening a raster file
 
@@ -126,3 +135,34 @@ All valid resampling methods can be seen in the [Rasterio documentation](https:/
         :add-heading:
         :heading-level: -
 ```
+
+
+# SatImg basics
+
+## Opening a raster file through SatImg
+
+Example with a Landsat image:
+
+```{literalinclude} code/satimg-basics_open_file.py
+:lines: 2-
+```
+
+## What the SatImg class does for you
+
+When reading your file, SatImg will try to load metadata information from the filename.
+For the above filename, this will be printed in the console:
+
+```{eval-rst}
+.. program-output:: $PYTHON -c "exec(open('code/satimg-basics_open_file.py').read())"
+        :shell:
+```
+
+Currently supporting the nomenclatures used for: Landsat, Sentinel-2, ArcticDEM, REMA, ASTER L1A, ASTER GDEM, NASADEM, TanDEM-X, SRTM and SPOT-5
+
+More to come...
+
+```{eval-rst}
+.. minigallery:: geoutils.SatelliteImage
+        :add-heading:
+        :heading-level: -
+```
\ No newline at end of file
diff --git a/doc/source/satimg-basics.md b/doc/source/satimg-basics.md
deleted file mode 100644
index b02a95213..000000000
--- a/doc/source/satimg-basics.md
+++ /dev/null
@@ -1,31 +0,0 @@
-(satimg-basics)=
-
-# SatImg basics
-
-## Opening a raster file through SatImg
-
-Example with a Landsat image:
-
-```{literalinclude} code/satimg-basics_open_file.py
-:lines: 2-
-```
-
-## What the SatImg class does for you
-
-When reading your file, SatImg will try to load metadata information from the filename.
-For the above filename, this will be printed in the console:
-
-```{eval-rst}
-.. program-output:: $PYTHON -c "exec(open('code/satimg-basics_open_file.py').read())"
-        :shell:
-```
-
-Currently supporting the nomenclatures used for: Landsat, Sentinel-2, ArcticDEM, REMA, ASTER L1A, ASTER GDEM, NASADEM, TanDEM-X, SRTM and SPOT-5
-
-More to come...
-
-```{eval-rst}
-.. minigallery:: geoutils.SatelliteImage
-        :add-heading:
-        :heading-level: -
-```
diff --git a/doc/source/vector-basics.md b/doc/source/vector_class.md
similarity index 97%
rename from doc/source/vector-basics.md
rename to doc/source/vector_class.md
index b73d25b8a..ee815632b 100644
--- a/doc/source/vector-basics.md
+++ b/doc/source/vector_class.md
@@ -1,6 +1,6 @@
-(vector-basics)=
+(vector-class)=
 
-# Vector basics
+# Vector object
 
 The Vector class builds upon the great functionalities of [GeoPandas](https://geopandas.org/), with the aim to bridge the gap between vector and raster files.
 It uses `geopandas.GeoDataFrame` as a base driver, accessible through `Vector.ds`.

From 5aad281670f974de07533138a7bb0f6f287af8b0 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sat, 11 Feb 2023 19:49:20 -0800
Subject: [PATCH 010/184] Skeleton

---
 doc/source/core_concepts.md      | 19 +++++++++++++
 doc/source/from_gdal.md          |  3 ++
 doc/source/index.md              | 14 +++------
 doc/source/mask_class.md         | 14 +++++++++
 doc/source/motivation_package.md |  3 ++
 doc/source/proj_tools.md         | 13 +++++++++
 doc/source/raster_class.md       | 49 +++++++++-----------------------
 doc/source/satimg_class.md       | 35 +++++++++++++++++++++++
 doc/source/vector_class.md       | 29 +++++++++++++++++--
 9 files changed, 132 insertions(+), 47 deletions(-)
 create mode 100644 doc/source/core_concepts.md
 create mode 100644 doc/source/from_gdal.md
 create mode 100644 doc/source/mask_class.md
 create mode 100644 doc/source/motivation_package.md
 create mode 100644 doc/source/proj_tools.md
 create mode 100644 doc/source/satimg_class.md

diff --git a/doc/source/core_concepts.md b/doc/source/core_concepts.md
new file mode 100644
index 000000000..7d7c2c5e3
--- /dev/null
+++ b/doc/source/core_concepts.md
@@ -0,0 +1,19 @@
+(core-concepts)=
+# Core concepts
+
+## Composition from `rasterio` and `geopandas`
+
+
+## Intuitive match-reference operations
+
+
+## Support of pythonic operators
+
+
+## Masked-array `numpy` interface
+
+
+## Implicit lazy loading
+
+
+## Inheritance to `SatelliteImage`, `DEM` and others
diff --git a/doc/source/from_gdal.md b/doc/source/from_gdal.md
new file mode 100644
index 000000000..dfd007b88
--- /dev/null
+++ b/doc/source/from_gdal.md
@@ -0,0 +1,3 @@
+(from-gdal)=
+
+# Moving from GDAL or other Python packages
\ No newline at end of file
diff --git a/doc/source/index.md b/doc/source/index.md
index 3da0b18b2..529728c2b 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -26,26 +26,20 @@ how_to_install
 quick_start
 ```
 
-```{toctree}
-:caption: Background
-:maxdepth: 2
-
-motivation
-rasterio_geopandas
-```
-
-
 ```{toctree}
 :caption: Features
 :maxdepth: 2
     
+core_concepts
 raster_class
+mask_class
+satimg_class
 vector_class
 proj_tools
 ```
 
 ```{toctree}
-:caption: Gallery of examples
+:caption: Examples
 :maxdepth: 2
     
 auto_examples/index.rst 
diff --git a/doc/source/mask_class.md b/doc/source/mask_class.md
new file mode 100644
index 000000000..51bf82251
--- /dev/null
+++ b/doc/source/mask_class.md
@@ -0,0 +1,14 @@
+(mask-class)=
+
+# The `Mask` object
+
+
+## Object definition
+
+## Arithmetic
+
+## Cast from `Raster`
+
+## Create from `Vector`
+
+## Indexing
\ No newline at end of file
diff --git a/doc/source/motivation_package.md b/doc/source/motivation_package.md
new file mode 100644
index 000000000..789383847
--- /dev/null
+++ b/doc/source/motivation_package.md
@@ -0,0 +1,3 @@
+(motivation-package)=
+
+# Motivation for a geospatial analysis package
diff --git a/doc/source/proj_tools.md b/doc/source/proj_tools.md
new file mode 100644
index 000000000..f8e0a5be7
--- /dev/null
+++ b/doc/source/proj_tools.md
@@ -0,0 +1,13 @@
+(proj-tools)=
+
+# Projection tools
+
+Convenient `pyproj` wrappers.
+
+## Find a local metric projection
+
+## Merge or align multiple bounds
+
+## Create a tiling
+
+## Shape-preserving vector reprojection
\ No newline at end of file
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index d32e21594..28e0d73e1 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -1,6 +1,8 @@
 (raster-class)=
 
-# Raster object
+# The `Raster` object
+
+## Object definition
 
 A {class}`geoutils.Raster` is a georeferenced raster object read, written or reprojected by `rasterio`.
 
@@ -11,14 +13,12 @@ It contains:
 - a nodata value `nodata` as `float` or `int`.
 
 
-## Opening a raster file
+## Open and save
 
 ```{literalinclude} code/raster-basics_open_file.py
 :lines: 2-8
 ```
 
-## Basic information about a Raster
-
 To print information directly to your console:
 
 ```python
@@ -60,13 +60,15 @@ print(information)
         :shell:
 ```
 
-## Resampling a Raster to fit another
+## Arithmetic
+
+## Array interface
+
+## Crop
 
 Comparing multiple rasters can often be a burden if multiple coordinate systems, bounding boxes, and resolutions are involved.
 The {class}`geoutils.Raster` class simplifies this using two methods: `Raster.crop()` and `Raster.reproject()`.
 
-### Cropping a Raster
-
 {func}`geoutils.Raster.crop`
 
 If a large raster should be cropped to a smaller extent without changing the uncropped data, this is possible through the crop function.
@@ -109,7 +111,7 @@ prints:
         :shell:
 ```
 
-### Reprojecting a Raster
+## Reproject
 
 {func}`geoutils.Raster.reproject`
 
@@ -136,33 +138,10 @@ All valid resampling methods can be seen in the [Rasterio documentation](https:/
         :heading-level: -
 ```
 
+## Polygonize
 
-# SatImg basics
-
-## Opening a raster file through SatImg
-
-Example with a Landsat image:
-
-```{literalinclude} code/satimg-basics_open_file.py
-:lines: 2-
-```
-
-## What the SatImg class does for you
+## Proximity
 
-When reading your file, SatImg will try to load metadata information from the filename.
-For the above filename, this will be printed in the console:
+## Interpolate or extract to point
 
-```{eval-rst}
-.. program-output:: $PYTHON -c "exec(open('code/satimg-basics_open_file.py').read())"
-        :shell:
-```
-
-Currently supporting the nomenclatures used for: Landsat, Sentinel-2, ArcticDEM, REMA, ASTER L1A, ASTER GDEM, NASADEM, TanDEM-X, SRTM and SPOT-5
-
-More to come...
-
-```{eval-rst}
-.. minigallery:: geoutils.SatelliteImage
-        :add-heading:
-        :heading-level: -
-```
\ No newline at end of file
+## Export
\ No newline at end of file
diff --git a/doc/source/satimg_class.md b/doc/source/satimg_class.md
new file mode 100644
index 000000000..100858076
--- /dev/null
+++ b/doc/source/satimg_class.md
@@ -0,0 +1,35 @@
+(satimg-class)=
+
+# The `SatelliteImage` object
+
+## Object definition
+
+## Datetime parsing
+
+Example with a Landsat image:
+
+```{literalinclude} code/satimg-basics_open_file.py
+:lines: 2-
+```
+
+When reading your file, SatImg will try to load metadata information from the filename.
+For the above filename, this will be printed in the console:
+
+```{eval-rst}
+.. program-output:: $PYTHON -c "exec(open('code/satimg-basics_open_file.py').read())"
+        :shell:
+```
+
+Currently supporting the nomenclatures used for: Landsat, Sentinel-2, ArcticDEM, REMA, ASTER L1A, ASTER GDEM, NASADEM, TanDEM-X, SRTM and SPOT-5
+
+More to come...
+
+```{eval-rst}
+.. minigallery:: geoutils.SatelliteImage
+        :add-heading:
+        :heading-level: -
+```
+
+## Tile parsing
+
+## Instrument metadata parsing
diff --git a/doc/source/vector_class.md b/doc/source/vector_class.md
index ee815632b..ba1938552 100644
--- a/doc/source/vector_class.md
+++ b/doc/source/vector_class.md
@@ -1,11 +1,13 @@
 (vector-class)=
 
-# Vector object
+# The `Vector` object
+
+## Object definition
 
 The Vector class builds upon the great functionalities of [GeoPandas](https://geopandas.org/), with the aim to bridge the gap between vector and raster files.
 It uses `geopandas.GeoDataFrame` as a base driver, accessible through `Vector.ds`.
 
-## Opening a Vector file
+## Open and save
 
 ```{literalinclude} code/vector-basics_open_file.py
 :lines: 2-6
@@ -47,3 +49,26 @@ TODO: Add rasterize text.
         :add-heading:
         :heading-level: -
 ```
+
+
+## Arithmetic
+
+
+## Reproject
+
+
+## Crop
+
+
+## Rasterize
+
+
+## Proximity
+
+
+## Create a `Mask`
+
+
+## Buffering
+
+

From fed7ff2898de5ac5cf16684e140d11869473971b Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sun, 12 Feb 2023 12:31:28 -0800
Subject: [PATCH 011/184] Incremental commit on doc

---
 doc/source/_static/css/custom.css |  0
 doc/source/about_geoutils.md      | 39 +++++++++---------------
 doc/source/api.md                 | 49 +++++++++++++++++--------------
 doc/source/background.md          | 25 ++++++++++++++++
 doc/source/conf.py                |  6 ++++
 doc/source/core_array_funcs.md    |  3 ++
 doc/source/core_composition.md    |  2 ++
 doc/source/core_concepts.md       | 19 ------------
 doc/source/core_index.md          | 13 ++++++++
 doc/source/core_inheritance.md    |  2 ++
 doc/source/core_lazy_load.md      |  3 ++
 doc/source/core_match_ref.md      |  2 ++
 doc/source/core_py_ops.md         |  3 ++
 doc/source/index.md               | 11 ++++---
 doc/source/mask_class.md          |  2 +-
 doc/source/motivation_package.md  |  3 --
 doc/source/raster_class.md        | 12 ++++----
 doc/source/rasters_index.md       | 11 +++++++
 doc/source/satimg_class.md        |  2 +-
 doc/source/vector_class.md        |  2 +-
 doc/source/vectors_index.md       |  9 ++++++
 21 files changed, 134 insertions(+), 84 deletions(-)
 create mode 100644 doc/source/_static/css/custom.css
 create mode 100644 doc/source/background.md
 create mode 100644 doc/source/core_array_funcs.md
 create mode 100644 doc/source/core_composition.md
 delete mode 100644 doc/source/core_concepts.md
 create mode 100644 doc/source/core_index.md
 create mode 100644 doc/source/core_inheritance.md
 create mode 100644 doc/source/core_lazy_load.md
 create mode 100644 doc/source/core_match_ref.md
 create mode 100644 doc/source/core_py_ops.md
 delete mode 100644 doc/source/motivation_package.md
 create mode 100644 doc/source/rasters_index.md
 create mode 100644 doc/source/vectors_index.md

diff --git a/doc/source/_static/css/custom.css b/doc/source/_static/css/custom.css
new file mode 100644
index 000000000..e69de29bb
diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index e96e96fef..505f7b38d 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -2,10 +2,22 @@
 
 # About GeoUtils
 
+## What is GeoUtils?
 
-GeoUtils is a [Python](https://www.python.org/) package for the analysis of georeferenced raster and vectors, with name standing for _geospatial utilities_.
-It is designed for all Earth and planetary observation science.
+GeoUtils is a [Python](https://www.python.org/) package for the manipulation and analysis of georeferenced data, developed with the objective of 
+making geospatial analysis intuitive, accessible and robust. It is designed for all Earth and planetary observation science.
 
+GeoUtils is built on top of the geospatial packages [Rasterio](https://rasterio.readthedocs.io/en/latest/), [GeoPandas](https://geopandas.org/en/stable/docs.
+html) and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) to provide:
+- A **common consistent interface** between georeferenced rasters and vectors for robustness of geospatial handling,
+- A geospatial framework following the **principal of least knowledge** for ease-of-use and accessibility,
+
+Additionally
+
+
+
+
+## Mission
 
 ```{epigraph}
 The core mission of GeoUtils is to be **easy-of-use**, **robust**, **reproducible** and **fully open**.
@@ -42,26 +54,3 @@ And, additionally:
 - **Scalability**: all methods should support both lazy processing and distributed parallelized processing, to work with high-resolution data on local machines as well as on HPCs;
 
 - **State-of-the-art**: all methods should be at the cutting edge of remote sensing science, to provide users with the most reliable and up-to-date tools.
-
-
-# The people behind GeoUtils
-
-```{margin}
-<sup>2</sup>More on our GlacioHack founder at [adehecq.github.io](https://adehecq.github.io/)!
-```
-
-GeoUtils was created during the [GlacioHack](https://github.com/GlacioHack) hackaton event, that was initiated by
-Amaury Dehecq<sup>2</sup> and took place online on November 8, 2020.
-
-```{margin}
-<sup>3</sup>Check-out [glaciology.ch](https://glaciology.ch) on our founding group of VAW glaciology!
-```
-
-The initial core development of GeoUtils was performed by members of the Glaciology group of the Laboratory of Hydraulics, Hydrology and
-Glaciology (VAW) at ETH Zürich<sup>3</sup>, with contributions by members of the University of Oslo, the University of Washington, and University
-Grenobles Alpes.
-
-We are not software developers but geoscientists, and we try our best to offer tools that can be useful to a larger group,
-documented, reliable and maintained. All development and maintenance is made on a voluntary basis and we welcome
-any new contributors. See some information on how to contribute in the dedicated page of our
-[GitHub repository](https://github.com/GlacioHack/geoutils/blob/main/CONTRIBUTING.md).
diff --git a/doc/source/api.md b/doc/source/api.md
index 1790a23b4..b5a796592 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -2,42 +2,32 @@
 
 # API Reference
 
-Full information about geoutils' functionality is provided on this page.
+Full information about the functionalities of GeoUtils are provided on this page.
 
 ```{eval-rst}
 .. currentmodule:: geoutils
 ```
 
+## Classes
+
 ```{eval-rst}
-.. autosummary::
-        :toctree: gen_modules/
-        :template: module.rst
-        :recursive:
+.. autoclass:: Raster
+   :show-inheritance:
+   :special-members: __init__
+   :members:
+.. _sphx_glr_backref_geoutils.Raster:
 
-        georaster
-        georaster.raster
-        geovector
-        projtools
-        satimg
-        geoviewer
+.. minigallery:: geoutils.Raster
+    :add-heading:
 ```
 
-% automodule geoutils
-%
+automodule geoutils
 % .. contents:: Contents
 %    :local:
 %
 % Raster
 % ------
-% .. autoclass:: Raster
-%      :show-inheritance:
-%      :special-members: __init__
-%      :members:
-%
-% .. _sphx_glr_backref_geoutils.Raster:
-%
-% .. minigallery:: geoutils.Raster
-%      :add-heading:
+
 %
 % Vector
 % ------
@@ -62,3 +52,18 @@ Full information about geoutils' functionality is provided on this page.
 %
 % .. minigallery:: geoutils.SatelliteImage
 %      :add-heading:
+
+
+```{eval-rst}
+.. autosummary::
+        :toctree: gen_modules/
+        :template: module.rst
+        :recursive:
+
+        georaster
+        georaster.raster
+        geovector
+        projtools
+        satimg
+        geoviewer
+```
\ No newline at end of file
diff --git a/doc/source/background.md b/doc/source/background.md
new file mode 100644
index 000000000..7389d7be9
--- /dev/null
+++ b/doc/source/background.md
@@ -0,0 +1,25 @@
+(background)=
+
+# Background
+
+## The people behind GeoUtils
+
+```{margin}
+<sup>2</sup>More on our GlacioHack founder at [adehecq.github.io](https://adehecq.github.io/)!
+```
+
+GeoUtils was created during the [GlacioHack](https://github.com/GlacioHack) hackaton event, that was initiated by
+Amaury Dehecq<sup>2</sup> and took place online on November 8, 2020.
+
+```{margin}
+<sup>3</sup>Check-out [glaciology.ch](https://glaciology.ch) on our founding group of VAW glaciology!
+```
+
+The initial core development of GeoUtils was performed by members of the Glaciology group of the Laboratory of Hydraulics, Hydrology and
+Glaciology (VAW) at ETH Zürich<sup>3</sup>, with contributions by members of the University of Oslo, the University of Washington, and University
+Grenobles Alpes.
+
+We are not software developers but geoscientists, and we try our best to offer tools that can be useful to a larger group,
+documented, reliable and maintained. All development and maintenance is made on a voluntary basis and we welcome
+any new contributors. See some information on how to contribute in the dedicated page of our
+[GitHub repository](https://github.com/GlacioHack/geoutils/blob/main/CONTRIBUTING.md).
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 0874ead1c..545347713 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -42,6 +42,7 @@
     "rasterio": ("https://rasterio.readthedocs.io/en/latest", None),
     "numpy": ("https://numpy.org/doc/stable", None),
     "matplotlib": ("https://matplotlib.org/stable", None),
+    "pyproj": ("https://pyproj4.github.io/pyproj/stable", None),
 }
 
 sphinx_gallery_conf = {
@@ -99,6 +100,11 @@
 # html_logo = "path/to/myimage.png"
 html_title = "GeoUtils"
 
+html_static_path = ['_static']
+
+html_css_files = [
+    'css/custom.css',
+]
 
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
diff --git a/doc/source/core_array_funcs.md b/doc/source/core_array_funcs.md
new file mode 100644
index 000000000..c89bd9a9c
--- /dev/null
+++ b/doc/source/core_array_funcs.md
@@ -0,0 +1,3 @@
+(core-array-funcs)=
+
+# Masked-array NumPy interface
diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
new file mode 100644
index 000000000..7f1a6f47a
--- /dev/null
+++ b/doc/source/core_composition.md
@@ -0,0 +1,2 @@
+(core-composition)=
+# Composition from Rasterio and GeoPandas
diff --git a/doc/source/core_concepts.md b/doc/source/core_concepts.md
deleted file mode 100644
index 7d7c2c5e3..000000000
--- a/doc/source/core_concepts.md
+++ /dev/null
@@ -1,19 +0,0 @@
-(core-concepts)=
-# Core concepts
-
-## Composition from `rasterio` and `geopandas`
-
-
-## Intuitive match-reference operations
-
-
-## Support of pythonic operators
-
-
-## Masked-array `numpy` interface
-
-
-## Implicit lazy loading
-
-
-## Inheritance to `SatelliteImage`, `DEM` and others
diff --git a/doc/source/core_index.md b/doc/source/core_index.md
new file mode 100644
index 000000000..7671cf598
--- /dev/null
+++ b/doc/source/core_index.md
@@ -0,0 +1,13 @@
+(core-concepts)=
+# Fundamentals
+
+```{toctree}
+:maxdepth: 2
+    
+core_composition
+core_match_ref
+core_py_ops
+core_array_funcs
+core_lazy_load
+core_inheritance
+```
\ No newline at end of file
diff --git a/doc/source/core_inheritance.md b/doc/source/core_inheritance.md
new file mode 100644
index 000000000..73e96d255
--- /dev/null
+++ b/doc/source/core_inheritance.md
@@ -0,0 +1,2 @@
+(core-inheritance)=
+# Inheritance for satellite images, DEMs
diff --git a/doc/source/core_lazy_load.md b/doc/source/core_lazy_load.md
new file mode 100644
index 000000000..e9e15c4d9
--- /dev/null
+++ b/doc/source/core_lazy_load.md
@@ -0,0 +1,3 @@
+(core-lazy-load)=
+
+# Implicit lazy loading
diff --git a/doc/source/core_match_ref.md b/doc/source/core_match_ref.md
new file mode 100644
index 000000000..fb2504839
--- /dev/null
+++ b/doc/source/core_match_ref.md
@@ -0,0 +1,2 @@
+(core-match-ref)=
+# Intuitive match-reference operations
diff --git a/doc/source/core_py_ops.md b/doc/source/core_py_ops.md
new file mode 100644
index 000000000..a25bb9f47
--- /dev/null
+++ b/doc/source/core_py_ops.md
@@ -0,0 +1,3 @@
+(core-py-ops)=
+
+# Support of pythonic operators
diff --git a/doc/source/index.md b/doc/source/index.md
index 529728c2b..69a9fd927 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -30,11 +30,9 @@ quick_start
 :caption: Features
 :maxdepth: 2
     
-core_concepts
-raster_class
-mask_class
-satimg_class
-vector_class
+core_index
+rasters_index
+vectors_index
 proj_tools
 ```
 
@@ -46,10 +44,11 @@ auto_examples/index.rst
 ```
 
 ```{toctree}
-:caption: API reference
+:caption: Reference
 :maxdepth: 2 
     
 api
+background
 ```
 
 # Indices and tables
diff --git a/doc/source/mask_class.md b/doc/source/mask_class.md
index 51bf82251..f25287113 100644
--- a/doc/source/mask_class.md
+++ b/doc/source/mask_class.md
@@ -1,6 +1,6 @@
 (mask-class)=
 
-# The `Mask` object
+# The georeferenced mask (`Mask`)
 
 
 ## Object definition
diff --git a/doc/source/motivation_package.md b/doc/source/motivation_package.md
deleted file mode 100644
index 789383847..000000000
--- a/doc/source/motivation_package.md
+++ /dev/null
@@ -1,3 +0,0 @@
-(motivation-package)=
-
-# Motivation for a geospatial analysis package
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index 28e0d73e1..dc8c178ec 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -1,16 +1,16 @@
 (raster-class)=
 
-# The `Raster` object
+# The georeferenced raster (`Raster`)
 
 ## Object definition
 
-A {class}`geoutils.Raster` is a georeferenced raster object read, written or reprojected by `rasterio`.
+A {class}`~geoutils.georaster.raster.Raster` is a georeferenced raster read, written or reprojected by `rasterio`.
 
 It contains:
-- an array `.data` as a `np.ma.MaskedArray`,
-- a geotransform `.transform` as a `affine.Affine`,
-- a coordinate reference system(CRS) `.crs` as a `pyproj.CRS`,
-- a nodata value `nodata` as `float` or `int`.
+- an array `.data` as a {class}`numpy.ma.MaskedArray`,
+- a geotransform `.transform` as a {class}`affine.Affine`,
+- a coordinate reference system (CRS) `.crs` as a {class}`pyproj.CRS`,
+- a nodata value `.nodata` as ``float`` or ``int``.
 
 
 ## Open and save
diff --git a/doc/source/rasters_index.md b/doc/source/rasters_index.md
new file mode 100644
index 000000000..916575227
--- /dev/null
+++ b/doc/source/rasters_index.md
@@ -0,0 +1,11 @@
+(rasters-index)=
+# Rasters
+
+
+```{toctree}
+:maxdepth: 2
+    
+raster_class
+mask_class
+satimg_class
+```
\ No newline at end of file
diff --git a/doc/source/satimg_class.md b/doc/source/satimg_class.md
index 100858076..6d6910e5e 100644
--- a/doc/source/satimg_class.md
+++ b/doc/source/satimg_class.md
@@ -1,6 +1,6 @@
 (satimg-class)=
 
-# The `SatelliteImage` object
+# The satellite image (`SatelliteImage`)
 
 ## Object definition
 
diff --git a/doc/source/vector_class.md b/doc/source/vector_class.md
index ba1938552..313cdcf10 100644
--- a/doc/source/vector_class.md
+++ b/doc/source/vector_class.md
@@ -1,6 +1,6 @@
 (vector-class)=
 
-# The `Vector` object
+# The georeferenced vector (`Vector`)
 
 ## Object definition
 
diff --git a/doc/source/vectors_index.md b/doc/source/vectors_index.md
new file mode 100644
index 000000000..955a100e0
--- /dev/null
+++ b/doc/source/vectors_index.md
@@ -0,0 +1,9 @@
+(vectors-index)=
+# Vectors
+
+
+```{toctree}
+:maxdepth: 2
+
+vector_class
+```
\ No newline at end of file

From 7903969575f156ca42b8ec7aaf261629930016c3 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sun, 12 Feb 2023 13:22:18 -0800
Subject: [PATCH 012/184] Incremental commit on doc

---
 doc/source/about_geoutils.md | 54 +++++++++++++-----------------------
 doc/source/background.md     | 33 ++++++++++++++++++++++
 doc/source/index.md          |  6 ++--
 3 files changed, 56 insertions(+), 37 deletions(-)

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index 505f7b38d..7754bf8d6 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -4,53 +4,39 @@
 
 ## What is GeoUtils?
 
-GeoUtils is a [Python](https://www.python.org/) package for the manipulation and analysis of georeferenced data, developed with the objective of 
+GeoUtils<sup>1</sup> is a [Python](https://www.python.org/) package for the manipulation and analysis of georeferenced data, developed with the objective of 
 making geospatial analysis intuitive, accessible and robust. It is designed for all Earth and planetary observation science.
 
-GeoUtils is built on top of the geospatial packages [Rasterio](https://rasterio.readthedocs.io/en/latest/), [GeoPandas](https://geopandas.org/en/stable/docs.
-html) and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) to provide:
-- A **common consistent interface** between georeferenced rasters and vectors for robustness of geospatial handling,
-- A geospatial framework following the **principal of least knowledge** for ease-of-use and accessibility,
-
-Additionally
-
-
-
-
-## Mission
-
-```{epigraph}
-The core mission of GeoUtils is to be **easy-of-use**, **robust**, **reproducible** and **fully open**.
-
-Additionally, GeoUtils aims to be **efficient**, **scalable** and **state-of-the-art**.
+```{margin}
+<sup>1</sup>With name standing for *Geospatial Utilities*.
 ```
 
 ```{important}
-:class: margin
 GeoUtils is in early stages of development and its features might evolve rapidly. Note the version you are working on for
 **reproducibility**!
 We are working on making features fully consistent for the first long-term release ``v0.1`` (likely sometime in 2023).
 ```
 
-In details, those mean:
+## Why use GeoUtils?
 
-- **Ease-of-use:** all basic operations or methods only require a few lines of code to be performed;
+GeoUtils is built on top of the packages [Rasterio](https://rasterio.readthedocs.io/en/latest/), [GeoPandas](https://geopandas.org/en/stable/docs.html) 
+and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) for georeferenced operations, and relies on [NumPy](https://numpy.org/doc/stable/), 
+[SciPy](https://docs.scipy.org/doc/scipy/) and [Xarray](https://docs.xarray.dev/en/stable/) for scientific computing to provide:
+- A **common and consistent framework** for rasters and vectors handling and analysis,
+- A structure following the **principal of least knowledge**<sup>2</sup> to foster accessibility,
+- A **pythonic arithmetic** and **NumPy masked-array interfacing** for intuitive use.
 
-- **Robustness:** all methods are tested within our continuous integration test-suite, to enforce that they always perform as expected;
-
-- **Reproducibility:** all code is version-controlled and release-based, to ensure consistency of dependent packages and works;
-
-- **Open-source:** all code is accessible and re-usable to anyone in the community, for transparency and open governance.
-
-```{note}
-:class: margin
-Additional mission points, in particular **scalability**, are partly developed but not a priority until our first long-term release ``v0.1`` is reached.
+```{margin}
+<sup>2</sup>Or the [Law of Demeter](https://en.wikipedia.org/wiki/Law_of_Demeter) for software development.
 ```
 
-And, additionally:
-
-- **Efficiency**: all methods should be optimized at the lower-level, to function with the highest performance offered by Python packages;
+In particular, GeoUtils:
+- Rarely requires more than **single-line operations** due to its object-based structure,
+- Allows for **match-reference geospatial operations** to facilitate geospatial handling,
+- Re-implements **several of [GDAL](https://gdal.org/)'s missing features** (Proximity, DEM, Calc, etc),
+- Naturally handles **different `dtypes` and `nodata`** values through its NumPy masked-array interface.
 
-- **Scalability**: all methods should support both lazy processing and distributed parallelized processing, to work with high-resolution data on local machines as well as on HPCs;
 
-- **State-of-the-art**: all methods should be at the cutting edge of remote sensing science, to provide users with the most reliable and up-to-date tools.
+```{note}
+More on these core features of GeoUtils in the {ref}`core-concepts`.
+```
\ No newline at end of file
diff --git a/doc/source/background.md b/doc/source/background.md
index 7389d7be9..602f93238 100644
--- a/doc/source/background.md
+++ b/doc/source/background.md
@@ -2,6 +2,39 @@
 
 # Background
 
+
+## Mission
+
+```{epigraph}
+The core mission of GeoUtils is to be **easy-of-use**, **robust**, **reproducible** and **fully open**.
+
+Additionally, GeoUtils aims to be **efficient**, **scalable** and **state-of-the-art**.
+```
+
+In details, those mean:
+
+- **Ease-of-use:** all basic operations or methods only require a few lines of code to be performed;
+
+- **Robustness:** all methods are tested within our continuous integration test-suite, to enforce that they always perform as expected;
+
+- **Reproducibility:** all code is version-controlled and release-based, to ensure consistency of dependent packages and works;
+
+- **Open-source:** all code is accessible and re-usable to anyone in the community, for transparency and open governance.
+
+```{note}
+:class: margin
+Additional mission points, in particular **scalability**, are partly developed but not a priority until our first long-term release ``v0.1`` is reached.
+```
+
+And, additionally:
+
+- **Efficiency**: all methods should be optimized at the lower-level, to function with the highest performance offered by Python packages;
+
+- **Scalability**: all methods should support both lazy processing and distributed parallelized processing, to work with high-resolution data on local machines as well as on HPCs;
+
+- **State-of-the-art**: all methods should be at the cutting edge of remote sensing science, to provide users with the most reliable and up-to-date tools.
+
+
 ## The people behind GeoUtils
 
 ```{margin}
diff --git a/doc/source/index.md b/doc/source/index.md
index 69a9fd927..ac65108ca 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -5,9 +5,9 @@
 
 # Welcome to GeoUtils' documentation!
 
-GeoUtils aims to make the handling and analysis of georeferenced raster and vector data intuitive, robust, and easy-of-use. GeoUtils is built upon `rasterio`, 
-`geopandas` and `pyproj`, and facilitates geospatial operations between rasters and vectors, and the analysis of rasters by interfacing with `numpy` arrays.
-
+```{epigraph}
+GeoUtils is a **intuitive**, **robust** and **accessible** package to handle and analyze geospatial data.
+```
 
 ```{important}
 :class: margin

From fcec6134ff820e32b8078947c1affa733acd2f78 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sun, 12 Feb 2023 13:56:40 -0800
Subject: [PATCH 013/184] Incremental commit on doc

---
 doc/source/how_to_install.md | 22 ++++++++++------------
 1 file changed, 10 insertions(+), 12 deletions(-)

diff --git a/doc/source/how_to_install.md b/doc/source/how_to_install.md
index 4feb28aab..1604040b8 100644
--- a/doc/source/how_to_install.md
+++ b/doc/source/how_to_install.md
@@ -2,23 +2,19 @@
 
 # How to install
 
-## Installing with conda (recommended)
+## Installing with mamba (recommended)
 
 ```bash
-conda install -c conda-forge --strict-channel-priority geoutils
+mamba install -c conda-forge geoutils
 ```
 
-**Notes**
+```{note}
+Solving dependencies can take a long time with `conda`, `mamba` significantly speeds up the process. Install it with:
 
-- The `--strict-channel-priority` flag seems essential for Windows installs to function correctly, and is recommended for UNIX-based systems as well.
+    conda install mamba -n base -c conda-forge
 
-- Solving dependencies can take a long time with `conda`. To speed up this, consider installing `mamba`:
-
-  ```bash
-  conda install mamba -n base -c conda-forge
-  ```
-
-  Once installed, the same commands can be run by simply replacing `conda` by `mamba`. More details available through the [mamba project](https://github.com/mamba-org/mamba).
+Once installed, the same commands can be run by simply replacing `conda` by `mamba`. More details available in the [mamba documentation](https://mamba.readthedocs.io/en/latest/).
+```
 
 ## Installing with pip
 
@@ -26,7 +22,9 @@ conda install -c conda-forge --strict-channel-priority geoutils
 pip install geoutils
 ```
 
-**NOTE**: Setting up GDAL and PROJ may need some extra steps, depending on your operating system and configuration.
+```{note}
+Setting up GDAL and PROJ may need some extra steps, depending on your operating system and configuration.
+```
 
 ## Installing for contributors
 

From 3d2175cfc34bc07f531a71f3a5c23d9b39cd0cdc Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sun, 12 Feb 2023 15:56:32 -0800
Subject: [PATCH 014/184] Incremental commit on doc

---
 doc/source/about_geoutils.md | 2 +-
 doc/source/how_to_install.md | 4 +---
 doc/source/satimg_class.md   | 2 +-
 3 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index 7754bf8d6..78cbff10f 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -24,7 +24,7 @@ and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) for georeferenc
 [SciPy](https://docs.scipy.org/doc/scipy/) and [Xarray](https://docs.xarray.dev/en/stable/) for scientific computing to provide:
 - A **common and consistent framework** for rasters and vectors handling and analysis,
 - A structure following the **principal of least knowledge**<sup>2</sup> to foster accessibility,
-- A **pythonic arithmetic** and **NumPy masked-array interfacing** for intuitive use.
+- A **pythonic arithmetic** and **NumPy masked-array interface** for intuitive use.
 
 ```{margin}
 <sup>2</sup>Or the [Law of Demeter](https://en.wikipedia.org/wiki/Law_of_Demeter) for software development.
diff --git a/doc/source/how_to_install.md b/doc/source/how_to_install.md
index 1604040b8..3094a016f 100644
--- a/doc/source/how_to_install.md
+++ b/doc/source/how_to_install.md
@@ -36,6 +36,4 @@ mamba activate xdem
 pip install -e .
 ```
 
-After installing, we recommend to check that everything is working by running the tests:
-
-`pytest -rA`
+After installing, check that everything is working by running the tests: `pytest -rA`.
diff --git a/doc/source/satimg_class.md b/doc/source/satimg_class.md
index 6d6910e5e..0f58d439a 100644
--- a/doc/source/satimg_class.md
+++ b/doc/source/satimg_class.md
@@ -1,6 +1,6 @@
 (satimg-class)=
 
-# The satellite image (`SatelliteImage`)
+# The geo-image (`SatelliteImage`)
 
 ## Object definition
 

From 4bdea6fbf2b90cf26542654019bef73e021eba1a Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sun, 12 Feb 2023 16:11:47 -0800
Subject: [PATCH 015/184] Incremental commit on doc

---
 doc/source/api.md            | 30 +++++++++++++-----------------
 doc/source/how_to_install.md |  4 ++--
 doc/source/raster_class.md   |  2 +-
 3 files changed, 16 insertions(+), 20 deletions(-)

diff --git a/doc/source/api.md b/doc/source/api.md
index b5a796592..b814228ce 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -1,8 +1,8 @@
 (api)=
 
-# API Reference
+# API
 
-Full information about the functionalities of GeoUtils are provided on this page.
+Full information about the functionalities of GeoUtils.
 
 ```{eval-rst}
 .. currentmodule:: geoutils
@@ -10,20 +10,6 @@ Full information about the functionalities of GeoUtils are provided on this page
 
 ## Classes
 
-```{eval-rst}
-.. autoclass:: Raster
-   :show-inheritance:
-   :special-members: __init__
-   :members:
-.. _sphx_glr_backref_geoutils.Raster:
-
-.. minigallery:: geoutils.Raster
-    :add-heading:
-```
-
-automodule geoutils
-% .. contents:: Contents
-%    :local:
 %
 % Raster
 % ------
@@ -60,10 +46,20 @@ automodule geoutils
         :template: module.rst
         :recursive:
 
-        georaster
         georaster.raster
         geovector
         projtools
         satimg
         geoviewer
+```
+
+```{eval-rst}
+.. autoclass:: Raster
+   :show-inheritance:
+   :special-members: __init__
+   :members:
+.. _sphx_glr_backref_geoutils.Raster:
+
+.. minigallery:: geoutils.Raster
+    :add-heading:
 ```
\ No newline at end of file
diff --git a/doc/source/how_to_install.md b/doc/source/how_to_install.md
index 3094a016f..fb1a4520e 100644
--- a/doc/source/how_to_install.md
+++ b/doc/source/how_to_install.md
@@ -2,7 +2,7 @@
 
 # How to install
 
-## Installing with mamba (recommended)
+## Installing with `mamba` (recommended)
 
 ```bash
 mamba install -c conda-forge geoutils
@@ -16,7 +16,7 @@ Solving dependencies can take a long time with `conda`, `mamba` significantly sp
 Once installed, the same commands can be run by simply replacing `conda` by `mamba`. More details available in the [mamba documentation](https://mamba.readthedocs.io/en/latest/).
 ```
 
-## Installing with pip
+## Installing with `pip`
 
 ```bash
 pip install geoutils
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index dc8c178ec..94a193f95 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -4,7 +4,7 @@
 
 ## Object definition
 
-A {class}`~geoutils.georaster.raster.Raster` is a georeferenced raster read, written or reprojected by `rasterio`.
+A {class}`geoutils.Raster` is a georeferenced raster read, written or reprojected by `rasterio`.
 
 It contains:
 - an array `.data` as a {class}`numpy.ma.MaskedArray`,

From 87ba89dd2777819e543ed5fe183977ac051982b8 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sun, 12 Feb 2023 19:02:10 -0800
Subject: [PATCH 016/184] Incremental commit on doc

---
 doc/source/api.md | 335 +++++++++++++++++++++++++++++++++++++++-------
 1 file changed, 288 insertions(+), 47 deletions(-)

diff --git a/doc/source/api.md b/doc/source/api.md
index b814228ce..b9e5c9a3d 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -1,65 +1,306 @@
 (api)=
+# API reference
 
-# API
-
-Full information about the functionalities of GeoUtils.
+This page provides an auto-generated summary of GeoUtils’s API. 
+For more details and examples, refer to the relevant chapters in the main part of the 
+documentation.
 
 ```{eval-rst}
 .. currentmodule:: geoutils
 ```
 
-## Classes
+**Overview of class inheritance in GeoUtils:**
+
+```{eval-rst}
+.. inheritance-diagram:: geoutils
+        :top-classes: geoutils.Raster geoutils.Vector
+```
+
+
+## Raster
+
+```{eval-rst}
+.. minigallery:: geoutils.Raster
+      :add-heading:
+```
+
+### Opening a file
 
-%
-% Raster
-% ------
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
 
-%
-% Vector
-% ------
-% .. autoclass:: Vector
-%      :show-inheritance:
-%      :special-members: __init__
-%      :members:
-%
-% .. _sphx_glr_backref_geoutils.Vector:
-%
-% .. minigallery:: geoutils.Vector
-%      :add-heading:
-%
-% SatelliteImage
-% --------------
-% .. autoclass:: SatelliteImage
-%      :show-inheritance:
-%      :special-members: __init__
-%      :members:
-%
-% .. _sphx_glr_backref_geoutils.SatelliteImage:
-%
-% .. minigallery:: geoutils.SatelliteImage
-%      :add-heading:
+    Raster
+    Raster.info
+```
 
+### Create from an array
 
 ```{eval-rst}
 .. autosummary::
-        :toctree: gen_modules/
-        :template: module.rst
-        :recursive:
+    :toctree: gen_modules/
 
-        georaster.raster
-        geovector
-        projtools
-        satimg
-        geoviewer
+    Raster.from_array
 ```
 
+### Unique attributes
+
 ```{eval-rst}
-.. autoclass:: Raster
-   :show-inheritance:
-   :special-members: __init__
-   :members:
-.. _sphx_glr_backref_geoutils.Raster:
+.. autosummary::
+    :toctree: gen_modules/
 
-.. minigallery:: geoutils.Raster
-    :add-heading:
-```
\ No newline at end of file
+    Raster.data
+    Raster.crs
+    Raster.transform
+    Raster.nodata
+```
+
+### Derived attributes
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Raster.shape
+    Raster.height
+    Raster.width
+    Raster.count
+    Raster.count_on_disk
+    Raster.indexes
+    Raster.indexes_on_disk
+    Raster.res
+    Raster.bounds
+    Raster.dtypes
+    Raster.is_loaded
+    Raster.is_modified
+    Raster.name
+    Raster.driver
+```
+
+### Geospatial handling methods
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Raster.crop
+    Raster.reproject
+    Raster.polygonize
+    Raster.proximity
+    Raster.value_at_coords
+    Raster.interp_points
+```
+
+### Get or update data methods
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Raster.copy
+    Raster.astype
+    Raster.set_mask
+    Raster.set_nodata
+    Raster.get_nanarray    
+```
+    
+### I/O methods
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Raster.load
+    Raster.save
+    Raster.to_points
+    Raster.to_rio_dataset
+    Raster.to_xarray
+```
+
+### Logical methods
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Raster.raster_equal
+    Raster.equal_georeferenced_grid
+```
+
+### Coordinate and extent methods
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Raster.xy2ij
+    Raster.ij2xy
+    Raster.coords
+    Raster.shift
+    Raster.get_bounds_projected
+    Raster.intersection
+    Raster.outside_image   
+```
+
+### Arithmetic with other rasters, arrays or numbers
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Raster.__add__
+    Raster.__sub__
+    Raster.__neg__
+    Raster.__mul__
+    Raster.__truediv__
+    Raster.__floordiv__
+    Raster.__mod__
+    Raster.__power__    
+```
+
+And reverse operations.
+
+### Logical operator casting to Mask
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Raster.__eq__
+    Raster.__neq__
+    Raster.__lt__
+    Raster.__le__
+    Raster.__gt__
+    Raster.__ge__
+    Raster.__mod__
+    Raster.__power__    
+```
+
+### Array interface with NumPy
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Raster.__array_ufunc__
+    Raster.__array_function__  
+```
+
+## SatelliteImage
+
+```{eval-rst}
+.. minigallery:: geoutils.SatelliteImage
+      :add-heading:
+```
+
+### Opening a file
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    SatelliteImage
+```
+
+### Satellite image metadata
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    SatelliteImage.datetime
+    SatelliteImage.tile_name
+    SatelliteImage.satellite
+    SatelliteImage.sensor
+    SatelliteImage.product
+    SatelliteImage.version
+```
+
+## Mask
+
+```{eval-rst}
+.. minigallery:: geoutils.Mask
+      :add-heading:
+```
+
+### Opening a file
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Mask
+```
+
+### Booleans
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Mask.datetime
+```
+
+## Vectors
+
+
+### Opening a file
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Vector
+    Vector.info
+```
+
+### Unique attributes
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Vector.ds
+    Vector.crs
+    Vector.bounds
+    Vector.name
+```
+
+### Geospatial handling methods
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Vector.crop
+    Vector.reproject
+    Vector.rasterize
+    Vector.proximity
+```
+
+### Create mask
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Vector.create_mask
+```
+
+### Geometry manipulation
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Vector.buffer_metric
+    Vector.buffer_without_overlap
+```
+
+### Coordinate and extent methods
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+    
+    Vector.get_bounds_projected 
\ No newline at end of file

From a77bd908a87bf4e7d8b4647db8f4190f7f7a18bf Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sun, 12 Feb 2023 20:15:54 -0800
Subject: [PATCH 017/184] Incremental commit on doc

---
 dev-environment.yml  |  1 +
 dev-requirements.txt |  2 +-
 doc/source/api.md    | 15 ++++++++++-----
 doc/source/conf.py   |  2 ++
 4 files changed, 14 insertions(+), 6 deletions(-)

diff --git a/dev-environment.yml b/dev-environment.yml
index 37b0f62bc..e746f3193 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -11,6 +11,7 @@ dependencies:
   - tqdm
 
   # Development-specific
+  - autovizwidget
   - sphinx
   - myst-parser
   - sphinx-autodoc-typehints
diff --git a/dev-requirements.txt b/dev-requirements.txt
index 52adaeb11..e60323281 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -18,4 +18,4 @@ typing-extensions
 sphinx-gallery
 scikit-image
 pyyaml
-
+autovizwidget
diff --git a/doc/source/api.md b/doc/source/api.md
index b9e5c9a3d..34ac5de9f 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -12,8 +12,8 @@ documentation.
 **Overview of class inheritance in GeoUtils:**
 
 ```{eval-rst}
-.. inheritance-diagram:: geoutils
-        :top-classes: geoutils.Raster geoutils.Vector
+.. inheritance-diagram:: geoutils.georaster.raster
+        :top-classes: geoutils.georaster.raster.Raster
 ```
 
 
@@ -232,18 +232,23 @@ And reverse operations.
     Mask
 ```
 
-### Booleans
+### Overloaded Raster methods
 
 ```{eval-rst}
 .. autosummary::
     :toctree: gen_modules/
 
-    Mask.datetime
+    Mask.crop
+    Mask.reproject
+    Mask.polygonize
 ```
 
 ## Vectors
 
-
+```{eval-rst}
+.. minigallery:: geoutils.Vector
+      :add-heading:
+```
 ### Opening a file
 
 ```{eval-rst}
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 545347713..e4443bde4 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -35,6 +35,8 @@
     "sphinxcontrib.programoutput",
     "sphinx_gallery.gen_gallery",  # Examples gallery
     "sphinx.ext.intersphinx",
+    "sphinx.ext.graphviz", # To render inheritance diagrams
+    "sphinx.ext.inheritance_diagram",  # For class inheritance diagrams
     "myst_parser",  # Form of Markdown that works with sphinx, used a lot by the Sphinx Book Theme
 ]
 

From e4c08db542040f120c5229798ec0fb2a111ffcfc Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sun, 12 Feb 2023 22:16:55 -0800
Subject: [PATCH 018/184] Incremental commit on doc

---
 doc/source/code/index_example.py | 35 ++++++++++++--
 doc/source/index.md              |  2 +-
 doc/source/quick_start.md        | 79 ++++++++++++++++++++++++++++++--
 3 files changed, 107 insertions(+), 9 deletions(-)

diff --git a/doc/source/code/index_example.py b/doc/source/code/index_example.py
index 9bf1a34b1..160bfd677 100644
--- a/doc/source/code/index_example.py
+++ b/doc/source/code/index_example.py
@@ -1,7 +1,36 @@
 import geoutils as gu
 
-filename = gu.examples.get_path("everest_landsat_b4")
+# Examples files
+filename_rast = gu.examples.get_path("everest_landsat_b4")
+filename_vect = gu.examples.get_path("everest_rgi_outlines")
 
-raster = gu.Raster(filename)
+# Open files
+rast = gu.Raster(filename_rast)
+vect = gu.Vector(filename_vect)
+
+# Crop raster to vector's extent
+rast.crop(vect)
+
+# Proximity to vector on raster's grid
+rast_proximity_to_vec = vect.proximity(rast)
+
+# Add 1 to the raster array
+rast += 1
+
+# Apply a sine to the raster array
+import numpy as np
+rast = np.sin(rast)
+
+# Get mask where proximity to vector fits specific raster values
+mask_aoi = rast >= rast_proximity_to_vec
+
+# Index raster with the mask to extract a 1-D array of values
+values_aoi = rast[mask_aoi]
+
+# Polygonize areas where mask is True
+vect_aoi = mask_aoi.polygonize()
+
+# Read file as a satellite image
+print(filename_rast)
+satimg = gu.SatelliteImage(filename_rast, silent=False)
 
-print(raster)
diff --git a/doc/source/index.md b/doc/source/index.md
index ac65108ca..174ddde29 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -6,7 +6,7 @@
 # Welcome to GeoUtils' documentation!
 
 ```{epigraph}
-GeoUtils is a **intuitive**, **robust** and **accessible** package to handle and analyze geospatial data.
+GeoUtils is an **intuitive**, **robust** and **accessible** package to handle and analyze geospatial data.
 ```
 
 ```{important}
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index 0e2cd8cb7..61d72c8d9 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -2,15 +2,84 @@
 
 # Quick start
 
-Our functionalities are mostly based on [rasterio](https://rasterio.readthedocs.io) and [GeoPandas](https://geopandas.org/), but here are some of the
-additional benefits provided by GeoUtils:
+## The core `Raster` and `Vector` classes
 
-- for raster objects, georeferences and data are stored into a single object of the class `Raster`, making it easier to modify the data in-place: reprojection, cropping, additions/subtractions are all (or will be...) on-line operations!
-- the interactions between raster and vectors, such as rasterizing, clipping or cropping are made easier thanks to the class `Vector`.
+In GeoUtils, geospatial handling is object-based and revolves around {class}`~geoutils.Raster` and {class}`~geoutils.Vector`.
+These link to either on-disk or in-memory datasets, opened by instantiating the class.
 
-# Code example
+```{literalinclude} code/index_example.py
+:lines: 1-9
+:language: python
+```
+
+## Class attributes and match-reference methods
+
+Attributes of {class}`~geoutils.Raster` and {class}`~geoutils.Vector` update with operations. These operations are generally based on class methods, for 
+example {func}`~geoutils.Raster.crop` or {func}`~geoutils.Vector.proximity`. Most of these functions can be passed solely another {class}`~geoutils.Raster` or 
+{class}`~geoutils.Vector` as a reference to match, or to utilize during the operation.
+
+```{literalinclude} code/index_example.py
+:lines: 11-15
+:language: python
+```
+
+```{note}
+Right now, the array `.data` of `rast` is still not loaded. Applying {func}`~geoutils.Raster.crop` does not yet require loading, 
+and the metadata is sufficient to provide a georeferenced grid for {func}`~geoutils.Vector.proximity`. The array data will only be loaded when necessary.
+```
+
+## Pythonic arithmetic and NumPy interface
+
+All {class}`~geoutils.Raster` support Python arithmetic (+, -, /, //, *, %) with any other {class}`~geoutils.Raster`, or {class}`~numpy.ndarray` or number
+(in case the georeferencing or shape is the same for all objects).
+
+```{literalinclude} code/index_example.py
+:lines: 17-18
+:language: python
+```
+
+Additionally, the class {class}`~geoutils.Raster` possesses a NumPy masked-array interface that allows to apply to it any [NumPy universal function](https://numpy.org/doc/stable/reference/ufuncs.html) and 
+most other NumPy array functions, while logically casting `dtypes` and respecting `.nodata` values.
+
+```{literalinclude} code/index_example.py
+:lines: 20-22
+:language: python
+```
+
+## Casting to `Mask`, indexing and overloading
+
+All {class}`~geoutils.Raster` also support Python logical operators (==, !=, >=, >, <=, <), or more complex NumPy logical functions. Those operations 
+automatically casts them into a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster`.
+
+
+```{literalinclude} code/index_example.py
+:lines: 24-25
+:language: python
+```
+
+Masks can then be used for indexing a {class}`~geoutils.Raster`.
+
+```{literalinclude} code/index_example.py
+:lines: 27-28
+:language: python
+```
+
+Masks also have simplified, overloaded {class}`~geoutils.Raster` methods due to their boolean `dtypes`. Polygonizing a `Mask` is straightforward, for instance,
+to retrieve a {class}`~geoutils.Vector` of the area-of-interest identified by the mask:
+
+```{literalinclude} code/index_example.py
+:lines: 30-31
+:language: python
+```
+
+## Loading image metadata using `SatelliteImage`
+
+The {class}`~geoutils.Raster` class is also subclassed by {class}`~geoutils.SatelliteImage`, which tentatively parses metadata recognized from the filename 
+or auxiliary files.
 
 ```{literalinclude} code/index_example.py
+:lines: 33-35
+:language: python
 ```
 
 ```{eval-rst}

From 84f159e9a63599df7f6abb0058e5c9b3aa2c250a Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 13 Feb 2023 17:32:25 -0800
Subject: [PATCH 019/184] Quick start finalized!

---
 dev-environment.yml                |   1 +
 dev-requirements.txt               |   1 +
 doc/source/about_geoutils.md       |   6 +-
 doc/source/api.md                  |  25 +++--
 doc/source/code/index_example.py   |  33 +++++--
 doc/source/code/index_rast_info.py |  12 +++
 doc/source/code/index_vect_info.py |  12 +++
 doc/source/conf.py                 |  18 +++-
 doc/source/core_index.md           |   2 +-
 doc/source/how_to_install.md       |   2 +-
 doc/source/quick_start.md          | 145 +++++++++++++++++++++++------
 doc/source/raster_class.md         |  15 +++
 doc/source/rasters_index.md        |   1 +
 doc/source/vector_class.md         |  16 ++++
 geoutils/__init__.py               |   5 +-
 geoutils/georaster/__init__.py     |   1 +
 geoutils/{ => georaster}/satimg.py |   0
 tests/test_georaster.py            |   2 +-
 tests/test_satimg.py               |  53 ++++++-----
 19 files changed, 262 insertions(+), 88 deletions(-)
 create mode 100644 doc/source/code/index_rast_info.py
 create mode 100644 doc/source/code/index_vect_info.py
 rename geoutils/{ => georaster}/satimg.py (100%)

diff --git a/dev-environment.yml b/dev-environment.yml
index e746f3193..d090c4f9f 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -12,6 +12,7 @@ dependencies:
 
   # Development-specific
   - autovizwidget
+  - graphviz
   - sphinx
   - myst-parser
   - sphinx-autodoc-typehints
diff --git a/dev-requirements.txt b/dev-requirements.txt
index e60323281..a86331d83 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -19,3 +19,4 @@ sphinx-gallery
 scikit-image
 pyyaml
 autovizwidget
+graphviz
\ No newline at end of file
diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index 78cbff10f..3f65159cd 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -24,7 +24,7 @@ and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) for georeferenc
 [SciPy](https://docs.scipy.org/doc/scipy/) and [Xarray](https://docs.xarray.dev/en/stable/) for scientific computing to provide:
 - A **common and consistent framework** for rasters and vectors handling and analysis,
 - A structure following the **principal of least knowledge**<sup>2</sup> to foster accessibility,
-- A **pythonic arithmetic** and **NumPy masked-array interface** for intuitive use.
+- A **pythonic arithmetic** and **NumPy interfacing** for intuitive use.
 
 ```{margin}
 <sup>2</sup>Or the [Law of Demeter](https://en.wikipedia.org/wiki/Law_of_Demeter) for software development.
@@ -32,11 +32,11 @@ and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) for georeferenc
 
 In particular, GeoUtils:
 - Rarely requires more than **single-line operations** due to its object-based structure,
-- Allows for **match-reference geospatial operations** to facilitate geospatial handling,
+- Allows for **match-reference operations** to facilitate geospatial handling,
 - Re-implements **several of [GDAL](https://gdal.org/)'s missing features** (Proximity, DEM, Calc, etc),
 - Naturally handles **different `dtypes` and `nodata`** values through its NumPy masked-array interface.
 
 
 ```{note}
-More on these core features of GeoUtils in the {ref}`core-concepts`.
+More on these core features of GeoUtils in the {ref}`quick-start`, or {ref}`core-index` for details.
 ```
\ No newline at end of file
diff --git a/doc/source/api.md b/doc/source/api.md
index 34ac5de9f..e6da9c7ce 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -9,14 +9,6 @@ documentation.
 .. currentmodule:: geoutils
 ```
 
-**Overview of class inheritance in GeoUtils:**
-
-```{eval-rst}
-.. inheritance-diagram:: geoutils.georaster.raster
-        :top-classes: geoutils.georaster.raster.Raster
-```
-
-
 ## Raster
 
 ```{eval-rst}
@@ -91,6 +83,15 @@ documentation.
     Raster.interp_points
 ```
 
+### Plotting
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Raster.show
+```
+
 ### Get or update data methods
 
 ```{eval-rst}
@@ -155,7 +156,7 @@ documentation.
     Raster.__truediv__
     Raster.__floordiv__
     Raster.__mod__
-    Raster.__power__    
+    Raster.__pow__    
 ```
 
 And reverse operations.
@@ -167,13 +168,11 @@ And reverse operations.
     :toctree: gen_modules/
 
     Raster.__eq__
-    Raster.__neq__
+    Raster.__ne__
     Raster.__lt__
     Raster.__le__
     Raster.__gt__
-    Raster.__ge__
-    Raster.__mod__
-    Raster.__power__    
+    Raster.__ge__ 
 ```
 
 ### Array interface with NumPy
diff --git a/doc/source/code/index_example.py b/doc/source/code/index_example.py
index 160bfd677..fe0fd6712 100644
--- a/doc/source/code/index_example.py
+++ b/doc/source/code/index_example.py
@@ -1,6 +1,6 @@
 import geoutils as gu
 
-# Examples files
+# Examples files: infrared band of Landsat and glacier outlines
 filename_rast = gu.examples.get_path("everest_landsat_b4")
 filename_vect = gu.examples.get_path("everest_rgi_outlines")
 
@@ -8,29 +8,42 @@
 rast = gu.Raster(filename_rast)
 vect = gu.Vector(filename_vect)
 
+# Open file as a satellite image
+import os
+print(os.path.basename(filename_rast))
+rast = gu.SatelliteImage(filename_rast, silent=False)
+
 # Crop raster to vector's extent
 rast.crop(vect)
 
-# Proximity to vector on raster's grid
+# Compute proximity to vector on raster's grid
 rast_proximity_to_vec = vect.proximity(rast)
 
 # Add 1 to the raster array
 rast += 1
 
-# Apply a sine to the raster array
+# Apply a normalization to the raster
 import numpy as np
-rast = np.sin(rast)
+rast = (rast - np.min(rast)) / (np.max(rast) - np.min(rast))
 
-# Get mask where proximity to vector fits specific raster values
-mask_aoi = rast >= rast_proximity_to_vec
+# Get mask of an AOI: infrared index above 0.9, at least 200 m from glaciers
+mask_aoi = np.logical_and(rast > 0.7, rast_proximity_to_vec > 200)
 
-# Index raster with the mask to extract a 1-D array of values
+# Index raster with mask to extract a 1-D array
 values_aoi = rast[mask_aoi]
 
 # Polygonize areas where mask is True
 vect_aoi = mask_aoi.polygonize()
 
-# Read file as a satellite image
-print(filename_rast)
-satimg = gu.SatelliteImage(filename_rast, silent=False)
+# Plot result
+import matplotlib.pyplot as plt
+fig = plt.figure()
+ax = plt.gca()
+rast.show(ax=ax, cmap='Reds', cb_title='Normalized infrared')
+vect_aoi.ds.plot(ax=ax, fc='none', ec='k', lw=0.5)
+
+# Save final raster and vector to files
+# rast.save()
+# vect_aoi.save()
 
+#TODO: maybe add glacier outlines also above, once the plotting through Vector is simplified
diff --git a/doc/source/code/index_rast_info.py b/doc/source/code/index_rast_info.py
new file mode 100644
index 000000000..44914008d
--- /dev/null
+++ b/doc/source/code/index_rast_info.py
@@ -0,0 +1,12 @@
+import geoutils as gu
+
+# Examples files
+filename_rast = gu.examples.get_path("everest_landsat_b4")
+filename_vect = gu.examples.get_path("everest_rgi_outlines")
+
+# Open files
+rast = gu.Raster(filename_rast)
+vect = gu.Vector(filename_vect)
+
+# Print raster metadata info
+print(rast.info())
\ No newline at end of file
diff --git a/doc/source/code/index_vect_info.py b/doc/source/code/index_vect_info.py
new file mode 100644
index 000000000..2fce27336
--- /dev/null
+++ b/doc/source/code/index_vect_info.py
@@ -0,0 +1,12 @@
+import geoutils as gu
+
+# Examples files
+filename_rast = gu.examples.get_path("everest_landsat_b4")
+filename_vect = gu.examples.get_path("everest_rgi_outlines")
+
+# Open files
+rast = gu.Raster(filename_rast)
+vect = gu.Vector(filename_vect)
+
+# Print vector metadata info
+print(vect.info())
\ No newline at end of file
diff --git a/doc/source/conf.py b/doc/source/conf.py
index e4443bde4..b03fb06bc 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -30,13 +30,12 @@
     "sphinx.ext.viewcode",  # Create the "[source]" button in the API to show the source code.
     "matplotlib.sphinxext.plot_directive",  # Render matplotlib figures from code.
     "sphinx.ext.autosummary",  # Create API doc summary texts from the docstrings.
-    "sphinx.ext.inheritance_diagram",  # For class inheritance diagrams (see coregistration.rst).
+    "sphinx.ext.inheritance_diagram",  # For class inheritance diagrams.
+    "sphinx.ext.graphviz", # To render graphviz diagrams.
     "sphinx_autodoc_typehints",  # Include type hints in the API documentation.
     "sphinxcontrib.programoutput",
     "sphinx_gallery.gen_gallery",  # Examples gallery
     "sphinx.ext.intersphinx",
-    "sphinx.ext.graphviz", # To render inheritance diagrams
-    "sphinx.ext.inheritance_diagram",  # For class inheritance diagrams
     "myst_parser",  # Form of Markdown that works with sphinx, used a lot by the Sphinx Book Theme
 ]
 
@@ -45,6 +44,8 @@
     "numpy": ("https://numpy.org/doc/stable", None),
     "matplotlib": ("https://matplotlib.org/stable", None),
     "pyproj": ("https://pyproj4.github.io/pyproj/stable", None),
+    "geopandas": ("https://geopandas.org/en/stable", None),
+    "xdem": ("https://xdem.readthedocs.io/en/latest", None),
 }
 
 sphinx_gallery_conf = {
@@ -66,6 +67,17 @@
     "pull": ("https://github.com/GlacioHack/geoutils/pull/%s", "PR"),
 }
 
+# For matplotlib figures generate with sphinx plot: (suffix, dpi)
+plot_formats = [('.png', 400)]
+
+# To avoid long path names in inheritance diagrams
+inheritance_alias = {"geoutils.georaster.raster.Raster": "geoutils.Raster", "geoutils.georaster.raster.Mask": "geoutils.Mask",
+                     "geoutils.georaster.satimg.SatelliteImage": "geoutils.SatelliteImage", "geoutils.geovector.Vector": "geoutils.Vector",
+                     "xdem.dem.DEM": "xdem.DEM"}
+
+# To avoid fuzzy PNGs
+graphviz_output_format = 'svg'
+
 # Add any paths that contain templates here, relative to this directory.
 templates_path = [os.path.join(os.path.dirname(__file__), "_templates")]
 
diff --git a/doc/source/core_index.md b/doc/source/core_index.md
index 7671cf598..774309eba 100644
--- a/doc/source/core_index.md
+++ b/doc/source/core_index.md
@@ -1,4 +1,4 @@
-(core-concepts)=
+(core-index)=
 # Fundamentals
 
 ```{toctree}
diff --git a/doc/source/how_to_install.md b/doc/source/how_to_install.md
index fb1a4520e..a04d48d4c 100644
--- a/doc/source/how_to_install.md
+++ b/doc/source/how_to_install.md
@@ -23,7 +23,7 @@ pip install geoutils
 ```
 
 ```{note}
-Setting up GDAL and PROJ may need some extra steps, depending on your operating system and configuration.
+Setting up GDAL and PROJ may require some extra steps, depending on your operating system and configuration.
 ```
 
 ## Installing for contributors
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index 61d72c8d9..d19a9b735 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -2,39 +2,115 @@
 
 # Quick start
 
-## The core `Raster` and `Vector` classes
+The following shows how to quickly get started with GeoUtils, show-casing examples on different aspects of the package.
+
+For more details, refer to the {ref}`core-index`, {ref}`rasters-index` or {ref}`vectors-index` pages.
+
+## The core {class}`~geoutils.Raster` and {class}`~geoutils.Vector` classes
 
 In GeoUtils, geospatial handling is object-based and revolves around {class}`~geoutils.Raster` and {class}`~geoutils.Vector`.
-These link to either on-disk or in-memory datasets, opened by instantiating the class.
+These link to either **on-disk** or **in-memory** datasets, opened by instantiating the class.
 
 ```{literalinclude} code/index_example.py
 :lines: 1-9
 :language: python
 ```
 
-## Class attributes and match-reference methods
+A {class}`~geoutils.Raster` is a composition class with four main attributes: 
+1. A {class}`~numpy.ma.MaskedArray` as `.data`, 
+2. A {class}`~pyproj.crs.CRS` as `.crs`,
+3. An {class}`~affine.Affine` as `.transform`,
+4. And a {class}`float` or {class}`int` as `.nodata`.
+
+When a file exists on disk, {class}`~geoutils.Raster` is linked to a {class}`rasterio.DatasetReader` object for loading the metadata, and the array at the 
+appropriate time.
+
+A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as `.ds`. 
+
+Attributes of {class}`~geoutils.Raster` and {class}`~geoutils.Vector` update with georeferenced operations on themselves, or one of their subclasses. 
 
-Attributes of {class}`~geoutils.Raster` and {class}`~geoutils.Vector` update with operations. These operations are generally based on class methods, for 
-example {func}`~geoutils.Raster.crop` or {func}`~geoutils.Vector.proximity`. Most of these functions can be passed solely another {class}`~geoutils.Raster` or 
-{class}`~geoutils.Vector` as a reference to match, or to utilize during the operation.
+## Parsing image metadata with {class}`~geoutils.SatelliteImage`
+
+In our case, `rast` would be better opened using the {class}`~geoutils.Raster` subclass {class}`~geoutils.SatelliteImage` instead, which tentatively parses 
+metadata recognized from the filename or auxiliary files.
 
 ```{literalinclude} code/index_example.py
-:lines: 11-15
+:lines: 11-14
+:language: python
+```
+
+```{eval-rst}
+.. program-output:: $PYTHON code/index_example.py
+        :shell:
+```
+
+There are many possible subclass to derive from a {class}`~geoutils.Raster`. Here's an **overview of current {class}`~geoutils.Raster` class inheritance**, which extends into 
+[xDEM](https://xdem.readthedocs.io/en/latest/index.html) through the {class}`~xdem.DEM` class for analyzing digital elevation models: 
+
+```{eval-rst}
+.. inheritance-diagram:: geoutils.georaster.raster geoutils.georaster.satimg xdem.dem.DEM
+    :top-classes: geoutils.georaster.raster.Raster
+```
+```{note}
+The {class}`~xdem.DEM` class of [xDEM](https://xdem.readthedocs.io/en/latest/index.html) re-implements all methods of [gdalDEM](https://gdal.org/programs/gdaldem.html) 
+(and more) to derive topographic attributes (hillshade, slope, aspect, etc), coded directly in Python for scalability and tested to yield the exact same 
+results.
+```
+
+## Geospatial handling and match-reference
+
+Geospatial operations are largely based on class methods, for 
+example {func}`geoutils.Raster.crop` or {func}`geoutils.Vector.proximity`. Most of these methods can be solely passed another {class}`~geoutils.Raster` or 
+{class}`~geoutils.Vector` as a **reference to match** during the operation.
+
+```{literalinclude} code/index_example.py
+:lines: 16-20
 :language: python
 ```
 
 ```{note}
 Right now, the array `.data` of `rast` is still not loaded. Applying {func}`~geoutils.Raster.crop` does not yet require loading, 
-and the metadata is sufficient to provide a georeferenced grid for {func}`~geoutils.Vector.proximity`. The array data will only be loaded when necessary.
+and `rast`'s metadata is sufficient to provide a georeferenced grid for {func}`~geoutils.Vector.proximity`. The array will only be loaded when necessary.
+```
+
+Additionally, in GeoUtils, **geospatial handling methods that apply to the same georeferencing attributes have consistent naming**<sup>1</sup> across {class}`~geoutils.Raster` and {class}`~geoutils.Vector`. 
+
+```{margin}
+<sup>1</sup>The names of geospatial handling methods is largely based on [GDAL and OGR](https://gdal.org/)'s, with the notable exception of {func}`~geoutils.Vector.reproject` that better applies to vectors than `warp`.
+```
+
+A {func}`~geoutils.Raster.reproject` involves a change in `.crs` or `.transform`, while a {func}`~geoutils.Raster.crop` only involves a change in `.bounds`. 
+Using {func}`~geoutils.Raster.polygonize` allows to generate a {class}`~geoutils.Vector` from a {class}`~geoutils.Raster`, and the other way around for {func}`~geoutils.Vector.rasterize`. 
+
+```{list-table} 
+   :widths: 30 30 30
+   :header-rows: 1
+   
+   * - **Class**
+     - {class}`~geoutils.Raster`
+     - {class}`~geoutils.Vector`
+   * - Warping/Reprojection 
+     - {func}`~geoutils.Raster.reproject` 
+     - {func}`~geoutils.Vector.reproject`
+   * - Cropping/Clipping
+     - {func}`~geoutils.Raster.crop`
+     - {func}`~geoutils.Vector.crop`
+   * - Rasterize/Polygonize
+     - {func}`~geoutils.Raster.polygonize`
+     - {func}`~geoutils.Vector.rasterize`
+   * - Proximity 
+     - {func}`~geoutils.Raster.proximity`
+     - {func}`~geoutils.Vector.proximity`
 ```
 
+
 ## Pythonic arithmetic and NumPy interface
 
-All {class}`~geoutils.Raster` support Python arithmetic (+, -, /, //, *, %) with any other {class}`~geoutils.Raster`, or {class}`~numpy.ndarray` or number
-(in case the georeferencing or shape is the same for all objects).
+All {class}`~geoutils.Raster` objects support Python arithmetic (+, -, /, //, *, ^, %) with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or 
+number. For other {class}`~geoutils.Raster`, the georeferencing must match, while only the shape for other {class}`~numpy.ndarray`.
 
 ```{literalinclude} code/index_example.py
-:lines: 17-18
+:lines: 22-23
 :language: python
 ```
 
@@ -42,47 +118,64 @@ Additionally, the class {class}`~geoutils.Raster` possesses a NumPy masked-array
 most other NumPy array functions, while logically casting `dtypes` and respecting `.nodata` values.
 
 ```{literalinclude} code/index_example.py
-:lines: 20-22
+:lines: 25-27
 :language: python
 ```
 
-## Casting to `Mask`, indexing and overloading
+## Casting to {class}`~geoutils.Mask`, indexing and overload
 
-All {class}`~geoutils.Raster` also support Python logical operators (==, !=, >=, >, <=, <), or more complex NumPy logical functions. Those operations 
+All {class}`~geoutils.Raster` classes also support Python logical operators (==, !=, >=, >, <=, <), or more complex NumPy logical functions. Those operations 
 automatically casts them into a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster`.
 
 
 ```{literalinclude} code/index_example.py
-:lines: 24-25
+:lines: 29-30
 :language: python
 ```
 
 Masks can then be used for indexing a {class}`~geoutils.Raster`.
 
 ```{literalinclude} code/index_example.py
-:lines: 27-28
+:lines: 32-33
 :language: python
 ```
 
-Masks also have simplified, overloaded {class}`~geoutils.Raster` methods due to their boolean `dtypes`. Polygonizing a `Mask` is straightforward, for instance,
-to retrieve a {class}`~geoutils.Vector` of the area-of-interest identified by the mask:
+Masks also have simplified, overloaded {class}`~geoutils.Raster` methods due to their boolean `dtypes`. Using {func}`~geoutils.Raster.polygonize` with a 
+{class}`~geoutils.Mask` is straightforward, for instance, to retrieve a {class}`~geoutils.Vector` of the masked area-of-interest:
 
 ```{literalinclude} code/index_example.py
-:lines: 30-31
+:lines: 35-36
 :language: python
 ```
 
-## Loading image metadata using `SatelliteImage`
+## Plotting and saving geospatial data
+
 
-The {class}`~geoutils.Raster` class is also subclassed by {class}`~geoutils.SatelliteImage`, which tentatively parses metadata recognized from the filename 
-or auxiliary files.
+Finally, GeoUtils includes basic plotting tools wrapping directly {func}`rasterio.plot.show` and {func}`geopandas.GeoDataFrame.plot` for {class}`~geoutils.Raster` and {class}`~geoutils.Vector`, respectively. 
+The plotting function was renamed {func}`~geoutils.Raster.show` everywhere, for consistency. 
+
+For saving, {func}`~geoutils.Raster.save` is used.
 
 ```{literalinclude} code/index_example.py
-:lines: 33-35
+:lines: 38-47
 :language: python
 ```
 
+```{admonition} Wrap-up
+In a few lines, we:
+ - **easily handled georeferencing** operations on rasters and vectors, 
+ - performed raster calculations **inherently respecting unvalid data**, and
+ - **naturally derived a vectorized mask** for an area-of-interest.
+
+Our high infrared absorption indexes at least 200 meters away from glaciers near Everest likely corresponds to **perennial snowfields** (see 
+figure below).
+
+For more hands-on examples, explore GeoUtils' gallery of examples.
+```
+
 ```{eval-rst}
-.. program-output:: $PYTHON code/index_example.py
-        :shell:
-```
\ No newline at end of file
+.. plot:: code/index_example.py
+    :caption: High infrared outside of glaciers at Mount Everest (perennial snowfields)
+    :width: 90%
+```
+
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index 94a193f95..d80855c36 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -19,6 +19,21 @@ It contains:
 :lines: 2-8
 ```
 
+````{margin} 
+**Example of raster from {func}`~geoutils.Raster.info`:**
+
+```{literalinclude} code/index_rast_info.py
+    :lines: 11-12
+    :language: python
+```
+
+```{eval-rst}
+.. program-output:: $PYTHON code/index_rast_info.py
+        :shell:
+```
+
+````
+
 To print information directly to your console:
 
 ```python
diff --git a/doc/source/rasters_index.md b/doc/source/rasters_index.md
index 916575227..48b5555c7 100644
--- a/doc/source/rasters_index.md
+++ b/doc/source/rasters_index.md
@@ -2,6 +2,7 @@
 # Rasters
 
 
+
 ```{toctree}
 :maxdepth: 2
     
diff --git a/doc/source/vector_class.md b/doc/source/vector_class.md
index 313cdcf10..97ba027b7 100644
--- a/doc/source/vector_class.md
+++ b/doc/source/vector_class.md
@@ -25,6 +25,22 @@ print(outlines)
 
 ```
 
+````{margin} 
+**Example of vector from {func}`~geoutils.Vector.info`:**
+
+```{literalinclude} code/index_vect_info.py
+    :lines: 11-12
+    :language: python
+```
+
+```{eval-rst}
+.. program-output:: $PYTHON code/index_vect_info.py
+        :shell:
+```
+
+
+````
+
 Masks can easily be generated for use with Rasters:
 
 ```{literalinclude} code/vector-basics_open_file.py
diff --git a/geoutils/__init__.py b/geoutils/__init__.py
index 2838e8e4b..897e8c077 100644
--- a/geoutils/__init__.py
+++ b/geoutils/__init__.py
@@ -3,10 +3,9 @@
 """
 
 from geoutils import spatial_tools  # noqa
-from geoutils import examples, georaster, geovector, projtools, satimg  # noqa
-from geoutils.georaster import Mask, Raster  # noqa
+from geoutils import examples, georaster, geovector, projtools  # noqa
+from geoutils.georaster import Mask, Raster, SatelliteImage  # noqa
 from geoutils.geovector import Vector  # noqa
-from geoutils.satimg import SatelliteImage  # noqa
 
 try:
     from geoutils.version import version as __version__  # noqa
diff --git a/geoutils/georaster/__init__.py b/geoutils/georaster/__init__.py
index 71375543e..87cc9171c 100644
--- a/geoutils/georaster/__init__.py
+++ b/geoutils/georaster/__init__.py
@@ -1,3 +1,4 @@
 from geoutils.georaster.raster import Raster, RasterType, Mask  # noqa isort:skip
+from geoutils.georaster.satimg import SatelliteImage
 
 __all__ = ["RasterType", "Raster"]
diff --git a/geoutils/satimg.py b/geoutils/georaster/satimg.py
similarity index 100%
rename from geoutils/satimg.py
rename to geoutils/georaster/satimg.py
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index bf1a6d6bb..bbddf1e8e 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -2667,7 +2667,7 @@ def test_ops_2args_expl(self, op: str) -> None:
 
         # Test with child class
         r3 = getattr(satimg, op)(intval)
-        assert isinstance(r3, gu.satimg.SatelliteImage)
+        assert isinstance(r3, gr.SatelliteImage)
 
     reflective_ops = [["__add__", "__radd__"], ["__mul__", "__rmul__"]]
 
diff --git a/tests/test_satimg.py b/tests/test_satimg.py
index 7151174ab..b13bb886a 100644
--- a/tests/test_satimg.py
+++ b/tests/test_satimg.py
@@ -11,7 +11,6 @@
 
 import geoutils
 import geoutils.georaster as gr
-import geoutils.satimg as si
 from geoutils import examples
 
 DO_PLOT = False
@@ -29,18 +28,18 @@ def test_init(self, example: str) -> None:
         """
 
         # from filename, checking option
-        img = si.SatelliteImage(example, read_from_fn=False)
-        img = si.SatelliteImage(example)
-        assert isinstance(img, si.SatelliteImage)
+        img = gr.SatelliteImage(example, read_from_fn=False)
+        img = gr.SatelliteImage(example)
+        assert isinstance(img, gr.SatelliteImage)
 
         # from SatelliteImage
-        img2 = si.SatelliteImage(img)
-        assert isinstance(img2, si.SatelliteImage)
+        img2 = gr.SatelliteImage(img)
+        assert isinstance(img2, gr.SatelliteImage)
 
         # from Raster
         r = gr.Raster(example)
-        img3 = si.SatelliteImage(r)
-        assert isinstance(img3, si.SatelliteImage)
+        img3 = gr.SatelliteImage(r)
+        assert isinstance(img3, gr.SatelliteImage)
 
         assert img.raster_equal(img2)
         assert img.raster_equal(img3)
@@ -65,13 +64,13 @@ def __exit__(self, *args) -> None:  # type: ignore
                 sys.stdout = self._stdout
 
         with Capturing() as output1:
-            si.SatelliteImage(example, silent=False)
+            gr.SatelliteImage(example, silent=False)
 
         # check the metadata reading outputs to console
         assert len(output1) > 0
 
         with Capturing() as output2:
-            si.SatelliteImage(example, silent=True)
+            gr.SatelliteImage(example, silent=True)
 
         # check nothing outputs to console
         assert len(output2) == 0
@@ -83,22 +82,22 @@ def test_add_sub(self) -> None:
         # Create fake rasters with random values in 0-255 and dtype uint8
         width = height = 5
         transform = rio.transform.from_bounds(0, 0, 1, 1, width, height)
-        satimg1 = si.SatelliteImage.from_array(
+        satimg1 = gr.SatelliteImage.from_array(
             np.random.randint(0, 255, (height, width), dtype="uint8"), transform=transform, crs=None
         )
-        satimg2 = si.SatelliteImage.from_array(
+        satimg2 = gr.SatelliteImage.from_array(
             np.random.randint(0, 255, (height, width), dtype="uint8"), transform=transform, crs=None
         )
 
         # Check that output type is same - other tests are in test_georaster.py
         sat_out = -satimg1
-        assert isinstance(sat_out, si.SatelliteImage)
+        assert isinstance(sat_out, gr.SatelliteImage)
 
         sat_out = satimg1 + satimg2
-        assert isinstance(sat_out, si.SatelliteImage)
+        assert isinstance(sat_out, gr.SatelliteImage)
 
         sat_out = satimg1 - satimg2  # type: ignore
-        assert isinstance(sat_out, si.SatelliteImage)
+        assert isinstance(sat_out, gr.SatelliteImage)
 
     @pytest.mark.parametrize("example", [landsat_b4, aster_dem])  # type: ignore
     def test_copy(self, example: str) -> None:
@@ -109,7 +108,7 @@ def test_copy(self, example: str) -> None:
         - if r is copied, r.data changed, r2.data should be unchanged
         """
         # Open dataset, update data and make a copy
-        r = si.SatelliteImage(example)
+        r = gr.SatelliteImage(example)
         r.data += 5
         r2 = r.copy()
 
@@ -117,7 +116,7 @@ def test_copy(self, example: str) -> None:
         assert r is not r2
 
         # Check the object is a SatelliteImage
-        assert isinstance(r2, geoutils.satimg.SatelliteImage)
+        assert isinstance(r2, gr.SatelliteImage)
 
         # check all immutable attributes are equal
         georaster_attrs = [
@@ -136,7 +135,7 @@ def test_copy(self, example: str) -> None:
         satimg_attrs = ["satellite", "sensor", "product", "version", "tile_name", "datetime"]
         # using list directly available in Class
         attrs = georaster_attrs + satimg_attrs
-        all_attrs = attrs + si.satimg_attrs
+        all_attrs = attrs + gr.satimg_attrs
         for attr in all_attrs:
             assert r.__getattribute__(attr) == r2.__getattribute__(attr)
 
@@ -193,7 +192,7 @@ def test_filename_parsing(self) -> None:
         ]
 
         for names in copied_names:
-            attrs = si.parse_metadata_from_fn(names)
+            attrs = geoutils.georaster.satimg.parse_metadata_from_fn(names)
             i = copied_names.index(names)
             assert satellites[i] == attrs[0]
             assert sensors[i] == attrs[1]
@@ -208,17 +207,17 @@ def test_sw_tile_naming_parsing(self) -> None:
         test_latlon = [(14, -65), (-14, 65), (14, -65), (14, -65), (14, -65), (0, 0)]
 
         for tile in test_tiles:
-            assert si.sw_naming_to_latlon(tile)[0] == test_latlon[test_tiles.index(tile)][0]
-            assert si.sw_naming_to_latlon(tile)[1] == test_latlon[test_tiles.index(tile)][1]
+            assert geoutils.georaster.satimg.sw_naming_to_latlon(tile)[0] == test_latlon[test_tiles.index(tile)][0]
+            assert geoutils.georaster.satimg.sw_naming_to_latlon(tile)[1] == test_latlon[test_tiles.index(tile)][1]
 
         for latlon in test_latlon:
-            assert si.latlon_to_sw_naming(latlon) == test_tiles[test_latlon.index(latlon)]
+            assert geoutils.georaster.satimg.latlon_to_sw_naming(latlon) == test_tiles[test_latlon.index(latlon)]
 
         # check possible exceptions, rounded lat/lon belong to their southwest border
-        assert si.latlon_to_sw_naming((0, 0)) == "N00E000"
+        assert geoutils.georaster.satimg.latlon_to_sw_naming((0, 0)) == "N00E000"
         # those are the same point, should give same naming
-        assert si.latlon_to_sw_naming((-90, 0)) == "S90E000"
-        assert si.latlon_to_sw_naming((90, 0)) == "S90E000"
+        assert geoutils.georaster.satimg.latlon_to_sw_naming((-90, 0)) == "S90E000"
+        assert geoutils.georaster.satimg.latlon_to_sw_naming((90, 0)) == "S90E000"
         # same here
-        assert si.latlon_to_sw_naming((0, -180)) == "N00W180"
-        assert si.latlon_to_sw_naming((0, 180)) == "N00W180"
+        assert geoutils.georaster.satimg.latlon_to_sw_naming((0, -180)) == "N00W180"
+        assert geoutils.georaster.satimg.latlon_to_sw_naming((0, 180)) == "N00W180"

From 98d23435c81d1a760b73f53e653c9b79949dc045 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 13 Feb 2023 18:42:59 -0800
Subject: [PATCH 020/184] Incremental commit on docs

---
 doc/source/code/index_example.py |  2 +-
 doc/source/quick_start.md        | 59 ++++++++++++++++----------------
 2 files changed, 31 insertions(+), 30 deletions(-)

diff --git a/doc/source/code/index_example.py b/doc/source/code/index_example.py
index fe0fd6712..dd1f602f2 100644
--- a/doc/source/code/index_example.py
+++ b/doc/source/code/index_example.py
@@ -26,7 +26,7 @@
 import numpy as np
 rast = (rast - np.min(rast)) / (np.max(rast) - np.min(rast))
 
-# Get mask of an AOI: infrared index above 0.9, at least 200 m from glaciers
+# Get mask of an AOI: infrared index above 0.7, at least 200 m from glaciers
 mask_aoi = np.logical_and(rast > 0.7, rast_proximity_to_vec > 200)
 
 # Index raster with mask to extract a 1-D array
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index d19a9b735..3b3126d7a 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -29,34 +29,6 @@ A {class}`~geoutils.Vector` is a composition class with a single main attribute:
 
 Attributes of {class}`~geoutils.Raster` and {class}`~geoutils.Vector` update with georeferenced operations on themselves, or one of their subclasses. 
 
-## Parsing image metadata with {class}`~geoutils.SatelliteImage`
-
-In our case, `rast` would be better opened using the {class}`~geoutils.Raster` subclass {class}`~geoutils.SatelliteImage` instead, which tentatively parses 
-metadata recognized from the filename or auxiliary files.
-
-```{literalinclude} code/index_example.py
-:lines: 11-14
-:language: python
-```
-
-```{eval-rst}
-.. program-output:: $PYTHON code/index_example.py
-        :shell:
-```
-
-There are many possible subclass to derive from a {class}`~geoutils.Raster`. Here's an **overview of current {class}`~geoutils.Raster` class inheritance**, which extends into 
-[xDEM](https://xdem.readthedocs.io/en/latest/index.html) through the {class}`~xdem.DEM` class for analyzing digital elevation models: 
-
-```{eval-rst}
-.. inheritance-diagram:: geoutils.georaster.raster geoutils.georaster.satimg xdem.dem.DEM
-    :top-classes: geoutils.georaster.raster.Raster
-```
-```{note}
-The {class}`~xdem.DEM` class of [xDEM](https://xdem.readthedocs.io/en/latest/index.html) re-implements all methods of [gdalDEM](https://gdal.org/programs/gdaldem.html) 
-(and more) to derive topographic attributes (hillshade, slope, aspect, etc), coded directly in Python for scalability and tested to yield the exact same 
-results.
-```
-
 ## Geospatial handling and match-reference
 
 Geospatial operations are largely based on class methods, for 
@@ -170,7 +142,9 @@ In a few lines, we:
 Our high infrared absorption indexes at least 200 meters away from glaciers near Everest likely corresponds to **perennial snowfields** (see 
 figure below).
 
-For more hands-on examples, explore GeoUtils' gallery of examples.
+For a **bonus** example on parsing satellite metadata and DEMs, continue below.
+
+Otherwise, for more **hands-on** examples, explore GeoUtils' gallery of examples!
 ```
 
 ```{eval-rst}
@@ -179,3 +153,30 @@ For more hands-on examples, explore GeoUtils' gallery of examples.
     :width: 90%
 ```
 
+## **Bonus:** Parsing metadata with {class}`~geoutils.SatelliteImage`
+
+In our case, `rast` would be better opened using the {class}`~geoutils.Raster` subclass {class}`~geoutils.SatelliteImage` instead, which tentatively parses 
+metadata recognized from the filename or auxiliary files.
+
+```{literalinclude} code/index_example.py
+:lines: 11-14
+:language: python
+```
+
+```{eval-rst}
+.. program-output:: $PYTHON code/index_example.py
+        :shell:
+```
+
+There are many possible subclass to derive from a {class}`~geoutils.Raster`. Here's an **overview of current {class}`~geoutils.Raster` class inheritance**, which extends into 
+[xDEM](https://xdem.readthedocs.io/en/latest/index.html) through the {class}`~xdem.DEM` class for analyzing digital elevation models: 
+
+```{eval-rst}
+.. inheritance-diagram:: geoutils.georaster.raster geoutils.georaster.satimg xdem.dem.DEM
+    :top-classes: geoutils.georaster.raster.Raster
+```
+```{note}
+The {class}`~xdem.DEM` class of [xDEM](https://xdem.readthedocs.io/en/latest/index.html) re-implements all methods of [gdalDEM](https://gdal.org/programs/gdaldem.html) 
+(and more) to derive topographic attributes (hillshade, slope, aspect, etc), coded directly in Python for scalability and tested to yield the exact same 
+results.
+```
\ No newline at end of file

From 9110aadcc7cab45015b9668a540af091f8303776 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 14 Feb 2023 12:30:54 -0800
Subject: [PATCH 021/184] Incremental commit on doc

---
 doc/source/about_geoutils.md | 32 ++++++++++++++++++++++++++++----
 doc/source/background.md     |  1 +
 doc/source/from_gdal.md      |  3 ---
 doc/source/index.md          |  2 +-
 doc/source/quick_start.md    | 35 ++++++++++++++++++-----------------
 5 files changed, 48 insertions(+), 25 deletions(-)
 delete mode 100644 doc/source/from_gdal.md

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index 3f65159cd..52223ec4c 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -4,8 +4,12 @@
 
 ## What is GeoUtils?
 
-GeoUtils<sup>1</sup> is a [Python](https://www.python.org/) package for the manipulation and analysis of georeferenced data, developed with the objective of 
-making geospatial analysis intuitive, accessible and robust. It is designed for all Earth and planetary observation science.
+GeoUtils<sup>1</sup> is a **[Python](https://www.python.org/) package for the handling and analysis of georeferenced data**, developed with the objective of 
+making geospatial analysis accessible, intuitive and robust. 
+
+GeoUtils is designed for all Earth and planetary observation science. It is generally **most useful for remote sensing and Earth's surface applications 
+relying on moderate- to high-resolution georeferenced data** (typically < 1 km). Applications that, for analysis, require reprojections, re-gridding, point 
+interpolation, and other types of fine-grid analysis with millions of pixels.
 
 ```{margin}
 <sup>1</sup>With name standing for *Geospatial Utilities*.
@@ -19,12 +23,12 @@ We are working on making features fully consistent for the first long-term relea
 
 ## Why use GeoUtils?
 
-GeoUtils is built on top of the packages [Rasterio](https://rasterio.readthedocs.io/en/latest/), [GeoPandas](https://geopandas.org/en/stable/docs.html) 
+GeoUtils is built on top of [Rasterio](https://rasterio.readthedocs.io/en/latest/), [GeoPandas](https://geopandas.org/en/stable/docs.html) 
 and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) for georeferenced operations, and relies on [NumPy](https://numpy.org/doc/stable/), 
 [SciPy](https://docs.scipy.org/doc/scipy/) and [Xarray](https://docs.xarray.dev/en/stable/) for scientific computing to provide:
 - A **common and consistent framework** for rasters and vectors handling and analysis,
 - A structure following the **principal of least knowledge**<sup>2</sup> to foster accessibility,
-- A **pythonic arithmetic** and **NumPy interfacing** for intuitive use.
+- A **pythonic arithmetic** and **NumPy interfacing** for robust numerical computing and intuitive use.
 
 ```{margin}
 <sup>2</sup>Or the [Law of Demeter](https://en.wikipedia.org/wiki/Law_of_Demeter) for software development.
@@ -32,6 +36,7 @@ and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) for georeferenc
 
 In particular, GeoUtils:
 - Rarely requires more than **single-line operations** due to its object-based structure,
+- Strives to rely on **lazy-operations** under-the-hood to avoid unnecessary data loading,
 - Allows for **match-reference operations** to facilitate geospatial handling,
 - Re-implements **several of [GDAL](https://gdal.org/)'s missing features** (Proximity, DEM, Calc, etc),
 - Naturally handles **different `dtypes` and `nodata`** values through its NumPy masked-array interface.
@@ -39,4 +44,23 @@ In particular, GeoUtils:
 
 ```{note}
 More on these core features of GeoUtils in the {ref}`quick-start`, or {ref}`core-index` for details.
+```
+
+## Why the need for GeoUtils?
+
+Recent community efforts have improved open-source geospatial analysis in Python, allowing to **move away from the low-level functions and 
+complexity of [GDAL and OGR](https://gdal.org/)**'s Python bindings for raster and vector handling. Those efforts include in particular [Rasterio](https://rasterio.readthedocs.io/en/latest/) and [GeoPandas](https://geopandas.org/en/stable/docs.html).
+
+However, these new packages still maintain a relatively low-level API to serve all types of geospatial informatics users, **slowing down end-users focusing 
+on data analysis**. As a result, interfacing between vector data and raster data is delicate and simple higher-level operation (such as 
+reprojection to match a reference) are not always computed consistently in the community.
+
+Additionally, [Rasterio](https://rasterio.readthedocs.io/en/latest/) focuses mostly on reading, projecting and writing, and thus **requires array extraction 
+and re-encapsulation** either before, during or after any numerical computation to interface with other georeferencing packages. 
+
+Finally, **many common geospatial analysis tools are generally unavailable** in existing packages (e.g., boolean-masking from vectors, 
+[proximity](https://gdal.org/programs/gdal_proximity.html) estimation, metric buffering) as they rely on a combination of lower-level operations. 
+
+```{admonition} Conclusion
+Having higher-level geospatial tools implemented in a **consistent** manner and tested for **robustness** is essential for the wider geospatial community.
 ```
\ No newline at end of file
diff --git a/doc/source/background.md b/doc/source/background.md
index 602f93238..2276e8d97 100644
--- a/doc/source/background.md
+++ b/doc/source/background.md
@@ -2,6 +2,7 @@
 
 # Background
 
+More information on the people behind GeoUtils, and the package's mission.
 
 ## Mission
 
diff --git a/doc/source/from_gdal.md b/doc/source/from_gdal.md
deleted file mode 100644
index dfd007b88..000000000
--- a/doc/source/from_gdal.md
+++ /dev/null
@@ -1,3 +0,0 @@
-(from-gdal)=
-
-# Moving from GDAL or other Python packages
\ No newline at end of file
diff --git a/doc/source/index.md b/doc/source/index.md
index 174ddde29..68119783c 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -6,7 +6,7 @@
 # Welcome to GeoUtils' documentation!
 
 ```{epigraph}
-GeoUtils is an **intuitive**, **robust** and **accessible** package to handle and analyze geospatial data.
+GeoUtils is an **accessible**, **intuitive** and **robust** package to quickly handle and analyze geospatial data.
 ```
 
 ```{important}
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index 3b3126d7a..116833625 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -2,7 +2,7 @@
 
 # Quick start
 
-The following shows how to quickly get started with GeoUtils, show-casing examples on different aspects of the package.
+The following presents how to quickly get started with GeoUtils, show-casing examples on different core aspects of the package.
 
 For more details, refer to the {ref}`core-index`, {ref}`rasters-index` or {ref}`vectors-index` pages.
 
@@ -31,8 +31,8 @@ Attributes of {class}`~geoutils.Raster` and {class}`~geoutils.Vector` update wit
 
 ## Geospatial handling and match-reference
 
-Geospatial operations are largely based on class methods, for 
-example {func}`geoutils.Raster.crop` or {func}`geoutils.Vector.proximity`. Most of these methods can be solely passed another {class}`~geoutils.Raster` or 
+Geospatial operations are largely based on class methods, such  
+as {func}`geoutils.Raster.crop` or {func}`geoutils.Vector.proximity`. Most of these methods can be solely passed another {class}`~geoutils.Raster` or 
 {class}`~geoutils.Vector` as a **reference to match** during the operation.
 
 ```{literalinclude} code/index_example.py
@@ -51,9 +51,6 @@ Additionally, in GeoUtils, **geospatial handling methods that apply to the same
 <sup>1</sup>The names of geospatial handling methods is largely based on [GDAL and OGR](https://gdal.org/)'s, with the notable exception of {func}`~geoutils.Vector.reproject` that better applies to vectors than `warp`.
 ```
 
-A {func}`~geoutils.Raster.reproject` involves a change in `.crs` or `.transform`, while a {func}`~geoutils.Raster.crop` only involves a change in `.bounds`. 
-Using {func}`~geoutils.Raster.polygonize` allows to generate a {class}`~geoutils.Vector` from a {class}`~geoutils.Raster`, and the other way around for {func}`~geoutils.Vector.rasterize`. 
-
 ```{list-table} 
    :widths: 30 30 30
    :header-rows: 1
@@ -75,6 +72,9 @@ Using {func}`~geoutils.Raster.polygonize` allows to generate a {class}`~geoutils
      - {func}`~geoutils.Vector.proximity`
 ```
 
+A {func}`~geoutils.Raster.reproject` involves a change in `.crs` or `.transform`, while a {func}`~geoutils.Raster.crop` only involves a change in `.bounds`. 
+Using {func}`~geoutils.Raster.polygonize` allows to generate a {class}`~geoutils.Vector` from a {class}`~geoutils.Raster`, and the other way around for {func}`~geoutils.Vector.rasterize`. 
+
 
 ## Pythonic arithmetic and NumPy interface
 
@@ -113,7 +113,7 @@ Masks can then be used for indexing a {class}`~geoutils.Raster`.
 ```
 
 Masks also have simplified, overloaded {class}`~geoutils.Raster` methods due to their boolean `dtypes`. Using {func}`~geoutils.Raster.polygonize` with a 
-{class}`~geoutils.Mask` is straightforward, for instance, to retrieve a {class}`~geoutils.Vector` of the masked area-of-interest:
+{class}`~geoutils.Mask` is straightforward, for instance, to retrieve a {class}`~geoutils.Vector` of the area-of-interest:
 
 ```{literalinclude} code/index_example.py
 :lines: 35-36
@@ -133,26 +133,27 @@ For saving, {func}`~geoutils.Raster.save` is used.
 :language: python
 ```
 
+```{eval-rst}
+.. plot:: code/index_example.py
+    :caption: High infrared outside of glaciers at Mount Everest (perennial snowfields)
+    :width: 90%
+```
+
 ```{admonition} Wrap-up
 In a few lines, we:
  - **easily handled georeferencing** operations on rasters and vectors, 
- - performed raster calculations **inherently respecting unvalid data**, and
- - **naturally derived a vectorized mask** for an area-of-interest.
+ - performed numerical calculations **inherently respecting unvalid data**,
+ - **naturally casted to a mask** from a logical operation on raster, and
+ - **intuitively vectorized a mask** by harnessing overloaded subclass methods.
 
-Our high infrared absorption indexes at least 200 meters away from glaciers near Everest likely corresponds to **perennial snowfields** (see 
-figure below).
+Our result: a vector of high infrared absorption indexes at least 200 meters away from glaciers 
+near Everest, which likely corresponds to **perennial snowfields**.
 
 For a **bonus** example on parsing satellite metadata and DEMs, continue below.
 
 Otherwise, for more **hands-on** examples, explore GeoUtils' gallery of examples!
 ```
 
-```{eval-rst}
-.. plot:: code/index_example.py
-    :caption: High infrared outside of glaciers at Mount Everest (perennial snowfields)
-    :width: 90%
-```
-
 ## **Bonus:** Parsing metadata with {class}`~geoutils.SatelliteImage`
 
 In our case, `rast` would be better opened using the {class}`~geoutils.Raster` subclass {class}`~geoutils.SatelliteImage` instead, which tentatively parses 

From d9085d4c80d687fca7646a77f98a48f513f731c3 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 14 Feb 2023 12:37:23 -0800
Subject: [PATCH 022/184] Pin dependencies for sphinx

---
 dev-environment.yml  | 1 +
 dev-requirements.txt | 5 +++--
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/dev-environment.yml b/dev-environment.yml
index d090c4f9f..b2a2bbd27 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -13,6 +13,7 @@ dependencies:
   # Development-specific
   - autovizwidget
   - graphviz
+  - jinja2<3.1
   - sphinx
   - myst-parser
   - sphinx-autodoc-typehints
diff --git a/dev-requirements.txt b/dev-requirements.txt
index a86331d83..cb0896c93 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -1,4 +1,4 @@
-rasterio
+rasterio >= 1.3
 geopandas >= 0.10.0
 pyproj
 flake8
@@ -19,4 +19,5 @@ sphinx-gallery
 scikit-image
 pyyaml
 autovizwidget
-graphviz
\ No newline at end of file
+graphviz
+jinja2 < 3.1

From 02bb6f0ce19f328451fcc1d916d232a699e5eaff Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 14 Feb 2023 18:13:11 -0800
Subject: [PATCH 023/184] Incremental commit on doc

---
 doc/source/core_composition.md |  48 +++++++++++++++
 doc/source/core_inheritance.md |   2 +-
 doc/source/core_match_ref.md   | 108 ++++++++++++++++++++++++++++++++-
 doc/source/quick_start.md      |  33 +++++-----
 doc/source/vector_class.md     |   2 +
 5 files changed, 175 insertions(+), 18 deletions(-)

diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
index 7f1a6f47a..f79e15803 100644
--- a/doc/source/core_composition.md
+++ b/doc/source/core_composition.md
@@ -1,2 +1,50 @@
 (core-composition)=
+
 # Composition from Rasterio and GeoPandas
+
+## A composition framework
+
+GeoUtil's main classes {class}`~geoutils.Raster` and {class}`~geoutils.Vector` are linked to [Rasterio](https://rasterio.readthedocs.io/en/latest/) and
+[GeoPandas](https://geopandas.org/en/stable/docs.html), respectively, through class composition. 
+
+They directly rely on their robust geospatial handling functionalities, as well of that of [PyProj](https://pyproj4.github.io/pyproj/stable/index.html), and 
+add a layer on top for interfacing between rasters and vectors with higher-level operations, performing easier numerical analysis, and adding more advanced geospatial functionalities.
+
+## The {class}`~geoutils.Raster` class composition
+
+The {class}`~geoutils.Raster` is a composition class with **four main attributes**:
+
+1. a {class}`numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`, 
+2. a {class}`pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`, 
+3. an {class}`affine.Affine` as {attr}`~geoutils.Raster.transform`, and 
+4. a {class}`float` or {class}`int` as {attr}`~geoutils.Raster.nodata`.
+
+From these **four main attributes**, many other derivatives attributes exist, such as {attr}`~geoutils.Raster.bounds` or {attr}`~geoutils.Raster.res` to 
+describe georeferencing. When a {class}`~geoutils.Raster` is based on an **on-disk** dataset, other attributes exist such as {attr}`~geoutils.Raster.
+name` or {attr}`~geoutils.Raster.driver`.
+
+```{important}
+The {class}`~geoutils.Raster` is not a composition of either a {class}`rasterio.DatasetReader`, a {class}`rasterio.MemoryFile` or a {class}`rasterio.DatasetWriter`. 
+It is only linked to those objects to initiate a {class}`~geoutils.Raster` instance which first loads the metadata (notably the three main metadata attributes 
+{attr}`~geoutils.Raster.crs`, {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.nodata`). 
+Then, explicity or implicitly, it can also {class}`~geoutils.Raster.load` the array data when an **on-disk** dataset exists, or {class}`~geoutils.Raster.save` the **in-memory** 
+dataset to a file.
+```
+
+A {class}`~geoutils.Raster` generally exists only as an **in-memory** dataset, not linked to anything else than a {class}`numpy.ma.MaskedArray` in {attr}`~geoutils.Raster.data` 
+(for instance, when creating from {func}`~geoutils.Raster.from_array`). If a numerical operation is performed on a {class}`~geoutils.Raster` opened from an 
+**on-disk** dataset, the new dataset will be modified **in-memory**.
+
+```{note}
+To check if a {class}`~geoutils.Raster` was loaded from the **on-disk** data, use the {attr}`~geoutils.Raster.is_loaded` attribute. 
+
+To check if the {class}`~geoutils.Raster` was modified since loading from the **on-disk** data, use the {attr}`~geoutils.Raster.is_modified` attribute. 
+```
+
+## The {class}`~geoutils.Vector` class composition
+
+A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as {attr}`~geoutils.Vector.ds`.
+
+Because lazy loading is a lesser priority with vector data, a {class}`~geoutils.Vector` directly loads its {attr}`~geoutils.Vector.ds`. Besides, many 
+higher-level geospatial methods are already available in {class}`~geopandas.GeoDataFrame`. We thus only wrap those directly into {class}`~geoutils.Vector`, 
+in order to easily call them from the vector object, and build additional methods on top.
diff --git a/doc/source/core_inheritance.md b/doc/source/core_inheritance.md
index 73e96d255..da567ddaf 100644
--- a/doc/source/core_inheritance.md
+++ b/doc/source/core_inheritance.md
@@ -1,2 +1,2 @@
 (core-inheritance)=
-# Inheritance for satellite images, DEMs
+# Inheritance to geo-images and beyond
diff --git a/doc/source/core_match_ref.md b/doc/source/core_match_ref.md
index fb2504839..f112c0b05 100644
--- a/doc/source/core_match_ref.md
+++ b/doc/source/core_match_ref.md
@@ -1,2 +1,108 @@
 (core-match-ref)=
-# Intuitive match-reference operations
+# Match-reference functionality
+
+## What is match-reference ?
+
+Match-reference means to **match** the georeferencing of a dataset to that of another **reference** dataset.
+
+## Why the need for match-reference?
+
+End-users of geospatial tools largely focus on analyzing their data. To this end, they first **need to reconcile data sources**, often provided **in different 
+projections, resolutions, and bounds**. This is generally performed by matching all dataset to a certain reference.
+
+Such functionalities are not always available from lower-level packages, in order to keep geoinformatics flexible for more diverse uses. This 
+**breaks the principle of least knowledge**, however, for which a user should not need to understand more information than just what is required to run an 
+operation. 
+
+**GeoUtils allows for match-reference for nearly all geospatial handling operations**, with consistent behaviour across functionalities for intuitive use.
+
+## Matching with a {class}`~geoutils.Raster` or a {class}`~geoutils.Vector` reference
+
+The rules of using match-reference with a {class}`~geoutils.Raster` or a {class}`~geoutils.Vector` are always the same.
+
+ - If the **reference** passed is a {class}`~geoutils.Vector`, it can enforce a matching of its {attr}`~geoutils.Vector.bounds` and/or of its {attr}`~geoutils.Vector.crs` (its only two 
+   georeferencing characteristics),
+ - If the **reference** is a {class}`~geoutils.Raster`, it can also enforce a matching of any aspect of its {attr}`~geoutils.Raster.transform` (i.e, its 
+   {attr}`~geoutils.Raster.res`, {attr}`~geoutils.Raster.bounds` or {attr}`~geoutils.Raster.shape`) and/or of its {attr}`~geoutils.Raster.crs`.
+
+Which of these attributes are eventually used to enforce the matching **depends entirely on the nature of the operation**, which are listed below.
+
+## Geospatial handling rules for match-reference
+
+Core "handling" methods all support match-reference, and **always enforce the same georeferencing attributes** for either {class}`~geoutils.Raster` 
+or {class}`~geoutils.Vector`:
+
+```{list-table} 
+   :widths: 30 30 30
+   :header-rows: 1
+   
+   * - **Operation**
+     - Enforced on {class}`~geoutils.Raster`
+     - Enforced on {class}`~geoutils.Vector`
+   * - {func}`~geoutils.Raster.warp`
+     - {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.crs`
+     - {attr}`~geoutils.Vector.bounds`<sup>1</sup> and {attr}`~geoutils.Vector.crs`
+   * - {func}`~geoutils.Raster.reproject` 
+     - {attr}`~geoutils.Raster.crs`
+     - {attr}`~geoutils.Vector.crs`
+   * - {func}`~geoutils.Raster.crop`
+     - {attr}`~geoutils.Vector.bounds`
+     - {attr}`~geoutils.Raster.bounds`
+   * - {func}`~geoutils.Raster.resample`
+     - {attr}`~geoutils.Raster.res`
+     - N/A
+
+```
+
+<sup>1</sup>Because a {class}`~geoutils.Vector` only possesses the {attr}`~geoutils.Vector.bounds` attribute of a {class}`~geoutils.Raster`'s {attr}`~geoutils.Raster.transform`.
+
+
+## Other operations supporting match-reference arguments
+
+There are **other geospatial operation that also support match-reference arguments**. Unlike the geospatial handling methods described above, these do not aim 
+at modifying the georeferencing of a {class}`~geoutils.Raster` or a {class}`~geoutils.Vector`. Instead, they simply require the georeferencing metadata.
+
+### From vector to raster
+
+The {func}`~geoutils.Vector.rasterize` operation to convert from {class}`~geoutils.Vector` to {class}`~geoutils.Raster` accepts a {class}`~geoutils.Raster` to define the 
+grid and georeferencing. The behaviour is similar for {func}`~geoutils.Vector.create_mask`, that directly relies on {func}`~geoutils.Vector.rasterize` to 
+rasterize directly into a boolean {class}`~geoutils.Raster.Mask`.
+
+In addition, the {func}`~geoutils.Vector.proximity` operation to compute proximity distances from the vector also relies on a 
+{func}`~geoutils.Vector.rasterize`, and therefore also accepts a {class}`~geoutils.Raster` as reference.
+
+Therefore, the behaviour is consistent for all {class}`~geoutils.Vector` methods that can be passed a {class}`~geoutils.Raster`:
+
+```{list-table} 
+   :widths: 50 50
+   :header-rows: 1
+   
+   * - **Operation on {class}`~geoutils.Vector`**
+     - **Behaviour**
+   * - {func}`~geoutils.Vector.rasterize`
+     - Gridding with {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.crs`
+   * - {func}`~geoutils.Vector.create_mask`
+     - Gridding with {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.crs`
+   * - {func}`~geoutils.Vector.proximity`
+     - Gridding with {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.crs`
+```
+
+### And inversely
+
+However, in the case of {class}`~geoutils.Raster` methods that yield a {class}`~geoutils.Vector` or {class}`~geoutils.Raster`, a reference is rarely needed. 
+This is because this reference is derived directly from the input {class}`~geoutils.Raster` itself, harnessing the object-based structure of GeoUtils.
+
+The user can always {func}`~geoutils.Vector.crop` or {func}`~geoutils.Vector.reproject` the output afterwards, if desired.
+
+```{list-table} 
+   :widths: 50 50
+   :header-rows: 1
+   
+   * - **Operation on {class}`~geoutils.Raster`**
+     - **Behaviour**
+   * - {func}`~geoutils.Raster.polygonize`
+     - Using `.self` ({class}`~geoutils.Raster`) as reference for {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.crs` 
+   * - {func}`~geoutils.Raster.proximity`
+     - Using `.self` ({class}`~geoutils.Raster`) as reference for {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.crs`
+```
+
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index 116833625..c19ea926d 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -16,36 +16,37 @@ These link to either **on-disk** or **in-memory** datasets, opened by instantiat
 :language: python
 ```
 
-A {class}`~geoutils.Raster` is a composition class with four main attributes: 
-1. A {class}`~numpy.ma.MaskedArray` as `.data`, 
-2. A {class}`~pyproj.crs.CRS` as `.crs`,
-3. An {class}`~affine.Affine` as `.transform`,
-4. And a {class}`float` or {class}`int` as `.nodata`.
+A {class}`~geoutils.Raster` is a composition class with four main attributes: a {class}`~numpy.ma.MaskedArray` as `.data`, a {class}`~pyproj.crs.CRS` as `.crs`, 
+an {class}`~affine.Affine` as `.transform`, and a {class}`float` or {class}`int` as `.nodata`. When a file exists on disk, {class}`~geoutils.Raster` is 
+linked to a {class}`rasterio.DatasetReader` object for loading the metadata, and the array at the appropriate time.
 
-When a file exists on disk, {class}`~geoutils.Raster` is linked to a {class}`rasterio.DatasetReader` object for loading the metadata, and the array at the 
-appropriate time.
+A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as `.ds`, for which most methods are 
+wrapped directly into {class}`~geoutils.Vector`. 
 
-A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as `.ds`. 
-
-Attributes of {class}`~geoutils.Raster` and {class}`~geoutils.Vector` update with georeferenced operations on themselves, or one of their subclasses. 
+All other attributes are derivatives of those main attributes, or of the filename on disk. Attributes of {class}`~geoutils.Raster` and 
+{class}`~geoutils.Vector` update with geospatial operations on themselves. 
 
 ## Geospatial handling and match-reference
 
-Geospatial operations are largely based on class methods, such  
-as {func}`geoutils.Raster.crop` or {func}`geoutils.Vector.proximity`. Most of these methods can be solely passed another {class}`~geoutils.Raster` or 
-{class}`~geoutils.Vector` as a **reference to match** during the operation.
+Geospatial operations are based on class methods, such as {func}`geoutils.Raster.crop` or {func}`geoutils.Vector.proximity`. Nearly all of these methods can be 
+passed solely another {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a **reference to match** during the operation. A **reference {class}`~geoutils.Vector`** 
+enforces a matching of `.bounds` and/or `.crs`, while a **reference {class}`~geoutils.Raster`** can also enforce a matching of `.res`, depending on the nature of the operation.
 
 ```{literalinclude} code/index_example.py
 :lines: 16-20
 :language: python
 ```
 
+All methods can be also be passed any number of georeferencing arguments such as `.shape` or `.res`, and will logically deduce others from the input, much 
+as in [GDAL](https://gdal.org/)'s command line.
+
+
 ```{note}
 Right now, the array `.data` of `rast` is still not loaded. Applying {func}`~geoutils.Raster.crop` does not yet require loading, 
 and `rast`'s metadata is sufficient to provide a georeferenced grid for {func}`~geoutils.Vector.proximity`. The array will only be loaded when necessary.
 ```
 
-Additionally, in GeoUtils, **geospatial handling methods that apply to the same georeferencing attributes have consistent naming**<sup>1</sup> across {class}`~geoutils.Raster` and {class}`~geoutils.Vector`. 
+Additionally, in GeoUtils, **methods that apply to the same georeferencing attributes have consistent naming**<sup>1</sup> across {class}`~geoutils.Raster` and {class}`~geoutils.Vector`. 
 
 ```{margin}
 <sup>1</sup>The names of geospatial handling methods is largely based on [GDAL and OGR](https://gdal.org/)'s, with the notable exception of {func}`~geoutils.Vector.reproject` that better applies to vectors than `warp`.
@@ -144,9 +145,9 @@ In a few lines, we:
  - **easily handled georeferencing** operations on rasters and vectors, 
  - performed numerical calculations **inherently respecting unvalid data**,
  - **naturally casted to a mask** from a logical operation on raster, and
- - **intuitively vectorized a mask** by harnessing overloaded subclass methods.
+ - **straightforwardly vectorized a mask** by harnessing overloaded subclass methods.
 
-Our result: a vector of high infrared absorption indexes at least 200 meters away from glaciers 
+**Our result:** a vector of high infrared absorption indexes at least 200 meters away from glaciers 
 near Everest, which likely corresponds to **perennial snowfields**.
 
 For a **bonus** example on parsing satellite metadata and DEMs, continue below.
diff --git a/doc/source/vector_class.md b/doc/source/vector_class.md
index 97ba027b7..389126b6e 100644
--- a/doc/source/vector_class.md
+++ b/doc/source/vector_class.md
@@ -78,6 +78,8 @@ TODO: Add rasterize text.
 
 ## Rasterize
 
+The {func}`~geoutils.Vector.rasterize` operation to convert from {class}`~geoutils.Vector` to {class}`~geoutils.Raster` inherently requires a 
+{attr}`~geoutils.Raster.res` or {attr}`~geoutils.Raster.shape` attribute to define the grid. While those can be passed on their own.
 
 ## Proximity
 

From a304191449a15685cea7e632a8842fc8e0fd0a6f Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 15 Feb 2023 13:22:15 -0800
Subject: [PATCH 024/184] Incremental commit on doc

---
 dev-environment.yml                   |   1 +
 dev-requirements.txt                  |   1 +
 doc/jupyter_execute/core_py_ops.ipynb | 295 ++++++++++++++++++++++++++
 doc/source/conf.py                    |   5 +-
 doc/source/core_array_funcs.md        |  10 +
 doc/source/core_py_ops.md             |  90 +++++++-
 doc/source/quick_start.md             |   6 +-
 geoutils/georaster/raster.py          |  40 +++-
 8 files changed, 434 insertions(+), 14 deletions(-)
 create mode 100644 doc/jupyter_execute/core_py_ops.ipynb

diff --git a/dev-environment.yml b/dev-environment.yml
index b2a2bbd27..a6a27ac0c 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -16,6 +16,7 @@ dependencies:
   - jinja2<3.1
   - sphinx
   - myst-parser
+  - myst-nb
   - sphinx-autodoc-typehints
   - sphinxcontrib-programoutput
   - numpydoc
diff --git a/dev-requirements.txt b/dev-requirements.txt
index cb0896c93..3453961df 100644
--- a/dev-requirements.txt
+++ b/dev-requirements.txt
@@ -12,6 +12,7 @@ sphinxcontrib_programoutput
 sphinx_autodoc_typehints
 matplotlib
 myst-parser
+myst-nb
 scipy
 pre-commit
 typing-extensions
diff --git a/doc/jupyter_execute/core_py_ops.ipynb b/doc/jupyter_execute/core_py_ops.ipynb
new file mode 100644
index 000000000..58bb93e09
--- /dev/null
+++ b/doc/jupyter_execute/core_py_ops.ipynb
@@ -0,0 +1,295 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d1ed8b4e",
+   "metadata": {},
+   "source": [
+    "(core-py-ops)=\n",
+    "# Support of pythonic operators\n",
+    "\n",
+    "GeoUtils integrates most of Python's operators for shorter, more intuitive code to consistently perform arithmetic and logical operations.\n",
+    " \n",
+    "Pythonic operators work on {class}`~geoutils.Raster` much as they would on {class}`~numpy.ndarray`, with some more details.\n",
+    "\n",
+    "## Arithmetic of {class}`~geoutils.Raster` classes\n",
+    "\n",
+    "Arithmetic operators (+, -, /, //, *, **, %) can be used on a {class}`~geoutils.Raster` in combination with any other {class}`~geoutils.Raster`, {class}`~numpy.\n",
+    "ndarray` or number.\n",
+    "\n",
+    "For an operation with another {class}`~geoutils.Raster`, the georeferencing ({attr}`~geoutils.Raster.crs` and {attr}`~geoutils.Raster.transform`) must match. \n",
+    "For another {class}`~numpy.ndarray`, the {attr}`~geoutils.Raster.shape` must match. The operation always returns a {class}`~geoutils.Raster`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "29de0559",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Raster(\n",
+       "  data=[[[102 -- --]\n",
+       "         [-- 179 61]\n",
+       "         [234 203 --]]]\n",
+       "transform=| 0.33, 0.00, 0.00|\n",
+       "          | 0.00,-0.33, 1.00|\n",
+       "          | 0.00, 0.00, 1.00|\n",
+       "crs=None\n",
+       "nodata=None"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import geoutils as gu\n",
+    "import rasterio as rio\n",
+    "import numpy as np\n",
+    "\n",
+    "# Create a random 3 x 3 masked array\n",
+    "np.random.seed(42)\n",
+    "arr = np.random.randint(0, 255, size=(3, 3), dtype=\"uint8\")\n",
+    "mask = np.random.randint(0, 2, size=(3, 3), dtype=\"bool\")\n",
+    "ma = np.ma.masked_array(data=arr, mask=mask)\n",
+    "\n",
+    "# Create an example Raster with only a transform\n",
+    "raster = gu.Raster.from_array(\n",
+    "        data = ma,\n",
+    "        transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),\n",
+    "        crs=None\n",
+    "    )\n",
+    "\n",
+    "raster"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "7f363e0c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Raster(\n",
+       "  data=[[[103 -- --]\n",
+       "         [-- 180 62]\n",
+       "         [235 204 --]]]\n",
+       "transform=| 0.33, 0.00, 0.00|\n",
+       "          | 0.00,-0.33, 1.00|\n",
+       "          | 0.00, 0.00, 1.00|\n",
+       "crs=None\n",
+       "nodata=None"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Arithmetic with a number\n",
+    "raster + 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "f1afca04",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Raster(\n",
+       "  data=[[[1.0 -- --]\n",
+       "         [-- 1.0 1.0]\n",
+       "         [1.0 1.0 --]]]\n",
+       "transform=| 0.33, 0.00, 0.00|\n",
+       "          | 0.00,-0.33, 1.00|\n",
+       "          | 0.00, 0.00, 1.00|\n",
+       "crs=None\n",
+       "nodata=None"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Arithmetic with an array\n",
+    "raster / arr\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "31186cf5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Raster(\n",
+       "  data=[[[91.90049506163793 -- --]\n",
+       "         [-- 165.62091183974036 53.189750324093346]\n",
+       "         [218.70294145922165 188.752193151225 --]]]\n",
+       "transform=| 0.33, 0.00, 0.00|\n",
+       "          | 0.00,-0.33, 1.00|\n",
+       "          | 0.00, 0.00, 1.00|\n",
+       "crs=None\n",
+       "nodata=None"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Arithmetic with a raster\n",
+    "raster - (raster**0.5)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8a62d81a",
+   "metadata": {},
+   "source": [
+    "If an unmasked {class}`~numpy.ndarray` is passed, it will internally be cast into a {class}`~numpy.ma.MaskedArray` to respect the propagation of \n",
+    "{class}`~geoutils.Raster.nodata` values. Additionally, the {attr}`~geoutils.Raster.dtypes` are also reconciled as they would for {class}`~numpy.ndarray`, \n",
+    "following [standard NumPy coercion rules](https://numpy.org/doc/stable/reference/generated/numpy.find_common_type.html).\n",
+    "\n",
+    "## Logical comparisons cast to {class}`~geoutils.Mask`\n",
+    "\n",
+    "Logical comparison operators (==, !=, >=, >, <=, <) can be used on a {class}`~geoutils.Raster`, also in combination with any other {class}`~geoutils.Raster`, \n",
+    "{class}`~numpy.ndarray` or number.\n",
+    "\n",
+    "Those operation always return a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster` with a boolean {class}`~numpy.ma.MaskedArray` \n",
+    "as {class}`~geoutils.Raster.data`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "4e8aa41a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Mask(\n",
+       "  data=[[[True -- --]\n",
+       "         [-- True False]\n",
+       "         [True True --]]]\n",
+       "transform=| 0.33, 0.00, 0.00|\n",
+       "          | 0.00,-0.33, 1.00|\n",
+       "          | 0.00, 0.00, 1.00|\n",
+       "crs=None"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Logical comparison with a number\n",
+    "mask = raster > 100\n",
+    "mask"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2d8d4173",
+   "metadata": {},
+   "source": [
+    "```{note}\n",
+    "A {class}`~geoutils.Mask`'s {attr}`~geoutils.Raster.data` remains a {class}`~numpy.ma.MaskedArray`. Therefore, it still maps unvalid values through its \n",
+    "{attr}`~numpy.ma.MaskedArray.mask`, but has no associated {attr}`~geoutils.Raster.nodata`.\n",
+    "```\n",
+    "\n",
+    "## Logical bitwise operations on {class}`~geoutils.Mask`\n",
+    "\n",
+    "Logical bitwise operators (~, &, |, ^) can be used to combine a {class}`~geoutils.Mask` with another {class}`~geoutils.Mask`, and always output a {class}`~geoutils.Mask`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "2217b60f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Mask(\n",
+       "  data=[[[True -- --]\n",
+       "         [-- False False]\n",
+       "         [True False --]]]\n",
+       "transform=| 0.33, 0.00, 0.00|\n",
+       "          | 0.00,-0.33, 1.00|\n",
+       "          | 0.00, 0.00, 1.00|\n",
+       "crs=None"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Logical bitwise operation between masks\n",
+    "mask = (raster > 100) & ((raster % 2) == 0)\n",
+    "mask"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3ff6fbb0",
+   "metadata": {},
+   "source": [
+    "## Indexing a {class}`~geoutils.Raster` with a {class}`~geoutils.Mask`"
+   ]
+  }
+ ],
+ "metadata": {
+  "file_format": "mystnb",
+  "kernelspec": {
+   "display_name": "geoutils",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.8"
+  },
+  "source_map": [
+   5,
+   22,
+   43,
+   48,
+   53,
+   56,
+   70,
+   74,
+   85,
+   89
+  ]
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
\ No newline at end of file
diff --git a/doc/source/conf.py b/doc/source/conf.py
index b03fb06bc..58e16bca2 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -36,9 +36,12 @@
     "sphinxcontrib.programoutput",
     "sphinx_gallery.gen_gallery",  # Examples gallery
     "sphinx.ext.intersphinx",
-    "myst_parser",  # Form of Markdown that works with sphinx, used a lot by the Sphinx Book Theme
+    # "myst_parser",  !! Not needed with myst_nb !! # Form of Markdown that works with sphinx, used a lot by the Sphinx Book Theme
+    "myst_nb" # MySt for rendering Jupyter notebook in documentation
 ]
 
+nb_kernel_rgx_aliases = {".*geoutils.*": "python3"}
+
 intersphinx_mapping = {
     "rasterio": ("https://rasterio.readthedocs.io/en/latest", None),
     "numpy": ("https://numpy.org/doc/stable", None),
diff --git a/doc/source/core_array_funcs.md b/doc/source/core_array_funcs.md
index c89bd9a9c..19ca7b1b2 100644
--- a/doc/source/core_array_funcs.md
+++ b/doc/source/core_array_funcs.md
@@ -1,3 +1,13 @@
 (core-array-funcs)=
 
 # Masked-array NumPy interface
+
+NumPy possesses an [array interface](https://numpy.org/doc/stable/reference/arrays.interface.html) that allows to properly map their functions on objects 
+that depend on a {class}`~numpy.ndarray`.
+
+GeoUtils integrates this interface to work with any {class}`~geoutils.Raster` and their subclasses.
+
+## Universal functions
+
+The first category of NumPy functions that can be applied are [universal functions](https://numpy.org/doc/stable/reference/ufuncs.html) and 
+most other NumPy array functions, while logically casting `dtypes` and respecting `.nodata` values.
\ No newline at end of file
diff --git a/doc/source/core_py_ops.md b/doc/source/core_py_ops.md
index a25bb9f47..0fb8afe6b 100644
--- a/doc/source/core_py_ops.md
+++ b/doc/source/core_py_ops.md
@@ -1,3 +1,91 @@
-(core-py-ops)=
+---
+file_format: mystnb
+kernelspec:
+  name: geoutils
+---
 
+(core-py-ops)=
 # Support of pythonic operators
+
+GeoUtils integrates most of Python's operators for shorter, more intuitive code to consistently perform arithmetic and logical operations.
+ 
+Pythonic operators work on {class}`~geoutils.Raster` much as they would on {class}`~numpy.ndarray`, with some more details.
+
+## Arithmetic of {class}`~geoutils.Raster` classes
+
+Arithmetic operators (+, -, /, //, *, **, %) can be used on a {class}`~geoutils.Raster` in combination with any other {class}`~geoutils.Raster`, {class}`~numpy.
+ndarray` or number.
+
+For an operation with another {class}`~geoutils.Raster`, the georeferencing ({attr}`~geoutils.Raster.crs` and {attr}`~geoutils.Raster.transform`) must match. 
+For another {class}`~numpy.ndarray`, the {attr}`~geoutils.Raster.shape` must match. The operation always returns a {class}`~geoutils.Raster`.
+
+```{code-cell} ipython3
+import geoutils as gu
+import rasterio as rio
+import numpy as np
+
+# Create a random 3 x 3 masked array
+np.random.seed(42)
+arr = np.random.randint(0, 255, size=(3, 3), dtype="uint8")
+mask = np.random.randint(0, 2, size=(3, 3), dtype="bool")
+ma = np.ma.masked_array(data=arr, mask=mask)
+
+# Create an example Raster with only a transform
+raster = gu.Raster.from_array(
+        data = ma,
+        transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),
+        crs = None
+    )
+
+raster
+```
+
+```{code-cell} ipython3
+# Arithmetic with a number
+raster + 1
+```
+
+```{code-cell} ipython3
+# Arithmetic with an array
+raster / arr
+
+```
+```{code-cell} ipython3
+# Arithmetic with a raster
+raster - (raster**0.5)
+```
+
+If an unmasked {class}`~numpy.ndarray` is passed, it will internally be cast into a {class}`~numpy.ma.MaskedArray` to respect the propagation of 
+{class}`~geoutils.Raster.nodata` values. Additionally, the {attr}`~geoutils.Raster.dtypes` are also reconciled as they would for {class}`~numpy.ndarray`, 
+following [standard NumPy coercion rules](https://numpy.org/doc/stable/reference/generated/numpy.find_common_type.html).
+
+## Logical comparisons cast to {class}`~geoutils.Mask`
+
+Logical comparison operators (==, !=, >=, >, <=, <) can be used on a {class}`~geoutils.Raster`, also in combination with any other {class}`~geoutils.Raster`, 
+{class}`~numpy.ndarray` or number.
+
+Those operation always return a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster` with a boolean {class}`~numpy.ma.MaskedArray` 
+as {class}`~geoutils.Raster.data`.
+
+```{code-cell} ipython3
+# Logical comparison with a number
+mask = raster > 100
+mask
+```
+
+```{note}
+A {class}`~geoutils.Mask`'s {attr}`~geoutils.Raster.data` remains a {class}`~numpy.ma.MaskedArray`. Therefore, it still maps unvalid values through its 
+{attr}`~numpy.ma.MaskedArray.mask`, but has no associated {attr}`~geoutils.Raster.nodata`.
+```
+
+## Logical bitwise operations on {class}`~geoutils.Mask`
+
+Logical bitwise operators (~, &, |, ^) can be used to combine a {class}`~geoutils.Mask` with another {class}`~geoutils.Mask`, and always output a {class}`~geoutils.Mask`.
+
+```{code-cell} ipython3
+# Logical bitwise operation between masks
+mask = (raster > 100) & ((raster % 2) == 0)
+mask
+```
+
+## Indexing a {class}`~geoutils.Raster` with a {class}`~geoutils.Mask`
\ No newline at end of file
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index c19ea926d..6107d213f 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -79,7 +79,7 @@ Using {func}`~geoutils.Raster.polygonize` allows to generate a {class}`~geoutils
 
 ## Pythonic arithmetic and NumPy interface
 
-All {class}`~geoutils.Raster` objects support Python arithmetic (+, -, /, //, *, ^, %) with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or 
+All {class}`~geoutils.Raster` objects support Python arithmetic (+, -, /, //, *, **, %) with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or 
 number. For other {class}`~geoutils.Raster`, the georeferencing must match, while only the shape for other {class}`~numpy.ndarray`.
 
 ```{literalinclude} code/index_example.py
@@ -97,8 +97,8 @@ most other NumPy array functions, while logically casting `dtypes` and respectin
 
 ## Casting to {class}`~geoutils.Mask`, indexing and overload
 
-All {class}`~geoutils.Raster` classes also support Python logical operators (==, !=, >=, >, <=, <), or more complex NumPy logical functions. Those operations 
-automatically casts them into a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster`.
+All {class}`~geoutils.Raster` classes also support Python logical comparison operators (==, !=, >=, >, <=, <), or more complex NumPy logical functions. Those 
+operations automatically casts them into a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster`.
 
 
 ```{literalinclude} code/index_example.py
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 712397cce..874a7af28 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -590,16 +590,26 @@ def to_rio_dataset(self) -> rio.io.DatasetReader:
         return mfh.open()
 
     def __repr__(self) -> str:
-        """Convert object to formal string representation."""
-        return self.__str__()
+        """Convert formal Raster string representation."""
+
+        # Align left spaces for multi-line object representation (arrays) after return to lines
+        s = "Raster(\n"+\
+            "  data=" + "\n       ".join(self.data.__str__().split("\n"))+\
+            "\ntransform="+ "\n          ".join(self.transform.__str__().split("\n"))+\
+            "\ncrs=" + self.crs.__str__()+\
+            "\nnodata=" + self.nodata.__str__()
+
+        return s
         # L = [getattr(self, item) for item in self._saved_attrs]
         # s: str = "{}.{}({})".format(type(self).__module__, type(self).__qualname__, ", ".join(map(str, L)))
 
         # return s
 
     def __str__(self) -> str:
-        """Provide string of information about Raster."""
-        return self.info()
+        """Provide simplified string for print() about Raster."""
+        s = self.data.__str__()
+
+        return s
 
     def __getitem__(self, value: Raster | Vector | list[float] | tuple[float, ...]) -> np.ndarray | Raster:
         """Subset the Raster object: calls the crop method with default parameters"""
@@ -2790,6 +2800,7 @@ def proximity(
 
 # Subclass Mask for manipulating boolean Rasters
 class Mask(Raster):
+
     def __init__(
         self,
         filename_or_dataset: str | RasterType | rio.io.DatasetReader | rio.io.MemoryFile | dict[str, Any],
@@ -2822,6 +2833,17 @@ def __init__(
             # Define in dtypes
             self._dtypes = (bool,)
 
+    def __repr__(self) -> str:
+        """Convert formal Raster string representation."""
+
+        # Over-ride Raster's method to remove nodata value (always None)
+        s = "Mask(\n"+\
+            "  data=" + "\n       ".join(self.data.__str__().split("\n"))+\
+            "\ntransform="+ "\n          ".join(self.transform.__str__().split("\n"))+\
+            "\ncrs=" + self.crs.__str__()
+
+        return s
+
     def reproject(
         self: Mask,
         dst_ref: RasterType | rio.io.Dataset | str | None = None,
@@ -2932,29 +2954,29 @@ def polygonize(
         self._data = self.data.astype("uint8")
         return super().polygonize(in_value=in_value)
 
-    # Logical operations between mask objects: scale to the entire mask
+    # Logical bitwise operations
     def __and__(self: Mask, other: Mask) -> Mask:
 
         return self.from_array(
-            data=np.logical_and(self.data, other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
+            data=(self.data & other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
         )
 
     def __or__(self: Mask, other: Mask) -> Mask:
 
         return self.from_array(
-            data=np.logical_or(self.data, other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
+            data=(self.data | other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
         )
 
     def __xor__(self: Mask, other: Mask) -> Mask:
 
         return self.from_array(
-            data=np.logical_xor(self.data, other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
+            data=(self.data ^ other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
         )
 
     def __invert__(self: Mask) -> Mask:
 
         return self.from_array(
-            data=np.logical_not(self.data), transform=self.transform, crs=self.crs, nodata=self.nodata
+            data=~self.data, transform=self.transform, crs=self.crs, nodata=self.nodata
         )
 
 

From aacae89823b39d4562994c246ab2f32a306e6b0d Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 15 Feb 2023 13:24:38 -0800
Subject: [PATCH 025/184] Remove jupyter myst folder

---
 .gitignore                            |   3 +
 doc/jupyter_execute/core_py_ops.ipynb | 295 --------------------------
 2 files changed, 3 insertions(+), 295 deletions(-)
 delete mode 100644 doc/jupyter_execute/core_py_ops.ipynb

diff --git a/.gitignore b/.gitignore
index 0303cd60a..2d09d8b18 100644
--- a/.gitignore
+++ b/.gitignore
@@ -146,3 +146,6 @@ doc/source/gen_modules/
 
 # Directories where example data is downloaded
 examples/data/
+
+# Directory where myst_nb executes jupyter code
+doc/jupyter_execute/
diff --git a/doc/jupyter_execute/core_py_ops.ipynb b/doc/jupyter_execute/core_py_ops.ipynb
deleted file mode 100644
index 58bb93e09..000000000
--- a/doc/jupyter_execute/core_py_ops.ipynb
+++ /dev/null
@@ -1,295 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "d1ed8b4e",
-   "metadata": {},
-   "source": [
-    "(core-py-ops)=\n",
-    "# Support of pythonic operators\n",
-    "\n",
-    "GeoUtils integrates most of Python's operators for shorter, more intuitive code to consistently perform arithmetic and logical operations.\n",
-    " \n",
-    "Pythonic operators work on {class}`~geoutils.Raster` much as they would on {class}`~numpy.ndarray`, with some more details.\n",
-    "\n",
-    "## Arithmetic of {class}`~geoutils.Raster` classes\n",
-    "\n",
-    "Arithmetic operators (+, -, /, //, *, **, %) can be used on a {class}`~geoutils.Raster` in combination with any other {class}`~geoutils.Raster`, {class}`~numpy.\n",
-    "ndarray` or number.\n",
-    "\n",
-    "For an operation with another {class}`~geoutils.Raster`, the georeferencing ({attr}`~geoutils.Raster.crs` and {attr}`~geoutils.Raster.transform`) must match. \n",
-    "For another {class}`~numpy.ndarray`, the {attr}`~geoutils.Raster.shape` must match. The operation always returns a {class}`~geoutils.Raster`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "29de0559",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Raster(\n",
-       "  data=[[[102 -- --]\n",
-       "         [-- 179 61]\n",
-       "         [234 203 --]]]\n",
-       "transform=| 0.33, 0.00, 0.00|\n",
-       "          | 0.00,-0.33, 1.00|\n",
-       "          | 0.00, 0.00, 1.00|\n",
-       "crs=None\n",
-       "nodata=None"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import geoutils as gu\n",
-    "import rasterio as rio\n",
-    "import numpy as np\n",
-    "\n",
-    "# Create a random 3 x 3 masked array\n",
-    "np.random.seed(42)\n",
-    "arr = np.random.randint(0, 255, size=(3, 3), dtype=\"uint8\")\n",
-    "mask = np.random.randint(0, 2, size=(3, 3), dtype=\"bool\")\n",
-    "ma = np.ma.masked_array(data=arr, mask=mask)\n",
-    "\n",
-    "# Create an example Raster with only a transform\n",
-    "raster = gu.Raster.from_array(\n",
-    "        data = ma,\n",
-    "        transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),\n",
-    "        crs=None\n",
-    "    )\n",
-    "\n",
-    "raster"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "7f363e0c",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Raster(\n",
-       "  data=[[[103 -- --]\n",
-       "         [-- 180 62]\n",
-       "         [235 204 --]]]\n",
-       "transform=| 0.33, 0.00, 0.00|\n",
-       "          | 0.00,-0.33, 1.00|\n",
-       "          | 0.00, 0.00, 1.00|\n",
-       "crs=None\n",
-       "nodata=None"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Arithmetic with a number\n",
-    "raster + 1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "f1afca04",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Raster(\n",
-       "  data=[[[1.0 -- --]\n",
-       "         [-- 1.0 1.0]\n",
-       "         [1.0 1.0 --]]]\n",
-       "transform=| 0.33, 0.00, 0.00|\n",
-       "          | 0.00,-0.33, 1.00|\n",
-       "          | 0.00, 0.00, 1.00|\n",
-       "crs=None\n",
-       "nodata=None"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Arithmetic with an array\n",
-    "raster / arr\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "31186cf5",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Raster(\n",
-       "  data=[[[91.90049506163793 -- --]\n",
-       "         [-- 165.62091183974036 53.189750324093346]\n",
-       "         [218.70294145922165 188.752193151225 --]]]\n",
-       "transform=| 0.33, 0.00, 0.00|\n",
-       "          | 0.00,-0.33, 1.00|\n",
-       "          | 0.00, 0.00, 1.00|\n",
-       "crs=None\n",
-       "nodata=None"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Arithmetic with a raster\n",
-    "raster - (raster**0.5)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "8a62d81a",
-   "metadata": {},
-   "source": [
-    "If an unmasked {class}`~numpy.ndarray` is passed, it will internally be cast into a {class}`~numpy.ma.MaskedArray` to respect the propagation of \n",
-    "{class}`~geoutils.Raster.nodata` values. Additionally, the {attr}`~geoutils.Raster.dtypes` are also reconciled as they would for {class}`~numpy.ndarray`, \n",
-    "following [standard NumPy coercion rules](https://numpy.org/doc/stable/reference/generated/numpy.find_common_type.html).\n",
-    "\n",
-    "## Logical comparisons cast to {class}`~geoutils.Mask`\n",
-    "\n",
-    "Logical comparison operators (==, !=, >=, >, <=, <) can be used on a {class}`~geoutils.Raster`, also in combination with any other {class}`~geoutils.Raster`, \n",
-    "{class}`~numpy.ndarray` or number.\n",
-    "\n",
-    "Those operation always return a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster` with a boolean {class}`~numpy.ma.MaskedArray` \n",
-    "as {class}`~geoutils.Raster.data`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "4e8aa41a",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Mask(\n",
-       "  data=[[[True -- --]\n",
-       "         [-- True False]\n",
-       "         [True True --]]]\n",
-       "transform=| 0.33, 0.00, 0.00|\n",
-       "          | 0.00,-0.33, 1.00|\n",
-       "          | 0.00, 0.00, 1.00|\n",
-       "crs=None"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Logical comparison with a number\n",
-    "mask = raster > 100\n",
-    "mask"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2d8d4173",
-   "metadata": {},
-   "source": [
-    "```{note}\n",
-    "A {class}`~geoutils.Mask`'s {attr}`~geoutils.Raster.data` remains a {class}`~numpy.ma.MaskedArray`. Therefore, it still maps unvalid values through its \n",
-    "{attr}`~numpy.ma.MaskedArray.mask`, but has no associated {attr}`~geoutils.Raster.nodata`.\n",
-    "```\n",
-    "\n",
-    "## Logical bitwise operations on {class}`~geoutils.Mask`\n",
-    "\n",
-    "Logical bitwise operators (~, &, |, ^) can be used to combine a {class}`~geoutils.Mask` with another {class}`~geoutils.Mask`, and always output a {class}`~geoutils.Mask`."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "2217b60f",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Mask(\n",
-       "  data=[[[True -- --]\n",
-       "         [-- False False]\n",
-       "         [True False --]]]\n",
-       "transform=| 0.33, 0.00, 0.00|\n",
-       "          | 0.00,-0.33, 1.00|\n",
-       "          | 0.00, 0.00, 1.00|\n",
-       "crs=None"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "# Logical bitwise operation between masks\n",
-    "mask = (raster > 100) & ((raster % 2) == 0)\n",
-    "mask"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3ff6fbb0",
-   "metadata": {},
-   "source": [
-    "## Indexing a {class}`~geoutils.Raster` with a {class}`~geoutils.Mask`"
-   ]
-  }
- ],
- "metadata": {
-  "file_format": "mystnb",
-  "kernelspec": {
-   "display_name": "geoutils",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.10.8"
-  },
-  "source_map": [
-   5,
-   22,
-   43,
-   48,
-   53,
-   56,
-   70,
-   74,
-   85,
-   89
-  ]
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
\ No newline at end of file

From 19035d97841448f1237c1bf0f231cca9375040c6 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 15 Feb 2023 16:34:21 -0800
Subject: [PATCH 026/184] Incremental commit on doc

---
 doc/source/core_array_funcs.md | 100 +++++++++++++++++++++++++++++++--
 doc/source/core_composition.md |  38 +++++++++++--
 doc/source/core_match_ref.md   |   4 +-
 doc/source/core_py_ops.md      |  24 ++++++--
 doc/source/quick_start.md      |   4 +-
 geoutils/georaster/raster.py   |  14 ++---
 6 files changed, 160 insertions(+), 24 deletions(-)

diff --git a/doc/source/core_array_funcs.md b/doc/source/core_array_funcs.md
index 19ca7b1b2..cac7cddce 100644
--- a/doc/source/core_array_funcs.md
+++ b/doc/source/core_array_funcs.md
@@ -1,13 +1,105 @@
+---
+file_format: mystnb
+kernelspec:
+  name: geoutils
+---
 (core-array-funcs)=
 
 # Masked-array NumPy interface
 
 NumPy possesses an [array interface](https://numpy.org/doc/stable/reference/arrays.interface.html) that allows to properly map their functions on objects 
-that depend on a {class}`~numpy.ndarray`.
+that depend on {class}`ndarrays<numpy.ndarray>`.
 
-GeoUtils integrates this interface to work with any {class}`~geoutils.Raster` and their subclasses.
+GeoUtils integrates this interface to work with all {class}`Rasters<geoutils.Raster>` and their subclasses.
 
 ## Universal functions
 
-The first category of NumPy functions that can be applied are [universal functions](https://numpy.org/doc/stable/reference/ufuncs.html) and 
-most other NumPy array functions, while logically casting `dtypes` and respecting `.nodata` values.
\ No newline at end of file
+A first category of NumPy functions supported by {class}`Rasters<geoutils.Raster>` through the array interface is that of  
+[universal functions](https://numpy.org/doc/stable/reference/ufuncs.html), which operate on {class}`ndarrays<numpy.ndarray>` in an element-by-element 
+fashion. Examples of such functions are {func}`~numpy.add`, {func}`~numpy.absolute`, {func}`~numpy.isnan` or {func}`~numpy.sin`, and they number at more 
+than 90.
+
+Universal functions can take one or two inputs, and return one or two outputs. Through GeoUtils, as long as one of the two inputs is a {class}`Rasters<geoutils.Raster>`, 
+the output will be a {class}`~geoutils.Raster`. If there is a second input, it can be a {class}`~geoutils.Raster` or {class}`~numpy.ndarray` with
+matching georeferencing or shape, respectively.
+
+These functions inherently support the casting of different {attr}`~geoutils.Raster.dtypes` and values masked by {attr}`~geoutils.Raster.nodata` in the 
+{class}`~numpy.ma.MaskedArray`.
+
+Below, we re-use the same example created in {ref}`core-py-ops`.
+
+```{code-cell} ipython3
+:tags: [hide-input, hide-output]
+
+import geoutils as gu
+import rasterio as rio
+import numpy as np
+
+# Create a random 3 x 3 masked array
+np.random.seed(42)
+arr = np.random.randint(0, 255, size=(3, 3), dtype="uint8")
+mask = np.random.randint(0, 2, size=(3, 3), dtype="bool")
+ma = np.ma.masked_array(data=arr, mask=mask)
+
+# Create an example Raster with only a transform
+raster = gu.Raster.from_array(
+        data = ma,
+        transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),
+        crs = None
+    )
+raster
+```
+
+```{code-cell} ipython3
+# Universal function with a single input and output
+np.sin(raster)
+```
+
+```{code-cell} ipython3
+# Universal function with a two inputs and single output
+np.add(arr, raster)
+```
+
+```{code-cell} ipython3
+# Universal function with a single input and two outputs
+np.modf(raster)
+```
+
+Similar to with Python operators, NumPy's [logical comparison functions](https://numpy.org/doc/stable/reference/ufuncs.html#comparison-functions) cast 
+{class}`Rasters<geoutils.Raster>` to a {class}`~geoutils.Mask`.
+
+```{code-cell} ipython3
+# Universal function with a single input and two outputs
+np.greater(raster, raster + np.random.normal(size=np.shape(arr)))
+```
+
+## Array functions
+
+The second and last category of NumPy array functions supported by {class}`Rasters<geoutils.Raster>` through the array interface is that of array functions, 
+which are all other non-universal functions that can be applied to an array. Those function always modify the dimensionality of the output, such as 
+{func}`~numpy.mean`, {func}`~numpy.count_nonzero` or {func}`~numpy.nanmax`. Consequently, the output is the same as it would be with {class}`ndarrays<numpy.ndarray>`.
+
+
+```{code-cell} ipython3
+# Traditional mathematical function
+np.max(raster)
+```
+
+```{code-cell} ipython3
+# Masked-array function
+np.ma.median(raster)
+```
+
+```{code-cell} ipython3
+# Expliciting an axis for reduction
+np.count_nonzero(raster, axis=2)
+```
+
+
+Not all array functions are supported, however. GeoUtils supports nearly all [mathematical functions](https://numpy.org/doc/stable/reference/routines.math.html),
+[masked-array functions](https://numpy.org/doc/stable/reference/routines.ma.html) and [logical functions](https://numpy.org/doc/stable/reference/routines.logic.html). 
+A full list of supported array function is available in {attr}`geoutils.georaster.raster.handled_array_funcs`.
+
+## Respecting masked values
+
+TODO: finalize once masked-array recursion bug is fixed
\ No newline at end of file
diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
index f79e15803..78377236b 100644
--- a/doc/source/core_composition.md
+++ b/doc/source/core_composition.md
@@ -1,10 +1,15 @@
+---
+file_format: mystnb
+kernelspec:
+  name: geoutils
+---
 (core-composition)=
 
 # Composition from Rasterio and GeoPandas
 
 ## A composition framework
 
-GeoUtil's main classes {class}`~geoutils.Raster` and {class}`~geoutils.Vector` are linked to [Rasterio](https://rasterio.readthedocs.io/en/latest/) and
+GeoUtils' main classes {class}`~geoutils.Raster` and {class}`~geoutils.Vector` are linked to [Rasterio](https://rasterio.readthedocs.io/en/latest/) and
 [GeoPandas](https://geopandas.org/en/stable/docs.html), respectively, through class composition. 
 
 They directly rely on their robust geospatial handling functionalities, as well of that of [PyProj](https://pyproj4.github.io/pyproj/stable/index.html), and 
@@ -14,15 +19,32 @@ add a layer on top for interfacing between rasters and vectors with higher-level
 
 The {class}`~geoutils.Raster` is a composition class with **four main attributes**:
 
-1. a {class}`numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`, 
-2. a {class}`pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`, 
-3. an {class}`affine.Affine` as {attr}`~geoutils.Raster.transform`, and 
+1. a {class}`numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`,
+2. an {class}`affine.Affine` as {attr}`~geoutils.Raster.transform`
+3. a {class}`pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`, and
 4. a {class}`float` or {class}`int` as {attr}`~geoutils.Raster.nodata`.
 
+```{code-cell} ipython3
+:tags: [hide-output]
+
+import geoutils as gu
+
+# Initiate a Raster from disk
+raster = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+raster
+```
+
 From these **four main attributes**, many other derivatives attributes exist, such as {attr}`~geoutils.Raster.bounds` or {attr}`~geoutils.Raster.res` to 
 describe georeferencing. When a {class}`~geoutils.Raster` is based on an **on-disk** dataset, other attributes exist such as {attr}`~geoutils.Raster.
 name` or {attr}`~geoutils.Raster.driver`.
 
+```{code-cell} ipython3
+:tags: [hide-output]
+
+# Show summarized information
+print(raster.info())
+```
+
 ```{important}
 The {class}`~geoutils.Raster` is not a composition of either a {class}`rasterio.DatasetReader`, a {class}`rasterio.MemoryFile` or a {class}`rasterio.DatasetWriter`. 
 It is only linked to those objects to initiate a {class}`~geoutils.Raster` instance which first loads the metadata (notably the three main metadata attributes 
@@ -48,3 +70,11 @@ A {class}`~geoutils.Vector` is a composition class with a single main attribute:
 Because lazy loading is a lesser priority with vector data, a {class}`~geoutils.Vector` directly loads its {attr}`~geoutils.Vector.ds`. Besides, many 
 higher-level geospatial methods are already available in {class}`~geopandas.GeoDataFrame`. We thus only wrap those directly into {class}`~geoutils.Vector`, 
 in order to easily call them from the vector object, and build additional methods on top.
+
+```{code-cell} ipython3
+:tags: [hide-output]
+
+# Initiate a Vector from disk
+vector = examples.get_path("exploradores_rgi_outlines")
+vector
+```
diff --git a/doc/source/core_match_ref.md b/doc/source/core_match_ref.md
index f112c0b05..84b91eeab 100644
--- a/doc/source/core_match_ref.md
+++ b/doc/source/core_match_ref.md
@@ -18,10 +18,10 @@ operation.
 
 ## Matching with a {class}`~geoutils.Raster` or a {class}`~geoutils.Vector` reference
 
-The rules of using match-reference with a {class}`~geoutils.Raster` or a {class}`~geoutils.Vector` are always the same.
+The rules of using match-reference with a {class}`~geoutils.Raster` or a {class}`~geoutils.Vector` are always the same:
 
  - If the **reference** passed is a {class}`~geoutils.Vector`, it can enforce a matching of its {attr}`~geoutils.Vector.bounds` and/or of its {attr}`~geoutils.Vector.crs` (its only two 
-   georeferencing characteristics),
+   georeferencing attributes),
  - If the **reference** is a {class}`~geoutils.Raster`, it can also enforce a matching of any aspect of its {attr}`~geoutils.Raster.transform` (i.e, its 
    {attr}`~geoutils.Raster.res`, {attr}`~geoutils.Raster.bounds` or {attr}`~geoutils.Raster.shape`) and/or of its {attr}`~geoutils.Raster.crs`.
 
diff --git a/doc/source/core_py_ops.md b/doc/source/core_py_ops.md
index 0fb8afe6b..b1cdc4d36 100644
--- a/doc/source/core_py_ops.md
+++ b/doc/source/core_py_ops.md
@@ -13,8 +13,8 @@ Pythonic operators work on {class}`~geoutils.Raster` much as they would on {clas
 
 ## Arithmetic of {class}`~geoutils.Raster` classes
 
-Arithmetic operators (+, -, /, //, *, **, %) can be used on a {class}`~geoutils.Raster` in combination with any other {class}`~geoutils.Raster`, {class}`~numpy.
-ndarray` or number.
+Arithmetic operators (`+`, `-`, `/`, `//`, `*`, `**`, `%`) can be used on a {class}`~geoutils.Raster` in combination with any other {class}`~geoutils.Raster`, 
+{class}`~numpy.ndarray` or number.
 
 For an operation with another {class}`~geoutils.Raster`, the georeferencing ({attr}`~geoutils.Raster.crs` and {attr}`~geoutils.Raster.transform`) must match. 
 For another {class}`~numpy.ndarray`, the {attr}`~geoutils.Raster.shape` must match. The operation always returns a {class}`~geoutils.Raster`.
@@ -61,7 +61,7 @@ following [standard NumPy coercion rules](https://numpy.org/doc/stable/reference
 
 ## Logical comparisons cast to {class}`~geoutils.Mask`
 
-Logical comparison operators (==, !=, >=, >, <=, <) can be used on a {class}`~geoutils.Raster`, also in combination with any other {class}`~geoutils.Raster`, 
+Logical comparison operators (`==`, `!=`, `>=`, `>`, `<=`, `<`) can be used on a {class}`~geoutils.Raster`, also in combination with any other {class}`~geoutils.Raster`, 
 {class}`~numpy.ndarray` or number.
 
 Those operation always return a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster` with a boolean {class}`~numpy.ma.MaskedArray` 
@@ -80,7 +80,7 @@ A {class}`~geoutils.Mask`'s {attr}`~geoutils.Raster.data` remains a {class}`~num
 
 ## Logical bitwise operations on {class}`~geoutils.Mask`
 
-Logical bitwise operators (~, &, |, ^) can be used to combine a {class}`~geoutils.Mask` with another {class}`~geoutils.Mask`, and always output a {class}`~geoutils.Mask`.
+Logical bitwise operators (`~`, `&`, `|`, `^`) can be used to combine a {class}`~geoutils.Mask` with another {class}`~geoutils.Mask`, and always output a {class}`~geoutils.Mask`.
 
 ```{code-cell} ipython3
 # Logical bitwise operation between masks
@@ -88,4 +88,18 @@ mask = (raster > 100) & ((raster % 2) == 0)
 mask
 ```
 
-## Indexing a {class}`~geoutils.Raster` with a {class}`~geoutils.Mask`
\ No newline at end of file
+## Indexing a {class}`~geoutils.Raster` with a {class}`~geoutils.Mask`
+
+Finally, indexing and index assignment operations (`[]`, `[] = `) are both supported by {class}`Rasters<geoutils.Raster>`. 
+
+For indexing, they can be passed either a {class}`~geoutils.Mask` with the same georeferencing, or a boolean {class}`~numpy.ndarray` of the same shape. 
+For assignment, either a {class}`~geoutils.Raster` with the same georeferencing, or any {class}`~numpy.ndarray` of the same shape is expected.
+
+When indexing, a flattened {class}`~numpy.ma.MaskedArray` is returned with the indexed values of the {class}`~geoutils.Mask` **excluding those masked in its 
+{class}`~geoutils.Raster.data`'s {class}`~numpy.ma.MaskedArray` (i.e. nodata values present during logical comparison)**. To bypass this behaviour, simply 
+index without the mask using {attr}`<Mask.data.data>`.
+
+```{code-cell} ipython3
+# Indexing the raster with the previous mask
+raster[mask]
+```
\ No newline at end of file
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index 6107d213f..37cb59e53 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -79,7 +79,7 @@ Using {func}`~geoutils.Raster.polygonize` allows to generate a {class}`~geoutils
 
 ## Pythonic arithmetic and NumPy interface
 
-All {class}`~geoutils.Raster` objects support Python arithmetic (+, -, /, //, *, **, %) with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or 
+All {class}`~geoutils.Raster` objects support Python arithmetic (`+`, `-`, `/`, `//`, `*`, `**`, `%`) with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or 
 number. For other {class}`~geoutils.Raster`, the georeferencing must match, while only the shape for other {class}`~numpy.ndarray`.
 
 ```{literalinclude} code/index_example.py
@@ -97,7 +97,7 @@ most other NumPy array functions, while logically casting `dtypes` and respectin
 
 ## Casting to {class}`~geoutils.Mask`, indexing and overload
 
-All {class}`~geoutils.Raster` classes also support Python logical comparison operators (==, !=, >=, >, <=, <), or more complex NumPy logical functions. Those 
+All {class}`~geoutils.Raster` classes also support Python logical comparison operators (`==`, `!=`, `>=`, `>`, `<=`, `<`), or more complex NumPy logical functions. Those 
 operations automatically casts them into a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster`.
 
 
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 874a7af28..f83e6feae 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -104,7 +104,7 @@
     "equal",
     "not_equal",
 ]
-
+handled_array_funcs = _HANDLED_FUNCTIONS_1NIN + _HANDLED_FUNCTIONS_2NIN
 
 # Function to set the default nodata values for any given dtype
 # Similar to GDAL for int types, but without absurdly long nodata values for floats.
@@ -595,9 +595,9 @@ def __repr__(self) -> str:
         # Align left spaces for multi-line object representation (arrays) after return to lines
         s = "Raster(\n"+\
             "  data=" + "\n       ".join(self.data.__str__().split("\n"))+\
-            "\ntransform="+ "\n          ".join(self.transform.__str__().split("\n"))+\
-            "\ncrs=" + self.crs.__str__()+\
-            "\nnodata=" + self.nodata.__str__()
+            "\n  transform="+ "\n            ".join(self.transform.__str__().split("\n"))+\
+            "\n  crs=" + self.crs.__str__()+\
+            "\n  nodata=" + self.nodata.__str__()+")"
 
         return s
         # L = [getattr(self, item) for item in self._saved_attrs]
@@ -1423,7 +1423,7 @@ def __array_function__(
     ) -> Any:
         """
         Method to cast NumPy array function directly on a Raster object by applying it to the masked array.
-        A limited number of function is supported, listed in raster._HANDLED_FUNCTIONS.
+        A limited number of function is supported, listed in raster.handled_array_funcs.
         """
 
         # If function is not implemented
@@ -2839,8 +2839,8 @@ def __repr__(self) -> str:
         # Over-ride Raster's method to remove nodata value (always None)
         s = "Mask(\n"+\
             "  data=" + "\n       ".join(self.data.__str__().split("\n"))+\
-            "\ntransform="+ "\n          ".join(self.transform.__str__().split("\n"))+\
-            "\ncrs=" + self.crs.__str__()
+            "\n  transform="+ "\n            ".join(self.transform.__str__().split("\n"))+\
+            "\n  crs=" + self.crs.__str__()+")"
 
         return s
 

From 0c223fceb59adaf4c91fcf5f2815c6b0fdde52e5 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 15 Feb 2023 18:16:30 -0800
Subject: [PATCH 027/184] Incremental commit on doc

---
 doc/source/core_inheritance.md | 39 ++++++++++++++++++++++++++++++++++
 doc/source/core_lazy_load.md   |  2 ++
 doc/source/how_to_install.md   |  2 +-
 geoutils/georaster/raster.py   |  3 ++-
 4 files changed, 44 insertions(+), 2 deletions(-)

diff --git a/doc/source/core_inheritance.md b/doc/source/core_inheritance.md
index da567ddaf..8ab532ba1 100644
--- a/doc/source/core_inheritance.md
+++ b/doc/source/core_inheritance.md
@@ -1,2 +1,41 @@
+---
+file_format: mystnb
+kernelspec:
+  name: geoutils
+---
 (core-inheritance)=
 # Inheritance to geo-images and beyond
+
+Inheritance is practical to naturally pass down parent methods and attributes to child classes. 
+In the case of {class}`Rasters<geoutils.Raster>`, many types of geospatial data exist with their own peculiarities, additional attributes, while 
+remaining a {class}`Rasters<geoutils.Raster>`.
+
+## Overview of {class}`~geoutils.Raster` inheritance
+
+
+Below is a diagram showing current {class}`~geoutils.Raster` inheritance, which extends into other packages such as [xDEM](https://xdem.readthedocs.io/en/latest/index.html)
+for analyzing digital elevation models. 
+
+```{eval-rst}
+.. inheritance-diagram:: geoutils.georaster.raster geoutils.georaster.satimg xdem.dem.DEM
+    :top-classes: geoutils.georaster.raster.Raster
+```
+
+## The internal {class}`~geoutils.SatelliteImage` subclass
+
+GeoUtils subclasses {class}`Rasters<geoutils.Raster>` to {class}`SatelliteImages<geoutils.SatelliteImage>` for remote sensing users interested in parsing 
+metadata from space- or airborne imagery.
+
+Based on the filename, or auxiliary files, the {class}`~geoutils.SatelliteImage` class attempts to automatically parse a `.datetime`, `.sensor`, `tile_name`,
+and other information.
+
+
+```{code-cell} ipython3
+:tags: [hide-output]
+
+import geoutils as gu
+
+# Initiate a geo-image from disk
+geoimg = gu.SatelliteImage(gu.examples.get_path("exploradores_aster_dem"))
+geoimg
+```
diff --git a/doc/source/core_lazy_load.md b/doc/source/core_lazy_load.md
index e9e15c4d9..303719423 100644
--- a/doc/source/core_lazy_load.md
+++ b/doc/source/core_lazy_load.md
@@ -1,3 +1,5 @@
 (core-lazy-load)=
 
 # Implicit lazy loading
+
+TODO
\ No newline at end of file
diff --git a/doc/source/how_to_install.md b/doc/source/how_to_install.md
index a04d48d4c..ce1a51d39 100644
--- a/doc/source/how_to_install.md
+++ b/doc/source/how_to_install.md
@@ -28,7 +28,7 @@ Setting up GDAL and PROJ may require some extra steps, depending on your operati
 
 ## Installing for contributors
 
-```shell
+```bash
 git clone https://github.com/GlacioHack/xdem.git
 cd ./xdem
 mamba env create -f dev-environment.yml
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index f83e6feae..6f255da5f 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -593,7 +593,8 @@ def __repr__(self) -> str:
         """Convert formal Raster string representation."""
 
         # Align left spaces for multi-line object representation (arrays) after return to lines
-        s = "Raster(\n"+\
+        # And use class name for easier inheritance to subclasses (avoid overloading)
+        s = self.__class__.__name__+"(\n"+\
             "  data=" + "\n       ".join(self.data.__str__().split("\n"))+\
             "\n  transform="+ "\n            ".join(self.transform.__str__().split("\n"))+\
             "\n  crs=" + self.crs.__str__()+\

From dc5ada0bfce51829edfb29dcfa2f5110fe782694 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 16 Feb 2023 12:27:24 -0800
Subject: [PATCH 028/184] Incremental commit on doc

---
 doc/source/core_composition.md |  5 ++-
 doc/source/core_inheritance.md | 37 +++++++++++++++---
 doc/source/core_lazy_load.md   | 69 +++++++++++++++++++++++++++++++++-
 doc/source/core_match_ref.md   |  8 ++--
 doc/source/core_py_ops.md      |  6 +--
 geoutils/georaster/raster.py   | 22 ++++++++---
 6 files changed, 127 insertions(+), 20 deletions(-)

diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
index 78377236b..e0eac186c 100644
--- a/doc/source/core_composition.md
+++ b/doc/source/core_composition.md
@@ -38,9 +38,12 @@ From these **four main attributes**, many other derivatives attributes exist, su
 describe georeferencing. When a {class}`~geoutils.Raster` is based on an **on-disk** dataset, other attributes exist such as {attr}`~geoutils.Raster.
 name` or {attr}`~geoutils.Raster.driver`.
 
+```{note}
+By default, {attr}`~geoutils.Raster.data` is not loaded during instantiation. See {ref}`core-lazy-load` for more details.
+```
+
 ```{code-cell} ipython3
 :tags: [hide-output]
-
 # Show summarized information
 print(raster.info())
 ```
diff --git a/doc/source/core_inheritance.md b/doc/source/core_inheritance.md
index 8ab532ba1..1c7ecc8c8 100644
--- a/doc/source/core_inheritance.md
+++ b/doc/source/core_inheritance.md
@@ -8,7 +8,7 @@ kernelspec:
 
 Inheritance is practical to naturally pass down parent methods and attributes to child classes. 
 In the case of {class}`Rasters<geoutils.Raster>`, many types of geospatial data exist with their own peculiarities, additional attributes, while 
-remaining a {class}`Rasters<geoutils.Raster>`.
+remaining {class}`Rasters<geoutils.Raster>` that benefit from methods implemented in GeoUtils.
 
 ## Overview of {class}`~geoutils.Raster` inheritance
 
@@ -21,6 +21,15 @@ for analyzing digital elevation models.
     :top-classes: geoutils.georaster.raster.Raster
 ```
 
+```{note}
+The {class}`~xdem.DEM` class re-implements all methods of [gdalDEM](https://gdal.org/programs/gdaldem.html) (and more) to derive topographic attributes 
+(hillshade, slope, aspect, etc), coded directly in Python for scalability and tested to yield the exact same results. 
+Among others, it also adds a {attr}`~xdem.DEM.vref` property to consistently manage vertical referencing (ellipsoid, geoids).
+
+If you are DEM-enthuisiastic, **[check-out our sister-package xDEM](https://xdem.readthedocs.io/en/latest/index.html)** for the analysis of digital 
+elevation models.
+```
+
 ## The internal {class}`~geoutils.SatelliteImage` subclass
 
 GeoUtils subclasses {class}`Rasters<geoutils.Raster>` to {class}`SatelliteImages<geoutils.SatelliteImage>` for remote sensing users interested in parsing 
@@ -29,13 +38,31 @@ metadata from space- or airborne imagery.
 Based on the filename, or auxiliary files, the {class}`~geoutils.SatelliteImage` class attempts to automatically parse a `.datetime`, `.sensor`, `tile_name`,
 and other information.
 
+```{code-cell} ipython3
+import geoutils as gu
+
+# Initiate a geo-image from an ASTER image
+geoimg = gu.SatelliteImage(gu.examples.get_path("exploradores_aster_dem"), silent=False)
+```
 
 ```{code-cell} ipython3
-:tags: [hide-output]
+# Initiate a geo-image from a Landsat 7 image
+geoimg2 = gu.SatelliteImage(gu.examples.get_path("everest_landsat_b4"), silent=False)
+```
 
-import geoutils as gu
+Along these additional attributes, the {class}`~geoutils.SatelliteImage` possesses the same main attributes as a {class}`~geoutils.Raster`.
+
+```{code-cell} ipython3
 
-# Initiate a geo-image from disk
-geoimg = gu.SatelliteImage(gu.examples.get_path("exploradores_aster_dem"))
+# The geo-image main attributes
 geoimg
 ```
+
+## And beyond
+
+Many types of geospatial data can be viewed as a subclass of {class}`Rasters<geoutils.Raster>`, which have more attributes and require their own methods: 
+**spectral images**, **velocity fields**, **phase difference maps**, etc...
+
+If you are interested to build your own subclass of {class}`~geoutils.Raster`, you can take example of the structure of {class}`geoutils.SatelliteImage` and 
+{class}`xdem.DEM`. Then, just add any of your own attributes and methods, and overload parent methods if necessary! Don't hesitate to reach out on GitHub if 
+you have a subclassing project.
diff --git a/doc/source/core_lazy_load.md b/doc/source/core_lazy_load.md
index 303719423..fadecb7b2 100644
--- a/doc/source/core_lazy_load.md
+++ b/doc/source/core_lazy_load.md
@@ -1,5 +1,72 @@
+---
+file_format: mystnb
+kernelspec:
+  name: geoutils
+---
 (core-lazy-load)=
 
 # Implicit lazy loading
 
-TODO
\ No newline at end of file
+## Lazy instantiation of {class}`Rasters<geoutils.Raster>`
+
+By default, GeoUtils instantiate a {class}`~geoutils.Raster` from an **on-disk** file without loading its {attr}`geoutils.Raster.data` array. It only loads its 
+metadata ({attr}`~geoutils.Raster.transform`, {attr}`~geoutils.Raster.crs`, {attr}`~geoutils.Raster.nodata` and derivatives, as well as 
+{attr}`~geoutils.Raster.name` and {attr}`~geoutils.Raster.driver`).
+
+```{code-cell} ipython3
+
+import geoutils as gu
+
+# Initiate a Raster from disk
+raster = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+
+# This Raster is not loaded
+raster
+```
+
+To load the data explicity during instantiation opening, `load_data=True` can be passed to {class}`~geoutils.Raster`. Or the {func}`~geoutils.Raster.load` 
+method can be called after. The two are equivalent.
+
+```{code-cell} ipython3
+# Initiate another Raster just for the purpose of loading
+raster_toload = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+raster_toload.load()
+
+# This Raster is loaded
+raster_toload
+```
+
+## Lazy passing of georeferencing metadata
+
+Operations relying on georeferencing metadata of {class}`Rasters<geoutils.Raster>` or {class}`Vectors<geoutils.Vector>` are always done by respecting the 
+possible lazy loading of the objects.
+
+For instance, using any {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a match-reference for a geospatial operation (see {ref}`core-match-ref`) will 
+always conserve the lazy loading of that match-reference object.
+
+```{code-cell} ipython3
+# Use a smaller Raster as reference to crop the initial one
+smaller_raster = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
+raster.crop(smaller_raster)
+
+# The reference Raster is not loaded
+smaller_raster
+```
+
+## Optimized geospatial subsetting
+
+```{important}
+These features are a work in progress, we aim to make GeoUtils more lazy-friendly through [Dask](https://docs.dask.org/en/stable/) in future versions of the 
+package!
+```
+
+Some georeferencing operations be done without loading the entire array Right now, relying directly on Rasterio, GeoUtils supports optimized subsetting 
+through the {func}`~geoutils.Raster.`crop` method.
+
+```{code-cell} ipython3
+# The previously cropped Raster was loaded without accessing the entire array
+raster
+```
+
+
+
diff --git a/doc/source/core_match_ref.md b/doc/source/core_match_ref.md
index 84b91eeab..37ada2cb5 100644
--- a/doc/source/core_match_ref.md
+++ b/doc/source/core_match_ref.md
@@ -18,7 +18,7 @@ operation.
 
 ## Matching with a {class}`~geoutils.Raster` or a {class}`~geoutils.Vector` reference
 
-The rules of using match-reference with a {class}`~geoutils.Raster` or a {class}`~geoutils.Vector` are always the same:
+The rules of using match-reference with {class}`Rasters<geoutils.Raster>` or {class}`Vectors<geoutils.Vector>` are always the same:
 
  - If the **reference** passed is a {class}`~geoutils.Vector`, it can enforce a matching of its {attr}`~geoutils.Vector.bounds` and/or of its {attr}`~geoutils.Vector.crs` (its only two 
    georeferencing attributes),
@@ -29,7 +29,7 @@ Which of these attributes are eventually used to enforce the matching **depends
 
 ## Geospatial handling rules for match-reference
 
-Core "handling" methods all support match-reference, and **always enforce the same georeferencing attributes** for either {class}`~geoutils.Raster` 
+Geospatial handling methods all support match-reference, and **always enforce the same georeferencing attributes** for either {class}`~geoutils.Raster` 
 or {class}`~geoutils.Vector`:
 
 ```{list-table} 
@@ -57,10 +57,10 @@ or {class}`~geoutils.Vector`:
 <sup>1</sup>Because a {class}`~geoutils.Vector` only possesses the {attr}`~geoutils.Vector.bounds` attribute of a {class}`~geoutils.Raster`'s {attr}`~geoutils.Raster.transform`.
 
 
-## Other operations supporting match-reference arguments
+## Other operations supporting match-reference
 
 There are **other geospatial operation that also support match-reference arguments**. Unlike the geospatial handling methods described above, these do not aim 
-at modifying the georeferencing of a {class}`~geoutils.Raster` or a {class}`~geoutils.Vector`. Instead, they simply require the georeferencing metadata.
+at modifying the georeferencing of {class}`Rasters<geoutils.Raster>` or {class}`Vectors<geoutils.Vector>`. Instead, they simply require the georeferencing metadata.
 
 ### From vector to raster
 
diff --git a/doc/source/core_py_ops.md b/doc/source/core_py_ops.md
index b1cdc4d36..7ceb122c7 100644
--- a/doc/source/core_py_ops.md
+++ b/doc/source/core_py_ops.md
@@ -9,7 +9,7 @@ kernelspec:
 
 GeoUtils integrates most of Python's operators for shorter, more intuitive code to consistently perform arithmetic and logical operations.
  
-Pythonic operators work on {class}`~geoutils.Raster` much as they would on {class}`~numpy.ndarray`, with some more details.
+Pythonic operators work on {class}`Rasters<geoutils.Raster>` much as they would on {class}`ndarrays<numpy.ndarray>`, with some more details.
 
 ## Arithmetic of {class}`~geoutils.Raster` classes
 
@@ -96,8 +96,8 @@ For indexing, they can be passed either a {class}`~geoutils.Mask` with the same
 For assignment, either a {class}`~geoutils.Raster` with the same georeferencing, or any {class}`~numpy.ndarray` of the same shape is expected.
 
 When indexing, a flattened {class}`~numpy.ma.MaskedArray` is returned with the indexed values of the {class}`~geoutils.Mask` **excluding those masked in its 
-{class}`~geoutils.Raster.data`'s {class}`~numpy.ma.MaskedArray` (i.e. nodata values present during logical comparison)**. To bypass this behaviour, simply 
-index without the mask using {attr}`<Mask.data.data>`.
+{class}`~geoutils.Raster.data`'s {class}`~numpy.ma.MaskedArray` (for instance, nodata values present during a previous logical comparison)**. To bypass this 
+behaviour, simply index without the mask using {attr}`Mask.data.data`.
 
 ```{code-cell} ipython3
 # Indexing the raster with the previous mask
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 6f255da5f..151b54b4e 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -265,7 +265,7 @@ def __init__(
         | rio.io.MemoryFile
         | dict[str, Any],
         indexes: None | int | list[int] = None,
-        load_data: bool = True,
+        load_data: bool = False,
         downsample: AnyNumber = 1,
         masked: bool = True,
         nodata: int | float | list[int] | list[float] | None = None,
@@ -278,7 +278,7 @@ def __init__(
 
         :param indexes: The band(s) to load into the object. Default is to load all bands.
 
-        :param load_data: Load the raster data into the object. Default is True.
+        :param load_data: Load the raster data into the object. Default is False.
 
         :param downsample: Reduce the size of the image loaded by this factor. Default is 1.
 
@@ -592,10 +592,16 @@ def to_rio_dataset(self) -> rio.io.DatasetReader:
     def __repr__(self) -> str:
         """Convert formal Raster string representation."""
 
-        # Align left spaces for multi-line object representation (arrays) after return to lines
-        # And use class name for easier inheritance to subclasses (avoid overloading)
+        # If data not loaded, return and string and avoid calling .data
+        if not self.is_loaded:
+            str_data = "not_loaded"
+        else:
+            str_data = "\n       ".join(self.data.__str__().split("\n"))
+
+        # Above and below, we align left spaces for multi-line object representation (arrays) after return to lines
+        # And call the class name for easier inheritance to subclasses (avoid overloading to just rewrite subclass name)
         s = self.__class__.__name__+"(\n"+\
-            "  data=" + "\n       ".join(self.data.__str__().split("\n"))+\
+            "  data=" + str_data +\
             "\n  transform="+ "\n            ".join(self.transform.__str__().split("\n"))+\
             "\n  crs=" + self.crs.__str__()+\
             "\n  nodata=" + self.nodata.__str__()+")"
@@ -970,6 +976,9 @@ def is_modified(self) -> bool:
         :returns: True if Raster has been modified.
 
         """
+        if not self.is_loaded:
+            return False
+
         if not self._is_modified:
             new_hash = hash(
                 (self._data.tobytes() if self._data is not None else 0, self.transform, self.crs, self.nodata)
@@ -1259,7 +1268,8 @@ def info(self, stats: bool = False) -> str:
             f"Driver:               {self.driver} \n",
             f"Opened from file:     {self.filename} \n",
             f"Filename:             {self.name} \n",
-            f"Raster modified since disk load?  {self._is_modified} \n",
+            f"Loaded?               {self.is_loaded} \n",
+            f"Modified since load?  {self.is_modified} \n",
             f"Size:                 {self.width}, {self.height}\n",
             f"Number of bands:      {self.count:d}\n",
             f"Data types:           {self.dtypes}\n",

From fbf8af30752868cf7795e2e9e2a4e35e9bb8ff97 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 16 Feb 2023 23:12:41 -0800
Subject: [PATCH 029/184] Incremental commit on documentation

---
 doc/source/api.md              |   2 +
 doc/source/conf.py             |   1 +
 doc/source/core_array_funcs.md |   8 +-
 doc/source/core_composition.md |   4 +-
 doc/source/core_inheritance.md |  11 +-
 doc/source/core_lazy_load.md   |   4 +
 doc/source/core_match_ref.md   |   2 +
 doc/source/core_py_ops.md      |  24 +++--
 doc/source/quick_start.md      |   9 +-
 doc/source/raster_class.md     | 191 +++++++++++++++++++++++++--------
 geoutils/georaster/raster.py   |  43 ++++----
 11 files changed, 215 insertions(+), 84 deletions(-)

diff --git a/doc/source/api.md b/doc/source/api.md
index e6da9c7ce..530dc6a8a 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -35,6 +35,8 @@ documentation.
     Raster.from_array
 ```
 
+(api-raster-attrs)=
+
 ### Unique attributes
 
 ```{eval-rst}
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 58e16bca2..8d975cffe 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -43,6 +43,7 @@
 nb_kernel_rgx_aliases = {".*geoutils.*": "python3"}
 
 intersphinx_mapping = {
+    "python": ("https://docs.python.org/", None),
     "rasterio": ("https://rasterio.readthedocs.io/en/latest", None),
     "numpy": ("https://numpy.org/doc/stable", None),
     "matplotlib": ("https://matplotlib.org/stable", None),
diff --git a/doc/source/core_array_funcs.md b/doc/source/core_array_funcs.md
index cac7cddce..b3148d5d3 100644
--- a/doc/source/core_array_funcs.md
+++ b/doc/source/core_array_funcs.md
@@ -10,7 +10,7 @@ kernelspec:
 NumPy possesses an [array interface](https://numpy.org/doc/stable/reference/arrays.interface.html) that allows to properly map their functions on objects 
 that depend on {class}`ndarrays<numpy.ndarray>`.
 
-GeoUtils integrates this interface to work with all {class}`Rasters<geoutils.Raster>` and their subclasses.
+GeoUtils utilizes this interface to work with all {class}`Rasters<geoutils.Raster>` and their subclasses.
 
 ## Universal functions
 
@@ -33,6 +33,7 @@ Below, we re-use the same example created in {ref}`core-py-ops`.
 
 import geoutils as gu
 import rasterio as rio
+import pyproj
 import numpy as np
 
 # Create a random 3 x 3 masked array
@@ -41,11 +42,12 @@ arr = np.random.randint(0, 255, size=(3, 3), dtype="uint8")
 mask = np.random.randint(0, 2, size=(3, 3), dtype="bool")
 ma = np.ma.masked_array(data=arr, mask=mask)
 
-# Create an example Raster with only a transform
+# Create an example Raster
 raster = gu.Raster.from_array(
         data = ma,
         transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),
-        crs = None
+        crs = pyproj.CRS.from_epsg(4326),
+        nodata = 255
     )
 raster
 ```
diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
index e0eac186c..c7224b5e8 100644
--- a/doc/source/core_composition.md
+++ b/doc/source/core_composition.md
@@ -7,8 +7,6 @@ kernelspec:
 
 # Composition from Rasterio and GeoPandas
 
-## A composition framework
-
 GeoUtils' main classes {class}`~geoutils.Raster` and {class}`~geoutils.Vector` are linked to [Rasterio](https://rasterio.readthedocs.io/en/latest/) and
 [GeoPandas](https://geopandas.org/en/stable/docs.html), respectively, through class composition. 
 
@@ -36,7 +34,7 @@ raster
 
 From these **four main attributes**, many other derivatives attributes exist, such as {attr}`~geoutils.Raster.bounds` or {attr}`~geoutils.Raster.res` to 
 describe georeferencing. When a {class}`~geoutils.Raster` is based on an **on-disk** dataset, other attributes exist such as {attr}`~geoutils.Raster.
-name` or {attr}`~geoutils.Raster.driver`.
+name` or {attr}`~geoutils.Raster.driver`, see {ref}`raster-class` for a summary, or the {ref}`dedicated sections of the API` for a full listing.
 
 ```{note}
 By default, {attr}`~geoutils.Raster.data` is not loaded during instantiation. See {ref}`core-lazy-load` for more details.
diff --git a/doc/source/core_inheritance.md b/doc/source/core_inheritance.md
index 1c7ecc8c8..bd59916d5 100644
--- a/doc/source/core_inheritance.md
+++ b/doc/source/core_inheritance.md
@@ -6,9 +6,10 @@ kernelspec:
 (core-inheritance)=
 # Inheritance to geo-images and beyond
 
-Inheritance is practical to naturally pass down parent methods and attributes to child classes. 
-In the case of {class}`Rasters<geoutils.Raster>`, many types of geospatial data exist with their own peculiarities, additional attributes, while 
-remaining {class}`Rasters<geoutils.Raster>` that benefit from methods implemented in GeoUtils.
+Inheritance is practical to naturally pass down parent methods and attributes to child classes.
+
+Many subtypes of {class}`Rasters<geoutils.Raster>` geospatial data exist that require additional attributes and methods, yet might benefit from methods 
+implemented in GeoUtils.
 
 ## Overview of {class}`~geoutils.Raster` inheritance
 
@@ -64,5 +65,5 @@ Many types of geospatial data can be viewed as a subclass of {class}`Rasters<geo
 **spectral images**, **velocity fields**, **phase difference maps**, etc...
 
 If you are interested to build your own subclass of {class}`~geoutils.Raster`, you can take example of the structure of {class}`geoutils.SatelliteImage` and 
-{class}`xdem.DEM`. Then, just add any of your own attributes and methods, and overload parent methods if necessary! Don't hesitate to reach out on GitHub if 
-you have a subclassing project.
+{class}`xdem.DEM`. Then, just add any of your own attributes and methods, and overload parent methods if necessary! Don't hesitate to reach out on our 
+GitHub if you have a subclassing project.
diff --git a/doc/source/core_lazy_load.md b/doc/source/core_lazy_load.md
index fadecb7b2..28182e1cb 100644
--- a/doc/source/core_lazy_load.md
+++ b/doc/source/core_lazy_load.md
@@ -7,6 +7,10 @@ kernelspec:
 
 # Implicit lazy loading
 
+Lazy loading, also known as "call-by-need", is the delay in loading or evaluating a dataset.
+
+In GeoUtils, we implicitly load and pass only metadata, until the data is actually needed, and are working to implement lazy analysis tools relying on other packages.
+
 ## Lazy instantiation of {class}`Rasters<geoutils.Raster>`
 
 By default, GeoUtils instantiate a {class}`~geoutils.Raster` from an **on-disk** file without loading its {attr}`geoutils.Raster.data` array. It only loads its 
diff --git a/doc/source/core_match_ref.md b/doc/source/core_match_ref.md
index 37ada2cb5..098593a68 100644
--- a/doc/source/core_match_ref.md
+++ b/doc/source/core_match_ref.md
@@ -1,6 +1,8 @@
 (core-match-ref)=
 # Match-reference functionality
 
+Match-reference functionalities lie at the core of GeoUtils' focus to provide accessible and intuitive tools for end-user geospatial analysis.
+
 ## What is match-reference ?
 
 Match-reference means to **match** the georeferencing of a dataset to that of another **reference** dataset.
diff --git a/doc/source/core_py_ops.md b/doc/source/core_py_ops.md
index 7ceb122c7..08d1ff3f7 100644
--- a/doc/source/core_py_ops.md
+++ b/doc/source/core_py_ops.md
@@ -7,13 +7,14 @@ kernelspec:
 (core-py-ops)=
 # Support of pythonic operators
 
-GeoUtils integrates most of Python's operators for shorter, more intuitive code to consistently perform arithmetic and logical operations.
+GeoUtils integrates pythonic operators for shorter, more intuitive code, and to perform arithmetic and logical operations consistently.
  
-Pythonic operators work on {class}`Rasters<geoutils.Raster>` much as they would on {class}`ndarrays<numpy.ndarray>`, with some more details.
+These operators work on {class}`Rasters<geoutils.Raster>` much as they would on {class}`ndarrays<numpy.ndarray>`, with some more details.
 
 ## Arithmetic of {class}`~geoutils.Raster` classes
 
-Arithmetic operators (`+`, `-`, `/`, `//`, `*`, `**`, `%`) can be used on a {class}`~geoutils.Raster` in combination with any other {class}`~geoutils.Raster`, 
+Arithmetic operators ({func}`+<operator.add>`, {func}`-<operator.sub>`, {func}`/<operator.truediv>`, {func}`//<operator.floordiv>`, {func}`*<operator.mul>`, 
+{func}`**<operator.pow>`, {func}`%<operator.mod>`) can be used on a {class}`~geoutils.Raster` in combination with any other {class}`~geoutils.Raster`, 
 {class}`~numpy.ndarray` or number.
 
 For an operation with another {class}`~geoutils.Raster`, the georeferencing ({attr}`~geoutils.Raster.crs` and {attr}`~geoutils.Raster.transform`) must match. 
@@ -22,6 +23,7 @@ For another {class}`~numpy.ndarray`, the {attr}`~geoutils.Raster.shape` must mat
 ```{code-cell} ipython3
 import geoutils as gu
 import rasterio as rio
+import pyproj
 import numpy as np
 
 # Create a random 3 x 3 masked array
@@ -30,11 +32,12 @@ arr = np.random.randint(0, 255, size=(3, 3), dtype="uint8")
 mask = np.random.randint(0, 2, size=(3, 3), dtype="bool")
 ma = np.ma.masked_array(data=arr, mask=mask)
 
-# Create an example Raster with only a transform
+# Create an example Raster
 raster = gu.Raster.from_array(
         data = ma,
         transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),
-        crs = None
+        crs = pyproj.CRS.from_epsg(4326),
+        nodata = 255
     )
 
 raster
@@ -61,8 +64,9 @@ following [standard NumPy coercion rules](https://numpy.org/doc/stable/reference
 
 ## Logical comparisons cast to {class}`~geoutils.Mask`
 
-Logical comparison operators (`==`, `!=`, `>=`, `>`, `<=`, `<`) can be used on a {class}`~geoutils.Raster`, also in combination with any other {class}`~geoutils.Raster`, 
-{class}`~numpy.ndarray` or number.
+Logical comparison operators ({func}`==<operator.eq>`, {func}` != <operator.ne>`, {func}`>=<operator.ge>`, {func}`><operator.gt>`, {func}`<=<operator.le>`, 
+{func}`<<operator.lt>`) can be used on a {class}`~geoutils.Raster`, also in combination with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or 
+number.
 
 Those operation always return a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster` with a boolean {class}`~numpy.ma.MaskedArray` 
 as {class}`~geoutils.Raster.data`.
@@ -80,7 +84,8 @@ A {class}`~geoutils.Mask`'s {attr}`~geoutils.Raster.data` remains a {class}`~num
 
 ## Logical bitwise operations on {class}`~geoutils.Mask`
 
-Logical bitwise operators (`~`, `&`, `|`, `^`) can be used to combine a {class}`~geoutils.Mask` with another {class}`~geoutils.Mask`, and always output a {class}`~geoutils.Mask`.
+Logical bitwise operators ({func}`~ <operator.invert>`, {func}`& <operator.and_>`, {func}`| <operator.or_>`, {func}`^ <operator.xor>`) can be used to 
+combine a {class}`~geoutils.Mask` with another {class}`~geoutils.Mask`, and always output a {class}`~geoutils.Mask`.
 
 ```{code-cell} ipython3
 # Logical bitwise operation between masks
@@ -90,7 +95,8 @@ mask
 
 ## Indexing a {class}`~geoutils.Raster` with a {class}`~geoutils.Mask`
 
-Finally, indexing and index assignment operations (`[]`, `[] = `) are both supported by {class}`Rasters<geoutils.Raster>`. 
+Finally, indexing and index assignment operations ({func}`[] <operator.getitem>`, {func}`[]= <operator.setitem>`) are both supported by 
+{class}`Rasters<geoutils.Raster>`. 
 
 For indexing, they can be passed either a {class}`~geoutils.Mask` with the same georeferencing, or a boolean {class}`~numpy.ndarray` of the same shape. 
 For assignment, either a {class}`~geoutils.Raster` with the same georeferencing, or any {class}`~numpy.ndarray` of the same shape is expected.
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index 37cb59e53..47af00aeb 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -79,7 +79,8 @@ Using {func}`~geoutils.Raster.polygonize` allows to generate a {class}`~geoutils
 
 ## Pythonic arithmetic and NumPy interface
 
-All {class}`~geoutils.Raster` objects support Python arithmetic (`+`, `-`, `/`, `//`, `*`, `**`, `%`) with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or 
+All {class}`~geoutils.Raster` objects support Python arithmetic ({func}`+<operator.add>`, {func}`-<operator.sub>`, {func}`/<operator.truediv>`, {func}`//<operator.floordiv>`, {func}`*<operator.mul>`, 
+{func}`**<operator.pow>`, {func}`%<operator.mod>`) with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or 
 number. For other {class}`~geoutils.Raster`, the georeferencing must match, while only the shape for other {class}`~numpy.ndarray`.
 
 ```{literalinclude} code/index_example.py
@@ -97,8 +98,8 @@ most other NumPy array functions, while logically casting `dtypes` and respectin
 
 ## Casting to {class}`~geoutils.Mask`, indexing and overload
 
-All {class}`~geoutils.Raster` classes also support Python logical comparison operators (`==`, `!=`, `>=`, `>`, `<=`, `<`), or more complex NumPy logical functions. Those 
-operations automatically casts them into a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster`.
+All {class}`~geoutils.Raster` classes also support Python logical comparison operators ({func}`==<operator.eq>`, {func}` != <operator.ne>`, {func}`>=<operator.ge>`, {func}`><operator.gt>`, {func}`<=<operator.le>`, 
+{func}`<<operator.lt>`), or more complex NumPy logical functions. Those operations automatically casts them into a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster`.
 
 
 ```{literalinclude} code/index_example.py
@@ -106,7 +107,7 @@ operations automatically casts them into a {class}`~geoutils.Mask`, a subclass o
 :language: python
 ```
 
-Masks can then be used for indexing a {class}`~geoutils.Raster`.
+Masks can then be used for indexing a {class}`~geoutils.Raster`, which returns a {class}`~numpy.ma.MaskedArray` of indexed values.
 
 ```{literalinclude} code/index_example.py
 :lines: 32-33
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index d80855c36..a17eba632 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -1,84 +1,191 @@
+---
+file_format: mystnb
+kernelspec:
+  name: geoutils
+---
 (raster-class)=
 
-# The georeferenced raster (`Raster`)
+# The georeferenced raster ({class}`~geoutils.Raster`)
 
-## Object definition
+Below, a summary of the {class}`~geoutils.Raster` object and its methods.
 
-A {class}`geoutils.Raster` is a georeferenced raster read, written or reprojected by `rasterio`.
+(raster-obj-def)=
 
-It contains:
-- an array `.data` as a {class}`numpy.ma.MaskedArray`,
-- a geotransform `.transform` as a {class}`affine.Affine`,
-- a coordinate reference system (CRS) `.crs` as a {class}`pyproj.CRS`,
-- a nodata value `.nodata` as ``float`` or ``int``.
+## Object definition and attributes
 
+A {class}`~geoutils.Raster` contains **four main attributes**:
+
+1. a {class}`numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`,
+2. an {class}`affine.Affine` as {attr}`~geoutils.Raster.transform`
+3. a {class}`pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`, and
+4. a {class}`float` or {class}`int` as {attr}`~geoutils.Raster.nodata`.
+
+For more details on {class}`~geoutils.Raster` class composition, see {ref}`core-composition`.
+
+A {class}`~geoutils.Raster` also contains many derivative attributes, with naming generally consistent with that of a {class}`rasterio.DatasetReader`.
+
+A first category includes georeferencing attributes directly derived from {attr}`~geoutils.Raster.transform`, namely: {attr}`~geoutils.Raster.shape`, 
+{attr}`~geoutils.Raster.height`, {attr}`~geoutils.Raster.width`, {attr}`~geoutils.Raster.res`, {attr}`~geoutils.Raster.bounds`.
+
+A second category concerns the attributes derived from the raster array shape and type: {attr}`~geoutils.Raster.count`, {attr}`~geoutils.Raster.indexes` and 
+{attr}`~geoutils.Raster.dtypes`. The two former refer to the number of bands loaded in a {class}`~geoutils.Raster`, and their indexes.
+
+```{important}
+The {attr}`~geoutils.Raster.indexes` of {class}`rasterio.DatasetReader` start from 1 and not 0, be careful when instantiating or loading from a 
+multi-band raster!
+```
+
+Finally, the remaining attributes are only relevant when instantiating from a **on-disk** file: {attr}`~geoutils.Raster.name`, {attr}`~geoutils.Raster.driver`, 
+{attr}`~geoutils.Raster.count_on_disk`, {attr}`~geoutils.Raster.indexes_on_disk`, {attr}`~geoutils.Raster.is_loaded` and {attr}`~geoutils.Raster.is_modified`.
+
+
+```{note}
+The {attr}`~geoutils.Raster.count` and {attr}`~geoutils.Raster.indexes` attributes always exist, while {attr}`~geoutils.Raster.count_on_disk` and 
+{attr}`~geoutils.Raster.indexes_on_disk` only refers to the number of bands on the **on-disk** dataset, if it exists.
+
+For example, {attr}`~geoutils.Raster.count` and {attr}`~geoutils.Raster.count_on_disk` will differ when a single band is loaded from a 
+3-band **on-disk** file, by passing a single index to the `indexes` argument in {class}`~geoutils.Raster` or {func}`~geoutils.Raster.load`.
+```
+
+The complete list of {class}`~geoutils.Raster` attributes with description is available in {ref}`dedicated sections of the API<api-raster-attrs>`.
 
 ## Open and save
 
-```{literalinclude} code/raster-basics_open_file.py
-:lines: 2-8
+A {class}`~geoutils.Raster` is opened by instantiating with either a {class}`str`, a {class}`pathlib.Path` or a {class}`rasterio.DatasetReader`.
+
+
+```{code-cell} ipython3
+import geoutils as gu
+
+# Initiate a raster from disk
+raster = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+raster
 ```
 
-````{margin} 
-**Example of raster from {func}`~geoutils.Raster.info`:**
+Detailed information on the {class}`~geoutils.Raster` is printed using {class}`~geoutils.Raster.info()`, along with basic statistics using `stats=True`:
 
-```{literalinclude} code/index_rast_info.py
-    :lines: 11-12
-    :language: python
+```{code-cell} ipython3
+# Print details of raster
+print(raster.info(stats=True))
 ```
 
-```{eval-rst}
-.. program-output:: $PYTHON code/index_rast_info.py
-        :shell:
+
+```{note}
+Calling {class}`~geoutils.Raster.info()` with `stats=True` automatically loads the array in-memory, like any other operation calling {attr}`~geoutils.Raster.data`.
 ```
 
-````
+A {class}`~geoutils.Raster` is saved to file by calling {func}`~geoutils.Raster.save` with a {class}`str` or a {class}`pathlib.Path`.
 
-To print information directly to your console:
+```{code-cell} ipython3
+# Save raster to disk
+raster.save("myraster.tif")
+```
+```{code-cell} ipython3
+:tags: [remove-cell]
+import os
+os.remove("myraster.tif")
+```
 
-```python
-print(image)
+## Create from array
+
+A {class}`~geoutils.Raster` is created from an array by calling the class method {func}`~geoutils.Raster.from_array` and passing the 
+{ref}`four main attributes<raster-obj-def>`.
+
+```{code-cell} ipython3
+import rasterio as rio
+import pyproj
+import numpy as np
+
+# Create a random 3 x 3 masked array
+np.random.seed(42)
+arr = np.random.randint(0, 255, size=(3, 3), dtype="uint8")
+mask = np.random.randint(0, 2, size=(3, 3), dtype="bool")
+ma = np.ma.masked_array(data=arr, mask=mask)
+
+# Create a Raster from array
+raster = gu.Raster.from_array(
+        data = ma,
+        transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),
+        crs = pyproj.CRS.from_epsg(4326),
+        nodata = 255
+    )
+raster
 ```
 
-```{eval-rst}
-.. program-output:: $PYTHON -c "exec(open('code/raster-basics_open_file.py').read()); print(image)"
-        :shell:
+```{important}
+The {attr}`~geoutils.Raster.data` attribute can be passed as an unmasked {class}`~numpy.ndarray`. That array will be converted to a {class}`~numpy.ma.MaskedArray` 
+with a {class}`~numpy.ma.MaskedArray.mask` on all {class}`~numpy.nan` and {class}`~numpy.inf` in the {attr}`~geoutils.Raster.data`, and on all values 
+matching the {attr}`~geoutils.Raster.nodata` value passed to {func}`~geoutils.Raster.from_array`.
 ```
 
-If you'd like to retrieve a string of information about the raster to be saved
-to a variable, output to a text file etc:
+## Get array
 
-```{literalinclude} code/raster-basics_open_file.py
-:lines: 10
+The array of a {class}`~geoutils.Raster` is available in {class}`~geoutils.Raster.data` as a {class}`~numpy.ma.MaskedArray`.
+
+```{code-cell} ipython3
+# Get raster's masked-array
+raster.data
 ```
 
-With added stats:
+For those less familiar with {class}`MaskedArrays<numpy.ma.MaskedArray>` and the associated functions in NumPy, an unmasked {class}`~numpy.ndarray` filled with 
+{class}`~numpy.nan` on masked values can be extracted using {func}`~geoutils.Raster.get_nanarray`.
 
-```{literalinclude} code/raster-basics_open_file.py
-:lines: 12
+```{code-cell} ipython3
+# Get raster's nan-array
+raster.get_nanarray()
 ```
 
-Then to write a file:
+```{important}
+Getting a {class}`~numpy.ndarray` filled with {class}`~numpy.nan` will automatically cast the {class}`dtype<numpy.dtype>` to {class}`numpy.float32`. This 
+might result in larger memory usage than in the original {class}`~geoutils.Raster` (if of {class}`int` type).
+
+Thanks to the {ref}`core-array-funcs`, **NumPy functions applied directly to a {class}`~geoutils.Raster` will respect {class}`~geoutils.Raster.nodata` 
+values** as well as if computing with the {class}`~numpy.ma.MaskedArray` or an unmasked {class}`~numpy.ndarray` filled with {class}`~numpy.nan`.
 
-```{literalinclude} code/raster-basics_open_file.py
-:lines: 14-15
+Additionally, the {class}`~geoutils.Raster` will automatically cast between different {class}`dtypes<numpy.dtype>`, and possibly re-define missing 
+{class}`nodatas<geoutils.Raster.nodata>`.
 ```
 
-Or just print nicely to console:
+## Arithmetic
 
-```python
-print(information)
+A {class}`~geoutils.Raster` can be applied any pythonic arithmetic operation ({func}`+<operator.add>`, {func}`-<operator.sub>`, {func}`/<operator.truediv>`, {func}`//<operator.floordiv>`, {func}`*<operator.mul>`, 
+{func}`**<operator.pow>`, {func}`%<operator.mod>`) with another {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or number. It will output one or two {class}`Rasters<geoutils.Raster>`. NumPy coercion rules apply for {class}`dtypes<numpy.dtype>`.
+
+```{code-cell} ipython3
+# Add 1 and divide raster by 2
+(raster + 1)/2
 ```
 
-```{eval-rst}
-.. program-output:: $PYTHON -c "exec(open('code/raster-basics_open_file.py').read()); print(information)"
-        :shell:
+A {class}`~geoutils.Raster` can also be applied any pythonic logical comparison operation ({func}`==<operator.eq>`, {func}` != <operator.ne>`, {func}`>=<operator.ge>`, {func}`><operator.gt>`, {func}`<=<operator.le>`, 
+{func}`<<operator.lt>`) with another {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or number. It will cast to a {class}`geoutils.Mask`.
+
+```{code-cell} ipython3
+# What raster pixels are less than 100?
+raster < 100
 ```
 
-## Arithmetic
+See {ref}`core-py-ops` for more details.
 
 ## Array interface
 
+A {class}`~geoutils.Raster` can be applied any NumPy universal functions and most mathematical, logical or masked-array functions with another 
+{class}`~geoutils.Raster`, {class}`~numpy.ndarray` or number.
+
+```{code-cell} ipython3
+# Compute the element-wise sqrt
+np.sqrt(raster)
+```
+
+Logical comparison functions will cast to a {class}`geoutils.Mask`.
+
+```{code-cell} ipython3
+# Is the raster close to another within tolerance?
+np.isclose(raster, raster+0.05, atol=0.1)
+```
+
+See {ref}`core-array-funcs` for more details.
+
+
 ## Crop
 
 Comparing multiple rasters can often be a burden if multiple coordinate systems, bounding boxes, and resolutions are involved.
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 151b54b4e..18e118608 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -1281,22 +1281,24 @@ def info(self, stats: bool = False) -> str:
         ]
 
         if stats:
-            if self.is_loaded:
-                if self.count == 1:
-                    as_str.append(f"[MAXIMUM]:          {np.nanmax(self.data):.2f}\n")
-                    as_str.append(f"[MINIMUM]:          {np.nanmin(self.data):.2f}\n")
-                    as_str.append(f"[MEDIAN]:           {np.ma.median(self.data):.2f}\n")
-                    as_str.append(f"[MEAN]:             {np.nanmean(self.data):.2f}\n")
-                    as_str.append(f"[STD DEV]:          {np.nanstd(self.data):.2f}\n")
-                else:
-                    for b in range(self.count):
-                        # try to keep with rasterio convention.
-                        as_str.append(f"Band {b + 1}:")
-                        as_str.append(f"[MAXIMUM]:          {np.nanmax(self.data[b, :, :]):.2f}\n")
-                        as_str.append(f"[MINIMUM]:          {np.nanmin(self.data[b, :, :]):.2f}\n")
-                        as_str.append(f"[MEDIAN]:           {np.ma.median(self.data[b, :, :]):.2f}\n")
-                        as_str.append(f"[MEAN]:             {np.nanmean(self.data[b, :, :]):.2f}\n")
-                        as_str.append(f"[STD DEV]:          {np.nanstd(self.data[b, :, :]):.2f}\n")
+            if not self.is_loaded:
+                self.load()
+
+            if self.count == 1:
+                as_str.append(f"[MAXIMUM]:          {np.nanmax(self.data):.2f}\n")
+                as_str.append(f"[MINIMUM]:          {np.nanmin(self.data):.2f}\n")
+                as_str.append(f"[MEDIAN]:           {np.ma.median(self.data):.2f}\n")
+                as_str.append(f"[MEAN]:             {np.nanmean(self.data):.2f}\n")
+                as_str.append(f"[STD DEV]:          {np.nanstd(self.data):.2f}\n")
+            else:
+                for b in range(self.count):
+                    # try to keep with rasterio convention.
+                    as_str.append(f"Band {b + 1}:")
+                    as_str.append(f"[MAXIMUM]:          {np.nanmax(self.data[b, :, :]):.2f}\n")
+                    as_str.append(f"[MINIMUM]:          {np.nanmin(self.data[b, :, :]):.2f}\n")
+                    as_str.append(f"[MEDIAN]:           {np.ma.median(self.data[b, :, :]):.2f}\n")
+                    as_str.append(f"[MEAN]:             {np.nanmean(self.data[b, :, :]):.2f}\n")
+                    as_str.append(f"[STD DEV]:          {np.nanstd(self.data[b, :, :]):.2f}\n")
 
         return "".join(as_str)
 
@@ -1345,8 +1347,13 @@ def get_nanarray(self, return_mask: bool = False) -> np.ndarray | tuple[np.ndarr
         :returns Array with masked data as NaNs, (Optional) Mask of valid data
         """
 
-        # Get the array with masked value fill with NaNs
-        nanarray = self.data.filled(fill_value=np.nan).squeeze()
+        # Cast array to float32 is its dtype is integer (cannot be filled with NaNs otherwise)
+        if "int" in str(self.data.dtype):
+            # Get the array with masked value fill with NaNs
+            nanarray = self.data.astype("float32").filled(fill_value=np.nan).squeeze()
+        else:
+            # Same here
+            nanarray = self.data.filled(fill_value=np.nan).squeeze()
 
         # The function np.ma.filled() only returns a copy if the array is masked, copy the array if it's not the case
         if not np.ma.is_masked(self.data):

From 98d643840ae32dcc2a3dd156332663eee948f537 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 16 Feb 2023 23:43:49 -0800
Subject: [PATCH 030/184] Incremental commit on doc

---
 doc/source/api.md          |  2 ++
 doc/source/raster_class.md | 67 ++++++++++++++++++--------------------
 2 files changed, 34 insertions(+), 35 deletions(-)

diff --git a/doc/source/api.md b/doc/source/api.md
index 530dc6a8a..5d4dbe11a 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -71,6 +71,8 @@ documentation.
     Raster.driver
 ```
 
+(api-geo-handle)=
+
 ### Geospatial handling methods
 
 ```{eval-rst}
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index a17eba632..f99a34725 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -157,7 +157,7 @@ A {class}`~geoutils.Raster` can be applied any pythonic arithmetic operation ({f
 ```
 
 A {class}`~geoutils.Raster` can also be applied any pythonic logical comparison operation ({func}`==<operator.eq>`, {func}` != <operator.ne>`, {func}`>=<operator.ge>`, {func}`><operator.gt>`, {func}`<=<operator.le>`, 
-{func}`<<operator.lt>`) with another {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or number. It will cast to a {class}`geoutils.Mask`.
+{func}`<<operator.lt>`) with another {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or number. It will cast to a {class}`~geoutils.Mask`.
 
 ```{code-cell} ipython3
 # What raster pixels are less than 100?
@@ -176,7 +176,7 @@ A {class}`~geoutils.Raster` can be applied any NumPy universal functions and mos
 np.sqrt(raster)
 ```
 
-Logical comparison functions will cast to a {class}`geoutils.Mask`.
+Logical comparison functions will cast to a {class}`~geoutils.Mask`.
 
 ```{code-cell} ipython3
 # Is the raster close to another within tolerance?
@@ -185,55 +185,52 @@ np.isclose(raster, raster+0.05, atol=0.1)
 
 See {ref}`core-array-funcs` for more details.
 
+## Reproject
 
-## Crop
-
-Comparing multiple rasters can often be a burden if multiple coordinate systems, bounding boxes, and resolutions are involved.
-The {class}`geoutils.Raster` class simplifies this using two methods: `Raster.crop()` and `Raster.reproject()`.
+Reprojecting a {class}`~geoutils.Raster` means to enforce a new {attr}`~geoutils.Raster.transform` and/or {class}`~geoutils.Raster.crs`. This is done by the 
+{func}`~geoutils.Raster.reproject` function.
 
-{func}`geoutils.Raster.crop`
+```{important}
+As with all geospatial handling methods, the {func}`~geoutils.Raster.reproject` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.
+Vector` as argument. 
 
-If a large raster should be cropped to a smaller extent without changing the uncropped data, this is possible through the crop function.
+A {class}`~geoutils.Raster` reference will enforce to match its {attr}`~geoutils.Raster.transform` and {class}`~geoutils.Raster.crs`.
+A {class}`~geoutils.Vector` reference will enforce to match its {attr}`~geoutils.Vector.bounds` and {class}`~geoutils.Vector.crs`.
 
-```{literalinclude} code/raster-basics_cropping_and_reprojecting.py
-:lines: 4-6
+See {ref}`core-match-ref` for more details.
 ```
 
-```python
-print(large_image.shape)
+The {func}`~geoutils.Raster.reproject` function can also be passed any individual arguments such as `dst_bounds`, to enforce specific georeferencing 
+attributes. For more details, see the {ref}`specific section and function descriptions in the API<api-geo-handle>`.
 
-print(smaller_image.shape)
+```{code-cell} ipython3
+# Original bounds and resolution
+print(raster.res)
+print(raster.bounds)
 ```
 
-prints:
-
-```{eval-rst}
-.. program-output:: $PYTHON -c "exec(open('code/raster-basics_cropping_and_reprojecting.py').read());print(large_image_orig.shape);print(smaller_image.shape)"
-        :shell:
+```{code-cell} ipython3
+# Reproject to smaller bounds and higher resolution
+raster = raster.reproject(
+    dst_res=0.25, 
+    dst_bounds={"left": 0, "bottom": 0, "right": 0.75, "top": 0.75}, 
+    resampling="cubic")
+raster
 ```
 
-If we want to crop the larger image to fit the smaller one:
-
-```{literalinclude} code/raster-basics_cropping_and_reprojecting.py
-:lines: 9
+```{code-cell} ipython3
+# New bounds and resolution
+print(raster.res)
+print(raster.bounds)
 ```
 
-Now, they have the same shape, and can be compared directly:
-
-```python
-print(large_image.shape)
-
-print(smaller_image.shape)
+```{note}
+In GeoUtils, `"bilinear"` is the default resampling method. A simple {class}`str` matching the naming of a {class}`rasterio.enums.Resampling` method can be 
+passed.
 ```
 
-prints:
 
-```{eval-rst}
-.. program-output:: $PYTHON -c "exec(open('code/raster-basics_cropping_and_reprojecting.py').read());print(large_image.shape);print(smaller_image.shape)"
-        :shell:
-```
-
-## Reproject
+## Crop
 
 {func}`geoutils.Raster.reproject`
 

From f2d2db1897f270bbcec5a237e00e4fa41dfed676 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 17 Feb 2023 18:19:19 -0800
Subject: [PATCH 031/184] Incremental commit on doc

---
 doc/source/api.md            |  20 ++---
 doc/source/conf.py           |   1 +
 doc/source/core_py_ops.md    |   2 +
 doc/source/mask_class.md     | 151 +++++++++++++++++++++++++++++++++--
 doc/source/raster_class.md   | 127 ++++++++++++++++++++++-------
 doc/source/vector_class.md   |  67 +++-------------
 geoutils/georaster/raster.py |  36 ++++++++-
 7 files changed, 304 insertions(+), 100 deletions(-)

diff --git a/doc/source/api.md b/doc/source/api.md
index 5d4dbe11a..ba60ee9f0 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -122,16 +122,6 @@ documentation.
     Raster.to_xarray
 ```
 
-### Logical methods
-
-```{eval-rst}
-.. autosummary::
-    :toctree: gen_modules/
-
-    Raster.raster_equal
-    Raster.equal_georeferenced_grid
-```
-
 ### Coordinate and extent methods
 
 ```{eval-rst}
@@ -147,6 +137,16 @@ documentation.
     Raster.outside_image   
 ```
 
+### Testing methods
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Raster.raster_equal
+    Raster.equal_georeferenced_grid
+```
+
 ### Arithmetic with other rasters, arrays or numbers
 
 ```{eval-rst}
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 8d975cffe..99aa20ef8 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -49,6 +49,7 @@
     "matplotlib": ("https://matplotlib.org/stable", None),
     "pyproj": ("https://pyproj4.github.io/pyproj/stable", None),
     "geopandas": ("https://geopandas.org/en/stable", None),
+    "xarray": ("https://docs.xarray.dev/en/stable/", None),
     "xdem": ("https://xdem.readthedocs.io/en/latest", None),
 }
 
diff --git a/doc/source/core_py_ops.md b/doc/source/core_py_ops.md
index 08d1ff3f7..09e831d88 100644
--- a/doc/source/core_py_ops.md
+++ b/doc/source/core_py_ops.md
@@ -93,6 +93,8 @@ mask = (raster > 100) & ((raster % 2) == 0)
 mask
 ```
 
+(py-ops-indexing)=
+
 ## Indexing a {class}`~geoutils.Raster` with a {class}`~geoutils.Mask`
 
 Finally, indexing and index assignment operations ({func}`[] <operator.getitem>`, {func}`[]= <operator.setitem>`) are both supported by 
diff --git a/doc/source/mask_class.md b/doc/source/mask_class.md
index f25287113..40c62e2e1 100644
--- a/doc/source/mask_class.md
+++ b/doc/source/mask_class.md
@@ -1,14 +1,155 @@
+---
+file_format: mystnb
+kernelspec:
+  name: geoutils
+---
 (mask-class)=
 
-# The georeferenced mask (`Mask`)
+# The georeferenced mask ({class}`~geoutils.Mask`)
 
+Below, a summary of the {class}`~geoutils.Mask` object and its methods.
 
-## Object definition
+## Object definition and attributes
+
+A {class}`~geoutils.Mask` is a subclass of {class}`~geoutils.Raster` that contains **three main attributes**:
+
+1. a {class}`numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data` of {class}`~numpy.boolean` {class}`~numpy.dtype`,
+2. an {class}`affine.Affine` as {attr}`~geoutils.Raster.transform`, and
+3. a {class}`pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`.
+
+A {class}`~geoutils.Mask` also inherits the same derivative attributes as a {class}`~geoutils.Raster`.
+
+```{note}
+There is no {class}`~geoutils.Raster.nodata` value defined in a {class}`~geoutils.Mask`, as it only take binary values. However, the 
+{class}`numpy.ma.MaskedArray` still has a {class}`~geoutils.Raster.data.mask` for unvalid values.
+```
+
+## Open and save
+
+{class}`Masks<geoutils.Mask>` can be created from files through instantiation with {class}`~geoutils.Mask`, and inherit the {func}`~geoutils.Raster.save` 
+method from {class}`~geoutils.Raster`.
+
+```{important}
+Most raster file formats such a [GeoTIFFs](https://gdal.org/drivers/raster/gtiff.html) **do not support {class}`bool` array {class}`dtypes<numpy.dtype>` 
+on-disk**, and **most of Rasterio functionalities also do not support {class}`bool` {class}`dtypes<numpy.dtype>`**.
+
+To address this, during opening, saving and geospatial handling operations, {class}`Masks<geoutils.Mask>` are automatically converted to and from {class}`numpy.uint8`. 
+The {class}`~geoutils.Raster.nodata` of a {class}`~geoutils.Mask` can now be defined to save to a file, and defaults to `255`.
+```
+
+On opening, all data will be forced to a {class}`bool` {class}`numpy.dtype`.
+
+```{code-cell} ipython3
+import geoutils as gu
+
+# Initiate a raster from disk
+mask = gu.Mask(gu.examples.get_path("exploradores_aster_dem"), load_data=True)
+mask
+```
+
+## Cast from {class}`~geoutils.Raster`
+
+{class}`Masks<geoutils.Mask>` are automatically cast by a logical comparison operation performed on a {class}`~geoutils.Raster` with either another 
+{class}`~geoutils.Raster`, a {class}`~numpy.ndarray` or a number.
+
+```{code-cell} ipython3
+# Initiate a raster from disk
+raster = gu.Raster(gu.examples.get_path("exploradores_aster_dem"), load_data=True)
+
+# Which pixels are below 1500 m?
+raster < 1500
+```
+
+See {ref}`core-py-ops` for more details.
+
+
+## Create from {class}`~numpy.ndarray`
+
+The class method {func}`geoutils.Raster.from_array`, inherited by the {class}`~geoutils.Mask` subclass, automatically casts to a {class}`~geoutils.Mask` if 
+the input {class}`~numpy.ndarray` is of {class}`bool` {class}`~numpy.dtype`.
+
+```{code-cell} ipython3
+import rasterio as rio
+import pyproj
+import numpy as np
+
+# Create a random 3 x 3 masked array
+np.random.seed(42)
+arr = np.random.randint(0, 2, size=(3, 3), dtype="bool")
+mask = np.random.randint(0, 2, size=(3, 3), dtype="bool")
+ma = np.ma.masked_array(data=arr, mask=mask)
+
+# Cast to a mask from a boolean array through the Raster class
+mask = gu.Raster.from_array(
+        data = ma,
+        transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),
+        crs = pyproj.CRS.from_epsg(4326),
+        nodata = 255
+    )
+mask
+```
+
+When creating with {func}`geoutils.Mask.from_array`, any input {class}`~numpy.ndarray` will be forced to a {class}`bool` {class}`numpy.dtype`.
+
+```{code-cell} ipython3
+# Create a mask from array directly from the Mask class
+mask = gu.Mask.from_array(
+        data = ma.astype("float32"),
+        transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),
+        crs = pyproj.CRS.from_epsg(4326),
+        nodata = 255
+    )
+mask
+```
+
+## Create from {class}`~geoutils.Vector`
+
+{class}`Masks<geoutils.Mask>` can also be created from a {class}`~geoutils.Vector` using {class}`~geoutils.Vector.create_mask`, which rasterizes all input 
+geometries to a boolean array through {class}`~geoutils.Vector.rasterize`.
+
+Georeferencing attributes to create the {class}`~geoutils.Mask` can also be passed individually, using `bounds`, `crs`, `xres` and `yres`.
+
+```{code-cell} ipython3
+# Open a vector of glacier outlines
+vector = gu.Vector(gu.examples.get_path("exploradores_rgi_outlines"))
+
+# Create mask using the raster as reference to match for bounds, resolution and projection
+mask_outlines = vector.create_mask(raster)
+mask_outlines
+```
+
+See {ref}`core-match-ref` for more details on the match-reference functionality.
 
 ## Arithmetic
 
-## Cast from `Raster`
+{class}`Masks<geoutils.Mask>` support Python's logical bitwise operators ({func}`~ <operator.invert>`, {func}`& <operator.and_>`, {func}`|<operator.or_>`, 
+{func}`^ <operator.xor>`) with other {class}`Masks<geoutils.Mask>`, and always output a {class}`~geoutils.Mask`.
+
+```{code-cell} ipython3
+# Combine masks
+~mask | mask
+```
+
+## Indexing and assignment
+
+{class}`Masks<geoutils.Mask>` can be used for indexing and index assignment operations ({func}`[] <operator.getitem>`, {func}`[]= <operator.setitem>`) with
+{class}`Rasters<geoutils.Raster>`.
+
+```{important}
+When indexing, a flattened {class}`~numpy.ma.MaskedArray` is returned with the indexed values of the {class}`~geoutils.Mask` **excluding those masked in its 
+{class}`~geoutils.Raster.data`'s {class}`~numpy.ma.MaskedArray`**.
+```
+
+```{code-cell} ipython3
+# Index raster values on mask
+raster[mask_outlines]
+```
+
+See {ref}`py-ops-indexing` for more details.
+
+## Polygonize (overloaded from {class}`~geoutils.Raster`)
+
+Some methods
 
-## Create from `Vector`
+## Proximity (overloaded from {class}`~geoutils.Raster`)
 
-## Indexing
\ No newline at end of file
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index f99a34725..b4461b8b3 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -15,8 +15,8 @@ Below, a summary of the {class}`~geoutils.Raster` object and its methods.
 
 A {class}`~geoutils.Raster` contains **four main attributes**:
 
-1. a {class}`numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`,
-2. an {class}`affine.Affine` as {attr}`~geoutils.Raster.transform`
+1. a {class}`numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`, of either {class}`~numpy.integer` or {class}`~numpy.floating` {class}`~numpy.dtype`,
+2. an {class}`affine.Affine` as {attr}`~geoutils.Raster.transform`,
 3. a {class}`pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`, and
 4. a {class}`float` or {class}`int` as {attr}`~geoutils.Raster.nodata`.
 
@@ -86,7 +86,7 @@ import os
 os.remove("myraster.tif")
 ```
 
-## Create from array
+## Create from {class}`~numpy.ndarray`
 
 A {class}`~geoutils.Raster` is created from an array by calling the class method {func}`~geoutils.Raster.from_array` and passing the 
 {ref}`four main attributes<raster-obj-def>`.
@@ -187,8 +187,8 @@ See {ref}`core-array-funcs` for more details.
 
 ## Reproject
 
-Reprojecting a {class}`~geoutils.Raster` means to enforce a new {attr}`~geoutils.Raster.transform` and/or {class}`~geoutils.Raster.crs`. This is done by the 
-{func}`~geoutils.Raster.reproject` function.
+Reprojecting a {class}`~geoutils.Raster` is done through the{func}`~geoutils.Raster.reproject`, which enforces new {attr}`~geoutils.Raster.transform` and/or 
+{class}`~geoutils.Raster.crs`.
 
 ```{important}
 As with all geospatial handling methods, the {func}`~geoutils.Raster.reproject` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.
@@ -211,11 +211,11 @@ print(raster.bounds)
 
 ```{code-cell} ipython3
 # Reproject to smaller bounds and higher resolution
-raster = raster.reproject(
-    dst_res=0.25, 
+raster_reproj = raster.reproject(
+    dst_res=0.1, 
     dst_bounds={"left": 0, "bottom": 0, "right": 0.75, "top": 0.75}, 
     resampling="cubic")
-raster
+raster_reproj
 ```
 
 ```{code-cell} ipython3
@@ -227,40 +227,113 @@ print(raster.bounds)
 ```{note}
 In GeoUtils, `"bilinear"` is the default resampling method. A simple {class}`str` matching the naming of a {class}`rasterio.enums.Resampling` method can be 
 passed.
-```
 
+Resampling methods are listed in **[the dedicated section of Rasterio's API](https://rasterio.readthedocs.io/en/latest/api/rasterio.enums.html#rasterio.enums.Resampling)**.
+```
 
 ## Crop
 
-{func}`geoutils.Raster.reproject`
+Cropping a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster.crop` function, which enforces new {attr}`~geoutils.Raster.bounds`. 
 
-For rasters with different coordinate systems, resolutions or grids, reprojection is needed to fit one raster to another.
-`Raster.reproject()` is apt for these use-cases:
+```{important}
+As with all geospatial handling methods, the {func}`~geoutils.Raster.reproject` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.
+Vector` as argument. 
 
-```{literalinclude} code/raster-basics_cropping_and_reprojecting.py
-:lines: 11
+See {ref}`core-match-ref` for more details.
 ```
 
-This call will crop, project and resample the `larger_raster` to fit the `smaller_raster` exactly.
-By default, `Raster.resample()` uses nearest neighbour resampling, which is good for fast reprojections, but may induce unintended artefacts when precision is important.
-It is therefore recommended to choose the method that fits the purpose best, using the `resampling=` keyword argument:
+The {func}`~geoutils.Raster.crop` function can also be passed a {class}`list` or {class}`tuple` of bounds (`xmin`, `ymin`, `xmax`, `ymax`). 
+For more details, see the {ref}`specific section and function descriptions in the API<api-geo-handle>`.
 
-1. `resampling="nearest"`: Default. Performant but is not good for changes in resolution and grid.
-2. `resampling="bilinear"`: Good when changes in resolution and grid are involved.
-3. `resampling="cubic_spline"`: Often considered the best approach. Not as performant as simpler methods.
 
-All valid resampling methods can be seen in the [Rasterio documentation](https://rasterio.readthedocs.io/en/latest/api/rasterio.enums.html#rasterio.enums.Resampling).
-
-```{eval-rst}
-.. minigallery:: geoutils.Raster
-        :add-heading:
-        :heading-level: -
+```{code-cell} ipython3
+# Crop to smaller bounds
+raster_crop = raster.crop(cropGeom=(0.3, 0.3, 1, 1), inplace=False)
+raster_crop
 ```
 
 ## Polygonize
 
+Polygonizing a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster.polygonize` function, which converts target pixels into a multi-polygon 
+{class}`~geoutils.Vector`.
+
+By default, values equal to `1` are used.
+
+```{note}
+For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.polygonize` implicitly targets `True` values and thus does not require target pixels.
+```
+
+```{code-cell} ipython3
+# Polygonize all values lower than 100
+
+vector_lt_100 = (raster < 100).polygonize()
+vector_lt_100
+```
+
 ## Proximity
 
+Computing proximity from a {class}`~geoutils.Raster` is done through by the {func}`~geoutils.Raster.proximity` function, which computes the distance to any 
+target pixels in the {class}`~geoutils.Raster`.
+
+```{note}
+For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.proximity` implicitly targets `True` values and thus does not require target pixels.
+```
+
+```{code-cell} ipython3
+# Compute proximity from mask for all values lower than 100
+proximity_lt_100 = (raster < 100).proximity()
+proximity_lt_100
+```
+
+Optionally, instead of target pixel values, a {class}`~geoutils.Vector` can be passed to compute the proximity from the geometry.
+
+```{code-cell} ipython3
+# Compute proximity from mask for all values lower than 100
+proximity_lt_100_from_vector = raster.proximity(vector=vector_lt_100)
+proximity_lt_100_from_vector
+```
+
 ## Interpolate or extract to point
 
-## Export
\ No newline at end of file
+Interpolating or extracting {class}`~geoutils.Raster` values at specific points can be done through:
+- the {func}`~geoutils.Raster.value_at_coords` function, who extracts the single closest pixel or a surrounding window for each coordinate, on which
+  can be applied reducing any function ({func}`numpy.ma.mean` by default), or
+- the {func}`~geoutils.Raster.interp_points` function, who interpolates the {class}`~geoutils.Raster`'s regular grid to each coordinate using a 
+  resampling algorithm.
+
+```{code-cell} ipython3
+# Extract median value in a 3 x 3 pixel window
+raster_reproj.value_at_coords(x=0.5, y=0.5, reducer_function=np.ma.median)
+```
+
+```{code-cell} ipython3
+# Interpolate coordinate value with quintic algorithm
+raster_reproj.interp_points([(0.5, 0.5)], mode="quintic")
+```
+
+```{note}
+Both {func}`~geoutils.Raster.value_at_coords` and {func}`~geoutils.Raster.interp_points` can be passed a single coordinate as {class}`floats<float>`, or a 
+{class}`list` of coordinates.
+```
+
+## Export
+
+A {class}`~geoutils.Raster` can be exported to different formats, to facilitate inter-compatibility with different packages and code versions.
+
+Those include exporting to:
+- a {class}`xarray.Dataset` with {class}`~geoutils.Raster.to_xarray`, 
+- a {class}`rasterio.DatasetReader` with {class}`~geoutils.Raster.to_rio_dataset`, 
+- a {class}`numpy.ndarray`, {class}`geopandas.GeoDataFrame` or {class}`geoutils.Vector` as a point cloud with {class}`~geoutils.Raster.to_points`.
+
+```{code-cell} ipython3
+# Export to rasterio dataset-reader through a memoryfile
+raster_reproj.to_rio_dataset()
+```
+
+```{code-cell} ipython3
+# Export to geopandas dataframe
+raster_reproj.to_points(as_frame=True)
+```
+
+
+
diff --git a/doc/source/vector_class.md b/doc/source/vector_class.md
index 389126b6e..8050b83b2 100644
--- a/doc/source/vector_class.md
+++ b/doc/source/vector_class.md
@@ -1,70 +1,23 @@
 (vector-class)=
 
-# The georeferenced vector (`Vector`)
+# The georeferenced vector ({class}`~geoutils.Vector`)
 
-## Object definition
+Below, a summary of the {class}`~geoutils.Vector` object and its methods.
 
-The Vector class builds upon the great functionalities of [GeoPandas](https://geopandas.org/), with the aim to bridge the gap between vector and raster files.
-It uses `geopandas.GeoDataFrame` as a base driver, accessible through `Vector.ds`.
+## Object definition and attributes
 
-## Open and save
-
-```{literalinclude} code/vector-basics_open_file.py
-:lines: 2-6
-```
-
-Printing the Vector shows the underlying `GeoDataFrame` and some extra statistics:
-
-```python
-print(outlines)
-```
+A {class}`~geoutils.Vector` contains **a single main attribute**: a {class}`~geopandas.GeoDataFrame` as {attr}`~geoutils.Vector.ds`.
 
-```{eval-rst}
-.. program-output:: $PYTHON -c "exec(open('code/vector-basics_open_file.py').read()); print(outlines)"
-        :shell:
+All other attributes are derivatives of the {class}`~geopandas.GeoDataFrame`.
 
-```
-
-````{margin} 
-**Example of vector from {func}`~geoutils.Vector.info`:**
-
-```{literalinclude} code/index_vect_info.py
-    :lines: 11-12
-    :language: python
-```
+```{important}
+In short, {class}`~geoutils.Vector` is a "convenience" composition class built on top of GeoPandas, to facilitate interfacing with {class}`~geoutils.Raster`,
+and to allow the addition of more complex vector functionalities.
 
-```{eval-rst}
-.. program-output:: $PYTHON code/index_vect_info.py
-        :shell:
+**All of {class}`~geopandas.GeoDataFrame`'s methods are available directly from a {class}`~geoutils.Vector`**, as if working directly on the {class}`~geopandas.GeoDataFrame`.
 ```
 
-
-````
-
-Masks can easily be generated for use with Rasters:
-
-```{literalinclude} code/vector-basics_open_file.py
-:lines: 8-13
-```
-
-We can prove that glaciers are bright (who could have known!?) by masking the values outside and inside of the glaciers:
-
-```python
-print(f"Inside: {image.data[mask].mean():.1f}, outside: {image.data[~mask].mean():.1f}")
-```
-
-```{eval-rst}
-.. program-output:: $PYTHON -c "exec(open('code/vector-basics_open_file.py').read()); print(f'Inside: {image.data[mask].mean():.1f}, outside: {image.data[~mask].mean():.1f}')"
-        :shell:
-```
-
-TODO: Add rasterize text.
-
-```{eval-rst}
-.. minigallery:: geoutils.Raster
-        :add-heading:
-        :heading-level: -
-```
+## Open and save
 
 
 ## Arithmetic
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 18e118608..a7740b950 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -2854,9 +2854,15 @@ def __init__(
     def __repr__(self) -> str:
         """Convert formal Raster string representation."""
 
+        # If data not loaded, return and string and avoid calling .data
+        if not self.is_loaded:
+            str_data = "not_loaded"
+        else:
+            str_data = "\n       ".join(self.data.__str__().split("\n"))
+
         # Over-ride Raster's method to remove nodata value (always None)
         s = "Mask(\n"+\
-            "  data=" + "\n       ".join(self.data.__str__().split("\n"))+\
+            "  data=" + str_data +\
             "\n  transform="+ "\n            ".join(self.transform.__str__().split("\n"))+\
             "\n  crs=" + self.crs.__str__()+")"
 
@@ -2965,13 +2971,41 @@ def polygonize(
         self, in_value: Number | tuple[Number, Number] | list[Number] | np.ndarray | Literal["all"] = 1
     ) -> Vector:
 
+        # If target values is passed but does not correspond to 0 or 1, raise a warning
         if not isinstance(in_value, (int, np.integer, float, np.floating)) or in_value not in [0, 1]:
             warnings.warn("In-value converted to 1 for polygonizing boolean mask.")
             in_value = 1
 
+        # Convert to unsigned integer and pass to parent method
         self._data = self.data.astype("uint8")
         return super().polygonize(in_value=in_value)
 
+    def proximity(
+        self,
+        vector: Vector | None = None,
+        target_values: list[float] | None = None,
+        geometry_type: str = "boundary",
+        in_or_out: Literal["in"] | Literal["out"] | Literal["both"] = "both",
+        distance_unit: Literal["pixel"] | Literal["georeferenced"] = "georeferenced",
+    ) -> Raster:
+
+        # By default, target True values of the mask
+        if vector is None and target_values is None:
+            target_values = [1]
+
+        # TODO: Adapt target_value into int | list in Raster.proximity
+        # If target values is passed but does not correspond to 0 or 1, raise a warning
+        # if target_values is not None and not isinstance(target_values, (int, np.integer, float, np.floating)) or target_values not in [0, 1]:
+        #     warnings.warn("In-value converted to 1 for polygonizing boolean mask.")
+        #     target_values = [1]
+
+        # Convert to unsigned integer and pass to parent method
+        self._data = self.data.astype("uint8")
+
+        # Need to cast output to Raster before computing proximity, as output will not be boolean (super() would instantiate Mask() again)
+        raster = Raster({"data": self.data, "transform": self.transform, "crs": self.crs, "nodata": self.nodata})
+        return raster.proximity(vector=vector, target_values=target_values, geometry_type=geometry_type, in_or_out=in_or_out, distance_unit=distance_unit)
+
     # Logical bitwise operations
     def __and__(self: Mask, other: Mask) -> Mask:
 

From 683ff9aca96dfd94e2d4191ab66290415cb28ab7 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 20 Feb 2023 15:03:31 -0800
Subject: [PATCH 032/184] Fix behaviour of load() with load_data=False as
 default, add and modify tests

---
 geoutils/georaster/raster.py | 117 +++++++++++++++++++++++------------
 tests/test_georaster.py      |  41 +++++++-----
 2 files changed, 102 insertions(+), 56 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index a7740b950..ada1a1023 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -193,17 +193,21 @@ def _load_rio(
     * window : to load a cropped version
     * resampling : to set the resampling algorithm
     """
-    if transform is not None and shape is not None:
-        if transform == dataset.transform:
-            row_off, col_off = 0, 0
-        else:
-            row_off, col_off = (round(val) for val in dataset.index(transform[2], abs(transform[4])))
-
-        window = rio.windows.Window(col_off, row_off, *shape[::-1])
-    elif sum(param is None for param in [shape, transform]) == 1:
-        raise ValueError("If 'shape' or 'transform' is provided, BOTH must be given.")
-    else:
+    # If out_shape is passed, no need to account for transform and shape
+    if kwargs['out_shape'] is not None:
         window = None
+    else:
+        if transform is not None and shape is not None:
+            if transform == dataset.transform:
+                row_off, col_off = 0, 0
+            else:
+                row_off, col_off = (round(val) for val in dataset.index(transform[2], abs(transform[4])))
+
+            window = rio.windows.Window(col_off, row_off, *shape[::-1])
+        elif sum(param is None for param in [shape, transform]) == 1:
+            raise ValueError("If 'shape' or 'transform' is provided, BOTH must be given.")
+        else:
+            window = None
 
     if indexes is None:
         data = dataset.read(masked=masked, window=window, **kwargs)
@@ -211,7 +215,7 @@ def _load_rio(
         data = dataset.read(indexes=indexes, masked=masked, window=window, **kwargs)
     if len(data.shape) == 2:
         data = data[np.newaxis, :, :]
-    return np.ma.masked_array(data)
+    return data
 
 
 class Raster:
@@ -303,6 +307,7 @@ def __init__(
         self._indexes = indexes
         self._indexes_loaded: int | tuple[int, ...] | None = None
         self._masked = masked
+        self._out_shape: tuple[int, int, int] | None = None
         self._disk_hash: int | None = None
         self._is_modified = True
         self._disk_shape: tuple[int, int, int] | None = None
@@ -342,8 +347,11 @@ def __init__(
                 elif isinstance(filename_or_dataset, rio.io.DatasetReader):
                     ds = filename_or_dataset
                     self.filename = filename_or_dataset.files[0]
-                else:  # This is if it's a MemoryFile
+                # This is if it's a MemoryFile
+                else:
                     ds = filename_or_dataset.open()
+                    # In that case, data has to be loaded
+                    load_data = True
                     self.filename = None
 
                 self.transform = ds.transform
@@ -381,16 +389,23 @@ def __init__(
                 res = tuple(np.asarray(self.res) * downsample)
                 self.transform = rio.transform.from_origin(self.bounds.left, self.bounds.top, res[0], res[1])
 
+            # This will record the downsampled out_shape is data is only loaded later on by .load()
+            self._out_shape = out_shape
+
             if load_data:
                 # Mypy doesn't like the out_shape for some reason. I can't figure out why! (erikmannerfelt, 14/01/2022)
-                self._data = _load_rio(ds, indexes=indexes, masked=masked, out_shape=out_shape)  # type: ignore
-                if isinstance(filename_or_dataset, str):
-                    self._is_modified = False
-                    self._disk_hash = hash((self.data.tobytes(), self.transform, self.crs, self.nodata))
+                # Don't need to pass shape and transform, because out_shape overrides it
+                self.data = _load_rio(ds, indexes=indexes, masked=masked, out_shape=out_shape)  # type: ignore
 
-            # Set nodata
-            if nodata is not None:
-                self.set_nodata(nodata)
+            # Probably don't want to use set_nodata that can update array, setting self._nodata is sufficient
+            # Set nodata only if data is loaded
+            # if nodata is not None and self._data is not None:
+            #     self.set_nodata(self._nodata)
+
+            # If data was loaded explicitly, initiate is_modified and save disk hash
+            if load_data and isinstance(filename_or_dataset, str):
+                self._is_modified = False
+                self._disk_hash = hash((self.data.tobytes(), self.transform, self.crs, self.nodata))
 
         # Provide a catch in case trying to load from data array
         elif isinstance(filename_or_dataset, np.ndarray):
@@ -432,6 +447,10 @@ def width(self) -> int:
     @property
     def shape(self) -> tuple[int, int]:
         """Return a (height, width) tuple of the data shape in pixels."""
+        # If a downsampling argument was defined but data not loaded yet
+        if self._out_shape is not None and not self.is_loaded:
+            return self._out_shape[1], self._out_shape[2]
+        # If data is not loaded, pass the disk shape
         if not self.is_loaded:
             return self._disk_shape[1], self._disk_shape[2]  # type: ignore
         return int(self.data.shape[1]), int(self.data.shape[2])
@@ -503,6 +522,7 @@ def load(self, indexes: None | int | list[int] = None, **kwargs: Any) -> None:
         # Save which indexes are loaded
         self._indexes_loaded = valid_indexes
 
+        # If a downsampled out_shape was defined during instantiation
         with rio.open(self.filename) as dataset:
             self.data = _load_rio(
                 dataset,
@@ -510,9 +530,19 @@ def load(self, indexes: None | int | list[int] = None, **kwargs: Any) -> None:
                 masked=self._masked,
                 transform=self.transform,
                 shape=self.shape,
+                out_shape=self._out_shape,
                 **kwargs,
             )
 
+        # Probably don't want to use set_nodata() that updates the array
+        # Set nodata value with the loaded array
+        # if self._nodata is not None:
+        #     self.set_nodata(nodata=self._nodata)
+
+        # To have is_modified work correctly when data is loaded implicitly (not in init)
+        self._is_modified = False
+        self._disk_hash = hash((self.data.tobytes(), self.transform, self.crs, self.nodata))
+
     @classmethod
     def from_array(
         cls: type[RasterType],
@@ -614,7 +644,11 @@ def __repr__(self) -> str:
 
     def __str__(self) -> str:
         """Provide simplified string for print() about Raster."""
-        s = self.data.__str__()
+
+        if not self.is_loaded:
+            s = "not_loaded"
+        else:
+            s = self.data.__str__()
 
         return s
 
@@ -1133,8 +1167,8 @@ def data(self) -> np.ma.masked_array:
         :returns: data array.
 
         """
-        if not self.is_loaded and self._data is None:
-            raise ValueError("Data are not loaded")
+        if not self.is_loaded:
+            self.load()
         return self._data
 
     @data.setter
@@ -2291,31 +2325,32 @@ def format_value(value: Any) -> Any:
             rio_window = rio.windows.Window(col, row, width, height)
 
             if self.is_loaded:
-                data = self.data[slice(None) if index is None else index, row : row + height, col : col + width]
+                data = self.data[slice(None) if index is None else index - 1, row : row + height, col : col + width]
                 if not masked:
                     data = data.filled()
                 value = format_value(data)
                 win: np.ndarray | dict[int, np.ndarray] = data
 
             else:
-                if self.count == 1:
-                    with rio.open(self.filename) as raster:
-                        data = raster.read(
-                            window=rio_window, fill_value=self.nodata, boundless=boundless, masked=masked
-                        )
-                    value = format_value(data)
-                    win = data
-                else:
-                    value = {}
-                    win = {}
-                    with rio.open(self.filename) as raster:
-                        for b in self.indexes:
-                            data = raster.read(
-                                window=rio_window, fill_value=self.nodata, boundless=boundless, masked=masked, indexes=b
-                            )
-                            val = format_value(data)
-                            value[b] = val
-                            win[b] = data  # type: ignore
+                # TODO: if we want to allow sampling multiple bands, need to do it also when data is loaded
+                # if self.count == 1:
+                with rio.open(self.filename) as raster:
+                    data = raster.read(
+                        window=rio_window, fill_value=self.nodata, boundless=boundless, masked=masked, indexes=index,
+                    )
+                value = format_value(data)
+                win = data
+                # else:
+                #     value = {}
+                #     win = {}
+                #     with rio.open(self.filename) as raster:
+                #         for b in self.indexes:
+                #             data = raster.read(
+                #                 window=rio_window, fill_value=self.nodata, boundless=boundless, masked=masked, indexes=b
+                #             )
+                #             val = format_value(data)
+                #             value[b] = val
+                #             win[b] = data  # type: ignore
 
             list_values.append(value)
             if return_window:
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index bbddf1e8e..653d9cee3 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -102,13 +102,21 @@ def test_init(self, example: str) -> None:
         r4 = gr.Raster(memfile)
         assert isinstance(r4, gr.Raster)
 
+        # All rasters should be equal
         assert all(
             [r0.raster_equal(r1), r0.raster_equal(r1), r0.raster_equal(r2), r0.raster_equal(r3), r0.raster_equal(r4)]
         )
 
-        # The data will not be copied, immutable objects will
+        # For re-instantiation via Raster (r2 above), we check the behaviour:
+        # By default, raster were unloaded, and were loaded during raster_equal() independently
+        # So the instances should not be pointing to the same data and not mirror modifs
         r0.data[0, 0, 0] += 5
-        assert r2.data[0, 0, 0] == r0.data[0, 0, 0]
+        assert r2.data[0, 0, 0] != r0.data[0, 0, 0]
+
+        # However, if we reinstantiate now that the data is loaded, it should point to the same
+        r5 = gr.Raster(r0)
+        r0.data[0, 0, 0] += 5
+        assert r5.data[0, 0, 0] == r0.data[0, 0, 0]
 
         # With r.count = 2
         r0._data = np.repeat(r0.data, 2).reshape((2,) + r0.shape)
@@ -129,12 +137,9 @@ def test_info(self, example: str) -> None:
             for attr in _default_rio_attrs:
                 assert r.__getattribute__(attr) == dataset.__getattribute__(attr)
 
-        # Check summary matches that of RIO
-        assert str(r) == r.info()
-
         # Check that the stats=True flag doesn't trigger a warning
         with warnings.catch_warnings():
-            warnings.simplefilter("error")
+            warnings.filterwarnings("ignore", message="New nodata.*", category=UserWarning)
             stats = r.info(stats=True)
 
         # Check the stats adapt to nodata values
@@ -161,10 +166,17 @@ def test_loading(self) -> None:
         """
         Test that loading metadata and data works for all possible cases.
         """
+        # Test 0 - test that loading explicitly via load() or implicitly via .data is similar
+        r_explicit = gr.Raster(self.landsat_b4_path, load_data=True)
+        r_implicit = gr.Raster(self.landsat_b4_path)
+
+        assert r_explicit.raster_equal(r_implicit)
+
         # Test 1 - loading metadata only, single band
         # For the first example with Landsat B4
-        r = gr.Raster(self.landsat_b4_path, load_data=False)
+        r = gr.Raster(self.landsat_b4_path)
 
+        assert not r.is_loaded
         assert r.driver == "GTiff"
         assert r.width == 800
         assert r.height == 655
@@ -178,11 +190,11 @@ def test_loading(self) -> None:
         assert np.array_equal(r.res, [30.0, 30.0])
         assert r.bounds == rio.coords.BoundingBox(left=478000.0, bottom=3088490.0, right=502000.0, top=3108140.0)
         assert r.crs == rio.crs.CRS.from_epsg(32645)
-        assert not r.is_loaded
 
         # And the second example with ASTER DEM
-        r2 = gr.Raster(self.aster_dem_path, load_data=False)
+        r2 = gr.Raster(self.aster_dem_path)
 
+        assert not r2.is_loaded
         assert r2.driver == "GTiff"
         assert r2.width == 539
         assert r2.height == 618
@@ -196,7 +208,6 @@ def test_loading(self) -> None:
         assert np.array_equal(r2.res, [30.0, 30.0])
         assert r2.bounds == rio.coords.BoundingBox(left=627175.0, bottom=4833545.0, right=643345.0, top=4852085.0)
         assert r2.crs == rio.crs.CRS.from_epsg(32718)
-        assert not r2.is_loaded
 
         # Test 2 - loading the data afterward
         r.load()
@@ -1456,9 +1467,9 @@ def test_value_at_coords(self) -> None:
         itest = itest[0]
         jtest = jtest[0]
         # Extract the values
-        z_band1 = r_multi.value_at_coords(xtest0, ytest0, index=0)
-        z_band2 = r_multi.value_at_coords(xtest0, ytest0, index=1)
-        z_band3 = r_multi.value_at_coords(xtest0, ytest0, index=2)
+        z_band1 = r_multi.value_at_coords(xtest0, ytest0, index=1)
+        z_band2 = r_multi.value_at_coords(xtest0, ytest0, index=2)
+        z_band3 = r_multi.value_at_coords(xtest0, ytest0, index=3)
         # Compare to the Raster array slice
         assert list(r_multi.data[:, itest, jtest]) == [z_band1, z_band2, z_band3]
 
@@ -1471,7 +1482,7 @@ def test_value_at_coords(self) -> None:
 
         # 4/ Window argument
         val_window, z_window = r_multi.value_at_coords(
-            xtest0, ytest0, index=0, window=3, masked=True, return_window=True
+            xtest0, ytest0, index=1, window=3, masked=True, return_window=True
         )
         assert (
             val_window
@@ -1482,7 +1493,7 @@ def test_value_at_coords(self) -> None:
 
         # 5/ Reducer function argument
         val_window2 = r_multi.value_at_coords(
-            xtest0, ytest0, index=0, window=3, masked=True, reducer_function=np.ma.median
+            xtest0, ytest0, index=1, window=3, masked=True, reducer_function=np.ma.median
         )
         assert val_window2 == np.ma.median(r_multi.data[0, itest - 1 : itest + 2, jtest - 1 : jtest + 2])
 

From 56fae7cc5065f999d29b985cf7eb52f9ce4718ab Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 20 Feb 2023 15:59:34 -0800
Subject: [PATCH 033/184] Add _repr_html_ functions

---
 doc/source/raster_class.md   |  1 -
 geoutils/georaster/raster.py | 36 ++++++++++++++++++++++++++++++++++++
 2 files changed, 36 insertions(+), 1 deletion(-)

diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index b4461b8b3..c39d53913 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -69,7 +69,6 @@ Detailed information on the {class}`~geoutils.Raster` is printed using {class}`~
 print(raster.info(stats=True))
 ```
 
-
 ```{note}
 Calling {class}`~geoutils.Raster.info()` with `stats=True` automatically loads the array in-memory, like any other operation calling {attr}`~geoutils.Raster.data`.
 ```
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index ada1a1023..6b20dafc3 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -642,6 +642,24 @@ def __repr__(self) -> str:
 
         # return s
 
+    def _repr_html_(self) -> str:
+        """Convert to HTML representation for notebooks and docs"""
+
+        # If data not loaded, return and string and avoid calling .data
+        if not self.is_loaded:
+            str_data = "<i>not_loaded</i>"
+        else:
+            str_data = "\n       ".join(self.data.__str__().split("\n"))
+
+        # Over-ride Raster's method to remove nodata value (always None)
+        # Use <pre> to keep white spaces, <span> to keep line breaks
+        s = '<pre><span style="white-space: pre-wrap"><b><em>'+self.__class__.__name__+'</em></b>(\n' + \
+            "  <b>data=</b>" + str_data + \
+            "\n  <b>transform=</b>" + "\n            ".join(self.transform.__str__().split("\n")) + \
+            "\n  <b>crs=</b>" + self.crs.__str__() + ")</span></pre>"
+
+        return s
+
     def __str__(self) -> str:
         """Provide simplified string for print() about Raster."""
 
@@ -2903,6 +2921,24 @@ def __repr__(self) -> str:
 
         return s
 
+    def _repr_html_(self) -> str:
+        """Convert to HTML representation for notebooks and docs"""
+
+        # If data not loaded, return and string and avoid calling .data
+        if not self.is_loaded:
+            str_data = "<i>not_loaded</i>"
+        else:
+            str_data = "\n       ".join(self.data.__str__().split("\n"))
+
+        # Over-ride Raster's method to remove nodata value (always None)
+        # Use <pre> to keep white spaces, <span> to keep line breaks
+        s = '<pre><span style="white-space: pre-wrap"><b><em>Mask</em></b>(\n' + \
+            "  <b>data=</b>" + str_data + \
+            "\n  <b>transform=</b>" + "\n            ".join(self.transform.__str__().split("\n")) + \
+            "\n  <b>crs=</b>" + self.crs.__str__() + ")</span></pre>"
+
+        return s
+
     def reproject(
         self: Mask,
         dst_ref: RasterType | rio.io.Dataset | str | None = None,

From d747d62257e49807c8e4ded1a2dec17c3fb5a7d8 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 20 Feb 2023 16:05:01 -0800
Subject: [PATCH 034/184] Fix behaviour with load_data=False in
 _overloading_check and tests in satimg

---
 geoutils/georaster/raster.py | 7 ++++---
 tests/test_satimg.py         | 2 +-
 2 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 6b20dafc3..69cff1ce7 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -733,9 +733,10 @@ def _overloading_check(
 
         # Case 1 - other is a Raster
         if isinstance(other, Raster):
-            # Check that both data are loaded
-            if not (self.is_loaded & other.is_loaded):
-                raise ValueError("Raster's data must be loaded with self.load().")
+            # Not necessary anymore with implicit loading
+            # # Check that both data are loaded
+            # if not (self.is_loaded & other.is_loaded):
+            #     raise ValueError("Raster's data must be loaded with self.load().")
 
             # Check that both rasters have the same shape and georeferences
             if (self.data.shape == other.data.shape) & (self.transform == other.transform) & (self.crs == other.crs):
diff --git a/tests/test_satimg.py b/tests/test_satimg.py
index b13bb886a..6662cd075 100644
--- a/tests/test_satimg.py
+++ b/tests/test_satimg.py
@@ -135,7 +135,7 @@ def test_copy(self, example: str) -> None:
         satimg_attrs = ["satellite", "sensor", "product", "version", "tile_name", "datetime"]
         # using list directly available in Class
         attrs = georaster_attrs + satimg_attrs
-        all_attrs = attrs + gr.satimg_attrs
+        all_attrs = attrs + gr.satimg.satimg_attrs
         for attr in all_attrs:
             assert r.__getattribute__(attr) == r2.__getattribute__(attr)
 

From caea527016a563dd2bdc2ae89b1c9e1e718253ac Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 20 Feb 2023 18:37:36 -0800
Subject: [PATCH 035/184] Update quick start with myst-nd and start new gallery
 of examples

---
 .../analysis_examples_jupyter.zip             | Bin 0 -> 22 bytes
 .../analysis_examples_python.zip              | Bin 0 -> 22 bytes
 doc/source/analysis_examples/index.rst        |  38 +++
 doc/source/analysis_examples/searchindex.bak  |   3 +
 doc/source/analysis_examples/searchindex.dat  | Bin 0 -> 84326 bytes
 doc/source/analysis_examples/searchindex.dir  |   3 +
 doc/source/api.md                             |   1 +
 doc/source/code/index_example.py              |  49 ----
 doc/source/code/index_rast_info.py            |  12 -
 doc/source/code/index_vect_info.py            |  12 -
 ...raster-basics_cropping_and_reprojecting.py |  11 -
 doc/source/code/raster-basics_open_file.py    |  15 --
 doc/source/code/satimg-basics_open_file.py    |   6 -
 doc/source/code/vector-basics_open_file.py    |  16 --
 doc/source/conf.py                            |   8 +-
 doc/source/core_composition.md                |   2 +-
 .../handling_examples_jupyter.zip             | Bin 0 -> 7010 bytes
 .../handling_examples_python.zip              | Bin 0 -> 1580 bytes
 .../images/sphx_glr_read_raster_001.png       | Bin 0 -> 213447 bytes
 .../images/sphx_glr_read_satimg_001.png       | Bin 0 -> 151024 bytes
 .../images/sphx_glr_read_vector_001.png       | Bin 0 -> 100827 bytes
 .../thumb/sphx_glr_read_raster_thumb.png      | Bin 0 -> 92341 bytes
 .../thumb/sphx_glr_read_satimg_thumb.png      | Bin 0 -> 70802 bytes
 .../thumb/sphx_glr_read_vector_thumb.png      | Bin 0 -> 53375 bytes
 doc/source/handling_examples/index.rst        |  37 +++
 .../handling_examples/read_raster.ipynb       | 108 +++++++++
 .../source/handling_examples}/read_raster.py  |   0
 .../handling_examples/read_raster.py.md5      |   1 +
 doc/source/handling_examples/read_raster.rst  | 131 +++++++++++
 .../read_raster_codeobj.pickle                | Bin 0 -> 975 bytes
 .../handling_examples/read_satimg.ipynb       | 108 +++++++++
 .../source/handling_examples}/read_satimg.py  |   0
 .../handling_examples/read_satimg.py.md5      |   1 +
 doc/source/handling_examples/read_satimg.rst  | 130 +++++++++++
 .../read_satimg_codeobj.pickle                | Bin 0 -> 991 bytes
 .../handling_examples/read_vector.ipynb       | 108 +++++++++
 .../source/handling_examples}/read_vector.py  |   0
 .../handling_examples/read_vector.py.md5      |   1 +
 doc/source/handling_examples/read_vector.rst  | 150 ++++++++++++
 .../read_vector_codeobj.pickle                | Bin 0 -> 2764 bytes
 doc/source/handling_examples/searchindex.bak  |   3 +
 doc/source/handling_examples/searchindex.dat  | Bin 0 -> 84326 bytes
 doc/source/handling_examples/searchindex.dir  |   3 +
 .../handling_examples/sg_execution_times.rst  |  16 ++
 doc/source/index.md                           |   4 +-
 .../images/sphx_glr_read_raster_001.png       | Bin 0 -> 213447 bytes
 .../images/sphx_glr_read_satimg_001.png       | Bin 0 -> 151024 bytes
 .../images/sphx_glr_read_vector_001.png       | Bin 0 -> 100827 bytes
 .../thumb/sphx_glr_read_raster_thumb.png      | Bin 0 -> 92341 bytes
 .../thumb/sphx_glr_read_satimg_thumb.png      | Bin 0 -> 70802 bytes
 .../thumb/sphx_glr_read_vector_thumb.png      | Bin 0 -> 53375 bytes
 doc/source/io_examples/index.rst              |  96 ++++++++
 .../io_examples/io_examples_jupyter.zip       | Bin 0 -> 8208 bytes
 doc/source/io_examples/io_examples_python.zip | Bin 0 -> 2205 bytes
 doc/source/io_examples/read_raster.ipynb      | 144 ++++++++++++
 doc/source/io_examples/read_raster.py         |  32 +++
 doc/source/io_examples/read_raster.py.md5     |   1 +
 doc/source/io_examples/read_raster.rst        | 217 ++++++++++++++++++
 .../io_examples/read_raster_codeobj.pickle    | Bin 0 -> 1481 bytes
 doc/source/io_examples/read_satimg.ipynb      | 108 +++++++++
 doc/source/io_examples/read_satimg.py         |  23 ++
 doc/source/io_examples/read_satimg.py.md5     |   1 +
 doc/source/io_examples/read_satimg.rst        | 130 +++++++++++
 .../io_examples/read_satimg_codeobj.pickle    | Bin 0 -> 991 bytes
 doc/source/io_examples/read_vector.ipynb      | 108 +++++++++
 doc/source/io_examples/read_vector.py         |  25 ++
 doc/source/io_examples/read_vector.py.md5     |   1 +
 doc/source/io_examples/read_vector.rst        | 150 ++++++++++++
 .../io_examples/read_vector_codeobj.pickle    | Bin 0 -> 2764 bytes
 doc/source/io_examples/searchindex.bak        |   3 +
 doc/source/io_examples/searchindex.dat        | Bin 0 -> 84326 bytes
 doc/source/io_examples/searchindex.dir        |   3 +
 doc/source/io_examples/sg_execution_times.rst |  16 ++
 doc/source/mask_class.md                      |  22 +-
 doc/source/quick_start.md                     | 103 ++++++---
 doc/source/raster_class.md                    |  18 +-
 doc/source/satimg_class.md                    |  59 +++--
 examples/README.rst                           |   4 -
 examples/analysis/README.rst                  |   5 +
 examples/handling/README.rst                  |   4 +
 examples/io/README.rst                        |   4 +
 examples/io/read_raster.py                    |  32 +++
 examples/io/read_satimg.py                    |  23 ++
 examples/io/read_vector.py                    |  25 ++
 geoutils/georaster/raster.py                  |  10 +-
 85 files changed, 2144 insertions(+), 200 deletions(-)
 create mode 100644 doc/source/analysis_examples/analysis_examples_jupyter.zip
 create mode 100644 doc/source/analysis_examples/analysis_examples_python.zip
 create mode 100644 doc/source/analysis_examples/index.rst
 create mode 100644 doc/source/analysis_examples/searchindex.bak
 create mode 100644 doc/source/analysis_examples/searchindex.dat
 create mode 100644 doc/source/analysis_examples/searchindex.dir
 delete mode 100644 doc/source/code/index_example.py
 delete mode 100644 doc/source/code/index_rast_info.py
 delete mode 100644 doc/source/code/index_vect_info.py
 delete mode 100644 doc/source/code/raster-basics_cropping_and_reprojecting.py
 delete mode 100644 doc/source/code/raster-basics_open_file.py
 delete mode 100644 doc/source/code/satimg-basics_open_file.py
 delete mode 100644 doc/source/code/vector-basics_open_file.py
 create mode 100644 doc/source/handling_examples/handling_examples_jupyter.zip
 create mode 100644 doc/source/handling_examples/handling_examples_python.zip
 create mode 100644 doc/source/handling_examples/images/sphx_glr_read_raster_001.png
 create mode 100644 doc/source/handling_examples/images/sphx_glr_read_satimg_001.png
 create mode 100644 doc/source/handling_examples/images/sphx_glr_read_vector_001.png
 create mode 100644 doc/source/handling_examples/images/thumb/sphx_glr_read_raster_thumb.png
 create mode 100644 doc/source/handling_examples/images/thumb/sphx_glr_read_satimg_thumb.png
 create mode 100644 doc/source/handling_examples/images/thumb/sphx_glr_read_vector_thumb.png
 create mode 100644 doc/source/handling_examples/index.rst
 create mode 100644 doc/source/handling_examples/read_raster.ipynb
 rename {examples => doc/source/handling_examples}/read_raster.py (100%)
 create mode 100644 doc/source/handling_examples/read_raster.py.md5
 create mode 100644 doc/source/handling_examples/read_raster.rst
 create mode 100644 doc/source/handling_examples/read_raster_codeobj.pickle
 create mode 100644 doc/source/handling_examples/read_satimg.ipynb
 rename {examples => doc/source/handling_examples}/read_satimg.py (100%)
 create mode 100644 doc/source/handling_examples/read_satimg.py.md5
 create mode 100644 doc/source/handling_examples/read_satimg.rst
 create mode 100644 doc/source/handling_examples/read_satimg_codeobj.pickle
 create mode 100644 doc/source/handling_examples/read_vector.ipynb
 rename {examples => doc/source/handling_examples}/read_vector.py (100%)
 create mode 100644 doc/source/handling_examples/read_vector.py.md5
 create mode 100644 doc/source/handling_examples/read_vector.rst
 create mode 100644 doc/source/handling_examples/read_vector_codeobj.pickle
 create mode 100644 doc/source/handling_examples/searchindex.bak
 create mode 100644 doc/source/handling_examples/searchindex.dat
 create mode 100644 doc/source/handling_examples/searchindex.dir
 create mode 100644 doc/source/handling_examples/sg_execution_times.rst
 create mode 100644 doc/source/io_examples/images/sphx_glr_read_raster_001.png
 create mode 100644 doc/source/io_examples/images/sphx_glr_read_satimg_001.png
 create mode 100644 doc/source/io_examples/images/sphx_glr_read_vector_001.png
 create mode 100644 doc/source/io_examples/images/thumb/sphx_glr_read_raster_thumb.png
 create mode 100644 doc/source/io_examples/images/thumb/sphx_glr_read_satimg_thumb.png
 create mode 100644 doc/source/io_examples/images/thumb/sphx_glr_read_vector_thumb.png
 create mode 100644 doc/source/io_examples/index.rst
 create mode 100644 doc/source/io_examples/io_examples_jupyter.zip
 create mode 100644 doc/source/io_examples/io_examples_python.zip
 create mode 100644 doc/source/io_examples/read_raster.ipynb
 create mode 100644 doc/source/io_examples/read_raster.py
 create mode 100644 doc/source/io_examples/read_raster.py.md5
 create mode 100644 doc/source/io_examples/read_raster.rst
 create mode 100644 doc/source/io_examples/read_raster_codeobj.pickle
 create mode 100644 doc/source/io_examples/read_satimg.ipynb
 create mode 100644 doc/source/io_examples/read_satimg.py
 create mode 100644 doc/source/io_examples/read_satimg.py.md5
 create mode 100644 doc/source/io_examples/read_satimg.rst
 create mode 100644 doc/source/io_examples/read_satimg_codeobj.pickle
 create mode 100644 doc/source/io_examples/read_vector.ipynb
 create mode 100644 doc/source/io_examples/read_vector.py
 create mode 100644 doc/source/io_examples/read_vector.py.md5
 create mode 100644 doc/source/io_examples/read_vector.rst
 create mode 100644 doc/source/io_examples/read_vector_codeobj.pickle
 create mode 100644 doc/source/io_examples/searchindex.bak
 create mode 100644 doc/source/io_examples/searchindex.dat
 create mode 100644 doc/source/io_examples/searchindex.dir
 create mode 100644 doc/source/io_examples/sg_execution_times.rst
 delete mode 100644 examples/README.rst
 create mode 100644 examples/analysis/README.rst
 create mode 100644 examples/handling/README.rst
 create mode 100644 examples/io/README.rst
 create mode 100644 examples/io/read_raster.py
 create mode 100644 examples/io/read_satimg.py
 create mode 100644 examples/io/read_vector.py

diff --git a/doc/source/analysis_examples/analysis_examples_jupyter.zip b/doc/source/analysis_examples/analysis_examples_jupyter.zip
new file mode 100644
index 0000000000000000000000000000000000000000..15cb0ecb3e219d1701294bfdf0fe3f5cb5d208e7
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diff --git a/doc/source/analysis_examples/analysis_examples_python.zip b/doc/source/analysis_examples/analysis_examples_python.zip
new file mode 100644
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diff --git a/doc/source/analysis_examples/index.rst b/doc/source/analysis_examples/index.rst
new file mode 100644
index 000000000..9c2be7621
--- /dev/null
+++ b/doc/source/analysis_examples/index.rst
@@ -0,0 +1,38 @@
+:orphan:
+
+Analysis
+========
+
+Examples about numerical operations on rasters, computing proximity and buffer without overlap.
+
+
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbnails">
+
+
+.. raw:: html
+
+    </div>
+
+
+.. only:: html
+
+  .. container:: sphx-glr-footer sphx-glr-footer-gallery
+
+    .. container:: sphx-glr-download sphx-glr-download-python
+
+      :download:`Download all examples in Python source code: analysis_examples_python.zip </analysis_examples/analysis_examples_python.zip>`
+
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+      :download:`Download all examples in Jupyter notebooks: analysis_examples_jupyter.zip </analysis_examples/analysis_examples_jupyter.zip>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/analysis_examples/searchindex.bak b/doc/source/analysis_examples/searchindex.bak
new file mode 100644
index 000000000..38a7775ad
--- /dev/null
+++ b/doc/source/analysis_examples/searchindex.bak
@@ -0,0 +1,3 @@
+'/home/atom/code/devel/libs/geoutils/doc/build/index.html', (0, 35132)
+'/home/atom/code/devel/libs/geoutils/doc/build/_static/documentation_options.js', (35328, 440)
+'/home/atom/code/devel/libs/geoutils/doc/build/searchindex.js', (35840, 48486)
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diff --git a/doc/source/analysis_examples/searchindex.dir b/doc/source/analysis_examples/searchindex.dir
new file mode 100644
index 000000000..38a7775ad
--- /dev/null
+++ b/doc/source/analysis_examples/searchindex.dir
@@ -0,0 +1,3 @@
+'/home/atom/code/devel/libs/geoutils/doc/build/index.html', (0, 35132)
+'/home/atom/code/devel/libs/geoutils/doc/build/_static/documentation_options.js', (35328, 440)
+'/home/atom/code/devel/libs/geoutils/doc/build/searchindex.js', (35840, 48486)
diff --git a/doc/source/api.md b/doc/source/api.md
index ba60ee9f0..cf9f2c234 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -244,6 +244,7 @@ And reverse operations.
     Mask.crop
     Mask.reproject
     Mask.polygonize
+    Mask.proximity
 ```
 
 ## Vectors
diff --git a/doc/source/code/index_example.py b/doc/source/code/index_example.py
deleted file mode 100644
index dd1f602f2..000000000
--- a/doc/source/code/index_example.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import geoutils as gu
-
-# Examples files: infrared band of Landsat and glacier outlines
-filename_rast = gu.examples.get_path("everest_landsat_b4")
-filename_vect = gu.examples.get_path("everest_rgi_outlines")
-
-# Open files
-rast = gu.Raster(filename_rast)
-vect = gu.Vector(filename_vect)
-
-# Open file as a satellite image
-import os
-print(os.path.basename(filename_rast))
-rast = gu.SatelliteImage(filename_rast, silent=False)
-
-# Crop raster to vector's extent
-rast.crop(vect)
-
-# Compute proximity to vector on raster's grid
-rast_proximity_to_vec = vect.proximity(rast)
-
-# Add 1 to the raster array
-rast += 1
-
-# Apply a normalization to the raster
-import numpy as np
-rast = (rast - np.min(rast)) / (np.max(rast) - np.min(rast))
-
-# Get mask of an AOI: infrared index above 0.7, at least 200 m from glaciers
-mask_aoi = np.logical_and(rast > 0.7, rast_proximity_to_vec > 200)
-
-# Index raster with mask to extract a 1-D array
-values_aoi = rast[mask_aoi]
-
-# Polygonize areas where mask is True
-vect_aoi = mask_aoi.polygonize()
-
-# Plot result
-import matplotlib.pyplot as plt
-fig = plt.figure()
-ax = plt.gca()
-rast.show(ax=ax, cmap='Reds', cb_title='Normalized infrared')
-vect_aoi.ds.plot(ax=ax, fc='none', ec='k', lw=0.5)
-
-# Save final raster and vector to files
-# rast.save()
-# vect_aoi.save()
-
-#TODO: maybe add glacier outlines also above, once the plotting through Vector is simplified
diff --git a/doc/source/code/index_rast_info.py b/doc/source/code/index_rast_info.py
deleted file mode 100644
index 44914008d..000000000
--- a/doc/source/code/index_rast_info.py
+++ /dev/null
@@ -1,12 +0,0 @@
-import geoutils as gu
-
-# Examples files
-filename_rast = gu.examples.get_path("everest_landsat_b4")
-filename_vect = gu.examples.get_path("everest_rgi_outlines")
-
-# Open files
-rast = gu.Raster(filename_rast)
-vect = gu.Vector(filename_vect)
-
-# Print raster metadata info
-print(rast.info())
\ No newline at end of file
diff --git a/doc/source/code/index_vect_info.py b/doc/source/code/index_vect_info.py
deleted file mode 100644
index 2fce27336..000000000
--- a/doc/source/code/index_vect_info.py
+++ /dev/null
@@ -1,12 +0,0 @@
-import geoutils as gu
-
-# Examples files
-filename_rast = gu.examples.get_path("everest_landsat_b4")
-filename_vect = gu.examples.get_path("everest_rgi_outlines")
-
-# Open files
-rast = gu.Raster(filename_rast)
-vect = gu.Vector(filename_vect)
-
-# Print vector metadata info
-print(vect.info())
\ No newline at end of file
diff --git a/doc/source/code/raster-basics_cropping_and_reprojecting.py b/doc/source/code/raster-basics_cropping_and_reprojecting.py
deleted file mode 100644
index 4be5f6a95..000000000
--- a/doc/source/code/raster-basics_cropping_and_reprojecting.py
+++ /dev/null
@@ -1,11 +0,0 @@
-"""Exemplify uses of crop and reproject."""
-import geoutils as gu
-
-large_image = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
-
-smaller_image = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
-# TEXT
-large_image_orig = large_image.copy()  # Since it gets modified inplace, we want to keep it to print stats.
-large_image.crop(smaller_image)
-# TEXT
-large_image_reprojected = large_image_orig.reproject(smaller_image, dst_nodata=0)
diff --git a/doc/source/code/raster-basics_open_file.py b/doc/source/code/raster-basics_open_file.py
deleted file mode 100644
index eb10fc13b..000000000
--- a/doc/source/code/raster-basics_open_file.py
+++ /dev/null
@@ -1,15 +0,0 @@
-"""Example scripts to open and print information about a raster."""
-import geoutils as gu
-
-# Fetch an example file
-filename = gu.examples.get_path("everest_landsat_b4")
-
-# Open the file
-image = gu.Raster(filename)
-#### TEXT
-information = image.info()
-#### TEXT
-information = image.info(stats=True)
-#### TEXT
-with open("file.txt", "w") as fh:
-    fh.writelines(information)
diff --git a/doc/source/code/satimg-basics_open_file.py b/doc/source/code/satimg-basics_open_file.py
deleted file mode 100644
index 80613b8a2..000000000
--- a/doc/source/code/satimg-basics_open_file.py
+++ /dev/null
@@ -1,6 +0,0 @@
-"""Example script to load a satellite image."""
-import geoutils as gu
-
-filename = gu.examples.get_path("everest_landsat_b4_cropped")
-
-satimg = gu.SatelliteImage(filename)
diff --git a/doc/source/code/vector-basics_open_file.py b/doc/source/code/vector-basics_open_file.py
deleted file mode 100644
index a1d683f62..000000000
--- a/doc/source/code/vector-basics_open_file.py
+++ /dev/null
@@ -1,16 +0,0 @@
-"""Example script to load a vector file."""
-import warnings
-
-warnings.simplefilter("ignore")  # Temporarily filter warnings since something's up with GeoPandas (2021-05-20).
-import geoutils as gu
-
-filename = gu.examples.get_path("everest_rgi_outlines")
-
-outlines = gu.Vector(filename)
-# TEXT
-# Load an example Landsat image
-filename = gu.examples.get_path("everest_landsat_b4")
-image = gu.Raster(filename)
-
-# Generate a boolean mask from the glacier outlines.
-mask = outlines.create_mask(image)
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 99aa20ef8..b7336b425 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -54,8 +54,12 @@
 }
 
 sphinx_gallery_conf = {
-    "examples_dirs": os.path.join(os.path.dirname(__file__), "../", "../", "examples"),  # path to your example scripts
-    "gallery_dirs": "auto_examples",  # path to where to save gallery generated output
+    "examples_dirs": [
+        os.path.join(os.path.dirname(__file__), "../", "../", "examples/io"),
+        os.path.join(os.path.dirname(__file__), "../", "../", "examples/handling"),
+        os.path.join(os.path.dirname(__file__), "../", "../", "examples/analysis"),
+    ],  # path to your example scripts
+    "gallery_dirs": ["io_examples", "handling_examples", "analysis_examples"],  # path to where to save gallery generated output
     "inspect_global_variables": True,  # Make links to the class/function definitions.
     "reference_url": {
         # The module you locally document uses None
diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
index c7224b5e8..c5fb753d8 100644
--- a/doc/source/core_composition.md
+++ b/doc/source/core_composition.md
@@ -47,7 +47,7 @@ print(raster.info())
 ```
 
 ```{important}
-The {class}`~geoutils.Raster` is not a composition of either a {class}`rasterio.DatasetReader`, a {class}`rasterio.MemoryFile` or a {class}`rasterio.DatasetWriter`. 
+The {class}`~geoutils.Raster` is not a composition of either a {class}`rasterio.io.DatasetReader`, a {class}`rasterio.io.MemoryFile` or a {class}`rasterio.io.DatasetWriter`. 
 It is only linked to those objects to initiate a {class}`~geoutils.Raster` instance which first loads the metadata (notably the three main metadata attributes 
 {attr}`~geoutils.Raster.crs`, {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.nodata`). 
 Then, explicity or implicitly, it can also {class}`~geoutils.Raster.load` the array data when an **on-disk** dataset exists, or {class}`~geoutils.Raster.save` the **in-memory** 
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diff --git a/doc/source/handling_examples/index.rst b/doc/source/handling_examples/index.rst
new file mode 100644
index 000000000..a02235a9e
--- /dev/null
+++ b/doc/source/handling_examples/index.rst
@@ -0,0 +1,37 @@
+:orphan:
+
+Handling
+========
+
+Examples about warping, reprojecting, resampling cropping, as well as rasterizing and polygonizing of georeferenced data.
+
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbnails">
+
+
+.. raw:: html
+
+    </div>
+
+
+.. only:: html
+
+  .. container:: sphx-glr-footer sphx-glr-footer-gallery
+
+    .. container:: sphx-glr-download sphx-glr-download-python
+
+      :download:`Download all examples in Python source code: handling_examples_python.zip </handling_examples/handling_examples_python.zip>`
+
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+      :download:`Download all examples in Jupyter notebooks: handling_examples_jupyter.zip </handling_examples/handling_examples_jupyter.zip>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/handling_examples/read_raster.ipynb b/doc/source/handling_examples/read_raster.ipynb
new file mode 100644
index 000000000..72e6c4623
--- /dev/null
+++ b/doc/source/handling_examples/read_raster.ipynb
@@ -0,0 +1,108 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Loading and understanding Rasters\n\nThis is (right now) a dummy example for showing the functionality of :class:`geoutils.Raster`.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import matplotlib.pyplot as plt\n\nimport geoutils as gu"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Example raster:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "img = gu.Raster(gu.examples.get_path(\"everest_landsat_b4\"))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Info:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "print(img)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "A plot:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "img.show(cmap=\"Greys_r\")\nplt.show()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.10.9"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/examples/read_raster.py b/doc/source/handling_examples/read_raster.py
similarity index 100%
rename from examples/read_raster.py
rename to doc/source/handling_examples/read_raster.py
diff --git a/doc/source/handling_examples/read_raster.py.md5 b/doc/source/handling_examples/read_raster.py.md5
new file mode 100644
index 000000000..cff3da644
--- /dev/null
+++ b/doc/source/handling_examples/read_raster.py.md5
@@ -0,0 +1 @@
+3aad6d3dc8ef4c2558a827cad52379c2
\ No newline at end of file
diff --git a/doc/source/handling_examples/read_raster.rst b/doc/source/handling_examples/read_raster.rst
new file mode 100644
index 000000000..cdad8a617
--- /dev/null
+++ b/doc/source/handling_examples/read_raster.rst
@@ -0,0 +1,131 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "handling_examples/read_raster.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here <sphx_glr_download_handling_examples_read_raster.py>`
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_handling_examples_read_raster.py:
+
+
+Loading and understanding Rasters
+=================================
+
+This is (right now) a dummy example for showing the functionality of :class:`geoutils.Raster`.
+
+.. GENERATED FROM PYTHON SOURCE LINES 7-12
+
+.. code-block:: default
+
+
+    import matplotlib.pyplot as plt
+
+    import geoutils as gu
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 13-14
+
+Example raster:
+
+.. GENERATED FROM PYTHON SOURCE LINES 14-16
+
+.. code-block:: default
+
+    img = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 17-18
+
+Info:
+
+.. GENERATED FROM PYTHON SOURCE LINES 18-21
+
+.. code-block:: default
+
+    print(img)
+
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    not_loaded
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 22-23
+
+A plot:
+
+.. GENERATED FROM PYTHON SOURCE LINES 23-25
+
+.. code-block:: default
+
+    img.show(cmap="Greys_r")
+    plt.show()
+
+
+
+.. image-sg:: /handling_examples/images/sphx_glr_read_raster_001.png
+   :alt: read raster
+   :srcset: /handling_examples/images/sphx_glr_read_raster_001.png
+   :class: sphx-glr-single-img
+
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  0.096 seconds)
+
+
+.. _sphx_glr_download_handling_examples_read_raster.py:
+
+.. only:: html
+
+  .. container:: sphx-glr-footer sphx-glr-footer-example
+
+
+    .. container:: sphx-glr-download sphx-glr-download-python
+
+      :download:`Download Python source code: read_raster.py <read_raster.py>`
+
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+      :download:`Download Jupyter notebook: read_raster.ipynb <read_raster.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/handling_examples/read_raster_codeobj.pickle b/doc/source/handling_examples/read_raster_codeobj.pickle
new file mode 100644
index 0000000000000000000000000000000000000000..e14e3920dd11f0a434a8bea90b63165eeec55f7b
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diff --git a/doc/source/handling_examples/read_satimg.ipynb b/doc/source/handling_examples/read_satimg.ipynb
new file mode 100644
index 000000000..856d04062
--- /dev/null
+++ b/doc/source/handling_examples/read_satimg.ipynb
@@ -0,0 +1,108 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# SatelliteImage class basics\n\nThis is (right now) a dummy example for showing the functionality of :class:`geoutils.SatelliteImage`.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import matplotlib.pyplot as plt\n\nimport geoutils as gu"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Example raster:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "img = gu.Raster(gu.examples.get_path(\"everest_landsat_b4_cropped\"))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Info:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "print(img)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "A plot:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "img.show(cmap=\"Greys_r\")\nplt.show()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.10.9"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/examples/read_satimg.py b/doc/source/handling_examples/read_satimg.py
similarity index 100%
rename from examples/read_satimg.py
rename to doc/source/handling_examples/read_satimg.py
diff --git a/doc/source/handling_examples/read_satimg.py.md5 b/doc/source/handling_examples/read_satimg.py.md5
new file mode 100644
index 000000000..2a522a091
--- /dev/null
+++ b/doc/source/handling_examples/read_satimg.py.md5
@@ -0,0 +1 @@
+4692bb52ad05dc058226c3b82fad0246
\ No newline at end of file
diff --git a/doc/source/handling_examples/read_satimg.rst b/doc/source/handling_examples/read_satimg.rst
new file mode 100644
index 000000000..93524a7b8
--- /dev/null
+++ b/doc/source/handling_examples/read_satimg.rst
@@ -0,0 +1,130 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "handling_examples/read_satimg.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here <sphx_glr_download_handling_examples_read_satimg.py>`
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_handling_examples_read_satimg.py:
+
+
+SatelliteImage class basics
+===========================
+
+This is (right now) a dummy example for showing the functionality of :class:`geoutils.SatelliteImage`.
+
+.. GENERATED FROM PYTHON SOURCE LINES 7-11
+
+.. code-block:: default
+
+    import matplotlib.pyplot as plt
+
+    import geoutils as gu
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 12-13
+
+Example raster:
+
+.. GENERATED FROM PYTHON SOURCE LINES 13-15
+
+.. code-block:: default
+
+    img = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 16-17
+
+Info:
+
+.. GENERATED FROM PYTHON SOURCE LINES 17-20
+
+.. code-block:: default
+
+    print(img)
+
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    not_loaded
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 21-22
+
+A plot:
+
+.. GENERATED FROM PYTHON SOURCE LINES 22-24
+
+.. code-block:: default
+
+    img.show(cmap="Greys_r")
+    plt.show()
+
+
+
+.. image-sg:: /handling_examples/images/sphx_glr_read_satimg_001.png
+   :alt: read satimg
+   :srcset: /handling_examples/images/sphx_glr_read_satimg_001.png
+   :class: sphx-glr-single-img
+
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  0.077 seconds)
+
+
+.. _sphx_glr_download_handling_examples_read_satimg.py:
+
+.. only:: html
+
+  .. container:: sphx-glr-footer sphx-glr-footer-example
+
+
+    .. container:: sphx-glr-download sphx-glr-download-python
+
+      :download:`Download Python source code: read_satimg.py <read_satimg.py>`
+
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+      :download:`Download Jupyter notebook: read_satimg.ipynb <read_satimg.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/handling_examples/read_satimg_codeobj.pickle b/doc/source/handling_examples/read_satimg_codeobj.pickle
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diff --git a/doc/source/handling_examples/read_vector.ipynb b/doc/source/handling_examples/read_vector.ipynb
new file mode 100644
index 000000000..425f762b5
--- /dev/null
+++ b/doc/source/handling_examples/read_vector.ipynb
@@ -0,0 +1,108 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Loading and understanding Vectors\n\nThis is (right now) a dummy example for showing the functionality of :class:`geoutils.Vector`.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import matplotlib.pyplot as plt\n\nimport geoutils as gu"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Example raster:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "glaciers = gu.Vector(gu.examples.get_path(\"everest_rgi_outlines\"))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Info:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "print(glaciers)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "A plot:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "for _, glacier in glaciers.ds.iterrows():\n    plt.plot(*glacier.geometry.exterior.xy)\nplt.show()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.10.9"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/examples/read_vector.py b/doc/source/handling_examples/read_vector.py
similarity index 100%
rename from examples/read_vector.py
rename to doc/source/handling_examples/read_vector.py
diff --git a/doc/source/handling_examples/read_vector.py.md5 b/doc/source/handling_examples/read_vector.py.md5
new file mode 100644
index 000000000..e49c8bd26
--- /dev/null
+++ b/doc/source/handling_examples/read_vector.py.md5
@@ -0,0 +1 @@
+610752bf652a95a4e6fda70357a5314d
\ No newline at end of file
diff --git a/doc/source/handling_examples/read_vector.rst b/doc/source/handling_examples/read_vector.rst
new file mode 100644
index 000000000..7334e7084
--- /dev/null
+++ b/doc/source/handling_examples/read_vector.rst
@@ -0,0 +1,150 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "handling_examples/read_vector.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here <sphx_glr_download_handling_examples_read_vector.py>`
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_handling_examples_read_vector.py:
+
+
+Loading and understanding Vectors
+=================================
+
+This is (right now) a dummy example for showing the functionality of :class:`geoutils.Vector`.
+
+.. GENERATED FROM PYTHON SOURCE LINES 7-12
+
+.. code-block:: default
+
+
+    import matplotlib.pyplot as plt
+
+    import geoutils as gu
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 13-14
+
+Example raster:
+
+.. GENERATED FROM PYTHON SOURCE LINES 14-16
+
+.. code-block:: default
+
+    glaciers = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 17-18
+
+Info:
+
+.. GENERATED FROM PYTHON SOURCE LINES 18-21
+
+.. code-block:: default
+
+    print(glaciers)
+
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    Filename:           /home/atom/code/devel/libs/geoutils/examples/data/Everest_Landsat/15_rgi60_glacier_outlines.gpkg 
+    Coordinate System:  EPSG:4326
+    Number of features: 86 
+    Extent:             [86.70393205700003, 27.847778695000045, 87.11409458600008, 28.14549759700003] 
+    Attributes:         ['RGIId', 'GLIMSId', 'BgnDate', 'EndDate', 'CenLon', 'CenLat', 'O1Region', 'O2Region', 'Area', 'Zmin', 'Zmax', 'Zmed', 'Slope', 'Aspect', 'Lmax', 'Status', 'Connect', 'Form', 'TermType', 'Surging', 'Linkages', 'Name', 'geometry'] 
+                 RGIId  ...                                           geometry
+    0   RGI60-15.03410  ...  POLYGON ((86.92842 27.92877, 86.92866 27.92930...
+    1   RGI60-15.03411  ...  POLYGON ((86.94077 27.92375, 86.94059 27.92295...
+    2   RGI60-15.03412  ...  POLYGON ((86.85344 27.94752, 86.85340 27.94752...
+    3   RGI60-15.03413  ...  POLYGON ((86.84776 27.94845, 86.84776 27.94849...
+    4   RGI60-15.03414  ...  POLYGON ((86.84567 27.96906, 86.84567 27.96910...
+    ..             ...  ...                                                ...
+    81  RGI60-15.10070  ...  POLYGON ((86.94112 28.11455, 86.94129 28.11452...
+    82  RGI60-15.10075  ...  POLYGON ((86.95861 28.04669, 86.95847 28.04701...
+    83  RGI60-15.10077  ...  POLYGON ((86.96454 28.07843, 86.96445 28.07814...
+    84  RGI60-15.10078  ...  POLYGON ((86.96302 28.04915, 86.96304 28.04920...
+    85  RGI60-15.10079  ...  POLYGON ((86.97074 28.09496, 86.97039 28.09488...
+
+    [86 rows x 23 columns]
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 22-23
+
+A plot:
+
+.. GENERATED FROM PYTHON SOURCE LINES 23-26
+
+.. code-block:: default
+
+    for _, glacier in glaciers.ds.iterrows():
+        plt.plot(*glacier.geometry.exterior.xy)
+    plt.show()
+
+
+
+.. image-sg:: /handling_examples/images/sphx_glr_read_vector_001.png
+   :alt: read vector
+   :srcset: /handling_examples/images/sphx_glr_read_vector_001.png
+   :class: sphx-glr-single-img
+
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  0.114 seconds)
+
+
+.. _sphx_glr_download_handling_examples_read_vector.py:
+
+.. only:: html
+
+  .. container:: sphx-glr-footer sphx-glr-footer-example
+
+
+    .. container:: sphx-glr-download sphx-glr-download-python
+
+      :download:`Download Python source code: read_vector.py <read_vector.py>`
+
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+      :download:`Download Jupyter notebook: read_vector.ipynb <read_vector.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/handling_examples/read_vector_codeobj.pickle b/doc/source/handling_examples/read_vector_codeobj.pickle
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new file mode 100644
index 000000000..38a7775ad
--- /dev/null
+++ b/doc/source/handling_examples/searchindex.bak
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+'/home/atom/code/devel/libs/geoutils/doc/build/_static/documentation_options.js', (35328, 440)
+'/home/atom/code/devel/libs/geoutils/doc/build/searchindex.js', (35840, 48486)
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diff --git a/doc/source/handling_examples/searchindex.dir b/doc/source/handling_examples/searchindex.dir
new file mode 100644
index 000000000..38a7775ad
--- /dev/null
+++ b/doc/source/handling_examples/searchindex.dir
@@ -0,0 +1,3 @@
+'/home/atom/code/devel/libs/geoutils/doc/build/index.html', (0, 35132)
+'/home/atom/code/devel/libs/geoutils/doc/build/_static/documentation_options.js', (35328, 440)
+'/home/atom/code/devel/libs/geoutils/doc/build/searchindex.js', (35840, 48486)
diff --git a/doc/source/handling_examples/sg_execution_times.rst b/doc/source/handling_examples/sg_execution_times.rst
new file mode 100644
index 000000000..426de5f9d
--- /dev/null
+++ b/doc/source/handling_examples/sg_execution_times.rst
@@ -0,0 +1,16 @@
+
+:orphan:
+
+.. _sphx_glr_handling_examples_sg_execution_times:
+
+Computation times
+=================
+**00:00.286** total execution time for **handling_examples** files:
+
++-----------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_handling_examples_read_vector.py` (``read_vector.py``) | 00:00.114 | 0.0 MB |
++-----------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_handling_examples_read_raster.py` (``read_raster.py``) | 00:00.096 | 0.0 MB |
++-----------------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_handling_examples_read_satimg.py` (``read_satimg.py``) | 00:00.077 | 0.0 MB |
++-----------------------------------------------------------------------+-----------+--------+
diff --git a/doc/source/index.md b/doc/source/index.md
index 68119783c..dc53edabe 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -40,7 +40,9 @@ proj_tools
 :caption: Examples
 :maxdepth: 2
     
-auto_examples/index.rst 
+io_examples/index
+handling_examples/index
+analysis_examples/index
 ```
 
 ```{toctree}
diff --git a/doc/source/io_examples/images/sphx_glr_read_raster_001.png b/doc/source/io_examples/images/sphx_glr_read_raster_001.png
new file mode 100644
index 0000000000000000000000000000000000000000..a04171162487e0202a3a79e5acfd07f988727f6d
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diff --git a/doc/source/io_examples/images/thumb/sphx_glr_read_raster_thumb.png b/doc/source/io_examples/images/thumb/sphx_glr_read_raster_thumb.png
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diff --git a/doc/source/io_examples/images/thumb/sphx_glr_read_satimg_thumb.png b/doc/source/io_examples/images/thumb/sphx_glr_read_satimg_thumb.png
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diff --git a/doc/source/io_examples/index.rst b/doc/source/io_examples/index.rst
new file mode 100644
index 000000000..2cc6d6f7b
--- /dev/null
+++ b/doc/source/io_examples/index.rst
@@ -0,0 +1,96 @@
+:orphan:
+
+Input/output
+============
+
+Examples about opening, creating, loading or saving raster and vector data.
+
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbnails">
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="This is (right now) a dummy example for showing the functionality of geoutils.SatelliteImage.">
+
+.. only:: html
+
+  .. image:: /io_examples/images/thumb/sphx_glr_read_satimg_thumb.png
+    :alt: SatelliteImage class basics
+
+  :ref:`sphx_glr_io_examples_read_satimg.py`
+
+.. raw:: html
+
+      <div class="sphx-glr-thumbnail-title">SatelliteImage class basics</div>
+    </div>
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates the instantiation of a Raster from file.">
+
+.. only:: html
+
+  .. image:: /io_examples/images/thumb/sphx_glr_read_raster_thumb.png
+    :alt: Opening a raster from file
+
+  :ref:`sphx_glr_io_examples_read_raster.py`
+
+.. raw:: html
+
+      <div class="sphx-glr-thumbnail-title">Opening a raster from file</div>
+    </div>
+
+
+.. raw:: html
+
+    <div class="sphx-glr-thumbcontainer" tooltip="This is (right now) a dummy example for showing the functionality of geoutils.Vector.">
+
+.. only:: html
+
+  .. image:: /io_examples/images/thumb/sphx_glr_read_vector_thumb.png
+    :alt: Loading and understanding Vectors
+
+  :ref:`sphx_glr_io_examples_read_vector.py`
+
+.. raw:: html
+
+      <div class="sphx-glr-thumbnail-title">Loading and understanding Vectors</div>
+    </div>
+
+
+.. raw:: html
+
+    </div>
+
+
+.. toctree::
+   :hidden:
+
+   /io_examples/read_satimg
+   /io_examples/read_raster
+   /io_examples/read_vector
+
+
+.. only:: html
+
+  .. container:: sphx-glr-footer sphx-glr-footer-gallery
+
+    .. container:: sphx-glr-download sphx-glr-download-python
+
+      :download:`Download all examples in Python source code: io_examples_python.zip </io_examples/io_examples_python.zip>`
+
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+      :download:`Download all examples in Jupyter notebooks: io_examples_jupyter.zip </io_examples/io_examples_jupyter.zip>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/io_examples/io_examples_jupyter.zip b/doc/source/io_examples/io_examples_jupyter.zip
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diff --git a/doc/source/io_examples/read_raster.ipynb b/doc/source/io_examples/read_raster.ipynb
new file mode 100644
index 000000000..bee1f43ae
--- /dev/null
+++ b/doc/source/io_examples/read_raster.ipynb
@@ -0,0 +1,144 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Opening a raster from file\n\nThis example demonstrates the instantiation of a :class:`~geoutils.Raster` from file.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import geoutils as gu"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We open an example raster. The data is, by default, unloaded.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "img = gu.Raster(gu.examples.get_path(\"everest_landsat_b4\"))\nimg"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "We can print more info on the raster.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "print(img.info())"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "The data will be loaded explicitly by any function requiring its :attr:`~geoutils.Raster.data`, such as :func:`~geoutils.Raster.show`.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "img.show(cmap=\"Greys_r\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Opening can be performed with several parameters, for instance choosing a single band with `index` and re-sampling with `downsample`\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "img = gu.Raster(gu.examples.get_path(\"everest_landsat_rgb\"), indexes=2, downsample=4)\nimg"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "The data is unloaded by default, even if when specifying a band or re-sampling.\nWe can load it explicitly by calling :func:`~geoutils.Raster.load` (could have also passed `load_data=True` to # :class:`~geoutils.Raster`).\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "img.load()\nimg"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.10.9"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/doc/source/io_examples/read_raster.py b/doc/source/io_examples/read_raster.py
new file mode 100644
index 000000000..cb9cd1abc
--- /dev/null
+++ b/doc/source/io_examples/read_raster.py
@@ -0,0 +1,32 @@
+"""
+Opening a raster from file
+==========================
+
+This example demonstrates the instantiation of a :class:`~geoutils.Raster` from file.
+"""
+
+import geoutils as gu
+
+# %%
+# We open an example raster. The data is, by default, unloaded.
+img = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+img
+
+# %%
+# We can print more info on the raster.
+print(img.info())
+
+# %%
+# The data will be loaded explicitly by any function requiring its :attr:`~geoutils.Raster.data`, such as :func:`~geoutils.Raster.show`.
+img.show(cmap="Greys_r")
+
+# %%
+# Opening can be performed with several parameters, for instance choosing a single band with `index` and re-sampling with `downsample`
+img = gu.Raster(gu.examples.get_path("everest_landsat_rgb"), indexes=2, downsample=4)
+img
+
+# %%
+# The data is unloaded by default, even if when specifying a band or re-sampling.
+# We can load it explicitly by calling :func:`~geoutils.Raster.load` (could have also passed `load_data=True` to # :class:`~geoutils.Raster`).
+img.load()
+img
diff --git a/doc/source/io_examples/read_raster.py.md5 b/doc/source/io_examples/read_raster.py.md5
new file mode 100644
index 000000000..f94094c68
--- /dev/null
+++ b/doc/source/io_examples/read_raster.py.md5
@@ -0,0 +1 @@
+97953828ecec7cf0e5d6d5348df67cfa
\ No newline at end of file
diff --git a/doc/source/io_examples/read_raster.rst b/doc/source/io_examples/read_raster.rst
new file mode 100644
index 000000000..4baa314cf
--- /dev/null
+++ b/doc/source/io_examples/read_raster.rst
@@ -0,0 +1,217 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "io_examples/read_raster.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here <sphx_glr_download_io_examples_read_raster.py>`
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_io_examples_read_raster.py:
+
+
+Opening a raster from file
+==========================
+
+This example demonstrates the instantiation of a :class:`~geoutils.Raster` from file.
+
+.. GENERATED FROM PYTHON SOURCE LINES 7-10
+
+.. code-block:: default
+
+
+    import geoutils as gu
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 11-12
+
+We open an example raster. The data is, by default, unloaded.
+
+.. GENERATED FROM PYTHON SOURCE LINES 12-15
+
+.. code-block:: default
+
+    img = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+    img
+
+
+
+
+
+
+.. raw:: html
+
+    <div class="output_subarea output_html rendered_html output_result">
+    <pre><span style="white-space: pre-wrap"><b><em>Raster</em></b>(
+      <b>data=</b><i>not_loaded</i>
+      <b>transform=</b>| 30.00, 0.00, 478000.00|
+                | 0.00,-30.00, 3108140.00|
+                | 0.00, 0.00, 1.00|
+      <b>crs=</b>EPSG:32645)</span></pre>
+    </div>
+    <br />
+    <br />
+
+.. GENERATED FROM PYTHON SOURCE LINES 16-17
+
+We can print more info on the raster.
+
+.. GENERATED FROM PYTHON SOURCE LINES 17-19
+
+.. code-block:: default
+
+    print(img.info())
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    Driver:               GTiff 
+    Opened from file:     /home/atom/code/devel/libs/geoutils/examples/data/Everest_Landsat/LE71400412000304SGS00_B4.tif 
+    Filename:             /home/atom/code/devel/libs/geoutils/examples/data/Everest_Landsat/LE71400412000304SGS00_B4.tif 
+    Loaded?               False 
+    Modified since load?  False 
+    Size:                 800, 655
+    Number of bands:      1
+    Data types:           ('uint8',)
+    Coordinate System:    ['EPSG:32645']
+    NoData Value:         None
+    Pixel Size:           30.0, 30.0
+    Upper Left Corner:    478000.0, 3088490.0
+    Lower Right Corner:   502000.0, 3108140.0
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 20-21
+
+The data will be loaded explicitly by any function requiring its :attr:`~geoutils.Raster.data`, such as :func:`~geoutils.Raster.show`.
+
+.. GENERATED FROM PYTHON SOURCE LINES 21-23
+
+.. code-block:: default
+
+    img.show(cmap="Greys_r")
+
+
+
+
+.. image-sg:: /io_examples/images/sphx_glr_read_raster_001.png
+   :alt: read raster
+   :srcset: /io_examples/images/sphx_glr_read_raster_001.png
+   :class: sphx-glr-single-img
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 24-25
+
+Opening can be performed with several parameters, for instance choosing a single band with `index` and re-sampling with `downsample`
+
+.. GENERATED FROM PYTHON SOURCE LINES 25-28
+
+.. code-block:: default
+
+    img = gu.Raster(gu.examples.get_path("everest_landsat_rgb"), indexes=2, downsample=4)
+    img
+
+
+
+
+
+
+.. raw:: html
+
+    <div class="output_subarea output_html rendered_html output_result">
+    <pre><span style="white-space: pre-wrap"><b><em>Raster</em></b>(
+      <b>data=</b><i>not_loaded</i>
+      <b>transform=</b>| 120.00, 0.00, 478000.00|
+                | 0.00,-120.00, 3108140.00|
+                | 0.00, 0.00, 1.00|
+      <b>crs=</b>EPSG:32645)</span></pre>
+    </div>
+    <br />
+    <br />
+
+.. GENERATED FROM PYTHON SOURCE LINES 29-31
+
+The data is unloaded by default, even if when specifying a band or re-sampling.
+We can load it explicitly by calling :func:`~geoutils.Raster.load` (could have also passed `load_data=True` to # :class:`~geoutils.Raster`).
+
+.. GENERATED FROM PYTHON SOURCE LINES 31-33
+
+.. code-block:: default
+
+    img.load()
+    img
+
+
+
+
+
+.. raw:: html
+
+    <div class="output_subarea output_html rendered_html output_result">
+    <pre><span style="white-space: pre-wrap"><b><em>Raster</em></b>(
+      <b>data=</b>[[[255 255 255 ... 255 255 255]
+             [255 255 255 ... 255 255 255]
+             [255 255 255 ... 255 255 255]
+             ...
+             [ 38  66  92 ... 114 147 157]
+             [ 86  54  29 ... 122 142 171]
+             [ 94  35  35 ... 150 151 223]]]
+      <b>transform=</b>| 120.00, 0.00, 478000.00|
+                | 0.00,-120.00, 3108140.00|
+                | 0.00, 0.00, 1.00|
+      <b>crs=</b>EPSG:32645)</span></pre>
+    </div>
+    <br />
+    <br />
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  0.104 seconds)
+
+
+.. _sphx_glr_download_io_examples_read_raster.py:
+
+.. only:: html
+
+  .. container:: sphx-glr-footer sphx-glr-footer-example
+
+
+    .. container:: sphx-glr-download sphx-glr-download-python
+
+      :download:`Download Python source code: read_raster.py <read_raster.py>`
+
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+      :download:`Download Jupyter notebook: read_raster.ipynb <read_raster.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/io_examples/read_raster_codeobj.pickle b/doc/source/io_examples/read_raster_codeobj.pickle
new file mode 100644
index 0000000000000000000000000000000000000000..2acd7678b8c6d6c88616dd7aa038c0f9c1fb0243
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diff --git a/doc/source/io_examples/read_satimg.ipynb b/doc/source/io_examples/read_satimg.ipynb
new file mode 100644
index 000000000..856d04062
--- /dev/null
+++ b/doc/source/io_examples/read_satimg.ipynb
@@ -0,0 +1,108 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# SatelliteImage class basics\n\nThis is (right now) a dummy example for showing the functionality of :class:`geoutils.SatelliteImage`.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import matplotlib.pyplot as plt\n\nimport geoutils as gu"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Example raster:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "img = gu.Raster(gu.examples.get_path(\"everest_landsat_b4_cropped\"))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Info:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "print(img)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "A plot:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "img.show(cmap=\"Greys_r\")\nplt.show()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.10.9"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/doc/source/io_examples/read_satimg.py b/doc/source/io_examples/read_satimg.py
new file mode 100644
index 000000000..9c4d4afd2
--- /dev/null
+++ b/doc/source/io_examples/read_satimg.py
@@ -0,0 +1,23 @@
+"""
+SatelliteImage class basics
+===========================
+
+This is (right now) a dummy example for showing the functionality of :class:`geoutils.SatelliteImage`.
+"""
+import matplotlib.pyplot as plt
+
+import geoutils as gu
+
+# %%
+# Example raster:
+img = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
+
+# %%
+# Info:
+print(img)
+
+
+# %%
+# A plot:
+img.show(cmap="Greys_r")
+plt.show()
diff --git a/doc/source/io_examples/read_satimg.py.md5 b/doc/source/io_examples/read_satimg.py.md5
new file mode 100644
index 000000000..2a522a091
--- /dev/null
+++ b/doc/source/io_examples/read_satimg.py.md5
@@ -0,0 +1 @@
+4692bb52ad05dc058226c3b82fad0246
\ No newline at end of file
diff --git a/doc/source/io_examples/read_satimg.rst b/doc/source/io_examples/read_satimg.rst
new file mode 100644
index 000000000..18c221cd9
--- /dev/null
+++ b/doc/source/io_examples/read_satimg.rst
@@ -0,0 +1,130 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "io_examples/read_satimg.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here <sphx_glr_download_io_examples_read_satimg.py>`
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_io_examples_read_satimg.py:
+
+
+SatelliteImage class basics
+===========================
+
+This is (right now) a dummy example for showing the functionality of :class:`geoutils.SatelliteImage`.
+
+.. GENERATED FROM PYTHON SOURCE LINES 7-11
+
+.. code-block:: default
+
+    import matplotlib.pyplot as plt
+
+    import geoutils as gu
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 12-13
+
+Example raster:
+
+.. GENERATED FROM PYTHON SOURCE LINES 13-15
+
+.. code-block:: default
+
+    img = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 16-17
+
+Info:
+
+.. GENERATED FROM PYTHON SOURCE LINES 17-20
+
+.. code-block:: default
+
+    print(img)
+
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    not_loaded
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 21-22
+
+A plot:
+
+.. GENERATED FROM PYTHON SOURCE LINES 22-24
+
+.. code-block:: default
+
+    img.show(cmap="Greys_r")
+    plt.show()
+
+
+
+.. image-sg:: /io_examples/images/sphx_glr_read_satimg_001.png
+   :alt: read satimg
+   :srcset: /io_examples/images/sphx_glr_read_satimg_001.png
+   :class: sphx-glr-single-img
+
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  0.086 seconds)
+
+
+.. _sphx_glr_download_io_examples_read_satimg.py:
+
+.. only:: html
+
+  .. container:: sphx-glr-footer sphx-glr-footer-example
+
+
+    .. container:: sphx-glr-download sphx-glr-download-python
+
+      :download:`Download Python source code: read_satimg.py <read_satimg.py>`
+
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+      :download:`Download Jupyter notebook: read_satimg.ipynb <read_satimg.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/io_examples/read_satimg_codeobj.pickle b/doc/source/io_examples/read_satimg_codeobj.pickle
new file mode 100644
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diff --git a/doc/source/io_examples/read_vector.ipynb b/doc/source/io_examples/read_vector.ipynb
new file mode 100644
index 000000000..425f762b5
--- /dev/null
+++ b/doc/source/io_examples/read_vector.ipynb
@@ -0,0 +1,108 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "%matplotlib inline"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "\n# Loading and understanding Vectors\n\nThis is (right now) a dummy example for showing the functionality of :class:`geoutils.Vector`.\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "import matplotlib.pyplot as plt\n\nimport geoutils as gu"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Example raster:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "glaciers = gu.Vector(gu.examples.get_path(\"everest_rgi_outlines\"))"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Info:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "print(glaciers)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "A plot:\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "for _, glacier in glaciers.ds.iterrows():\n    plt.plot(*glacier.geometry.exterior.xy)\nplt.show()"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.10.9"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
\ No newline at end of file
diff --git a/doc/source/io_examples/read_vector.py b/doc/source/io_examples/read_vector.py
new file mode 100644
index 000000000..a3282839e
--- /dev/null
+++ b/doc/source/io_examples/read_vector.py
@@ -0,0 +1,25 @@
+"""
+Loading and understanding Vectors
+=================================
+
+This is (right now) a dummy example for showing the functionality of :class:`geoutils.Vector`.
+"""
+
+import matplotlib.pyplot as plt
+
+import geoutils as gu
+
+# %%
+# Example raster:
+glaciers = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+
+# %%
+# Info:
+print(glaciers)
+
+
+# %%
+# A plot:
+for _, glacier in glaciers.ds.iterrows():
+    plt.plot(*glacier.geometry.exterior.xy)
+plt.show()
diff --git a/doc/source/io_examples/read_vector.py.md5 b/doc/source/io_examples/read_vector.py.md5
new file mode 100644
index 000000000..e49c8bd26
--- /dev/null
+++ b/doc/source/io_examples/read_vector.py.md5
@@ -0,0 +1 @@
+610752bf652a95a4e6fda70357a5314d
\ No newline at end of file
diff --git a/doc/source/io_examples/read_vector.rst b/doc/source/io_examples/read_vector.rst
new file mode 100644
index 000000000..f9d9cb713
--- /dev/null
+++ b/doc/source/io_examples/read_vector.rst
@@ -0,0 +1,150 @@
+
+.. DO NOT EDIT.
+.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
+.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
+.. "io_examples/read_vector.py"
+.. LINE NUMBERS ARE GIVEN BELOW.
+
+.. only:: html
+
+    .. note::
+        :class: sphx-glr-download-link-note
+
+        Click :ref:`here <sphx_glr_download_io_examples_read_vector.py>`
+        to download the full example code
+
+.. rst-class:: sphx-glr-example-title
+
+.. _sphx_glr_io_examples_read_vector.py:
+
+
+Loading and understanding Vectors
+=================================
+
+This is (right now) a dummy example for showing the functionality of :class:`geoutils.Vector`.
+
+.. GENERATED FROM PYTHON SOURCE LINES 7-12
+
+.. code-block:: default
+
+
+    import matplotlib.pyplot as plt
+
+    import geoutils as gu
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 13-14
+
+Example raster:
+
+.. GENERATED FROM PYTHON SOURCE LINES 14-16
+
+.. code-block:: default
+
+    glaciers = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+
+
+
+
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 17-18
+
+Info:
+
+.. GENERATED FROM PYTHON SOURCE LINES 18-21
+
+.. code-block:: default
+
+    print(glaciers)
+
+
+
+
+
+
+.. rst-class:: sphx-glr-script-out
+
+ .. code-block:: none
+
+    Filename:           /home/atom/code/devel/libs/geoutils/examples/data/Everest_Landsat/15_rgi60_glacier_outlines.gpkg 
+    Coordinate System:  EPSG:4326
+    Number of features: 86 
+    Extent:             [86.70393205700003, 27.847778695000045, 87.11409458600008, 28.14549759700003] 
+    Attributes:         ['RGIId', 'GLIMSId', 'BgnDate', 'EndDate', 'CenLon', 'CenLat', 'O1Region', 'O2Region', 'Area', 'Zmin', 'Zmax', 'Zmed', 'Slope', 'Aspect', 'Lmax', 'Status', 'Connect', 'Form', 'TermType', 'Surging', 'Linkages', 'Name', 'geometry'] 
+                 RGIId  ...                                           geometry
+    0   RGI60-15.03410  ...  POLYGON ((86.92842 27.92877, 86.92866 27.92930...
+    1   RGI60-15.03411  ...  POLYGON ((86.94077 27.92375, 86.94059 27.92295...
+    2   RGI60-15.03412  ...  POLYGON ((86.85344 27.94752, 86.85340 27.94752...
+    3   RGI60-15.03413  ...  POLYGON ((86.84776 27.94845, 86.84776 27.94849...
+    4   RGI60-15.03414  ...  POLYGON ((86.84567 27.96906, 86.84567 27.96910...
+    ..             ...  ...                                                ...
+    81  RGI60-15.10070  ...  POLYGON ((86.94112 28.11455, 86.94129 28.11452...
+    82  RGI60-15.10075  ...  POLYGON ((86.95861 28.04669, 86.95847 28.04701...
+    83  RGI60-15.10077  ...  POLYGON ((86.96454 28.07843, 86.96445 28.07814...
+    84  RGI60-15.10078  ...  POLYGON ((86.96302 28.04915, 86.96304 28.04920...
+    85  RGI60-15.10079  ...  POLYGON ((86.97074 28.09496, 86.97039 28.09488...
+
+    [86 rows x 23 columns]
+
+
+
+
+.. GENERATED FROM PYTHON SOURCE LINES 22-23
+
+A plot:
+
+.. GENERATED FROM PYTHON SOURCE LINES 23-26
+
+.. code-block:: default
+
+    for _, glacier in glaciers.ds.iterrows():
+        plt.plot(*glacier.geometry.exterior.xy)
+    plt.show()
+
+
+
+.. image-sg:: /io_examples/images/sphx_glr_read_vector_001.png
+   :alt: read vector
+   :srcset: /io_examples/images/sphx_glr_read_vector_001.png
+   :class: sphx-glr-single-img
+
+
+
+
+
+
+.. rst-class:: sphx-glr-timing
+
+   **Total running time of the script:** ( 0 minutes  0.110 seconds)
+
+
+.. _sphx_glr_download_io_examples_read_vector.py:
+
+.. only:: html
+
+  .. container:: sphx-glr-footer sphx-glr-footer-example
+
+
+    .. container:: sphx-glr-download sphx-glr-download-python
+
+      :download:`Download Python source code: read_vector.py <read_vector.py>`
+
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
+
+      :download:`Download Jupyter notebook: read_vector.ipynb <read_vector.ipynb>`
+
+
+.. only:: html
+
+ .. rst-class:: sphx-glr-signature
+
+    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/io_examples/read_vector_codeobj.pickle b/doc/source/io_examples/read_vector_codeobj.pickle
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diff --git a/doc/source/io_examples/searchindex.bak b/doc/source/io_examples/searchindex.bak
new file mode 100644
index 000000000..38a7775ad
--- /dev/null
+++ b/doc/source/io_examples/searchindex.bak
@@ -0,0 +1,3 @@
+'/home/atom/code/devel/libs/geoutils/doc/build/index.html', (0, 35132)
+'/home/atom/code/devel/libs/geoutils/doc/build/_static/documentation_options.js', (35328, 440)
+'/home/atom/code/devel/libs/geoutils/doc/build/searchindex.js', (35840, 48486)
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diff --git a/doc/source/io_examples/searchindex.dir b/doc/source/io_examples/searchindex.dir
new file mode 100644
index 000000000..38a7775ad
--- /dev/null
+++ b/doc/source/io_examples/searchindex.dir
@@ -0,0 +1,3 @@
+'/home/atom/code/devel/libs/geoutils/doc/build/index.html', (0, 35132)
+'/home/atom/code/devel/libs/geoutils/doc/build/_static/documentation_options.js', (35328, 440)
+'/home/atom/code/devel/libs/geoutils/doc/build/searchindex.js', (35840, 48486)
diff --git a/doc/source/io_examples/sg_execution_times.rst b/doc/source/io_examples/sg_execution_times.rst
new file mode 100644
index 000000000..a4b8c23f7
--- /dev/null
+++ b/doc/source/io_examples/sg_execution_times.rst
@@ -0,0 +1,16 @@
+
+:orphan:
+
+.. _sphx_glr_io_examples_sg_execution_times:
+
+Computation times
+=================
+**00:00.104** total execution time for **io_examples** files:
+
++-----------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_io_examples_read_raster.py` (``read_raster.py``) | 00:00.104 | 0.0 MB |
++-----------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_io_examples_read_satimg.py` (``read_satimg.py``) | 00:00.000 | 0.0 MB |
++-----------------------------------------------------------------+-----------+--------+
+| :ref:`sphx_glr_io_examples_read_vector.py` (``read_vector.py``) | 00:00.000 | 0.0 MB |
++-----------------------------------------------------------------+-----------+--------+
diff --git a/doc/source/mask_class.md b/doc/source/mask_class.md
index 40c62e2e1..4af6e8c67 100644
--- a/doc/source/mask_class.md
+++ b/doc/source/mask_class.md
@@ -147,9 +147,29 @@ raster[mask_outlines]
 
 See {ref}`py-ops-indexing` for more details.
 
+(mask-class-poly-overloaded)=
+
 ## Polygonize (overloaded from {class}`~geoutils.Raster`)
 
-Some methods
+{class}`Masks<geoutils.Mask>` have simplified class methods overloaded from {class}`Rasters<geoutils.Raster>` when one or several attributes of the methods 
+become implicit in the case of {class}`bool` data.
+
+The {func}`~geoutils.Mask.polygonize` function is one of those, implicitly applying to the `True` values of the mask as target pixels. It outputs a 
+{class}`~geoutils.Vector` of the input mask.
+
+```{code-cell} ipython3
+# Polygonize mask
+mask.polygonize()
+```
+
+(mask-class-prox-overloaded)=
 
 ## Proximity (overloaded from {class}`~geoutils.Raster`)
 
+The {func}`~geoutils.Mask.proximity` function is another overloaded method of {class}`~geoutils.Raster` implicitly applying to the `True` values of the mask as 
+target pixels. It outputs a {class}`~geoutils.Raster` of the distances to the input mask.
+
+```{code-cell} ipython3
+# Proximity to mask
+mask.proximity()
+```
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index 47af00aeb..5d2845147 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -1,3 +1,8 @@
+---
+file_format: mystnb
+kernelspec:
+  name: geoutils
+---
 (quick-start)=
 
 # Quick start
@@ -11,18 +16,35 @@ For more details, refer to the {ref}`core-index`, {ref}`rasters-index` or {ref}`
 In GeoUtils, geospatial handling is object-based and revolves around {class}`~geoutils.Raster` and {class}`~geoutils.Vector`.
 These link to either **on-disk** or **in-memory** datasets, opened by instantiating the class.
 
-```{literalinclude} code/index_example.py
-:lines: 1-9
-:language: python
+```{code-cell} ipython3
+import geoutils as gu
+
+# Examples files: infrared band of Landsat and glacier outlines
+filename_rast = gu.examples.get_path("everest_landsat_b4")
+filename_vect = gu.examples.get_path("everest_rgi_outlines")
+
+# Open files
+rast = gu.Raster(filename_rast)
+vect = gu.Vector(filename_vect)
 ```
 
 A {class}`~geoutils.Raster` is a composition class with four main attributes: a {class}`~numpy.ma.MaskedArray` as `.data`, a {class}`~pyproj.crs.CRS` as `.crs`, 
 an {class}`~affine.Affine` as `.transform`, and a {class}`float` or {class}`int` as `.nodata`. When a file exists on disk, {class}`~geoutils.Raster` is 
-linked to a {class}`rasterio.DatasetReader` object for loading the metadata, and the array at the appropriate time.
+linked to a {class}`rasterio.io.DatasetReader` object for loading the metadata, and the array at the appropriate time.
+
+```{code-cell} ipython3
+# The opened raster
+rast
+```
 
 A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as `.ds`, for which most methods are 
 wrapped directly into {class}`~geoutils.Vector`. 
 
+```{code-cell} ipython3
+# The opened vector
+vect
+```
+
 All other attributes are derivatives of those main attributes, or of the filename on disk. Attributes of {class}`~geoutils.Raster` and 
 {class}`~geoutils.Vector` update with geospatial operations on themselves. 
 
@@ -32,9 +54,15 @@ Geospatial operations are based on class methods, such as {func}`geoutils.Raster
 passed solely another {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a **reference to match** during the operation. A **reference {class}`~geoutils.Vector`** 
 enforces a matching of `.bounds` and/or `.crs`, while a **reference {class}`~geoutils.Raster`** can also enforce a matching of `.res`, depending on the nature of the operation.
 
-```{literalinclude} code/index_example.py
-:lines: 16-20
-:language: python
+
+```{code-cell} ipython3
+# Crop raster to vector's extent
+rast.crop(vect)
+```
+
+```{code-cell} ipython3
+# Compute proximity to vector on raster's grid
+rast_proximity_to_vec = vect.proximity(rast)
 ```
 
 All methods can be also be passed any number of georeferencing arguments such as `.shape` or `.res`, and will logically deduce others from the input, much 
@@ -83,17 +111,18 @@ All {class}`~geoutils.Raster` objects support Python arithmetic ({func}`+<operat
 {func}`**<operator.pow>`, {func}`%<operator.mod>`) with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or 
 number. For other {class}`~geoutils.Raster`, the georeferencing must match, while only the shape for other {class}`~numpy.ndarray`.
 
-```{literalinclude} code/index_example.py
-:lines: 22-23
-:language: python
+```{code-cell} ipython3
+# Add 1 to the raster array
+rast += 1
 ```
 
 Additionally, the class {class}`~geoutils.Raster` possesses a NumPy masked-array interface that allows to apply to it any [NumPy universal function](https://numpy.org/doc/stable/reference/ufuncs.html) and 
 most other NumPy array functions, while logically casting `dtypes` and respecting `.nodata` values.
 
-```{literalinclude} code/index_example.py
-:lines: 25-27
-:language: python
+```{code-cell} ipython3
+# Apply a normalization to the raster
+import numpy as np
+rast = (rast - np.min(rast)) / (np.max(rast) - np.min(rast))
 ```
 
 ## Casting to {class}`~geoutils.Mask`, indexing and overload
@@ -101,25 +130,24 @@ most other NumPy array functions, while logically casting `dtypes` and respectin
 All {class}`~geoutils.Raster` classes also support Python logical comparison operators ({func}`==<operator.eq>`, {func}` != <operator.ne>`, {func}`>=<operator.ge>`, {func}`><operator.gt>`, {func}`<=<operator.le>`, 
 {func}`<<operator.lt>`), or more complex NumPy logical functions. Those operations automatically casts them into a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster`.
 
-
-```{literalinclude} code/index_example.py
-:lines: 29-30
-:language: python
+```{code-cell} ipython3
+# Get mask of an AOI: infrared index above 0.7, at least 200 m from glaciers
+mask_aoi = np.logical_and(rast > 0.7, rast_proximity_to_vec > 200)
 ```
 
 Masks can then be used for indexing a {class}`~geoutils.Raster`, which returns a {class}`~numpy.ma.MaskedArray` of indexed values.
 
-```{literalinclude} code/index_example.py
-:lines: 32-33
-:language: python
+```{code-cell} ipython3
+# Index raster with mask to extract a 1-D array
+values_aoi = rast[mask_aoi]
 ```
 
 Masks also have simplified, overloaded {class}`~geoutils.Raster` methods due to their boolean `dtypes`. Using {func}`~geoutils.Raster.polygonize` with a 
 {class}`~geoutils.Mask` is straightforward, for instance, to retrieve a {class}`~geoutils.Vector` of the area-of-interest:
 
-```{literalinclude} code/index_example.py
-:lines: 35-36
-:language: python
+```{code-cell} ipython3
+# Polygonize areas where mask is True
+vect_aoi = mask_aoi.polygonize()
 ```
 
 ## Plotting and saving geospatial data
@@ -130,15 +158,13 @@ The plotting function was renamed {func}`~geoutils.Raster.show` everywhere, for
 
 For saving, {func}`~geoutils.Raster.save` is used.
 
-```{literalinclude} code/index_example.py
-:lines: 38-47
-:language: python
-```
-
-```{eval-rst}
-.. plot:: code/index_example.py
-    :caption: High infrared outside of glaciers at Mount Everest (perennial snowfields)
-    :width: 90%
+```{code-cell} ipython3
+# Plot result
+import matplotlib.pyplot as plt
+fig = plt.figure()
+ax = plt.gca()
+rast.show(ax=ax, cmap='Reds', cb_title='Normalized infrared')
+vect_aoi.ds.plot(ax=ax, fc='none', ec='k', lw=0.5)
 ```
 
 ```{admonition} Wrap-up
@@ -161,14 +187,15 @@ Otherwise, for more **hands-on** examples, explore GeoUtils' gallery of examples
 In our case, `rast` would be better opened using the {class}`~geoutils.Raster` subclass {class}`~geoutils.SatelliteImage` instead, which tentatively parses 
 metadata recognized from the filename or auxiliary files.
 
-```{literalinclude} code/index_example.py
-:lines: 11-14
-:language: python
+```{code-cell} ipython3
+# Name of the image we used
+import os
+print(os.path.basename(filename_rast))
 ```
 
-```{eval-rst}
-.. program-output:: $PYTHON code/index_example.py
-        :shell:
+```{code-cell} ipython3
+# Open while parsing metadata
+rast = gu.SatelliteImage(filename_rast, silent=False)
 ```
 
 There are many possible subclass to derive from a {class}`~geoutils.Raster`. Here's an **overview of current {class}`~geoutils.Raster` class inheritance**, which extends into 
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index c39d53913..45ff209dd 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -22,7 +22,7 @@ A {class}`~geoutils.Raster` contains **four main attributes**:
 
 For more details on {class}`~geoutils.Raster` class composition, see {ref}`core-composition`.
 
-A {class}`~geoutils.Raster` also contains many derivative attributes, with naming generally consistent with that of a {class}`rasterio.DatasetReader`.
+A {class}`~geoutils.Raster` also contains many derivative attributes, with naming generally consistent with that of a {class}`rasterio.io.DatasetReader`.
 
 A first category includes georeferencing attributes directly derived from {attr}`~geoutils.Raster.transform`, namely: {attr}`~geoutils.Raster.shape`, 
 {attr}`~geoutils.Raster.height`, {attr}`~geoutils.Raster.width`, {attr}`~geoutils.Raster.res`, {attr}`~geoutils.Raster.bounds`.
@@ -31,7 +31,7 @@ A second category concerns the attributes derived from the raster array shape an
 {attr}`~geoutils.Raster.dtypes`. The two former refer to the number of bands loaded in a {class}`~geoutils.Raster`, and their indexes.
 
 ```{important}
-The {attr}`~geoutils.Raster.indexes` of {class}`rasterio.DatasetReader` start from 1 and not 0, be careful when instantiating or loading from a 
+The {attr}`~geoutils.Raster.indexes` of {class}`rasterio.io.DatasetReader` start from 1 and not 0, be careful when instantiating or loading from a 
 multi-band raster!
 ```
 
@@ -51,7 +51,8 @@ The complete list of {class}`~geoutils.Raster` attributes with description is av
 
 ## Open and save
 
-A {class}`~geoutils.Raster` is opened by instantiating with either a {class}`str`, a {class}`pathlib.Path` or a {class}`rasterio.DatasetReader`.
+A {class}`~geoutils.Raster` is opened by instantiating with either a {class}`str`, a {class}`pathlib.Path`, a {class}`rasterio.io.DatasetReader` or a 
+{class}`rasterio.io.MemoryFile`.
 
 
 ```{code-cell} ipython3
@@ -235,8 +236,7 @@ Resampling methods are listed in **[the dedicated section of Rasterio's API](htt
 Cropping a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster.crop` function, which enforces new {attr}`~geoutils.Raster.bounds`. 
 
 ```{important}
-As with all geospatial handling methods, the {func}`~geoutils.Raster.reproject` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.
-Vector` as argument. 
+As with all geospatial handling methods, the {func}`~geoutils.Raster.reproject` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as argument. 
 
 See {ref}`core-match-ref` for more details.
 ```
@@ -259,7 +259,8 @@ Polygonizing a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Ra
 By default, values equal to `1` are used.
 
 ```{note}
-For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.polygonize` implicitly targets `True` values and thus does not require target pixels.
+For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.polygonize` implicitly targets `True` values and thus does not require target pixels. See 
+{ref}`mask-class-poly-overloaded`.
 ```
 
 ```{code-cell} ipython3
@@ -275,7 +276,8 @@ Computing proximity from a {class}`~geoutils.Raster` is done through by the {fun
 target pixels in the {class}`~geoutils.Raster`.
 
 ```{note}
-For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.proximity` implicitly targets `True` values and thus does not require target pixels.
+For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.proximity` implicitly targets `True` values and thus does not require target pixels. See 
+{ref}`mask-class-prox-overloaded`.
 ```
 
 ```{code-cell} ipython3
@@ -321,7 +323,7 @@ A {class}`~geoutils.Raster` can be exported to different formats, to facilitate
 
 Those include exporting to:
 - a {class}`xarray.Dataset` with {class}`~geoutils.Raster.to_xarray`, 
-- a {class}`rasterio.DatasetReader` with {class}`~geoutils.Raster.to_rio_dataset`, 
+- a {class}`rasterio.io.DatasetReader` with {class}`~geoutils.Raster.to_rio_dataset`, 
 - a {class}`numpy.ndarray`, {class}`geopandas.GeoDataFrame` or {class}`geoutils.Vector` as a point cloud with {class}`~geoutils.Raster.to_points`.
 
 ```{code-cell} ipython3
diff --git a/doc/source/satimg_class.md b/doc/source/satimg_class.md
index 0f58d439a..4aa791ff0 100644
--- a/doc/source/satimg_class.md
+++ b/doc/source/satimg_class.md
@@ -1,35 +1,54 @@
+---
+file_format: mystnb
+kernelspec:
+  name: geoutils
+---
 (satimg-class)=
 
-# The geo-image (`SatelliteImage`)
+# The geo-image ({class}`~geoutils.SatelliteImage`)
+
+Below, a summary of the {class}`~geoutils.SatelliteImage` object and its methods.
 
 ## Object definition
 
-## Datetime parsing
+A {class}`~geoutils.SatelliteImage` is a subclass of {class}`~geoutils.Raster` that contains all its main attributes, and retains additional ones:
+- a {class}`numpy.datetime64` as {class}`~geoutils.SatelliteImage.datetime`, and
+- several {class}`strings<str>` for`~geoutils.SatelliteImage.satellite`,  {class}`~geoutils.SatelliteImage.sensor`, {class}`~geoutils.SatelliteImage. version`, {class}`~geoutils.SatelliteImage.tile_name` and {class}`~geoutils.SatelliteImage.product`.
+ 
+A {class}`~geoutils.SatelliteImage` also inherits the same derivative attributes as a {class}`~geoutils.Raster`.
 
-Example with a Landsat image:
+## Metadata parsing
 
-```{literalinclude} code/satimg-basics_open_file.py
-:lines: 2-
-```
+The {class}`~geoutils.SatelliteImage` attempts to parse metadata from the filename.
 
-When reading your file, SatImg will try to load metadata information from the filename.
-For the above filename, this will be printed in the console:
+Right now are supported:
+ - Landsat,
+ - Sentinel-2,
+ - SPOT,
+ - ASTER,
+ - ArcticDEM and REMA,
+ - ALOS,
+ - SRTM,
+ - TanDEM-X, and
+ - NASADEM.
 
-```{eval-rst}
-.. program-output:: $PYTHON -c "exec(open('code/satimg-basics_open_file.py').read())"
-        :shell:
-```
+The {class}`~geoutils.SatelliteImage.datetime` is always parsed or deduced.
 
-Currently supporting the nomenclatures used for: Landsat, Sentinel-2, ArcticDEM, REMA, ASTER L1A, ASTER GDEM, NASADEM, TanDEM-X, SRTM and SPOT-5
+For tiled products such as SRTM, the tile naming is also retrieved, which can be converted to geographic extent with {func}`geoutils.georaster.satimg.parse_tile_attr_from_name`. 
 
-More to come...
+```{code-cell} ipython3
+import geoutils as gu
 
-```{eval-rst}
-.. minigallery:: geoutils.SatelliteImage
-        :add-heading:
-        :heading-level: -
+# Initiate a geo-image from an ASTER image
+geoimg = gu.SatelliteImage(gu.examples.get_path("exploradores_aster_dem"), silent=False)
 ```
 
-## Tile parsing
+```{code-cell} ipython3
+# Initiate a geo-image from a Landsat 7 image
+geoimg2 = gu.SatelliteImage(gu.examples.get_path("everest_landsat_b4"), silent=False)
+```
 
-## Instrument metadata parsing
+```{important}
+The {class}`~geoutils.SatelliteImage` class is still in development, and we hope to further refine it in the future using metadata classes able to parse 
+auxiliary files metadata (such as [here](https://github.com/jlandmann/glaciersat/blob/master/glaciersat/core/imagery.py)).
+```
diff --git a/examples/README.rst b/examples/README.rst
deleted file mode 100644
index da293984f..000000000
--- a/examples/README.rst
+++ /dev/null
@@ -1,4 +0,0 @@
-Examples gallery
-================
-Here are examples that showcase the functionality of ``geoutils``.
-All scripts can be downloaded and modified offline.
diff --git a/examples/analysis/README.rst b/examples/analysis/README.rst
new file mode 100644
index 000000000..000bd8622
--- /dev/null
+++ b/examples/analysis/README.rst
@@ -0,0 +1,5 @@
+Analysis
+========
+
+Examples about numerical operations on rasters, computing proximity and buffer without overlap.
+
diff --git a/examples/handling/README.rst b/examples/handling/README.rst
new file mode 100644
index 000000000..c8e11e62e
--- /dev/null
+++ b/examples/handling/README.rst
@@ -0,0 +1,4 @@
+Handling
+========
+
+Examples about warping, reprojecting, resampling cropping, as well as rasterizing and polygonizing of georeferenced data.
diff --git a/examples/io/README.rst b/examples/io/README.rst
new file mode 100644
index 000000000..f4b389036
--- /dev/null
+++ b/examples/io/README.rst
@@ -0,0 +1,4 @@
+Input/output
+============
+
+Examples about opening, creating, loading or saving raster and vector data.
diff --git a/examples/io/read_raster.py b/examples/io/read_raster.py
new file mode 100644
index 000000000..fc4eb2890
--- /dev/null
+++ b/examples/io/read_raster.py
@@ -0,0 +1,32 @@
+"""
+Opening a raster from file
+==========================
+
+This example demonstrates the instantiation of a :class:`~geoutils.Raster` from file.
+"""
+
+import geoutils as gu
+
+# %%
+# We open an example raster. The data is, by default, unloaded.
+img = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+img
+
+# %%
+# We can print more info on the raster.
+print(img.info())
+
+# %%
+# The data will be loaded explicitly by any function requiring its :attr:`~geoutils.Raster.data`, such as :func:`~geoutils.Raster.show`.
+img.show(cmap="Greys_r")
+
+# %%
+# Opening can be performed with several parameters, for instance choosing a single band with ``index`` and re-sampling with ``downsample``.
+img = gu.Raster(gu.examples.get_path("everest_landsat_rgb"), indexes=2, downsample=4)
+img
+
+# %%
+# The data is unloaded by default, even if when specifying a band or re-sampling.
+# We can load it explicitly by calling :func:`~geoutils.Raster.load` (could have also passed `load_data=True` to # :class:`~geoutils.Raster`).
+img.load()
+img
diff --git a/examples/io/read_satimg.py b/examples/io/read_satimg.py
new file mode 100644
index 000000000..9c4d4afd2
--- /dev/null
+++ b/examples/io/read_satimg.py
@@ -0,0 +1,23 @@
+"""
+SatelliteImage class basics
+===========================
+
+This is (right now) a dummy example for showing the functionality of :class:`geoutils.SatelliteImage`.
+"""
+import matplotlib.pyplot as plt
+
+import geoutils as gu
+
+# %%
+# Example raster:
+img = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
+
+# %%
+# Info:
+print(img)
+
+
+# %%
+# A plot:
+img.show(cmap="Greys_r")
+plt.show()
diff --git a/examples/io/read_vector.py b/examples/io/read_vector.py
new file mode 100644
index 000000000..a3282839e
--- /dev/null
+++ b/examples/io/read_vector.py
@@ -0,0 +1,25 @@
+"""
+Loading and understanding Vectors
+=================================
+
+This is (right now) a dummy example for showing the functionality of :class:`geoutils.Vector`.
+"""
+
+import matplotlib.pyplot as plt
+
+import geoutils as gu
+
+# %%
+# Example raster:
+glaciers = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+
+# %%
+# Info:
+print(glaciers)
+
+
+# %%
+# A plot:
+for _, glacier in glaciers.ds.iterrows():
+    plt.plot(*glacier.geometry.exterior.xy)
+plt.show()
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 69cff1ce7..d587d6e92 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -487,10 +487,12 @@ def indexes_on_disk(self) -> None | tuple[int, ...]:
     @property
     def indexes(self) -> tuple[int, ...]:
         """Return the indexes of bands loaded in memory if they are, otherwise on disk."""
-        if self._indexes_loaded is not None:
-            if isinstance(self._indexes_loaded, int):
-                return (self._indexes_loaded,)
-            return tuple(self._indexes_loaded)
+        if self._indexes is not None and not self.is_loaded:
+            return self._indexes
+        # if self._indexes_loaded is not None:
+        #     if isinstance(self._indexes_loaded, int):
+        #         return (self._indexes_loaded, )
+        #     return tuple(self._indexes_loaded)
         if self.is_loaded:
             return tuple(range(1, self.count + 1))
         return self.indexes_on_disk  # type: ignore

From 016a8d64c9c5f70399665b9608d7dcc481f6cc96 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 20 Feb 2023 21:54:54 -0800
Subject: [PATCH 036/184] Incremental commit on gallery examples

---
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 .../analysis_examples_python.zip              | Bin 22 -> 0 bytes
 doc/source/analysis_examples/index.rst        |  38 ---
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 doc/source/handling_examples/index.rst        |  37 ---
 .../handling_examples/read_raster.ipynb       | 108 ---------
 doc/source/handling_examples/read_raster.py   |  24 --
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 doc/source/handling_examples/read_raster.rst  | 131 -----------
 .../read_raster_codeobj.pickle                | Bin 975 -> 0 bytes
 .../handling_examples/read_satimg.ipynb       | 108 ---------
 doc/source/handling_examples/read_satimg.py   |  23 --
 .../handling_examples/read_satimg.py.md5      |   1 -
 doc/source/handling_examples/read_satimg.rst  | 130 -----------
 .../read_satimg_codeobj.pickle                | Bin 991 -> 0 bytes
 .../handling_examples/read_vector.ipynb       | 108 ---------
 doc/source/handling_examples/read_vector.py   |  25 --
 .../handling_examples/read_vector.py.md5      |   1 -
 doc/source/handling_examples/read_vector.rst  | 150 ------------
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 doc/source/io_examples/index.rst              |  96 --------
 .../io_examples/io_examples_jupyter.zip       | Bin 8208 -> 0 bytes
 doc/source/io_examples/io_examples_python.zip | Bin 2205 -> 0 bytes
 doc/source/io_examples/read_raster.ipynb      | 144 ------------
 doc/source/io_examples/read_raster.py         |  32 ---
 doc/source/io_examples/read_raster.py.md5     |   1 -
 doc/source/io_examples/read_raster.rst        | 217 ------------------
 .../io_examples/read_raster_codeobj.pickle    | Bin 1481 -> 0 bytes
 doc/source/io_examples/read_satimg.ipynb      | 108 ---------
 doc/source/io_examples/read_satimg.py         |  23 --
 doc/source/io_examples/read_satimg.py.md5     |   1 -
 doc/source/io_examples/read_satimg.rst        | 130 -----------
 .../io_examples/read_satimg_codeobj.pickle    | Bin 991 -> 0 bytes
 doc/source/io_examples/read_vector.ipynb      | 108 ---------
 doc/source/io_examples/read_vector.py         |  25 --
 doc/source/io_examples/read_vector.py.md5     |   1 -
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 examples/io/from_array.py                     |  56 +++++
 examples/io/read_raster.py                    |  28 +--
 examples/io/read_vector.py                    |  23 +-
 geoutils/georaster/raster.py                  |   4 +-
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diff --git a/doc/source/handling_examples/index.rst b/doc/source/handling_examples/index.rst
deleted file mode 100644
index a02235a9e..000000000
--- a/doc/source/handling_examples/index.rst
+++ /dev/null
@@ -1,37 +0,0 @@
-:orphan:
-
-Handling
-========
-
-Examples about warping, reprojecting, resampling cropping, as well as rasterizing and polygonizing of georeferenced data.
-
-
-
-.. raw:: html
-
-    <div class="sphx-glr-thumbnails">
-
-
-.. raw:: html
-
-    </div>
-
-
-.. only:: html
-
-  .. container:: sphx-glr-footer sphx-glr-footer-gallery
-
-    .. container:: sphx-glr-download sphx-glr-download-python
-
-      :download:`Download all examples in Python source code: handling_examples_python.zip </handling_examples/handling_examples_python.zip>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download all examples in Jupyter notebooks: handling_examples_jupyter.zip </handling_examples/handling_examples_jupyter.zip>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
-    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/handling_examples/read_raster.ipynb b/doc/source/handling_examples/read_raster.ipynb
deleted file mode 100644
index 72e6c4623..000000000
--- a/doc/source/handling_examples/read_raster.ipynb
+++ /dev/null
@@ -1,108 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "\n# Loading and understanding Rasters\n\nThis is (right now) a dummy example for showing the functionality of :class:`geoutils.Raster`.\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "import matplotlib.pyplot as plt\n\nimport geoutils as gu"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Example raster:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "img = gu.Raster(gu.examples.get_path(\"everest_landsat_b4\"))"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Info:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "print(img)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "A plot:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "img.show(cmap=\"Greys_r\")\nplt.show()"
-      ]
-    }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Python 3",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.10.9"
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 0
-}
\ No newline at end of file
diff --git a/doc/source/handling_examples/read_raster.py b/doc/source/handling_examples/read_raster.py
deleted file mode 100644
index 617f1ff72..000000000
--- a/doc/source/handling_examples/read_raster.py
+++ /dev/null
@@ -1,24 +0,0 @@
-"""
-Loading and understanding Rasters
-=================================
-
-This is (right now) a dummy example for showing the functionality of :class:`geoutils.Raster`.
-"""
-
-import matplotlib.pyplot as plt
-
-import geoutils as gu
-
-# %%
-# Example raster:
-img = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
-
-# %%
-# Info:
-print(img)
-
-
-# %%
-# A plot:
-img.show(cmap="Greys_r")
-plt.show()
diff --git a/doc/source/handling_examples/read_raster.py.md5 b/doc/source/handling_examples/read_raster.py.md5
deleted file mode 100644
index cff3da644..000000000
--- a/doc/source/handling_examples/read_raster.py.md5
+++ /dev/null
@@ -1 +0,0 @@
-3aad6d3dc8ef4c2558a827cad52379c2
\ No newline at end of file
diff --git a/doc/source/handling_examples/read_raster.rst b/doc/source/handling_examples/read_raster.rst
deleted file mode 100644
index cdad8a617..000000000
--- a/doc/source/handling_examples/read_raster.rst
+++ /dev/null
@@ -1,131 +0,0 @@
-
-.. DO NOT EDIT.
-.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
-.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
-.. "handling_examples/read_raster.py"
-.. LINE NUMBERS ARE GIVEN BELOW.
-
-.. only:: html
-
-    .. note::
-        :class: sphx-glr-download-link-note
-
-        Click :ref:`here <sphx_glr_download_handling_examples_read_raster.py>`
-        to download the full example code
-
-.. rst-class:: sphx-glr-example-title
-
-.. _sphx_glr_handling_examples_read_raster.py:
-
-
-Loading and understanding Rasters
-=================================
-
-This is (right now) a dummy example for showing the functionality of :class:`geoutils.Raster`.
-
-.. GENERATED FROM PYTHON SOURCE LINES 7-12
-
-.. code-block:: default
-
-
-    import matplotlib.pyplot as plt
-
-    import geoutils as gu
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 13-14
-
-Example raster:
-
-.. GENERATED FROM PYTHON SOURCE LINES 14-16
-
-.. code-block:: default
-
-    img = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 17-18
-
-Info:
-
-.. GENERATED FROM PYTHON SOURCE LINES 18-21
-
-.. code-block:: default
-
-    print(img)
-
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- .. code-block:: none
-
-    not_loaded
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 22-23
-
-A plot:
-
-.. GENERATED FROM PYTHON SOURCE LINES 23-25
-
-.. code-block:: default
-
-    img.show(cmap="Greys_r")
-    plt.show()
-
-
-
-.. image-sg:: /handling_examples/images/sphx_glr_read_raster_001.png
-   :alt: read raster
-   :srcset: /handling_examples/images/sphx_glr_read_raster_001.png
-   :class: sphx-glr-single-img
-
-
-
-
-
-
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** ( 0 minutes  0.096 seconds)
-
-
-.. _sphx_glr_download_handling_examples_read_raster.py:
-
-.. only:: html
-
-  .. container:: sphx-glr-footer sphx-glr-footer-example
-
-
-    .. container:: sphx-glr-download sphx-glr-download-python
-
-      :download:`Download Python source code: read_raster.py <read_raster.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: read_raster.ipynb <read_raster.ipynb>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
-    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/handling_examples/read_raster_codeobj.pickle b/doc/source/handling_examples/read_raster_codeobj.pickle
deleted file mode 100644
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diff --git a/doc/source/handling_examples/read_satimg.ipynb b/doc/source/handling_examples/read_satimg.ipynb
deleted file mode 100644
index 856d04062..000000000
--- a/doc/source/handling_examples/read_satimg.ipynb
+++ /dev/null
@@ -1,108 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "\n# SatelliteImage class basics\n\nThis is (right now) a dummy example for showing the functionality of :class:`geoutils.SatelliteImage`.\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "import matplotlib.pyplot as plt\n\nimport geoutils as gu"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Example raster:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "img = gu.Raster(gu.examples.get_path(\"everest_landsat_b4_cropped\"))"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Info:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "print(img)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "A plot:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "img.show(cmap=\"Greys_r\")\nplt.show()"
-      ]
-    }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Python 3",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.10.9"
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 0
-}
\ No newline at end of file
diff --git a/doc/source/handling_examples/read_satimg.py b/doc/source/handling_examples/read_satimg.py
deleted file mode 100644
index 9c4d4afd2..000000000
--- a/doc/source/handling_examples/read_satimg.py
+++ /dev/null
@@ -1,23 +0,0 @@
-"""
-SatelliteImage class basics
-===========================
-
-This is (right now) a dummy example for showing the functionality of :class:`geoutils.SatelliteImage`.
-"""
-import matplotlib.pyplot as plt
-
-import geoutils as gu
-
-# %%
-# Example raster:
-img = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
-
-# %%
-# Info:
-print(img)
-
-
-# %%
-# A plot:
-img.show(cmap="Greys_r")
-plt.show()
diff --git a/doc/source/handling_examples/read_satimg.py.md5 b/doc/source/handling_examples/read_satimg.py.md5
deleted file mode 100644
index 2a522a091..000000000
--- a/doc/source/handling_examples/read_satimg.py.md5
+++ /dev/null
@@ -1 +0,0 @@
-4692bb52ad05dc058226c3b82fad0246
\ No newline at end of file
diff --git a/doc/source/handling_examples/read_satimg.rst b/doc/source/handling_examples/read_satimg.rst
deleted file mode 100644
index 93524a7b8..000000000
--- a/doc/source/handling_examples/read_satimg.rst
+++ /dev/null
@@ -1,130 +0,0 @@
-
-.. DO NOT EDIT.
-.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
-.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
-.. "handling_examples/read_satimg.py"
-.. LINE NUMBERS ARE GIVEN BELOW.
-
-.. only:: html
-
-    .. note::
-        :class: sphx-glr-download-link-note
-
-        Click :ref:`here <sphx_glr_download_handling_examples_read_satimg.py>`
-        to download the full example code
-
-.. rst-class:: sphx-glr-example-title
-
-.. _sphx_glr_handling_examples_read_satimg.py:
-
-
-SatelliteImage class basics
-===========================
-
-This is (right now) a dummy example for showing the functionality of :class:`geoutils.SatelliteImage`.
-
-.. GENERATED FROM PYTHON SOURCE LINES 7-11
-
-.. code-block:: default
-
-    import matplotlib.pyplot as plt
-
-    import geoutils as gu
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 12-13
-
-Example raster:
-
-.. GENERATED FROM PYTHON SOURCE LINES 13-15
-
-.. code-block:: default
-
-    img = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 16-17
-
-Info:
-
-.. GENERATED FROM PYTHON SOURCE LINES 17-20
-
-.. code-block:: default
-
-    print(img)
-
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- .. code-block:: none
-
-    not_loaded
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 21-22
-
-A plot:
-
-.. GENERATED FROM PYTHON SOURCE LINES 22-24
-
-.. code-block:: default
-
-    img.show(cmap="Greys_r")
-    plt.show()
-
-
-
-.. image-sg:: /handling_examples/images/sphx_glr_read_satimg_001.png
-   :alt: read satimg
-   :srcset: /handling_examples/images/sphx_glr_read_satimg_001.png
-   :class: sphx-glr-single-img
-
-
-
-
-
-
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** ( 0 minutes  0.077 seconds)
-
-
-.. _sphx_glr_download_handling_examples_read_satimg.py:
-
-.. only:: html
-
-  .. container:: sphx-glr-footer sphx-glr-footer-example
-
-
-    .. container:: sphx-glr-download sphx-glr-download-python
-
-      :download:`Download Python source code: read_satimg.py <read_satimg.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: read_satimg.ipynb <read_satimg.ipynb>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
-    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/handling_examples/read_satimg_codeobj.pickle b/doc/source/handling_examples/read_satimg_codeobj.pickle
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diff --git a/doc/source/handling_examples/read_vector.ipynb b/doc/source/handling_examples/read_vector.ipynb
deleted file mode 100644
index 425f762b5..000000000
--- a/doc/source/handling_examples/read_vector.ipynb
+++ /dev/null
@@ -1,108 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "\n# Loading and understanding Vectors\n\nThis is (right now) a dummy example for showing the functionality of :class:`geoutils.Vector`.\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "import matplotlib.pyplot as plt\n\nimport geoutils as gu"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Example raster:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "glaciers = gu.Vector(gu.examples.get_path(\"everest_rgi_outlines\"))"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Info:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "print(glaciers)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "A plot:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "for _, glacier in glaciers.ds.iterrows():\n    plt.plot(*glacier.geometry.exterior.xy)\nplt.show()"
-      ]
-    }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Python 3",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.10.9"
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 0
-}
\ No newline at end of file
diff --git a/doc/source/handling_examples/read_vector.py b/doc/source/handling_examples/read_vector.py
deleted file mode 100644
index a3282839e..000000000
--- a/doc/source/handling_examples/read_vector.py
+++ /dev/null
@@ -1,25 +0,0 @@
-"""
-Loading and understanding Vectors
-=================================
-
-This is (right now) a dummy example for showing the functionality of :class:`geoutils.Vector`.
-"""
-
-import matplotlib.pyplot as plt
-
-import geoutils as gu
-
-# %%
-# Example raster:
-glaciers = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
-
-# %%
-# Info:
-print(glaciers)
-
-
-# %%
-# A plot:
-for _, glacier in glaciers.ds.iterrows():
-    plt.plot(*glacier.geometry.exterior.xy)
-plt.show()
diff --git a/doc/source/handling_examples/read_vector.py.md5 b/doc/source/handling_examples/read_vector.py.md5
deleted file mode 100644
index e49c8bd26..000000000
--- a/doc/source/handling_examples/read_vector.py.md5
+++ /dev/null
@@ -1 +0,0 @@
-610752bf652a95a4e6fda70357a5314d
\ No newline at end of file
diff --git a/doc/source/handling_examples/read_vector.rst b/doc/source/handling_examples/read_vector.rst
deleted file mode 100644
index 7334e7084..000000000
--- a/doc/source/handling_examples/read_vector.rst
+++ /dev/null
@@ -1,150 +0,0 @@
-
-.. DO NOT EDIT.
-.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
-.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
-.. "handling_examples/read_vector.py"
-.. LINE NUMBERS ARE GIVEN BELOW.
-
-.. only:: html
-
-    .. note::
-        :class: sphx-glr-download-link-note
-
-        Click :ref:`here <sphx_glr_download_handling_examples_read_vector.py>`
-        to download the full example code
-
-.. rst-class:: sphx-glr-example-title
-
-.. _sphx_glr_handling_examples_read_vector.py:
-
-
-Loading and understanding Vectors
-=================================
-
-This is (right now) a dummy example for showing the functionality of :class:`geoutils.Vector`.
-
-.. GENERATED FROM PYTHON SOURCE LINES 7-12
-
-.. code-block:: default
-
-
-    import matplotlib.pyplot as plt
-
-    import geoutils as gu
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 13-14
-
-Example raster:
-
-.. GENERATED FROM PYTHON SOURCE LINES 14-16
-
-.. code-block:: default
-
-    glaciers = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 17-18
-
-Info:
-
-.. GENERATED FROM PYTHON SOURCE LINES 18-21
-
-.. code-block:: default
-
-    print(glaciers)
-
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- .. code-block:: none
-
-    Filename:           /home/atom/code/devel/libs/geoutils/examples/data/Everest_Landsat/15_rgi60_glacier_outlines.gpkg 
-    Coordinate System:  EPSG:4326
-    Number of features: 86 
-    Extent:             [86.70393205700003, 27.847778695000045, 87.11409458600008, 28.14549759700003] 
-    Attributes:         ['RGIId', 'GLIMSId', 'BgnDate', 'EndDate', 'CenLon', 'CenLat', 'O1Region', 'O2Region', 'Area', 'Zmin', 'Zmax', 'Zmed', 'Slope', 'Aspect', 'Lmax', 'Status', 'Connect', 'Form', 'TermType', 'Surging', 'Linkages', 'Name', 'geometry'] 
-                 RGIId  ...                                           geometry
-    0   RGI60-15.03410  ...  POLYGON ((86.92842 27.92877, 86.92866 27.92930...
-    1   RGI60-15.03411  ...  POLYGON ((86.94077 27.92375, 86.94059 27.92295...
-    2   RGI60-15.03412  ...  POLYGON ((86.85344 27.94752, 86.85340 27.94752...
-    3   RGI60-15.03413  ...  POLYGON ((86.84776 27.94845, 86.84776 27.94849...
-    4   RGI60-15.03414  ...  POLYGON ((86.84567 27.96906, 86.84567 27.96910...
-    ..             ...  ...                                                ...
-    81  RGI60-15.10070  ...  POLYGON ((86.94112 28.11455, 86.94129 28.11452...
-    82  RGI60-15.10075  ...  POLYGON ((86.95861 28.04669, 86.95847 28.04701...
-    83  RGI60-15.10077  ...  POLYGON ((86.96454 28.07843, 86.96445 28.07814...
-    84  RGI60-15.10078  ...  POLYGON ((86.96302 28.04915, 86.96304 28.04920...
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-
-    [86 rows x 23 columns]
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 22-23
-
-A plot:
-
-.. GENERATED FROM PYTHON SOURCE LINES 23-26
-
-.. code-block:: default
-
-    for _, glacier in glaciers.ds.iterrows():
-        plt.plot(*glacier.geometry.exterior.xy)
-    plt.show()
-
-
-
-.. image-sg:: /handling_examples/images/sphx_glr_read_vector_001.png
-   :alt: read vector
-   :srcset: /handling_examples/images/sphx_glr_read_vector_001.png
-   :class: sphx-glr-single-img
-
-
-
-
-
-
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** ( 0 minutes  0.114 seconds)
-
-
-.. _sphx_glr_download_handling_examples_read_vector.py:
-
-.. only:: html
-
-  .. container:: sphx-glr-footer sphx-glr-footer-example
-
-
-    .. container:: sphx-glr-download sphx-glr-download-python
-
-      :download:`Download Python source code: read_vector.py <read_vector.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: read_vector.ipynb <read_vector.ipynb>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
-    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
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diff --git a/doc/source/handling_examples/searchindex.dir b/doc/source/handling_examples/searchindex.dir
deleted file mode 100644
index 38a7775ad..000000000
--- a/doc/source/handling_examples/searchindex.dir
+++ /dev/null
@@ -1,3 +0,0 @@
-'/home/atom/code/devel/libs/geoutils/doc/build/index.html', (0, 35132)
-'/home/atom/code/devel/libs/geoutils/doc/build/_static/documentation_options.js', (35328, 440)
-'/home/atom/code/devel/libs/geoutils/doc/build/searchindex.js', (35840, 48486)
diff --git a/doc/source/handling_examples/sg_execution_times.rst b/doc/source/handling_examples/sg_execution_times.rst
deleted file mode 100644
index 426de5f9d..000000000
--- a/doc/source/handling_examples/sg_execution_times.rst
+++ /dev/null
@@ -1,16 +0,0 @@
-
-:orphan:
-
-.. _sphx_glr_handling_examples_sg_execution_times:
-
-Computation times
-=================
-**00:00.286** total execution time for **handling_examples** files:
-
-+-----------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_handling_examples_read_vector.py` (``read_vector.py``) | 00:00.114 | 0.0 MB |
-+-----------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_handling_examples_read_raster.py` (``read_raster.py``) | 00:00.096 | 0.0 MB |
-+-----------------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_handling_examples_read_satimg.py` (``read_satimg.py``) | 00:00.077 | 0.0 MB |
-+-----------------------------------------------------------------------+-----------+--------+
diff --git a/doc/source/io_examples/images/sphx_glr_read_raster_001.png b/doc/source/io_examples/images/sphx_glr_read_raster_001.png
deleted file mode 100644
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diff --git a/doc/source/io_examples/index.rst b/doc/source/io_examples/index.rst
deleted file mode 100644
index 2cc6d6f7b..000000000
--- a/doc/source/io_examples/index.rst
+++ /dev/null
@@ -1,96 +0,0 @@
-:orphan:
-
-Input/output
-============
-
-Examples about opening, creating, loading or saving raster and vector data.
-
-
-
-.. raw:: html
-
-    <div class="sphx-glr-thumbnails">
-
-
-.. raw:: html
-
-    <div class="sphx-glr-thumbcontainer" tooltip="This is (right now) a dummy example for showing the functionality of geoutils.SatelliteImage.">
-
-.. only:: html
-
-  .. image:: /io_examples/images/thumb/sphx_glr_read_satimg_thumb.png
-    :alt: SatelliteImage class basics
-
-  :ref:`sphx_glr_io_examples_read_satimg.py`
-
-.. raw:: html
-
-      <div class="sphx-glr-thumbnail-title">SatelliteImage class basics</div>
-    </div>
-
-
-.. raw:: html
-
-    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates the instantiation of a Raster from file.">
-
-.. only:: html
-
-  .. image:: /io_examples/images/thumb/sphx_glr_read_raster_thumb.png
-    :alt: Opening a raster from file
-
-  :ref:`sphx_glr_io_examples_read_raster.py`
-
-.. raw:: html
-
-      <div class="sphx-glr-thumbnail-title">Opening a raster from file</div>
-    </div>
-
-
-.. raw:: html
-
-    <div class="sphx-glr-thumbcontainer" tooltip="This is (right now) a dummy example for showing the functionality of geoutils.Vector.">
-
-.. only:: html
-
-  .. image:: /io_examples/images/thumb/sphx_glr_read_vector_thumb.png
-    :alt: Loading and understanding Vectors
-
-  :ref:`sphx_glr_io_examples_read_vector.py`
-
-.. raw:: html
-
-      <div class="sphx-glr-thumbnail-title">Loading and understanding Vectors</div>
-    </div>
-
-
-.. raw:: html
-
-    </div>
-
-
-.. toctree::
-   :hidden:
-
-   /io_examples/read_satimg
-   /io_examples/read_raster
-   /io_examples/read_vector
-
-
-.. only:: html
-
-  .. container:: sphx-glr-footer sphx-glr-footer-gallery
-
-    .. container:: sphx-glr-download sphx-glr-download-python
-
-      :download:`Download all examples in Python source code: io_examples_python.zip </io_examples/io_examples_python.zip>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download all examples in Jupyter notebooks: io_examples_jupyter.zip </io_examples/io_examples_jupyter.zip>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
-    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/io_examples/io_examples_jupyter.zip b/doc/source/io_examples/io_examples_jupyter.zip
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diff --git a/doc/source/io_examples/read_raster.ipynb b/doc/source/io_examples/read_raster.ipynb
deleted file mode 100644
index bee1f43ae..000000000
--- a/doc/source/io_examples/read_raster.ipynb
+++ /dev/null
@@ -1,144 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "\n# Opening a raster from file\n\nThis example demonstrates the instantiation of a :class:`~geoutils.Raster` from file.\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "import geoutils as gu"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "We open an example raster. The data is, by default, unloaded.\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "img = gu.Raster(gu.examples.get_path(\"everest_landsat_b4\"))\nimg"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "We can print more info on the raster.\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "print(img.info())"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "The data will be loaded explicitly by any function requiring its :attr:`~geoutils.Raster.data`, such as :func:`~geoutils.Raster.show`.\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "img.show(cmap=\"Greys_r\")"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Opening can be performed with several parameters, for instance choosing a single band with `index` and re-sampling with `downsample`\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "img = gu.Raster(gu.examples.get_path(\"everest_landsat_rgb\"), indexes=2, downsample=4)\nimg"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "The data is unloaded by default, even if when specifying a band or re-sampling.\nWe can load it explicitly by calling :func:`~geoutils.Raster.load` (could have also passed `load_data=True` to # :class:`~geoutils.Raster`).\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "img.load()\nimg"
-      ]
-    }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Python 3",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.10.9"
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 0
-}
\ No newline at end of file
diff --git a/doc/source/io_examples/read_raster.py b/doc/source/io_examples/read_raster.py
deleted file mode 100644
index cb9cd1abc..000000000
--- a/doc/source/io_examples/read_raster.py
+++ /dev/null
@@ -1,32 +0,0 @@
-"""
-Opening a raster from file
-==========================
-
-This example demonstrates the instantiation of a :class:`~geoutils.Raster` from file.
-"""
-
-import geoutils as gu
-
-# %%
-# We open an example raster. The data is, by default, unloaded.
-img = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
-img
-
-# %%
-# We can print more info on the raster.
-print(img.info())
-
-# %%
-# The data will be loaded explicitly by any function requiring its :attr:`~geoutils.Raster.data`, such as :func:`~geoutils.Raster.show`.
-img.show(cmap="Greys_r")
-
-# %%
-# Opening can be performed with several parameters, for instance choosing a single band with `index` and re-sampling with `downsample`
-img = gu.Raster(gu.examples.get_path("everest_landsat_rgb"), indexes=2, downsample=4)
-img
-
-# %%
-# The data is unloaded by default, even if when specifying a band or re-sampling.
-# We can load it explicitly by calling :func:`~geoutils.Raster.load` (could have also passed `load_data=True` to # :class:`~geoutils.Raster`).
-img.load()
-img
diff --git a/doc/source/io_examples/read_raster.py.md5 b/doc/source/io_examples/read_raster.py.md5
deleted file mode 100644
index f94094c68..000000000
--- a/doc/source/io_examples/read_raster.py.md5
+++ /dev/null
@@ -1 +0,0 @@
-97953828ecec7cf0e5d6d5348df67cfa
\ No newline at end of file
diff --git a/doc/source/io_examples/read_raster.rst b/doc/source/io_examples/read_raster.rst
deleted file mode 100644
index 4baa314cf..000000000
--- a/doc/source/io_examples/read_raster.rst
+++ /dev/null
@@ -1,217 +0,0 @@
-
-.. DO NOT EDIT.
-.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
-.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
-.. "io_examples/read_raster.py"
-.. LINE NUMBERS ARE GIVEN BELOW.
-
-.. only:: html
-
-    .. note::
-        :class: sphx-glr-download-link-note
-
-        Click :ref:`here <sphx_glr_download_io_examples_read_raster.py>`
-        to download the full example code
-
-.. rst-class:: sphx-glr-example-title
-
-.. _sphx_glr_io_examples_read_raster.py:
-
-
-Opening a raster from file
-==========================
-
-This example demonstrates the instantiation of a :class:`~geoutils.Raster` from file.
-
-.. GENERATED FROM PYTHON SOURCE LINES 7-10
-
-.. code-block:: default
-
-
-    import geoutils as gu
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 11-12
-
-We open an example raster. The data is, by default, unloaded.
-
-.. GENERATED FROM PYTHON SOURCE LINES 12-15
-
-.. code-block:: default
-
-    img = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
-    img
-
-
-
-
-
-
-.. raw:: html
-
-    <div class="output_subarea output_html rendered_html output_result">
-    <pre><span style="white-space: pre-wrap"><b><em>Raster</em></b>(
-      <b>data=</b><i>not_loaded</i>
-      <b>transform=</b>| 30.00, 0.00, 478000.00|
-                | 0.00,-30.00, 3108140.00|
-                | 0.00, 0.00, 1.00|
-      <b>crs=</b>EPSG:32645)</span></pre>
-    </div>
-    <br />
-    <br />
-
-.. GENERATED FROM PYTHON SOURCE LINES 16-17
-
-We can print more info on the raster.
-
-.. GENERATED FROM PYTHON SOURCE LINES 17-19
-
-.. code-block:: default
-
-    print(img.info())
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- .. code-block:: none
-
-    Driver:               GTiff 
-    Opened from file:     /home/atom/code/devel/libs/geoutils/examples/data/Everest_Landsat/LE71400412000304SGS00_B4.tif 
-    Filename:             /home/atom/code/devel/libs/geoutils/examples/data/Everest_Landsat/LE71400412000304SGS00_B4.tif 
-    Loaded?               False 
-    Modified since load?  False 
-    Size:                 800, 655
-    Number of bands:      1
-    Data types:           ('uint8',)
-    Coordinate System:    ['EPSG:32645']
-    NoData Value:         None
-    Pixel Size:           30.0, 30.0
-    Upper Left Corner:    478000.0, 3088490.0
-    Lower Right Corner:   502000.0, 3108140.0
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 20-21
-
-The data will be loaded explicitly by any function requiring its :attr:`~geoutils.Raster.data`, such as :func:`~geoutils.Raster.show`.
-
-.. GENERATED FROM PYTHON SOURCE LINES 21-23
-
-.. code-block:: default
-
-    img.show(cmap="Greys_r")
-
-
-
-
-.. image-sg:: /io_examples/images/sphx_glr_read_raster_001.png
-   :alt: read raster
-   :srcset: /io_examples/images/sphx_glr_read_raster_001.png
-   :class: sphx-glr-single-img
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 24-25
-
-Opening can be performed with several parameters, for instance choosing a single band with `index` and re-sampling with `downsample`
-
-.. GENERATED FROM PYTHON SOURCE LINES 25-28
-
-.. code-block:: default
-
-    img = gu.Raster(gu.examples.get_path("everest_landsat_rgb"), indexes=2, downsample=4)
-    img
-
-
-
-
-
-
-.. raw:: html
-
-    <div class="output_subarea output_html rendered_html output_result">
-    <pre><span style="white-space: pre-wrap"><b><em>Raster</em></b>(
-      <b>data=</b><i>not_loaded</i>
-      <b>transform=</b>| 120.00, 0.00, 478000.00|
-                | 0.00,-120.00, 3108140.00|
-                | 0.00, 0.00, 1.00|
-      <b>crs=</b>EPSG:32645)</span></pre>
-    </div>
-    <br />
-    <br />
-
-.. GENERATED FROM PYTHON SOURCE LINES 29-31
-
-The data is unloaded by default, even if when specifying a band or re-sampling.
-We can load it explicitly by calling :func:`~geoutils.Raster.load` (could have also passed `load_data=True` to # :class:`~geoutils.Raster`).
-
-.. GENERATED FROM PYTHON SOURCE LINES 31-33
-
-.. code-block:: default
-
-    img.load()
-    img
-
-
-
-
-
-.. raw:: html
-
-    <div class="output_subarea output_html rendered_html output_result">
-    <pre><span style="white-space: pre-wrap"><b><em>Raster</em></b>(
-      <b>data=</b>[[[255 255 255 ... 255 255 255]
-             [255 255 255 ... 255 255 255]
-             [255 255 255 ... 255 255 255]
-             ...
-             [ 38  66  92 ... 114 147 157]
-             [ 86  54  29 ... 122 142 171]
-             [ 94  35  35 ... 150 151 223]]]
-      <b>transform=</b>| 120.00, 0.00, 478000.00|
-                | 0.00,-120.00, 3108140.00|
-                | 0.00, 0.00, 1.00|
-      <b>crs=</b>EPSG:32645)</span></pre>
-    </div>
-    <br />
-    <br />
-
-
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** ( 0 minutes  0.104 seconds)
-
-
-.. _sphx_glr_download_io_examples_read_raster.py:
-
-.. only:: html
-
-  .. container:: sphx-glr-footer sphx-glr-footer-example
-
-
-    .. container:: sphx-glr-download sphx-glr-download-python
-
-      :download:`Download Python source code: read_raster.py <read_raster.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: read_raster.ipynb <read_raster.ipynb>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
-    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/io_examples/read_raster_codeobj.pickle b/doc/source/io_examples/read_raster_codeobj.pickle
deleted file mode 100644
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diff --git a/doc/source/io_examples/read_satimg.ipynb b/doc/source/io_examples/read_satimg.ipynb
deleted file mode 100644
index 856d04062..000000000
--- a/doc/source/io_examples/read_satimg.ipynb
+++ /dev/null
@@ -1,108 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "\n# SatelliteImage class basics\n\nThis is (right now) a dummy example for showing the functionality of :class:`geoutils.SatelliteImage`.\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "import matplotlib.pyplot as plt\n\nimport geoutils as gu"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Example raster:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "img = gu.Raster(gu.examples.get_path(\"everest_landsat_b4_cropped\"))"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Info:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "print(img)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "A plot:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "img.show(cmap=\"Greys_r\")\nplt.show()"
-      ]
-    }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Python 3",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.10.9"
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 0
-}
\ No newline at end of file
diff --git a/doc/source/io_examples/read_satimg.py b/doc/source/io_examples/read_satimg.py
deleted file mode 100644
index 9c4d4afd2..000000000
--- a/doc/source/io_examples/read_satimg.py
+++ /dev/null
@@ -1,23 +0,0 @@
-"""
-SatelliteImage class basics
-===========================
-
-This is (right now) a dummy example for showing the functionality of :class:`geoutils.SatelliteImage`.
-"""
-import matplotlib.pyplot as plt
-
-import geoutils as gu
-
-# %%
-# Example raster:
-img = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
-
-# %%
-# Info:
-print(img)
-
-
-# %%
-# A plot:
-img.show(cmap="Greys_r")
-plt.show()
diff --git a/doc/source/io_examples/read_satimg.py.md5 b/doc/source/io_examples/read_satimg.py.md5
deleted file mode 100644
index 2a522a091..000000000
--- a/doc/source/io_examples/read_satimg.py.md5
+++ /dev/null
@@ -1 +0,0 @@
-4692bb52ad05dc058226c3b82fad0246
\ No newline at end of file
diff --git a/doc/source/io_examples/read_satimg.rst b/doc/source/io_examples/read_satimg.rst
deleted file mode 100644
index 18c221cd9..000000000
--- a/doc/source/io_examples/read_satimg.rst
+++ /dev/null
@@ -1,130 +0,0 @@
-
-.. DO NOT EDIT.
-.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
-.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
-.. "io_examples/read_satimg.py"
-.. LINE NUMBERS ARE GIVEN BELOW.
-
-.. only:: html
-
-    .. note::
-        :class: sphx-glr-download-link-note
-
-        Click :ref:`here <sphx_glr_download_io_examples_read_satimg.py>`
-        to download the full example code
-
-.. rst-class:: sphx-glr-example-title
-
-.. _sphx_glr_io_examples_read_satimg.py:
-
-
-SatelliteImage class basics
-===========================
-
-This is (right now) a dummy example for showing the functionality of :class:`geoutils.SatelliteImage`.
-
-.. GENERATED FROM PYTHON SOURCE LINES 7-11
-
-.. code-block:: default
-
-    import matplotlib.pyplot as plt
-
-    import geoutils as gu
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 12-13
-
-Example raster:
-
-.. GENERATED FROM PYTHON SOURCE LINES 13-15
-
-.. code-block:: default
-
-    img = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 16-17
-
-Info:
-
-.. GENERATED FROM PYTHON SOURCE LINES 17-20
-
-.. code-block:: default
-
-    print(img)
-
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- .. code-block:: none
-
-    not_loaded
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 21-22
-
-A plot:
-
-.. GENERATED FROM PYTHON SOURCE LINES 22-24
-
-.. code-block:: default
-
-    img.show(cmap="Greys_r")
-    plt.show()
-
-
-
-.. image-sg:: /io_examples/images/sphx_glr_read_satimg_001.png
-   :alt: read satimg
-   :srcset: /io_examples/images/sphx_glr_read_satimg_001.png
-   :class: sphx-glr-single-img
-
-
-
-
-
-
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** ( 0 minutes  0.086 seconds)
-
-
-.. _sphx_glr_download_io_examples_read_satimg.py:
-
-.. only:: html
-
-  .. container:: sphx-glr-footer sphx-glr-footer-example
-
-
-    .. container:: sphx-glr-download sphx-glr-download-python
-
-      :download:`Download Python source code: read_satimg.py <read_satimg.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: read_satimg.ipynb <read_satimg.ipynb>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
-    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/io_examples/read_satimg_codeobj.pickle b/doc/source/io_examples/read_satimg_codeobj.pickle
deleted file mode 100644
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diff --git a/doc/source/io_examples/read_vector.ipynb b/doc/source/io_examples/read_vector.ipynb
deleted file mode 100644
index 425f762b5..000000000
--- a/doc/source/io_examples/read_vector.ipynb
+++ /dev/null
@@ -1,108 +0,0 @@
-{
-  "cells": [
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "%matplotlib inline"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "\n# Loading and understanding Vectors\n\nThis is (right now) a dummy example for showing the functionality of :class:`geoutils.Vector`.\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "import matplotlib.pyplot as plt\n\nimport geoutils as gu"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Example raster:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "glaciers = gu.Vector(gu.examples.get_path(\"everest_rgi_outlines\"))"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "Info:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "print(glaciers)"
-      ]
-    },
-    {
-      "cell_type": "markdown",
-      "metadata": {},
-      "source": [
-        "A plot:\n\n"
-      ]
-    },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "collapsed": false
-      },
-      "outputs": [],
-      "source": [
-        "for _, glacier in glaciers.ds.iterrows():\n    plt.plot(*glacier.geometry.exterior.xy)\nplt.show()"
-      ]
-    }
-  ],
-  "metadata": {
-    "kernelspec": {
-      "display_name": "Python 3",
-      "language": "python",
-      "name": "python3"
-    },
-    "language_info": {
-      "codemirror_mode": {
-        "name": "ipython",
-        "version": 3
-      },
-      "file_extension": ".py",
-      "mimetype": "text/x-python",
-      "name": "python",
-      "nbconvert_exporter": "python",
-      "pygments_lexer": "ipython3",
-      "version": "3.10.9"
-    }
-  },
-  "nbformat": 4,
-  "nbformat_minor": 0
-}
\ No newline at end of file
diff --git a/doc/source/io_examples/read_vector.py b/doc/source/io_examples/read_vector.py
deleted file mode 100644
index a3282839e..000000000
--- a/doc/source/io_examples/read_vector.py
+++ /dev/null
@@ -1,25 +0,0 @@
-"""
-Loading and understanding Vectors
-=================================
-
-This is (right now) a dummy example for showing the functionality of :class:`geoutils.Vector`.
-"""
-
-import matplotlib.pyplot as plt
-
-import geoutils as gu
-
-# %%
-# Example raster:
-glaciers = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
-
-# %%
-# Info:
-print(glaciers)
-
-
-# %%
-# A plot:
-for _, glacier in glaciers.ds.iterrows():
-    plt.plot(*glacier.geometry.exterior.xy)
-plt.show()
diff --git a/doc/source/io_examples/read_vector.py.md5 b/doc/source/io_examples/read_vector.py.md5
deleted file mode 100644
index e49c8bd26..000000000
--- a/doc/source/io_examples/read_vector.py.md5
+++ /dev/null
@@ -1 +0,0 @@
-610752bf652a95a4e6fda70357a5314d
\ No newline at end of file
diff --git a/doc/source/io_examples/read_vector.rst b/doc/source/io_examples/read_vector.rst
deleted file mode 100644
index f9d9cb713..000000000
--- a/doc/source/io_examples/read_vector.rst
+++ /dev/null
@@ -1,150 +0,0 @@
-
-.. DO NOT EDIT.
-.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
-.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
-.. "io_examples/read_vector.py"
-.. LINE NUMBERS ARE GIVEN BELOW.
-
-.. only:: html
-
-    .. note::
-        :class: sphx-glr-download-link-note
-
-        Click :ref:`here <sphx_glr_download_io_examples_read_vector.py>`
-        to download the full example code
-
-.. rst-class:: sphx-glr-example-title
-
-.. _sphx_glr_io_examples_read_vector.py:
-
-
-Loading and understanding Vectors
-=================================
-
-This is (right now) a dummy example for showing the functionality of :class:`geoutils.Vector`.
-
-.. GENERATED FROM PYTHON SOURCE LINES 7-12
-
-.. code-block:: default
-
-
-    import matplotlib.pyplot as plt
-
-    import geoutils as gu
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 13-14
-
-Example raster:
-
-.. GENERATED FROM PYTHON SOURCE LINES 14-16
-
-.. code-block:: default
-
-    glaciers = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
-
-
-
-
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 17-18
-
-Info:
-
-.. GENERATED FROM PYTHON SOURCE LINES 18-21
-
-.. code-block:: default
-
-    print(glaciers)
-
-
-
-
-
-
-.. rst-class:: sphx-glr-script-out
-
- .. code-block:: none
-
-    Filename:           /home/atom/code/devel/libs/geoutils/examples/data/Everest_Landsat/15_rgi60_glacier_outlines.gpkg 
-    Coordinate System:  EPSG:4326
-    Number of features: 86 
-    Extent:             [86.70393205700003, 27.847778695000045, 87.11409458600008, 28.14549759700003] 
-    Attributes:         ['RGIId', 'GLIMSId', 'BgnDate', 'EndDate', 'CenLon', 'CenLat', 'O1Region', 'O2Region', 'Area', 'Zmin', 'Zmax', 'Zmed', 'Slope', 'Aspect', 'Lmax', 'Status', 'Connect', 'Form', 'TermType', 'Surging', 'Linkages', 'Name', 'geometry'] 
-                 RGIId  ...                                           geometry
-    0   RGI60-15.03410  ...  POLYGON ((86.92842 27.92877, 86.92866 27.92930...
-    1   RGI60-15.03411  ...  POLYGON ((86.94077 27.92375, 86.94059 27.92295...
-    2   RGI60-15.03412  ...  POLYGON ((86.85344 27.94752, 86.85340 27.94752...
-    3   RGI60-15.03413  ...  POLYGON ((86.84776 27.94845, 86.84776 27.94849...
-    4   RGI60-15.03414  ...  POLYGON ((86.84567 27.96906, 86.84567 27.96910...
-    ..             ...  ...                                                ...
-    81  RGI60-15.10070  ...  POLYGON ((86.94112 28.11455, 86.94129 28.11452...
-    82  RGI60-15.10075  ...  POLYGON ((86.95861 28.04669, 86.95847 28.04701...
-    83  RGI60-15.10077  ...  POLYGON ((86.96454 28.07843, 86.96445 28.07814...
-    84  RGI60-15.10078  ...  POLYGON ((86.96302 28.04915, 86.96304 28.04920...
-    85  RGI60-15.10079  ...  POLYGON ((86.97074 28.09496, 86.97039 28.09488...
-
-    [86 rows x 23 columns]
-
-
-
-
-.. GENERATED FROM PYTHON SOURCE LINES 22-23
-
-A plot:
-
-.. GENERATED FROM PYTHON SOURCE LINES 23-26
-
-.. code-block:: default
-
-    for _, glacier in glaciers.ds.iterrows():
-        plt.plot(*glacier.geometry.exterior.xy)
-    plt.show()
-
-
-
-.. image-sg:: /io_examples/images/sphx_glr_read_vector_001.png
-   :alt: read vector
-   :srcset: /io_examples/images/sphx_glr_read_vector_001.png
-   :class: sphx-glr-single-img
-
-
-
-
-
-
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** ( 0 minutes  0.110 seconds)
-
-
-.. _sphx_glr_download_io_examples_read_vector.py:
-
-.. only:: html
-
-  .. container:: sphx-glr-footer sphx-glr-footer-example
-
-
-    .. container:: sphx-glr-download sphx-glr-download-python
-
-      :download:`Download Python source code: read_vector.py <read_vector.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: read_vector.ipynb <read_vector.ipynb>`
-
-
-.. only:: html
-
- .. rst-class:: sphx-glr-signature
-
-    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_
diff --git a/doc/source/io_examples/read_vector_codeobj.pickle b/doc/source/io_examples/read_vector_codeobj.pickle
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diff --git a/doc/source/io_examples/searchindex.dir b/doc/source/io_examples/searchindex.dir
deleted file mode 100644
index 38a7775ad..000000000
--- a/doc/source/io_examples/searchindex.dir
+++ /dev/null
@@ -1,3 +0,0 @@
-'/home/atom/code/devel/libs/geoutils/doc/build/index.html', (0, 35132)
-'/home/atom/code/devel/libs/geoutils/doc/build/_static/documentation_options.js', (35328, 440)
-'/home/atom/code/devel/libs/geoutils/doc/build/searchindex.js', (35840, 48486)
diff --git a/doc/source/io_examples/sg_execution_times.rst b/doc/source/io_examples/sg_execution_times.rst
deleted file mode 100644
index a4b8c23f7..000000000
--- a/doc/source/io_examples/sg_execution_times.rst
+++ /dev/null
@@ -1,16 +0,0 @@
-
-:orphan:
-
-.. _sphx_glr_io_examples_sg_execution_times:
-
-Computation times
-=================
-**00:00.104** total execution time for **io_examples** files:
-
-+-----------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_io_examples_read_raster.py` (``read_raster.py``) | 00:00.104 | 0.0 MB |
-+-----------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_io_examples_read_satimg.py` (``read_satimg.py``) | 00:00.000 | 0.0 MB |
-+-----------------------------------------------------------------+-----------+--------+
-| :ref:`sphx_glr_io_examples_read_vector.py` (``read_vector.py``) | 00:00.000 | 0.0 MB |
-+-----------------------------------------------------------------+-----------+--------+
diff --git a/examples/io/from_array.py b/examples/io/from_array.py
new file mode 100644
index 000000000..2445b758d
--- /dev/null
+++ b/examples/io/from_array.py
@@ -0,0 +1,56 @@
+"""
+Creating a raster from array
+============================
+
+This example demonstrates the creation of a raster through :func:`~geoutils.Raster.from_array`.
+"""
+
+# %%
+# We create a data array as :class:`~numpy.ndarray`, a transform as :class:`affine.Affine` and a coordinate reference system (CRS) as :class:`pyproj.CRS`.
+import geoutils as gu
+import rasterio as rio
+import pyproj
+import numpy as np
+
+# A random 3 x 3 masked array
+np.random.seed(42)
+arr = np.random.randint(0, 255, size=(3, 3), dtype="float32")
+# A transform with 3 x 3 pixels in a [0-1, 0-1] bound square
+transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3)
+# A CRS, here geographic (latitude/longitude)
+crs = pyproj.CRS.from_epsg(4326)
+
+# Create a raster
+rast = gu.Raster.from_array(
+        data = arr,
+        transform = transform,
+        crs = crs,
+        nodata = 255
+    )
+rast
+
+# %%
+# We can print info on the raster.
+print(rast.info())
+
+# %%
+# The array has been automatically cast into a :class:`~numpy.ma.MaskedArray`, to respect :class:`~geoutils.Raster.nodata` values.
+
+# %%
+# We could also have created directly from a :class:`~numpy.ma.MaskedArray`.
+
+# A random mask, that will mask one out of two values on average
+mask = np.random.randint(0, 2, size=(3, 3), dtype="bool")
+ma = np.ma.masked_array(data=arr, mask=mask)
+
+rast = gu.Raster.from_array(
+        data = arr,
+        transform = transform,
+        crs = crs,
+        nodata = 255
+    )
+rast
+
+# %%
+# The different functionalities of GeoUtils will respect :class:`~geoutils.Raster.nodata` values, starting with :func:`~geoutils.Raster.show`.
+rast.show(cmap="Greys_r")
diff --git a/examples/io/read_raster.py b/examples/io/read_raster.py
index fc4eb2890..d4299ab5a 100644
--- a/examples/io/read_raster.py
+++ b/examples/io/read_raster.py
@@ -2,31 +2,31 @@
 Opening a raster from file
 ==========================
 
-This example demonstrates the instantiation of a :class:`~geoutils.Raster` from file.
+This example demonstrates the instantiation of a raster through :class:`~geoutils.Raster`.
 """
 
-import geoutils as gu
-
 # %%
 # We open an example raster. The data is, by default, unloaded.
-img = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
-img
+import geoutils as gu
+rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+rast
 
 # %%
 # We can print more info on the raster.
-print(img.info())
+print(rast.info())
 
 # %%
 # The data will be loaded explicitly by any function requiring its :attr:`~geoutils.Raster.data`, such as :func:`~geoutils.Raster.show`.
-img.show(cmap="Greys_r")
+rast.show(cmap="Greys_r")
 
 # %%
-# Opening can be performed with several parameters, for instance choosing a single band with ``index`` and re-sampling with ``downsample``.
-img = gu.Raster(gu.examples.get_path("everest_landsat_rgb"), indexes=2, downsample=4)
-img
+# Opening can be performed with several parameters, for instance choosing a single band with ``index`` and re-sampling with ``downsample``, to subset a 3-band
+# raster to its second band, and using 1 pixel out of 4.
+rast = gu.Raster(gu.examples.get_path("everest_landsat_rgb"), indexes=2, downsample=4)
+rast
 
 # %%
-# The data is unloaded by default, even if when specifying a band or re-sampling.
-# We can load it explicitly by calling :func:`~geoutils.Raster.load` (could have also passed `load_data=True` to # :class:`~geoutils.Raster`).
-img.load()
-img
+# The data is not loaded by default, even if when specifying a band or re-sampling.
+# We can load it explicitly by calling :func:`~geoutils.Raster.load` (could have also passed ``load_data=True`` to :class:`~geoutils.Raster`).
+rast.load()
+rast
diff --git a/examples/io/read_vector.py b/examples/io/read_vector.py
index a3282839e..bf88be7fa 100644
--- a/examples/io/read_vector.py
+++ b/examples/io/read_vector.py
@@ -1,25 +1,24 @@
 """
-Loading and understanding Vectors
-=================================
+Opening a vector from file
+==========================
 
-This is (right now) a dummy example for showing the functionality of :class:`geoutils.Vector`.
+This example demonstrates the instantiation of a vector through :class:`geoutils.Vector`.
 """
 
-import matplotlib.pyplot as plt
-
 import geoutils as gu
 
 # %%
-# Example raster:
-glaciers = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+# We open an example vector.
+vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+vect
 
 # %%
-# Info:
-print(glaciers)
-
+# We can print more info on the vector.
+print(vect)
 
 # %%
-# A plot:
-for _, glacier in glaciers.ds.iterrows():
+# Let's plot:
+import matplotlib.pyplot as plt
+for _, glacier in vect.ds.iterrows():
     plt.plot(*glacier.geometry.exterior.xy)
 plt.show()
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index d587d6e92..1f9acbcab 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -626,7 +626,7 @@ def __repr__(self) -> str:
 
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
-            str_data = "not_loaded"
+            str_data = "not_loaded; shape on disk "+str(self._disk_shape)
         else:
             str_data = "\n       ".join(self.data.__str__().split("\n"))
 
@@ -649,7 +649,7 @@ def _repr_html_(self) -> str:
 
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
-            str_data = "<i>not_loaded</i>"
+            str_data = "<i>not_loaded; shape on disk "+str(self._disk_shape)+"</i>"
         else:
             str_data = "\n       ".join(self.data.__str__().split("\n"))
 

From bc957b64b98c124ac6a88284120855b8d865cd7f Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 20 Feb 2023 22:02:59 -0800
Subject: [PATCH 037/184] Merge and add new gallery folders to gitignore

---
 examples/io/from_array.py | 13 ++++++++-----
 1 file changed, 8 insertions(+), 5 deletions(-)

diff --git a/examples/io/from_array.py b/examples/io/from_array.py
index 2445b758d..640f200ce 100644
--- a/examples/io/from_array.py
+++ b/examples/io/from_array.py
@@ -14,7 +14,7 @@
 
 # A random 3 x 3 masked array
 np.random.seed(42)
-arr = np.random.randint(0, 255, size=(3, 3), dtype="float32")
+arr = np.random.normal(size=(5, 5))
 # A transform with 3 x 3 pixels in a [0-1, 0-1] bound square
 transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3)
 # A CRS, here geographic (latitude/longitude)
@@ -35,16 +35,18 @@
 
 # %%
 # The array has been automatically cast into a :class:`~numpy.ma.MaskedArray`, to respect :class:`~geoutils.Raster.nodata` values.
+rast.data
 
 # %%
 # We could also have created directly from a :class:`~numpy.ma.MaskedArray`.
 
 # A random mask, that will mask one out of two values on average
-mask = np.random.randint(0, 2, size=(3, 3), dtype="bool")
+mask = np.random.randint(0, 2, size=(5, 5), dtype="bool")
 ma = np.ma.masked_array(data=arr, mask=mask)
 
+# This time, we pass directly the masked array
 rast = gu.Raster.from_array(
-        data = arr,
+        data = ma,
         transform = transform,
         crs = crs,
         nodata = 255
@@ -52,5 +54,6 @@
 rast
 
 # %%
-# The different functionalities of GeoUtils will respect :class:`~geoutils.Raster.nodata` values, starting with :func:`~geoutils.Raster.show`.
-rast.show(cmap="Greys_r")
+# The different functionalities of GeoUtils will respect :class:`~geoutils.Raster.nodata` values, starting with :func:`~geoutils.Raster.show`,
+# which will ignore them during plotting (transparent).
+rast.show(cmap="copper")

From 65a6ce44db4806b3b9b82d77870288f4b4e6bc48 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 21 Feb 2023 00:53:21 -0800
Subject: [PATCH 038/184] Incremental commit on example gallery

---
 doc/source/conf.py                    |  2 +-
 examples/analysis/README.rst          |  2 +-
 examples/analysis/buffer_voronoi.py   | 35 ++++++++++++++++
 examples/analysis/proximity_metric.py | 47 +++++++++++++++++++++
 examples/handling/README.rst          |  2 +-
 examples/handling/crop_raster.py      | 52 +++++++++++++++++++++++
 examples/handling/warp_raster.py      | 60 +++++++++++++++++++++++++++
 examples/io/README.rst                |  2 +-
 examples/io/read_satimg.py            | 23 +++++-----
 geoutils/geovector.py                 | 19 +++++++++
 10 files changed, 228 insertions(+), 16 deletions(-)
 create mode 100644 examples/analysis/buffer_voronoi.py
 create mode 100644 examples/analysis/proximity_metric.py
 create mode 100644 examples/handling/crop_raster.py
 create mode 100644 examples/handling/warp_raster.py

diff --git a/doc/source/conf.py b/doc/source/conf.py
index b7336b425..cd36ad1a1 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -116,7 +116,7 @@
 
 html_theme_options = {
     "use_sidenotes": True,
-    "repository_url": "https://github.com/GlacioHack/xdem",
+    "repository_url": "https://github.com/GlacioHack/geoutils",
     "use_repository_button": True,
 }
 
diff --git a/examples/analysis/README.rst b/examples/analysis/README.rst
index 000bd8622..6744125b5 100644
--- a/examples/analysis/README.rst
+++ b/examples/analysis/README.rst
@@ -1,5 +1,5 @@
 Analysis
 ========
 
-Examples about numerical operations on rasters, computing proximity and buffer without overlap.
+Examples about numerical operations on rasters, and additional features such as proximity and buffer without overlap.
 
diff --git a/examples/analysis/buffer_voronoi.py b/examples/analysis/buffer_voronoi.py
new file mode 100644
index 000000000..4f2442f3f
--- /dev/null
+++ b/examples/analysis/buffer_voronoi.py
@@ -0,0 +1,35 @@
+"""
+Metric buffer and without overlap
+=================================
+
+This example demonstrates the metric buffering of a vector using :class:`~geoutils.Vector.buffer_metric`.
+"""
+# sphinx_gallery_thumbnail_number = 3
+# %%
+# We open an example vector
+import geoutils as gu
+vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+
+# %%
+# We buffer in metric units directly using :func:`~geoutils.Vector.buffer_metric`. Under the hood, this functionality reprojects to a local projection,
+# buffers, and converts back to the original CRS.
+vect_buff = vect.buffer_metric(buffer_size=500)
+
+# %%
+# Let's plot the raster and vector
+ax = vect.ds.plot()
+vect_buff.ds.plot(ax=ax, ec='k', fc='none')
+
+# %%
+# Many buffers are overlapping. To compute a buffer without overlap, one can use :func:`~geoutils.Vector.buffer_without_overlap`.
+#
+vect_buff_nolap = vect.buffer_without_overlap(buffer_size=500)
+ax = vect_buff_nolap.ds.plot()
+vect.ds.plot(ax=ax, ec='k', fc='none')
+
+# %%
+# We plot with color to see that the attributes are retained for every feature.
+import matplotlib.pyplot as plt
+ax = vect_buff_nolap.ds.plot(column="RGIId")
+vect.ds.plot(ax=ax, ec='k', column="RGIId", alpha=0.5)
+plt.show()
\ No newline at end of file
diff --git a/examples/analysis/proximity_metric.py b/examples/analysis/proximity_metric.py
new file mode 100644
index 000000000..4d54bcf9d
--- /dev/null
+++ b/examples/analysis/proximity_metric.py
@@ -0,0 +1,47 @@
+"""
+Proximity to raster or vector
+=============================
+
+This example demonstrates the calculation of proximity distances to a raster or vector using :class:`~geoutils.Raster.proximity`.
+"""
+# sphinx_gallery_thumbnail_number = 2
+# %%
+# We open an example raster, and a vector for which we select a single feature
+import geoutils as gu
+rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+vect = gu.Vector(vect.ds[vect.ds["RGIId"] == "RGI60-15.10055"])
+rast.crop(vect)
+
+# Plot the raster and vector
+import matplotlib.pyplot as plt
+ax = plt.gca()
+rast.show(ax=ax, cmap="Blues")
+vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='k', lw=2)
+
+# %%
+# We use the raster as a reference to match for rasterizing the proximity distances with :func:`~geoutils.Vector.proximity`. See :ref:`core-match-ref` for more details.
+
+proximity = vect.proximity(rast)
+proximity.show(cmap="viridis")
+
+# %%
+# Proximity can also be computed to target pixels of a raster, or that of a mask
+
+# Get mask of pixels within 30 of 200 infrared
+import numpy as np
+mask_200 = np.abs(rast - 200) < 30
+mask_200.show()
+
+# %%
+# Because a mask is :class:`bool`, no need to pass target pixels
+
+proximity_mask = mask_200.proximity()
+proximity_mask.show(cmap="viridis")
+
+# %%
+# By default, proximity is computed using the georeference unit from a :class:`~geoutils.Raster`'s :attr:`~geoutils.Raster.res`, here **meters**. It can also
+# be computed in pixels.
+
+proximity_mask = mask_200.proximity(distance_unit='pixel')
+proximity_mask.show(cmap="viridis")
diff --git a/examples/handling/README.rst b/examples/handling/README.rst
index c8e11e62e..fe929f99d 100644
--- a/examples/handling/README.rst
+++ b/examples/handling/README.rst
@@ -1,4 +1,4 @@
 Handling
 ========
 
-Examples about warping, reprojecting, resampling cropping, as well as rasterizing and polygonizing of georeferenced data.
+Examples about **warping**, **reprojecting**, **resampling**, **cropping**, as well as **rasterizing** and **polygonizing** of georeferenced data.
diff --git a/examples/handling/crop_raster.py b/examples/handling/crop_raster.py
new file mode 100644
index 000000000..e607b2758
--- /dev/null
+++ b/examples/handling/crop_raster.py
@@ -0,0 +1,52 @@
+"""
+Crop a raster
+=============
+
+This example demonstrates the cropping of a raster using :class:`~geoutils.Raster.crop`.
+"""
+# sphinx_gallery_thumbnail_number = 2
+# %%
+# We open two example rasters.
+import geoutils as gu
+rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+vect = gu.Vector(vect.ds[vect.ds["RGIId"] == "RGI60-15.10055"])
+
+# %%
+# The first raster has larger extent and higher resolution than the second one
+print(rast.info())
+print(vect.bounds)
+
+# %%
+# Let's plot the raster and vector
+import matplotlib.pyplot as plt
+ax = plt.gca()
+rast.show(ax=ax, cmap="Purples")
+vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='k', lw=2)
+
+# %%
+# **First option:** using the second raster as a reference to match, we reproject the first one. We simply have to pass the second :class:`~geoutils.Raster`
+# as single argument to :func:`~geoutils.Raster.crop`. See :ref:`core-match-ref` for more details.
+
+rast.crop(vect)
+
+# %%
+# Now the bounds should be the same as that of the vector (within the size of a pixel as the grid was not warped).
+#
+# .. note::
+#      By default, :func:`~geoutils.Raster.crop` is done in-place, replacing ``rast``. This behaviour can be modified by passing ``inplace=False``.
+#
+
+ax = plt.gca()
+rast.show(ax=ax, cmap="Purples")
+vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='k', lw=2)
+
+# %%
+# **Second option:** we can pass other ``crop_geom`` argument to :func:`~geoutils.Raster.crop`, including another :class:`~geoutils.Raster` or a
+# simple :class:`tuple` of bounds.
+
+rast.crop((rast.bounds.left + 1000, rast.bounds.bottom, rast.bounds.right, rast.bounds.top - 500))
+
+ax = plt.gca()
+rast.show(ax=ax, cmap="Purples")
+vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='k', lw=2)
diff --git a/examples/handling/warp_raster.py b/examples/handling/warp_raster.py
new file mode 100644
index 000000000..955ce0a31
--- /dev/null
+++ b/examples/handling/warp_raster.py
@@ -0,0 +1,60 @@
+"""
+Warp a raster
+=============
+
+This example demonstrates the warping of a raster using :class:`~geoutils.Raster.reproject`.
+"""
+# %%
+# We open two example rasters.
+import geoutils as gu
+rast1 = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+rast2 = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
+
+# %%
+# The first raster has larger extent and higher resolution than the second one
+print(rast1.info())
+print(rast2.info())
+
+# %%
+# Let's plot the first raster, with the warped extent of the second one
+import matplotlib.pyplot as plt
+ax = plt.gca()
+rast1.show(ax=ax, cmap="Blues")
+vect_bounds_rast2 = gu.Vector.from_bounds_projected(rast2)
+vect_bounds_rast2.ds.plot(ax=ax, fc='none', ec='r', lw=2)
+
+# %%
+# **First option:** using the second raster as a reference to match, we reproject the first one. We simply have to pass the second :class:`~geoutils.Raster`
+# as single argument to :func:`~geoutils.Raster.reproject`. See :ref:`core-match-ref` for more details.
+#
+# By default, a "bilinear" resampling algorithm is used. Any string or :class:`~rasterio.enums.Resampling` can be passed.
+
+
+rast1_warped = rast1.reproject(rast2)
+rast1_warped
+
+# %%
+# .. note::
+#   Because no :attr:`geoutils.Raster.nodata` value is defined in the original image, the default value ``255`` for :class:`numpy.uint8` is used. This
+#   value is detected as already existing in the original raster, however, which raises a ``UserWarning``. If your :attr:`geoutils.Raster.nodata` is not defined,
+#   use :func:`geoutils.Raster.set_nodata`.
+#
+# Now the shape and georeferencing should be the same as that of the second raster, shown above.
+
+print(rast1_warped.info())
+
+# %%
+# We can plot the two rasters next to one another
+
+rast1_warped.show(cmap="Reds")
+rast2.show(cmap="Blues")
+
+# %%
+# **Second option:** we can pass any georeferencing argument to :func:`~geoutils.Raster.reproject`, such as ``dst_size`` and ``dst_crs``, and will only
+# deduce other parameters from the raster from which it is called (for ``dst_crs``, an EPSG code can be passed directly as :class:`int`).
+
+# Ensure the right nodata value is set
+rast2.set_nodata(0)
+# Pass the desired georeferencing parameters
+rast2_warped = rast2.reproject(dst_size=(100, 100), dst_crs=32645)
+print(rast2_warped.info())
diff --git a/examples/io/README.rst b/examples/io/README.rst
index f4b389036..0e3915f20 100644
--- a/examples/io/README.rst
+++ b/examples/io/README.rst
@@ -1,4 +1,4 @@
 Input/output
 ============
 
-Examples about opening, creating, loading or saving raster and vector data.
+Examples about **opening**, **creating**, **loading** or **saving** geospatial data.
diff --git a/examples/io/read_satimg.py b/examples/io/read_satimg.py
index 9c4d4afd2..e58421359 100644
--- a/examples/io/read_satimg.py
+++ b/examples/io/read_satimg.py
@@ -1,23 +1,22 @@
 """
-SatelliteImage class basics
-===========================
+Parsing image metadata
+======================
 
-This is (right now) a dummy example for showing the functionality of :class:`geoutils.SatelliteImage`.
+This example demonstrates the instantiation of an image through :class:`~geoutils.SatelliteImage`.
 """
-import matplotlib.pyplot as plt
 
 import geoutils as gu
 
 # %%
-# Example raster:
-img = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
+# We print the filename of our raster that, as often with satellite data, holds metadata information.
+filename = gu.examples.get_path("everest_landsat_b4")
+import os
+print(os.path.basename(filename))
 
 # %%
-# Info:
-print(img)
-
+# We open it as a geo-image, unsilencing the attribute retrieval to see the parsed data.
+img = gu.SatelliteImage(gu.examples.get_path("everest_landsat_b4"), silent=False)
 
 # %%
-# A plot:
-img.show(cmap="Greys_r")
-plt.show()
+# We have now retrieved the metadata. For the rest, the :class:`~geoutils.SatelliteImage` is a subclass of :class:`~geoutils.Raster`, and behaves similarly.
+img
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index ee247aa32..73bc91df1 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -432,6 +432,25 @@ def rasterize(
 
         return output
 
+    @classmethod
+    def from_bounds_projected(cls, raster_or_vector: gu.Raster | VectorType, out_crs: CRS | None = None, densify_pts: int = 5000) -> VectorType:
+        """Create a vector polygon from projected bounds of a raster or vector.
+
+        :param raster_or_vector: A raster or vector
+        :param out_crs: In which CRS to compute the bounds
+        :param densify_pts: Maximum points to be added between image corners to account for nonlinear edges.
+        Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
+        """
+
+        if out_crs is None:
+            out_crs = raster_or_vector.crs
+
+        poly = gu.projtools.bounds2poly(raster_or_vector, out_crs=out_crs)
+
+        df = gpd.GeoDataFrame(geometry=[poly], crs=out_crs)
+
+        return cls(df)
+
     def query(self: VectorType, expression: str, inplace: bool = False) -> VectorType:
         """
         Query the Vector dataset with a valid Pandas expression.

From 9af03dcc49f058e84195ac9904baef017093b1e3 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 21 Feb 2023 13:19:15 -0800
Subject: [PATCH 039/184] Update sphinx env method

---
 .gitignore                            |  4 +++-
 .readthedocs.yml => .readthedocs.yaml |  8 ++------
 dev-environment.yml                   |  1 -
 dev-requirements.txt                  | 24 ------------------------
 4 files changed, 5 insertions(+), 32 deletions(-)
 rename .readthedocs.yml => .readthedocs.yaml (77%)
 delete mode 100644 dev-requirements.txt

diff --git a/.gitignore b/.gitignore
index 2d09d8b18..410255d81 100644
--- a/.gitignore
+++ b/.gitignore
@@ -141,7 +141,9 @@ geoutils/version.py
 # End of https://www.gitignore.io/api/python
 .vim/
 doc/source/file.txt
-doc/source/auto_examples/
+doc/source/io_examples/
+doc/source/handling_examples/
+doc/source/analysis_examples/
 doc/source/gen_modules/
 
 # Directories where example data is downloaded
diff --git a/.readthedocs.yml b/.readthedocs.yaml
similarity index 77%
rename from .readthedocs.yml
rename to .readthedocs.yaml
index 7209d393d..91f7860ea 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yaml
@@ -13,9 +13,5 @@ sphinx:
 # Optionally build your docs in additional formats such as PDF and ePub
 formats: []
 
-python:
-  version: 3.8
-  install:
-    - requirements: dev-requirements.txt
-    - method: pip
-      path: .
+conda:
+  environment: dev-environment.yml
diff --git a/dev-environment.yml b/dev-environment.yml
index a6a27ac0c..d3e8a61e0 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -15,7 +15,6 @@ dependencies:
   - graphviz
   - jinja2<3.1
   - sphinx
-  - myst-parser
   - myst-nb
   - sphinx-autodoc-typehints
   - sphinxcontrib-programoutput
diff --git a/dev-requirements.txt b/dev-requirements.txt
deleted file mode 100644
index 3453961df..000000000
--- a/dev-requirements.txt
+++ /dev/null
@@ -1,24 +0,0 @@
-rasterio >= 1.3
-geopandas >= 0.10.0
-pyproj
-flake8
-pytest
-pytest-xdist
-pytest-lazy-fixture
-sphinx
-sphinx-book-theme
-pylint
-sphinxcontrib_programoutput
-sphinx_autodoc_typehints
-matplotlib
-myst-parser
-myst-nb
-scipy
-pre-commit
-typing-extensions
-sphinx-gallery
-scikit-image
-pyyaml
-autovizwidget
-graphviz
-jinja2 < 3.1

From bbc692191c8067bb63e13c52325a64ea8b4d69d2 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 21 Feb 2023 13:26:16 -0800
Subject: [PATCH 040/184] Add mamba to readthedocs build

---
 .readthedocs.yaml | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/.readthedocs.yaml b/.readthedocs.yaml
index 91f7860ea..5a07259f8 100644
--- a/.readthedocs.yaml
+++ b/.readthedocs.yaml
@@ -5,6 +5,11 @@
 # Required
 version: 2
 
+build:
+  os: "ubuntu-20.04"
+  tools:
+    python: "mambaforge-4.10"
+
 # Build documentation in the docs/ directory with Sphinx
 sphinx:
   configuration: doc/source/conf.py
@@ -13,5 +18,6 @@ sphinx:
 # Optionally build your docs in additional formats such as PDF and ePub
 formats: []
 
+
 conda:
   environment: dev-environment.yml

From cd7cd4f247210b458665500401f63dbdf33329eb Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 21 Feb 2023 13:36:03 -0800
Subject: [PATCH 041/184] Add self package install in dev-env

---
 dev-environment.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/dev-environment.yml b/dev-environment.yml
index d3e8a61e0..35b4f8e82 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -33,3 +33,4 @@ dependencies:
 
   - pip:
     - sphinx-book-theme
+    - -e ./

From 3c07e0ffad877edccc08fef745cbceae117f5318 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 21 Feb 2023 13:48:03 -0800
Subject: [PATCH 042/184] Incremental commit on documentation

---
 doc/source/about_geoutils.md | 4 ++--
 doc/source/index.md          | 2 +-
 doc/source/quick_start.md    | 4 +++-
 examples/analysis/README.rst | 2 +-
 4 files changed, 7 insertions(+), 5 deletions(-)

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index 52223ec4c..08f4b6010 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -5,7 +5,7 @@
 ## What is GeoUtils?
 
 GeoUtils<sup>1</sup> is a **[Python](https://www.python.org/) package for the handling and analysis of georeferenced data**, developed with the objective of 
-making geospatial analysis accessible, intuitive and robust. 
+making geospatial analysis accessible, efficient and robust. 
 
 GeoUtils is designed for all Earth and planetary observation science. It is generally **most useful for remote sensing and Earth's surface applications 
 relying on moderate- to high-resolution georeferenced data** (typically < 1 km). Applications that, for analysis, require reprojections, re-gridding, point 
@@ -26,7 +26,7 @@ We are working on making features fully consistent for the first long-term relea
 GeoUtils is built on top of [Rasterio](https://rasterio.readthedocs.io/en/latest/), [GeoPandas](https://geopandas.org/en/stable/docs.html) 
 and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) for georeferenced operations, and relies on [NumPy](https://numpy.org/doc/stable/), 
 [SciPy](https://docs.scipy.org/doc/scipy/) and [Xarray](https://docs.xarray.dev/en/stable/) for scientific computing to provide:
-- A **common and consistent framework** for rasters and vectors handling and analysis,
+- A **common and consistent framework** for efficient rasters and vectors handling and analysis,
 - A structure following the **principal of least knowledge**<sup>2</sup> to foster accessibility,
 - A **pythonic arithmetic** and **NumPy interfacing** for robust numerical computing and intuitive use.
 
diff --git a/doc/source/index.md b/doc/source/index.md
index dc53edabe..17ff5fa27 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -6,7 +6,7 @@
 # Welcome to GeoUtils' documentation!
 
 ```{epigraph}
-GeoUtils is an **accessible**, **intuitive** and **robust** package to quickly handle and analyze geospatial data.
+GeoUtils is an **accessible**, **efficient** and **robust** package to handle and analyze geospatial data.
 ```
 
 ```{important}
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index 5d2845147..cb90edd17 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -33,6 +33,7 @@ an {class}`~affine.Affine` as `.transform`, and a {class}`float` or {class}`int`
 linked to a {class}`rasterio.io.DatasetReader` object for loading the metadata, and the array at the appropriate time.
 
 ```{code-cell} ipython3
+:tags: [hide-output]
 # The opened raster
 rast
 ```
@@ -41,6 +42,7 @@ A {class}`~geoutils.Vector` is a composition class with a single main attribute:
 wrapped directly into {class}`~geoutils.Vector`. 
 
 ```{code-cell} ipython3
+:tags: [hide-output]
 # The opened vector
 vect
 ```
@@ -163,7 +165,7 @@ For saving, {func}`~geoutils.Raster.save` is used.
 import matplotlib.pyplot as plt
 fig = plt.figure()
 ax = plt.gca()
-rast.show(ax=ax, cmap='Reds', cb_title='Normalized infrared')
+rast.show(ax=ax, cmap='Reds', cbar_title='Normalized infrared')
 vect_aoi.ds.plot(ax=ax, fc='none', ec='k', lw=0.5)
 ```
 
diff --git a/examples/analysis/README.rst b/examples/analysis/README.rst
index 6744125b5..21afb9266 100644
--- a/examples/analysis/README.rst
+++ b/examples/analysis/README.rst
@@ -1,5 +1,5 @@
 Analysis
 ========
 
-Examples about numerical operations on rasters, and additional features such as proximity and buffer without overlap.
+Examples about **numerical operations** on rasters, and **additional features** such as **proximity** or **buffer without overlap** (Voronoi polygons).
 

From f1b75b7b43843b9ee75f21b1ca0627fa360581a3 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 21 Feb 2023 19:20:51 -0800
Subject: [PATCH 043/184] Add logo to documentation

---
 doc/source/_static/logo_only_v3.svg | 201 ++++++++++++++++++++++++++
 doc/source/_static/logo_v3_2.svg    | 213 ++++++++++++++++++++++++++++
 doc/source/conf.py                  |   5 +-
 doc/source/index.md                 |  27 +++-
 4 files changed, 438 insertions(+), 8 deletions(-)
 create mode 100644 doc/source/_static/logo_only_v3.svg
 create mode 100644 doc/source/_static/logo_v3_2.svg

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new file mode 100644
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+        </g>
+      </g>
+    </g>
+  </g>
+</svg>
diff --git a/doc/source/conf.py b/doc/source/conf.py
index cd36ad1a1..d6714a807 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -113,15 +113,18 @@
 # a list of builtin themes.
 #
 html_theme = "sphinx_book_theme"
+html_favicon = "_static/logo_only_v3.svg"
+html_logo = "_static/logo_v3_2.svg"
+html_title = "GeoUtils"
 
 html_theme_options = {
     "use_sidenotes": True,
     "repository_url": "https://github.com/GlacioHack/geoutils",
     "use_repository_button": True,
+    "logo_only": True,
 }
 
 # html_logo = "path/to/myimage.png"
-html_title = "GeoUtils"
 
 html_static_path = ['_static']
 
diff --git a/doc/source/index.md b/doc/source/index.md
index 17ff5fa27..c7da63040 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -1,13 +1,26 @@
-% GeoUtils documentation master file, created by
-% sphinx-quickstart on Fri Nov 13 17:43:16 2020.
-% You can adapt this file completely to your liking, but it should at least
-% contain the root 'toctree' directive.
+---
+title: GeoUtils
+---
 
-# Welcome to GeoUtils' documentation!
+::::{grid}
+:reverse:
+:gutter: 2 1 1 1
+:margin: 4 4 1 1
 
-```{epigraph}
-GeoUtils is an **accessible**, **efficient** and **robust** package to handle and analyze geospatial data.
+:::{grid-item}
+:columns: 4
+
+```{image} ./_static/logo_only_v3.svg
+:width: 150px
 ```
+:::
+
+:::{grid-item}
+:columns: 8
+:class: sd-fs-3
+
+GeoUtils is an **accessible**, **efficient** and **robust** package to handle and analyze geospatial data.
+:::
 
 ```{important}
 :class: margin

From 15fb4757e97e10ffd0e45b92888609a5a1d75182 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 22 Feb 2023 15:33:02 -0800
Subject: [PATCH 044/184] Incremental commit on doc

---
 dev-environment.yml                           |   1 +
 doc/source/_static/logo_only_v3.svg           | 134 +++++++++++++++--
 .../_static/{logo_v3_2.svg => logo_v3.svg}    | 140 ++++++++++++++++--
 doc/source/api.md                             |   2 +-
 doc/source/conf.py                            |   6 +-
 doc/source/core_lazy_load.md                  |   2 +-
 doc/source/index.md                           |  56 ++++++-
 examples/analysis/README.rst                  |   3 +
 examples/analysis/array_numerics/README.rst   |   2 +
 examples/analysis/geospatial/README.rst       |   2 +
 .../{ => geospatial}/buffer_voronoi.py        |   0
 .../{ => geospatial}/proximity_metric.py      |   0
 examples/analysis/point_estimation/README.rst |   2 +
 examples/handling/README.rst                  |   2 +
 examples/handling/georeferencing/README.rst   |   2 +
 .../{ => georeferencing}/crop_raster.py       |   8 +-
 .../handling/georeferencing/crop_vector.py    |  57 +++++++
 .../reproj_raster.py}                         |  10 +-
 .../handling/georeferencing/reproj_vector.py  |  43 ++++++
 examples/handling/interface/README.rst        |   2 +
 examples/handling/interface/create_mask.py    |  46 ++++++
 examples/handling/interface/polygonize.py     |  39 +++++
 examples/handling/interface/rasterize.py      |  57 +++++++
 examples/handling/interface/topoints.py       |  21 +++
 examples/io/README.rst                        |   2 +
 examples/io/import_export/README.rst          |   2 +
 examples/io/{ => import_export}/from_array.py |   0
 examples/io/import_export/import_raster.py    |  36 +++++
 examples/io/import_export/import_vector.py    |  21 +++
 examples/io/open_save/README.rst              |   2 +
 examples/io/{ => open_save}/read_raster.py    |   4 +-
 examples/io/{ => open_save}/read_satimg.py    |   4 +-
 examples/io/{ => open_save}/read_vector.py    |   4 +-
 geoutils/georaster/raster.py                  |   5 +-
 geoutils/geovector.py                         |  13 +-
 35 files changed, 680 insertions(+), 50 deletions(-)
 rename doc/source/_static/{logo_v3_2.svg => logo_v3.svg} (99%)
 create mode 100644 examples/analysis/array_numerics/README.rst
 create mode 100644 examples/analysis/geospatial/README.rst
 rename examples/analysis/{ => geospatial}/buffer_voronoi.py (100%)
 rename examples/analysis/{ => geospatial}/proximity_metric.py (100%)
 create mode 100644 examples/analysis/point_estimation/README.rst
 create mode 100644 examples/handling/georeferencing/README.rst
 rename examples/handling/{ => georeferencing}/crop_raster.py (89%)
 create mode 100644 examples/handling/georeferencing/crop_vector.py
 rename examples/handling/{warp_raster.py => georeferencing/reproj_raster.py} (93%)
 create mode 100644 examples/handling/georeferencing/reproj_vector.py
 create mode 100644 examples/handling/interface/README.rst
 create mode 100644 examples/handling/interface/create_mask.py
 create mode 100644 examples/handling/interface/polygonize.py
 create mode 100644 examples/handling/interface/rasterize.py
 create mode 100644 examples/handling/interface/topoints.py
 create mode 100644 examples/io/import_export/README.rst
 rename examples/io/{ => import_export}/from_array.py (100%)
 create mode 100644 examples/io/import_export/import_raster.py
 create mode 100644 examples/io/import_export/import_vector.py
 create mode 100644 examples/io/open_save/README.rst
 rename examples/io/{ => open_save}/read_raster.py (95%)
 rename examples/io/{ => open_save}/read_satimg.py (93%)
 rename examples/io/{ => open_save}/read_vector.py (88%)

diff --git a/dev-environment.yml b/dev-environment.yml
index 35b4f8e82..59b1c345d 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -32,5 +32,6 @@ dependencies:
   - rioxarray
 
   - pip:
+    - sphinx-design
     - sphinx-book-theme
     - -e ./
diff --git a/doc/source/_static/logo_only_v3.svg b/doc/source/_static/logo_only_v3.svg
index f82cc2b30..a6dd0a730 100644
--- a/doc/source/_static/logo_only_v3.svg
+++ b/doc/source/_static/logo_only_v3.svg
@@ -4,9 +4,9 @@
 <svg
    version="1.1"
    id="svg2"
-   width="68.313942"
+   width="75.909248"
    height="74.909416"
-   viewBox="0 0 68.313945 74.909416"
+   viewBox="0 0 75.909251 74.909416"
    sodipodi:docname="logo_only_v3.svg"
    inkscape:version="1.2.2 (b0a8486541, 2022-12-01)"
    xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
@@ -84,7 +84,7 @@
   </defs>
   <sodipodi:namedview
      id="namedview4"
-     pagecolor="#000000"
+     pagecolor="#7d7d7d"
      bordercolor="#000000"
      borderopacity="0"
      inkscape:showpageshadow="2"
@@ -92,9 +92,9 @@
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      inkscape:deskcolor="#dcdcdc"
      showgrid="false"
-     inkscape:zoom="11.313708"
-     inkscape:cx="41.763495"
-     inkscape:cy="39.111844"
+     inkscape:zoom="5.2404505"
+     inkscape:cx="126.9929"
+     inkscape:cy="6.2017569"
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      inkscape:window-height="1371"
      inkscape:window-x="1972"
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diff --git a/doc/source/api.md b/doc/source/api.md
index cf9f2c234..459281cda 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -1,7 +1,7 @@
 (api)=
 # API reference
 
-This page provides an auto-generated summary of GeoUtils’s API. 
+This page provides an auto-generated summary of GeoUtils’ API. 
 For more details and examples, refer to the relevant chapters in the main part of the 
 documentation.
 
diff --git a/doc/source/conf.py b/doc/source/conf.py
index d6714a807..eb0c9675b 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -32,6 +32,7 @@
     "sphinx.ext.autosummary",  # Create API doc summary texts from the docstrings.
     "sphinx.ext.inheritance_diagram",  # For class inheritance diagrams.
     "sphinx.ext.graphviz", # To render graphviz diagrams.
+    "sphinx_design", # To render nice blocks
     "sphinx_autodoc_typehints",  # Include type hints in the API documentation.
     "sphinxcontrib.programoutput",
     "sphinx_gallery.gen_gallery",  # Examples gallery
@@ -40,6 +41,9 @@
     "myst_nb" # MySt for rendering Jupyter notebook in documentation
 ]
 
+# For sphinx design to work properly
+myst_enable_extensions = ["colon_fence"]
+
 nb_kernel_rgx_aliases = {".*geoutils.*": "python3"}
 
 intersphinx_mapping = {
@@ -114,7 +118,7 @@
 #
 html_theme = "sphinx_book_theme"
 html_favicon = "_static/logo_only_v3.svg"
-html_logo = "_static/logo_v3_2.svg"
+html_logo = "_static/logo_v3.svg"
 html_title = "GeoUtils"
 
 html_theme_options = {
diff --git a/doc/source/core_lazy_load.md b/doc/source/core_lazy_load.md
index 28182e1cb..2e38ded41 100644
--- a/doc/source/core_lazy_load.md
+++ b/doc/source/core_lazy_load.md
@@ -65,7 +65,7 @@ package!
 ```
 
 Some georeferencing operations be done without loading the entire array Right now, relying directly on Rasterio, GeoUtils supports optimized subsetting 
-through the {func}`~geoutils.Raster.`crop` method.
+through the {func}`~geoutils.Raster.crop` method.
 
 ```{code-cell} ipython3
 # The previously cropped Raster was loaded without accessing the entire array
diff --git a/doc/source/index.md b/doc/source/index.md
index c7da63040..34f37bb0b 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -11,7 +11,7 @@ title: GeoUtils
 :columns: 4
 
 ```{image} ./_static/logo_only_v3.svg
-:width: 150px
+:width: 300px
 ```
 :::
 
@@ -19,9 +19,60 @@ title: GeoUtils
 :columns: 8
 :class: sd-fs-3
 
-GeoUtils is an **accessible**, **efficient** and **robust** package to handle and analyze geospatial data.
+GeoUtils is an **accessible**, **efficient** and **reliable** package to analyze geospatial data.
+::::
+
+**Accessible** owing to its convenient object-based structure, intuitive match-reference operations and familiar geospatial dependencies 
+([Rasterio](https://rasterio.readthedocs.io/en/latest/), [Rioxarray](https://corteva.github.io/rioxarray/stable/), 
+[GeoPandas](https://geopandas.org/en/stable/docs.html), [PyProj](https://pyproj4.github.io/pyproj/stable/index.html)).
+
+**Efficient** owing to its implicit lazy loading functionalities, logical integration with pythonic operators and array interfacing 
+([NumPy](https://numpy.org/doc/stable/), [SciPy](https://docs.scipy.org/doc/scipy/) and [Xarray](https://docs.xarray.dev/en/stable/)).
+
+**Reliable** owing to its consistent higher-level operations respecting geospatial intricacies such as nodata values and pixel interpretation, ensured by 
+its testing suite and type checking ([Pytest](https://docs.pytest.org/en/7.2.x/), [Mypy](https://mypy-lang.org/)).
+
+# Where to start?
+
+----------------
+
+::::{grid} 1 2 2 3
+:gutter: 1 1 1 2
+
+:::{grid-item-card} {material-regular}`edit_note;2em` About GeoUtils
+:link: about_geoutils
+:link-type: ref
+
+Learn more about why we developed GeoUtils.
+
++++
+[Learn more »](about_geoutils)
 :::
 
+:::{grid-item-card} {material-regular}`data_exploration;2em` Quick start
+:link: quick_start
+:link-type: ref
+ 
+Run through a short example of the package functionalities.
+
++++
+[Learn more »](quick_start)
+:::
+
+:::{grid-item-card} {material-regular}`preview;2em` Features
+:link: core_index
+:link-type: ref
+
+Dive into the full documentation.
+
++++
+[Learn more »](core_index)
+:::
+
+::::
+
+----------------
+
 ```{important}
 :class: margin
 GeoUtils is in early stages of development and its features might evolve rapidly. Note the version you are working on for
@@ -29,6 +80,7 @@ GeoUtils is in early stages of development and its features might evolve rapidly
 We are working on making features fully consistent for the first long-term release ``v0.1`` (likely sometime in 2023).
 ```
 
+# Table of contents
 
 ```{toctree}
 :caption: Getting started
diff --git a/examples/analysis/README.rst b/examples/analysis/README.rst
index 21afb9266..67dff9231 100644
--- a/examples/analysis/README.rst
+++ b/examples/analysis/README.rst
@@ -3,3 +3,6 @@ Analysis
 
 Examples about **numerical operations** on rasters, and **additional features** such as **proximity** or **buffer without overlap** (Voronoi polygons).
 
+Some examples rely on NumPy or pythonic operators on :class:`Rasters<geoutils.Raster>` (see :ref:`core-py-ops` and :ref:`core-array-funcs`).
+
+Others also benefit from match-reference (see :ref:`core-match-ref`).
\ No newline at end of file
diff --git a/examples/analysis/array_numerics/README.rst b/examples/analysis/array_numerics/README.rst
new file mode 100644
index 000000000..7ab702432
--- /dev/null
+++ b/examples/analysis/array_numerics/README.rst
@@ -0,0 +1,2 @@
+Raster numerics
+---------------
\ No newline at end of file
diff --git a/examples/analysis/geospatial/README.rst b/examples/analysis/geospatial/README.rst
new file mode 100644
index 000000000..51e73b398
--- /dev/null
+++ b/examples/analysis/geospatial/README.rst
@@ -0,0 +1,2 @@
+Distance estimation
+-------------------
\ No newline at end of file
diff --git a/examples/analysis/buffer_voronoi.py b/examples/analysis/geospatial/buffer_voronoi.py
similarity index 100%
rename from examples/analysis/buffer_voronoi.py
rename to examples/analysis/geospatial/buffer_voronoi.py
diff --git a/examples/analysis/proximity_metric.py b/examples/analysis/geospatial/proximity_metric.py
similarity index 100%
rename from examples/analysis/proximity_metric.py
rename to examples/analysis/geospatial/proximity_metric.py
diff --git a/examples/analysis/point_estimation/README.rst b/examples/analysis/point_estimation/README.rst
new file mode 100644
index 000000000..47288d7ca
--- /dev/null
+++ b/examples/analysis/point_estimation/README.rst
@@ -0,0 +1,2 @@
+Point estimation
+----------------
\ No newline at end of file
diff --git a/examples/handling/README.rst b/examples/handling/README.rst
index fe929f99d..957209c13 100644
--- a/examples/handling/README.rst
+++ b/examples/handling/README.rst
@@ -2,3 +2,5 @@ Handling
 ========
 
 Examples about **warping**, **reprojecting**, **resampling**, **cropping**, as well as **rasterizing** and **polygonizing** of georeferenced data.
+
+All of these methods support simply passing a reference to match (see :ref:`core-match-ref`).
\ No newline at end of file
diff --git a/examples/handling/georeferencing/README.rst b/examples/handling/georeferencing/README.rst
new file mode 100644
index 000000000..9ab18adb8
--- /dev/null
+++ b/examples/handling/georeferencing/README.rst
@@ -0,0 +1,2 @@
+Geo-transformations
+-------------------
\ No newline at end of file
diff --git a/examples/handling/crop_raster.py b/examples/handling/georeferencing/crop_raster.py
similarity index 89%
rename from examples/handling/crop_raster.py
rename to examples/handling/georeferencing/crop_raster.py
index e607b2758..0c0e9831a 100644
--- a/examples/handling/crop_raster.py
+++ b/examples/handling/georeferencing/crop_raster.py
@@ -2,23 +2,23 @@
 Crop a raster
 =============
 
-This example demonstrates the cropping of a raster using :class:`~geoutils.Raster.crop`.
+This example demonstrates the cropping of a raster using :func:`geoutils.Raster.crop`.
 """
 # sphinx_gallery_thumbnail_number = 2
 # %%
-# We open two example rasters.
+# We open a raster and vector, and subset the latter.
 import geoutils as gu
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
 vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
 vect = gu.Vector(vect.ds[vect.ds["RGIId"] == "RGI60-15.10055"])
 
 # %%
-# The first raster has larger extent and higher resolution than the second one
+# The first raster has larger extent and higher resolution than the second one.
 print(rast.info())
 print(vect.bounds)
 
 # %%
-# Let's plot the raster and vector
+# Let's plot the raster and vector.
 import matplotlib.pyplot as plt
 ax = plt.gca()
 rast.show(ax=ax, cmap="Purples")
diff --git a/examples/handling/georeferencing/crop_vector.py b/examples/handling/georeferencing/crop_vector.py
new file mode 100644
index 000000000..5cd355597
--- /dev/null
+++ b/examples/handling/georeferencing/crop_vector.py
@@ -0,0 +1,57 @@
+"""
+Crop a vector
+=============
+
+This example demonstrates the cropping of a vector using :func:`geoutils.Vector.crop`.
+"""
+# sphinx_gallery_thumbnail_number = 3
+# %%
+# We open a raster and vector.
+import geoutils as gu
+rast = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
+vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+
+# %%
+# Let's plot the raster and vector. The raster has smaller extent than the vector.
+import matplotlib.pyplot as plt
+ax = plt.gca()
+rast.show(ax=ax, cmap="Greys_r", alpha=0.7)
+vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='tab:purple', lw=3)
+
+# %%
+# **First option:** using the raster as a reference to match, we crop the vector. We simply have to pass the :class:`~geoutils.Raster` as single argument to
+# :func:`~geoutils.Vector.crop`. See :ref:`core-match-ref` for more details.
+
+vect.crop(rast)
+
+# %%
+# .. note::
+#      By default, :func:`~geoutils.Vector.crop` is done in-place, replacing ``vect``. This behaviour can be modified by passing ``inplace=False``.
+#
+
+ax = plt.gca()
+rast.show(ax=ax, cmap="Greys_r", alpha=0.7)
+vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='tab:purple', lw=3)
+
+# %%
+# The :func:`~geoutils.Vector.crop` keeps all features with geometries intersecting the extent to crop to. We can also force a clipping of the geometries
+# within the bounds using ``clip=True``.
+
+vect.crop(rast, clip=True)
+ax = plt.gca()
+rast.show(ax=ax, cmap="Greys_r", alpha=0.7)
+vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='tab:purple', lw=3)
+
+# %%
+# **Second option:** we can pass other ``crop_geom`` argument to :func:`~geoutils.Vector.crop`, including another :class:`~geoutils.Vector` or a
+# simple :class:`tuple` of bounds.
+
+bounds = rast.get_bounds_projected(out_crs=vect.crs)
+vect.crop(cropGeom=(bounds.left + 0.5*(bounds.right - bounds.left),
+                    bounds.bottom,
+                    bounds.right,
+                    bounds.top))
+
+ax = plt.gca()
+rast.show(ax=ax, cmap="Greys_r", alpha=0.7)
+vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='tab:purple', lw=3)
diff --git a/examples/handling/warp_raster.py b/examples/handling/georeferencing/reproj_raster.py
similarity index 93%
rename from examples/handling/warp_raster.py
rename to examples/handling/georeferencing/reproj_raster.py
index 955ce0a31..7d3472777 100644
--- a/examples/handling/warp_raster.py
+++ b/examples/handling/georeferencing/reproj_raster.py
@@ -1,8 +1,8 @@
 """
-Warp a raster
-=============
+Reproject a raster
+=================)
 
-This example demonstrates the warping of a raster using :class:`~geoutils.Raster.reproject`.
+This example demonstrates the reprojection of a raster using :func:`geoutils.Raster.reproject`.
 """
 # %%
 # We open two example rasters.
@@ -11,12 +11,12 @@
 rast2 = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
 
 # %%
-# The first raster has larger extent and higher resolution than the second one
+# The first raster has larger extent and higher resolution than the second one.
 print(rast1.info())
 print(rast2.info())
 
 # %%
-# Let's plot the first raster, with the warped extent of the second one
+# Let's plot the first raster, with the warped extent of the second one.
 import matplotlib.pyplot as plt
 ax = plt.gca()
 rast1.show(ax=ax, cmap="Blues")
diff --git a/examples/handling/georeferencing/reproj_vector.py b/examples/handling/georeferencing/reproj_vector.py
new file mode 100644
index 000000000..9823aae74
--- /dev/null
+++ b/examples/handling/georeferencing/reproj_vector.py
@@ -0,0 +1,43 @@
+"""
+Reproject a vector
+==================
+
+This example demonstrates the reprojection of a vector using :func:`geoutils.Vector.reproject`.
+"""
+# sphinx_gallery_thumbnail_number = 3
+
+# %%
+# We open a raster and vector.
+import geoutils as gu
+rast = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
+vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+
+# %%
+# The two objects are in different projections.
+print(rast.info())
+print(vect.info())
+
+# %%
+# Let's plot the two in their original projection.
+import matplotlib.pyplot as plt
+rast.show(cmap="Greys_r")
+vect.ds.plot(fc='none', ec='tab:purple', lw=3)
+
+# %%
+# **First option:** using the raster as a reference to match, we reproject the vector. We simply have to pass the :class:`~geoutils.Raster` as an argument
+# to :func:`~geoutils.Vector.reproject`. See :ref:`core-match-ref` for more details.
+
+vect_reproj = vect.reproject(rast)
+
+# %%
+# We can plot the vector in its new projection.
+
+vect_reproj.ds.plot(fc='none', ec='tab:purple', lw=3)
+
+# %%
+# **Second option:** we can pass the georeferencing argument ``dst_crs`` to :func:`~geoutils.Vector.reproject` (an EPSG code can be passed directly as
+# :class:`int`).
+
+# Reproject in UTM zone 45N
+vect_reproj = vect.reproject(dst_crs=32645)
+vect_reproj
\ No newline at end of file
diff --git a/examples/handling/interface/README.rst b/examples/handling/interface/README.rst
new file mode 100644
index 000000000..c32885faf
--- /dev/null
+++ b/examples/handling/interface/README.rst
@@ -0,0 +1,2 @@
+Raster-vector interfacing
+-------------------------
\ No newline at end of file
diff --git a/examples/handling/interface/create_mask.py b/examples/handling/interface/create_mask.py
new file mode 100644
index 000000000..ef9c67332
--- /dev/null
+++ b/examples/handling/interface/create_mask.py
@@ -0,0 +1,46 @@
+"""
+Mask from a vector
+==================
+
+This example demonstrates the creation of a mask from a vector using :func:`geoutils.Vector.create_mask`.
+"""
+# sphinx_gallery_thumbnail_number = 2
+# %%
+# We open a raster and vector.
+import geoutils as gu
+rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+
+# %%
+# Let's plot the raster and vector.
+import matplotlib.pyplot as plt
+ax = plt.gca()
+rast.show(ax=ax, cmap="Purples")
+vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='k', lw=2)
+
+# %%
+# **First option:** using the raster as a reference to match, we create a mask for the vector in any projection and georeferenced grid. We simply have to pass
+# the :class:`~geoutils.Raster` as single argument to :func:`~geoutils.Vector.rasterize`. See :ref:`core-match-ref` for more details.
+
+vect_rasterized = vect.create_mask(rast)
+vect_rasterized.show()
+
+# %%
+# .. note::
+#         This is equivalent to using :func:`~geoutils.Vector.rasterize` with ``in_value=1`` and ``out_value=0`` and will return a :class:`~geoutils.Mask`.
+
+vect_rasterized
+
+# %%
+# **Second option:** we can pass any georeferencing parameter to :func:`~geoutils.Raster.create_mask`. Any unpassed attribute will be deduced from the
+# :class:`~geoutils.Vector` itself, except from the :attr:`~geoutils.Raster.shape` to rasterize that will default to 1000 x 1000.
+
+
+# vect_rasterized = vect.create_mask(xres=500)
+# vect_rasterized.show()
+
+# %%
+# .. important::
+#      The :attr:`~geoutils.Raster.shape` or the :attr:`~geoutils.Raster.res` are the only unknown arguments to rasterize a :class:`~geoutils.Vector`,
+#      one or the other can be passed.
+#
diff --git a/examples/handling/interface/polygonize.py b/examples/handling/interface/polygonize.py
new file mode 100644
index 000000000..a95923aee
--- /dev/null
+++ b/examples/handling/interface/polygonize.py
@@ -0,0 +1,39 @@
+"""
+Polygonize a raster
+===================
+
+This example demonstrates the polygonizing of a raster using :func:`geoutils.Raster.polygonize` and :func:`geoutils.Mask.polygonize`.
+"""
+# sphinx_gallery_thumbnail_number = 3
+# %%
+# We open a raster.
+import geoutils as gu
+rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left+5000, rast.bounds.bottom+5000])
+# %%
+# Let's plot the raster.
+rast.show(cmap="terrain")
+
+# %%
+# We polygonize the raster.
+
+rast_polygonized = rast.polygonize()
+rast_polygonized.ds.plot()
+
+# %%
+# By default, :func:`~geoutils.Raster.polygonize` will try to polygonize target all valid values. Instead, one can specify discrete values to target by
+# passing a number or :class:`list`, or a range of values by passing a :class:`tuple`.
+
+# A range of values to polygonize
+rast_polygonized = rast.polygonize((2500, 3000))
+rast_polygonized.ds.plot()
+
+# %%
+# An even simpler way to do this is to compute a :func:`~geoutils.Mask` to polygonize using logical comparisons on the :func:`~geoutils.Raster`.
+
+rast_polygonized = ((2500 < rast) & (rast < 3000)).polygonize()
+rast_polygonized.ds.plot()
+
+# %%
+# .. note::
+#           See :ref:`core-py-ops` for more details on casting to :func:`~geoutils.Mask`.
\ No newline at end of file
diff --git a/examples/handling/interface/rasterize.py b/examples/handling/interface/rasterize.py
new file mode 100644
index 000000000..bcc9b497f
--- /dev/null
+++ b/examples/handling/interface/rasterize.py
@@ -0,0 +1,57 @@
+"""
+Rasterize a vector
+==================
+
+This example demonstrates the rasterizing of a vector using :func:`geoutils.Vector.rasterize`.
+"""
+# sphinx_gallery_thumbnail_number = 2
+# %%
+# We open a raster and vector.
+import geoutils as gu
+rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+
+# %%
+# Let's plot the raster and vector.
+import matplotlib.pyplot as plt
+ax = plt.gca()
+rast.show(ax=ax, cmap="Purples")
+vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='k', lw=2)
+
+# %%
+# **First option:** using the raster as a reference to match, we rasterize the vector in any projection and georeferenced grid. We simply have to pass the
+# :class:`~geoutils.Raster` as single argument to :func:`~geoutils.Vector.rasterize`. See :ref:`core-match-ref` for more details.
+
+vect_rasterized = vect.rasterize(rast)
+vect_rasterized.show(cmap="viridis")
+
+# %%
+# By default, :func:`~geoutils.Vector.rasterize` will burn the index of the :class:`~geoutils.Vector`'s features in their geometry. We can specify the ``in_value`` to burn a
+# single value, or any iterable with the same length as there are features in the :class:`~geoutils.Vector`. An ``out_value`` can be passed to burn
+# outside the geometries.
+#
+
+vect_rasterized = vect.rasterize(rast, in_value=1)
+vect_rasterized.show()
+
+# %%
+#
+# .. note::
+#         If the rasterized ``in_value`` is fixed to 1 and ``out_value`` to 0 (default), then :func:`~geoutils.Vector.rasterize` is creating a boolean mask.
+#         This is equivalent to using :func:`~geoutils.Vector.create_mask`, and will return a :class:`~geoutils.Mask`.
+
+vect_rasterized
+
+# %%
+# **Second option:** we can pass any georeferencing parameter to :func:`~geoutils.Raster.rasterize`. Any unpassed attribute will be deduced from the
+# :class:`~geoutils.Vector` itself, except from the :attr:`~geoutils.Raster.shape` to rasterize that will default to 1000 x 1000.
+
+
+# vect_rasterized = vect.rasterize(xres=500)
+# vect_rasterized.show()
+
+# %%
+# .. important::
+#      The :attr:`~geoutils.Raster.shape` or the :attr:`~geoutils.Raster.res` are the only unknown arguments to rasterize a :class:`~geoutils.Vector`,
+#      one or the other can be passed.
+#
diff --git a/examples/handling/interface/topoints.py b/examples/handling/interface/topoints.py
new file mode 100644
index 000000000..ab5f5b56c
--- /dev/null
+++ b/examples/handling/interface/topoints.py
@@ -0,0 +1,21 @@
+"""
+Raster to points
+================
+
+This example demonstrates the conversion of a raster to point vector using :func:`geoutils.Raster.to_points`.
+"""
+# sphinx_gallery_thumbnail_number = 2
+# %%
+# We open a raster.
+import geoutils as gu
+rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left+500, rast.bounds.bottom+500])
+# %%
+# Let's plot the raster.
+rast.show(cmap="terrain")
+
+# %%
+# We convert the raster to points.
+
+pts_rast = rast.to_points(as_frame=True)
+pts_rast.plot(column="b1", cmap="terrain", legend=True)
diff --git a/examples/io/README.rst b/examples/io/README.rst
index 0e3915f20..e3556990b 100644
--- a/examples/io/README.rst
+++ b/examples/io/README.rst
@@ -2,3 +2,5 @@ Input/output
 ============
 
 Examples about **opening**, **creating**, **loading** or **saving** geospatial data.
+
+With :class:`Rasters<geoutils.Raster>`, data is only loaded when necessary (see :ref:`core-lazy-load`).
\ No newline at end of file
diff --git a/examples/io/import_export/README.rst b/examples/io/import_export/README.rst
new file mode 100644
index 000000000..a805d05d2
--- /dev/null
+++ b/examples/io/import_export/README.rst
@@ -0,0 +1,2 @@
+Import and export
+-----------------
\ No newline at end of file
diff --git a/examples/io/from_array.py b/examples/io/import_export/from_array.py
similarity index 100%
rename from examples/io/from_array.py
rename to examples/io/import_export/from_array.py
diff --git a/examples/io/import_export/import_raster.py b/examples/io/import_export/import_raster.py
new file mode 100644
index 000000000..2f24521b3
--- /dev/null
+++ b/examples/io/import_export/import_raster.py
@@ -0,0 +1,36 @@
+"""
+From/To Rasterio
+================
+
+This example demonstrates importing and exporting a :class:`rasterio.io.DatasetReader` or :class:`rasterio.io.DatasetReader` from and to a
+:class:`~geoutils.Raster`.
+"""
+
+# %%
+# A raster can be imported from a :class:`rasterio.io.DatasetReader` or :class:`rasterio.io.MemoryFile` simply by instantiating :class:`~geoutils.Raster`.
+import geoutils as gu
+import rasterio as rio
+
+ds = rio.DatasetReader(gu.examples.get_path("everest_landsat_b4"))
+rast = gu.Raster(ds)
+rast
+
+# %%
+# The data is unloaded, as when instantiated with a filename.
+# The data will be loaded explicitly by any function requiring its :attr:`~geoutils.Raster.data`, such as :func:`~geoutils.Raster.show`.
+rast.show(cmap="Greys_r")
+
+# %%
+# We can also pass a :class:`rasterio.io.MemoryFile` during instantiation.
+
+mem = rio.MemoryFile(open(gu.examples.get_path("everest_landsat_b4"), "rb"))
+rast = gu.Raster(mem)
+rast
+
+# %%
+# The data is, as expected, already in memory.
+#
+# Finally, we can export a :class:`~geoutils.Raster` to a :class:`rasterio.io.DatasetReader` of a :class:`rasterio.io.MemoryFile` using
+# :class:`~geoutils.Raster.to_rio_dataset`
+
+rast.to_rio_dataset()
\ No newline at end of file
diff --git a/examples/io/import_export/import_vector.py b/examples/io/import_export/import_vector.py
new file mode 100644
index 000000000..fde216ff1
--- /dev/null
+++ b/examples/io/import_export/import_vector.py
@@ -0,0 +1,21 @@
+"""
+From/To GeoPandas
+=================
+
+This example demonstrates importing or exporting a :class:`geopandas.GeoDataFrame` from and to a :class:`~geoutils.Vector`.
+"""
+
+# %%
+# A vector can be imported from a :class:`geopandas.GeoDataFrame` simply by instantiating :class:`~geoutils.Vector`.
+
+import geoutils as gu
+import geopandas as gpd
+
+ds = gpd.read_file(gu.examples.get_path("everest_rgi_outlines"))
+vect = gu.Vector(ds)
+vect
+
+# %%
+# To export, the :class:`geopandas.GeoDataFrame` is always stored as an attribute as :class:`~geoutils.Vector` is composed from it. See :ref:`core-composition`.
+
+vect.ds
diff --git a/examples/io/open_save/README.rst b/examples/io/open_save/README.rst
new file mode 100644
index 000000000..06ea0aeed
--- /dev/null
+++ b/examples/io/open_save/README.rst
@@ -0,0 +1,2 @@
+Open and save from files
+------------------------
\ No newline at end of file
diff --git a/examples/io/read_raster.py b/examples/io/open_save/read_raster.py
similarity index 95%
rename from examples/io/read_raster.py
rename to examples/io/open_save/read_raster.py
index d4299ab5a..7ae9a087e 100644
--- a/examples/io/read_raster.py
+++ b/examples/io/open_save/read_raster.py
@@ -1,6 +1,6 @@
 """
-Opening a raster from file
-==========================
+Opening a raster
+================
 
 This example demonstrates the instantiation of a raster through :class:`~geoutils.Raster`.
 """
diff --git a/examples/io/read_satimg.py b/examples/io/open_save/read_satimg.py
similarity index 93%
rename from examples/io/read_satimg.py
rename to examples/io/open_save/read_satimg.py
index e58421359..2d160ef7a 100644
--- a/examples/io/read_satimg.py
+++ b/examples/io/open_save/read_satimg.py
@@ -1,6 +1,6 @@
 """
-Parsing image metadata
-======================
+Parsing metadata
+================
 
 This example demonstrates the instantiation of an image through :class:`~geoutils.SatelliteImage`.
 """
diff --git a/examples/io/read_vector.py b/examples/io/open_save/read_vector.py
similarity index 88%
rename from examples/io/read_vector.py
rename to examples/io/open_save/read_vector.py
index bf88be7fa..f679d327c 100644
--- a/examples/io/read_vector.py
+++ b/examples/io/open_save/read_vector.py
@@ -1,6 +1,6 @@
 """
-Opening a vector from file
-==========================
+Opening a vector
+================
 
 This example demonstrates the instantiation of a vector through :class:`geoutils.Vector`.
 """
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index b072b266e..1c5404019 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -2764,7 +2764,7 @@ def to_points(
         return points
 
     def polygonize(
-        self, in_value: Number | tuple[Number, Number] | list[Number] | np.ndarray | Literal["all"] = 1
+        self, in_value: Number | tuple[Number, Number] | list[Number] | np.ndarray | Literal["all"] = "all"
     ) -> Vector:
         """
         Return a GeoDataFrame polygonized from a raster.
@@ -2802,8 +2802,7 @@ def polygonize(
         # mask all valid values
         elif in_value == "all":
 
-            vals_for_msk = list(set(self.data.flatten()))
-            bool_msk = np.isin(self.data, vals_for_msk).astype("uint8")
+            bool_msk = (~self.data.mask).astype("uint8")
 
         else:
 
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index 73bc91df1..df4f0e961 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -109,6 +109,8 @@ def copy(self: VectorType) -> VectorType:
     def crop(
         self: VectorType,
         cropGeom: gu.Raster | Vector | list[float] | tuple[float, ...],
+        clip: bool,
+        *,
         inplace: Literal[True] = True,
     ) -> None:
         ...
@@ -117,6 +119,8 @@ def crop(
     def crop(
         self: VectorType,
         cropGeom: gu.Raster | Vector | list[float] | tuple[float, ...],
+        clip: bool,
+        *,
         inplace: Literal[False],
     ) -> VectorType:
         ...
@@ -124,10 +128,11 @@ def crop(
     def crop(
         self: VectorType,
         cropGeom: gu.Raster | Vector | list[float] | tuple[float, ...],
+        clip: bool = False,
         inplace: bool = True,
     ) -> VectorType | None:
         """
-        Crop the Vector to given extent, or bounds of a raster or vector.
+        Crop the Vector to given extent, or bounds of a raster or vector. Optionally, clip geometries to that extent (by default keeps all intersecting).
 
         Reprojection is done on the fly if georeferenced objects have different projections.
 
@@ -135,6 +140,7 @@ def crop(
             coordinates. If cropGeom is a Raster, crop() will crop to the boundary of the raster as returned by
             Raster.ds.bounds. If cropGeom is a Vector, crop() will crop to the bounding geometry. If cropGeom is a
             list of coordinates, the order is assumed to be [xmin, ymin, xmax, ymax].
+        :param clip: Whether to clip the geometry to the given extent (by default keeps all intersecting).
         :param inplace: Update the vector inplace or return copy.
         """
         if isinstance(cropGeom, (gu.Raster, Vector)):
@@ -148,11 +154,14 @@ def crop(
         # Need to separate the two options, inplace update
         if inplace:
             self.ds = self.ds.cx[xmin:xmax, ymin:ymax]
+            if clip:
+                self.ds = self.ds.clip(mask=(xmin, ymin, xmax, ymax))
             return None
         # Or create a copy otherwise
         else:
             new_vector = self.copy()
             new_vector.ds = new_vector.ds.cx[xmin:xmax, ymin:ymax]
+            new_vector.ds = new_vector.ds.clip(mask=(xmin, ymin, xmax, ymax))
             return new_vector
 
     def reproject(
@@ -337,7 +346,7 @@ def rasterize(
 
         :param rst: A raster to be used as reference for the output grid
         :param crs: A pyproj or rasterio CRS object (Default to rst.crs if not None then self.crs)
-        :param xres: Output raster spatial resolution in x. Only is rst is None.
+        :param xres: Output raster spatial resolution in x. Only if rst is None.
             Must be in units of crs, if set.
         :param yres: Output raster spatial resolution in y. Only if rst is None.
         Must be in units of crs, if set. (Default to xres)

From c636e85cd62e0bad97ad6da77a7afd07a88a2fcf Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 22 Feb 2023 21:42:35 -0800
Subject: [PATCH 045/184] Incremental commit on doc

---
 doc/source/about_geoutils.md                    | 17 ++++++++++-------
 doc/source/index.md                             |  8 ++++----
 .../handling/georeferencing/reproj_raster.py    |  3 +--
 3 files changed, 15 insertions(+), 13 deletions(-)

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index 08f4b6010..7ddaf5252 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -5,11 +5,14 @@
 ## What is GeoUtils?
 
 GeoUtils<sup>1</sup> is a **[Python](https://www.python.org/) package for the handling and analysis of georeferenced data**, developed with the objective of 
-making geospatial analysis accessible, efficient and robust. 
+making such analysis accessible, efficient and reliable. 
 
-GeoUtils is designed for all Earth and planetary observation science. It is generally **most useful for remote sensing and Earth's surface applications 
-relying on moderate- to high-resolution georeferenced data** (typically < 1 km). Applications that, for analysis, require reprojections, re-gridding, point 
-interpolation, and other types of fine-grid analysis with millions of pixels.
+In a few words, GeoUtils can be described as a **convenience** wrapper package for end-users focusing on geospatial analysis. It allows to write shorter 
+code through consistent higher-level operations, implicit object behaviour and numerical interfacing.
+
+GeoUtils is designed for all Earth and planetary observation science. However, it is generally **most useful for remote sensing and Earth's surface 
+applications** that rely on moderate- to high-resolution georeferenced data. All applications that, for analysis, require robust reprojections, re-gridding, 
+point interpolation, and other types of fine-grid analysis with millions of pixels.
 
 ```{margin}
 <sup>1</sup>With name standing for *Geospatial Utilities*.
@@ -26,16 +29,16 @@ We are working on making features fully consistent for the first long-term relea
 GeoUtils is built on top of [Rasterio](https://rasterio.readthedocs.io/en/latest/), [GeoPandas](https://geopandas.org/en/stable/docs.html) 
 and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) for georeferenced operations, and relies on [NumPy](https://numpy.org/doc/stable/), 
 [SciPy](https://docs.scipy.org/doc/scipy/) and [Xarray](https://docs.xarray.dev/en/stable/) for scientific computing to provide:
-- A **common and consistent framework** for efficient rasters and vectors handling and analysis,
+- A **common and consistent framework** for efficient rasters and vectors handling,
 - A structure following the **principal of least knowledge**<sup>2</sup> to foster accessibility,
-- A **pythonic arithmetic** and **NumPy interfacing** for robust numerical computing and intuitive use.
+- A **pythonic arithmetic** and **NumPy interfacing** for robust numerical computing and intuitive analysis.
 
 ```{margin}
 <sup>2</sup>Or the [Law of Demeter](https://en.wikipedia.org/wiki/Law_of_Demeter) for software development.
 ```
 
 In particular, GeoUtils:
-- Rarely requires more than **single-line operations** due to its object-based structure,
+- Rarely requires more than **single-line operations** thanks to its object-based structure,
 - Strives to rely on **lazy-operations** under-the-hood to avoid unnecessary data loading,
 - Allows for **match-reference operations** to facilitate geospatial handling,
 - Re-implements **several of [GDAL](https://gdal.org/)'s missing features** (Proximity, DEM, Calc, etc),
diff --git a/doc/source/index.md b/doc/source/index.md
index 34f37bb0b..f3d97a91e 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -40,7 +40,7 @@ its testing suite and type checking ([Pytest](https://docs.pytest.org/en/7.2.x/)
 :gutter: 1 1 1 2
 
 :::{grid-item-card} {material-regular}`edit_note;2em` About GeoUtils
-:link: about_geoutils
+:link: about-geoutils
 :link-type: ref
 
 Learn more about why we developed GeoUtils.
@@ -50,17 +50,17 @@ Learn more about why we developed GeoUtils.
 :::
 
 :::{grid-item-card} {material-regular}`data_exploration;2em` Quick start
-:link: quick_start
+:link: quick-start
 :link-type: ref
  
-Run through a short example of the package functionalities.
+Run a short example of the package functionalities.
 
 +++
 [Learn more »](quick_start)
 :::
 
 :::{grid-item-card} {material-regular}`preview;2em` Features
-:link: core_index
+:link: core-index
 :link-type: ref
 
 Dive into the full documentation.
diff --git a/examples/handling/georeferencing/reproj_raster.py b/examples/handling/georeferencing/reproj_raster.py
index 7d3472777..9d33cb5b7 100644
--- a/examples/handling/georeferencing/reproj_raster.py
+++ b/examples/handling/georeferencing/reproj_raster.py
@@ -1,6 +1,6 @@
 """
 Reproject a raster
-=================)
+==================
 
 This example demonstrates the reprojection of a raster using :func:`geoutils.Raster.reproject`.
 """
@@ -29,7 +29,6 @@
 #
 # By default, a "bilinear" resampling algorithm is used. Any string or :class:`~rasterio.enums.Resampling` can be passed.
 
-
 rast1_warped = rast1.reproject(rast2)
 rast1_warped
 

From 9928eb085af717a08116855d0666e160a8dc1e76 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 23 Feb 2023 16:21:54 -0800
Subject: [PATCH 046/184] Incremental commit on doc

---
 doc/source/about_geoutils.md                  |  12 ++--
 doc/source/how_to_install.md                  |  15 ++---
 examples/analysis/README.rst                  |   2 +-
 .../array_numerics/numpy_interfacing.py       |  46 +++++++++++++++
 .../array_numerics/python_arithmetic.py       |  41 +++++++++++++
 .../analysis/geospatial/buffer_voronoi.py     |   2 +-
 .../analysis/geospatial/proximity_metric.py   |   2 +-
 examples/analysis/point_estimation/README.rst |   2 -
 examples/analysis/point_extraction/README.rst |   2 +
 .../point_extraction/interpolation.py         |  53 +++++++++++++++++
 .../analysis/point_extraction/reduction.py    |  55 ++++++++++++++++++
 examples/io/import_export/import_raster.py    |   8 +--
 examples/io/import_export/import_vector.py    |   9 ++-
 examples/io/open_save/myraster.tif            | Bin 0 -> 23791 bytes
 examples/io/open_save/read_raster.py          |  13 ++++-
 examples/io/open_save/read_vector.py          |  14 ++++-
 geoutils/georaster/raster.py                  |  10 +++-
 17 files changed, 252 insertions(+), 34 deletions(-)
 create mode 100644 examples/analysis/array_numerics/numpy_interfacing.py
 create mode 100644 examples/analysis/array_numerics/python_arithmetic.py
 delete mode 100644 examples/analysis/point_estimation/README.rst
 create mode 100644 examples/analysis/point_extraction/README.rst
 create mode 100644 examples/analysis/point_extraction/interpolation.py
 create mode 100644 examples/analysis/point_extraction/reduction.py
 create mode 100644 examples/io/open_save/myraster.tif

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index 7ddaf5252..67734efd7 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -7,16 +7,18 @@
 GeoUtils<sup>1</sup> is a **[Python](https://www.python.org/) package for the handling and analysis of georeferenced data**, developed with the objective of 
 making such analysis accessible, efficient and reliable. 
 
-In a few words, GeoUtils can be described as a **convenience** wrapper package for end-users focusing on geospatial analysis. It allows to write shorter 
-code through consistent higher-level operations, implicit object behaviour and numerical interfacing.
+```{margin}
+<sup>1</sup>With name standing for *Geospatial Utilities*.
+```
+
+In a few words, GeoUtils can be described as a **convenience wrapper package for end-users** focusing on geospatial analysis. It allows to write shorter 
+code through consistent higher-level operations, implicit object behaviour and numerical interfacing. In addition, GeoUtils adds **analysis-oriented 
+functions** that require many steps to perform with other packages, and which are robustly tested.
 
 GeoUtils is designed for all Earth and planetary observation science. However, it is generally **most useful for remote sensing and Earth's surface 
 applications** that rely on moderate- to high-resolution georeferenced data. All applications that, for analysis, require robust reprojections, re-gridding, 
 point interpolation, and other types of fine-grid analysis with millions of pixels.
 
-```{margin}
-<sup>1</sup>With name standing for *Geospatial Utilities*.
-```
 
 ```{important}
 GeoUtils is in early stages of development and its features might evolve rapidly. Note the version you are working on for
diff --git a/doc/source/how_to_install.md b/doc/source/how_to_install.md
index ce1a51d39..0b7950231 100644
--- a/doc/source/how_to_install.md
+++ b/doc/source/how_to_install.md
@@ -2,13 +2,13 @@
 
 # How to install
 
-## Installing with `mamba` (recommended)
+## Installing with ``mamba`` (recommended)
 
 ```bash
 mamba install -c conda-forge geoutils
 ```
 
-```{note}
+```{important}
 Solving dependencies can take a long time with `conda`, `mamba` significantly speeds up the process. Install it with:
 
     conda install mamba -n base -c conda-forge
@@ -16,7 +16,7 @@ Solving dependencies can take a long time with `conda`, `mamba` significantly sp
 Once installed, the same commands can be run by simply replacing `conda` by `mamba`. More details available in the [mamba documentation](https://mamba.readthedocs.io/en/latest/).
 ```
 
-## Installing with `pip`
+## Installing with ``pip``
 
 ```bash
 pip install geoutils
@@ -29,11 +29,8 @@ Setting up GDAL and PROJ may require some extra steps, depending on your operati
 ## Installing for contributors
 
 ```bash
-git clone https://github.com/GlacioHack/xdem.git
-cd ./xdem
-mamba env create -f dev-environment.yml
-mamba activate xdem
-pip install -e .
+git clone https://github.com/GlacioHack/geoutils.git
+mamba env create -f geoutils/dev-environment.yml
 ```
 
-After installing, check that everything is working by running the tests: `pytest -rA`.
+After installing, you can check that everything is working by running the tests: `pytest -rA`.
diff --git a/examples/analysis/README.rst b/examples/analysis/README.rst
index 67dff9231..a66dffd93 100644
--- a/examples/analysis/README.rst
+++ b/examples/analysis/README.rst
@@ -1,7 +1,7 @@
 Analysis
 ========
 
-Examples about **numerical operations** on rasters, and **additional features** such as **proximity** or **buffer without overlap** (Voronoi polygons).
+Examples about **numerical operations** on rasters, and **additional analysis features** such as **distance estimation** or **point extraction**.
 
 Some examples rely on NumPy or pythonic operators on :class:`Rasters<geoutils.Raster>` (see :ref:`core-py-ops` and :ref:`core-array-funcs`).
 
diff --git a/examples/analysis/array_numerics/numpy_interfacing.py b/examples/analysis/array_numerics/numpy_interfacing.py
new file mode 100644
index 000000000..9df052518
--- /dev/null
+++ b/examples/analysis/array_numerics/numpy_interfacing.py
@@ -0,0 +1,46 @@
+"""
+NumPy interfacing
+=================
+
+This example demonstrates NumPy interfacing with rasters on :class:`Rasters<geoutils.Raster>`. See :ref:`core-array-funcs` for more details.
+"""
+# sphinx_gallery_thumbnail_number = 2
+# %%
+# We open a raster
+import geoutils as gu
+rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+
+# %% We plot the original raster.
+rast.show(cmap='terrain')
+
+# %%
+# NumPy interfacing allows to use any NumPy function directly on the raster
+
+import numpy as np
+
+# Get the x and y gradient as 1D arrays
+gradient_y, gradient_x = np.gradient(rast)
+# Estimate the orientation in degrees casting to 2D
+aspect = np.arctan2(-gradient_x, gradient_y)
+aspect = (aspect * 180 / np.pi) + np.pi
+# We copy the new array into a raster
+asp = rast.copy(new_array=aspect)
+
+asp.show(cmap='twilight', cbar_title="Aspect (degrees)")
+
+# %%
+#
+# .. important::
+#        For rigorous slope and aspect calculation (matching that of GDAL), **check-out our sister package** `xDEM <https://xdem.readthedocs.io/en/latest/index.html>`_.
+# We can make numpy logical operations to isolate the terrain oriented South and above three thousand meters. The rasters will be cast to a :class:`Mask<geoutils.Mask>`.
+
+# Not supported yet, fix first
+# mask = np.logical_and.reduce((asp > -45, asp < 45, rast > 3000))
+# mask
+
+# %%
+# We plot the mask.
+
+# mask.show()
+
+
diff --git a/examples/analysis/array_numerics/python_arithmetic.py b/examples/analysis/array_numerics/python_arithmetic.py
new file mode 100644
index 000000000..9b2f66390
--- /dev/null
+++ b/examples/analysis/array_numerics/python_arithmetic.py
@@ -0,0 +1,41 @@
+"""
+Python arithmetic
+=================
+
+This example demonstrates arithmetic operations using raster arithmetic on :class:`Rasters<geoutils.Raster>`. See :ref:`core-py-ops` for more details.
+"""
+# sphinx_gallery_thumbnail_number = 2
+# %%
+# We open a raster
+import geoutils as gu
+rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+rast
+
+# %% We plot the original raster.
+rast.show(cmap='Greys_r')
+
+# %%
+# Performing arithmetic operations implicitly loads the data.
+rast = (rast + 1.)**0.5 / 5
+rast.show(cmap='Greys_r')
+
+# %%
+#
+# .. important::
+#        Arithmetic operations cast to new :class:`dtypes<numpy.dtype>` automatically following NumPy coercion rules. If we had written ``(rast + 1)``,
+#        this calculation would have conserved the original :class:`numpy.uint8` :class:`dtype<numpy.dtype>` of the raster.
+# Logical comparison operations will naturally cast to a :class:`Mask<geoutils.Mask>`.
+
+mask = rast == 200
+mask
+
+# %%
+# :class:`Masks<geoutils.Mask>` support python logical operators to be combined together
+
+mask = (rast >= 3) | (rast % 2 == 0) & (rast != 80)
+mask.show()
+
+# %%
+# Finally, :class:`Masks<geoutils.Mask>` can be used for indexing and assigning to a :class:`Rasters<geoutils.Raster>`
+
+values = rast[mask]
diff --git a/examples/analysis/geospatial/buffer_voronoi.py b/examples/analysis/geospatial/buffer_voronoi.py
index 4f2442f3f..940dbfd7d 100644
--- a/examples/analysis/geospatial/buffer_voronoi.py
+++ b/examples/analysis/geospatial/buffer_voronoi.py
@@ -2,7 +2,7 @@
 Metric buffer and without overlap
 =================================
 
-This example demonstrates the metric buffering of a vector using :class:`~geoutils.Vector.buffer_metric`.
+This example demonstrates the metric buffering of a vector using :func:`~geoutils.Vector.buffer_metric` and  :func:`~geoutils.Vector.buffer_without_overlap`.
 """
 # sphinx_gallery_thumbnail_number = 3
 # %%
diff --git a/examples/analysis/geospatial/proximity_metric.py b/examples/analysis/geospatial/proximity_metric.py
index 4d54bcf9d..ee7815b47 100644
--- a/examples/analysis/geospatial/proximity_metric.py
+++ b/examples/analysis/geospatial/proximity_metric.py
@@ -2,7 +2,7 @@
 Proximity to raster or vector
 =============================
 
-This example demonstrates the calculation of proximity distances to a raster or vector using :class:`~geoutils.Raster.proximity`.
+This example demonstrates the calculation of proximity distances to a raster or vector using :func:`~geoutils.Raster.proximity`.
 """
 # sphinx_gallery_thumbnail_number = 2
 # %%
diff --git a/examples/analysis/point_estimation/README.rst b/examples/analysis/point_estimation/README.rst
deleted file mode 100644
index 47288d7ca..000000000
--- a/examples/analysis/point_estimation/README.rst
+++ /dev/null
@@ -1,2 +0,0 @@
-Point estimation
-----------------
\ No newline at end of file
diff --git a/examples/analysis/point_extraction/README.rst b/examples/analysis/point_extraction/README.rst
new file mode 100644
index 000000000..37fd6dacd
--- /dev/null
+++ b/examples/analysis/point_extraction/README.rst
@@ -0,0 +1,2 @@
+Point extraction
+----------------
\ No newline at end of file
diff --git a/examples/analysis/point_extraction/interpolation.py b/examples/analysis/point_extraction/interpolation.py
new file mode 100644
index 000000000..4993dd8cf
--- /dev/null
+++ b/examples/analysis/point_extraction/interpolation.py
@@ -0,0 +1,53 @@
+"""
+Regular-grid interpolation
+==========================
+
+This example demonstrates raster interpolation to point values using :func:`~geoutils.Raster.interp_points`.
+"""
+# sphinx_gallery_thumbnail_number = 2
+# %%
+# We open an example raster, a digital elevation model in South America
+import geoutils as gu
+rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left+2000, rast.bounds.bottom+2000])
+
+# Plot the raster
+rast.show(cmap="terrain")
+
+# %%
+# We generate a random subsample of 100 points to interpolate, and extract the coordinates
+
+import numpy as np
+import geopandas as gpd
+# Replace by Raster function once done (valid coords)
+np.random.seed(42)
+x_coords = np.random.uniform(rast.bounds.left + 50, rast.bounds.right - 50, 50)
+y_coords = np.random.uniform(rast.bounds.bottom + 50, rast.bounds.top - 50, 50)
+
+vals = rast.interp_points(pts=list(zip(x_coords, y_coords)))
+
+# %%
+# Replace by Vector function once done
+ds = gpd.GeoDataFrame(geometry=gpd.points_from_xy(x=x_coords, y=y_coords), crs=rast.crs)
+ds["vals"] = vals
+ds.plot(column="vals", cmap="terrain", legend=True, vmin=np.nanmin(rast), vmax=np.nanmax(rast), marker='x')
+
+# %%
+# .. important::
+#       The interpretation of where raster values are located differ, see XXX. The parameter ``shift_area_or_point`` (off by default) can be turned on to ensure
+#       that the pixel interpretation of your dataset is correct.
+
+# %%
+# Let's look and redefine our pixel interpretation into ``"Point"``. This will shift interpolation by half a pixel.
+
+print(rast.tags["AREA_OR_POINT"])
+rast.tags["AREA_OR_POINT"] = "Point"
+
+# %%
+# We can interpolate again by shifting according to our interpretation, and changing the resampling algorithm (default to "linear").
+
+vals_shifted = rast.interp_points(pts=list(zip(x_coords, y_coords)), shift_area_or_point=True, mode="quintic")
+np.nanmean(vals - vals_shifted)
+
+# %%
+# The mean difference in interpolated values is quite significant, with a 2 meter bias!
\ No newline at end of file
diff --git a/examples/analysis/point_extraction/reduction.py b/examples/analysis/point_extraction/reduction.py
new file mode 100644
index 000000000..9090eff28
--- /dev/null
+++ b/examples/analysis/point_extraction/reduction.py
@@ -0,0 +1,55 @@
+"""
+Window point reduction
+======================
+
+This example demonstrates raster reduction to point values using :func:`~geoutils.Raster.value_at_coords`.
+"""
+# sphinx_gallery_thumbnail_number = 3
+# %%
+# We open an example raster, a digital elevation model in South America
+import geoutils as gu
+rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left+2000, rast.bounds.bottom+2000])
+
+# Plot the raster
+rast.show(cmap="terrain")
+
+# %%
+# We generate a random subsample of 100 coordinates to extract
+
+import numpy as np
+import geopandas as gpd
+# Replace by Raster function once done
+np.random.seed(42)
+x_coords = np.random.uniform(rast.bounds.left + 50, rast.bounds.right - 50, 50)
+y_coords = np.random.uniform(rast.bounds.bottom + 50, rast.bounds.top - 50, 50)
+
+vals = rast.value_at_coords(x=x_coords, y=y_coords)
+
+# %%
+# Replace by Vector function once done
+ds = gpd.GeoDataFrame(geometry=gpd.points_from_xy(x=x_coords, y=y_coords), crs=rast.crs)
+ds["vals"] = vals
+ds.plot(column="vals", cmap="terrain", legend=True, vmin=np.nanmin(rast), vmax=np.nanmax(rast))
+
+# %%
+# By default, :func:`~geoutils.Raster.value_at_coords` extracts the closest pixel value. But it can also be passed a window size and reductor function to
+# extract an average value or other statistic based on neighbouring pixels.
+
+vals_reduced = rast.value_at_coords(x=x_coords, y=y_coords, window=5, reducer_function=np.nanmedian)
+
+np.nanmean(vals - vals_reduced)
+
+# %%
+# The mean difference in extracted values is quite significant at 0.3 meters!
+# We can visualize how the sampling took place in window
+
+# Replace by Vector fonction once done
+coords = rast.coords(grid=True)
+x_closest = rast.copy(new_array=coords[0]).value_at_coords(x=x_coords, y=y_coords)
+y_closest = rast.copy(new_array=coords[1]).value_at_coords(x=x_coords, y=y_coords)
+from shapely import box
+geometry = [box(x - 2*rast.res[0], y - 2*rast.res[1], x + 2*rast.res[0], y + 2*rast.res[1]) for x, y in zip(x_closest, y_closest)]
+ds = gpd.GeoDataFrame(geometry=geometry, crs=rast.crs)
+ds["vals"] = vals_reduced
+ds.plot(column="vals", cmap="terrain", legend=True, vmin=np.nanmin(rast), vmax=np.nanmax(rast))
diff --git a/examples/io/import_export/import_raster.py b/examples/io/import_export/import_raster.py
index 2f24521b3..f81340345 100644
--- a/examples/io/import_export/import_raster.py
+++ b/examples/io/import_export/import_raster.py
@@ -1,5 +1,5 @@
 """
-From/To Rasterio
+From/to Rasterio
 ================
 
 This example demonstrates importing and exporting a :class:`rasterio.io.DatasetReader` or :class:`rasterio.io.DatasetReader` from and to a
@@ -11,19 +11,19 @@
 import geoutils as gu
 import rasterio as rio
 
-ds = rio.DatasetReader(gu.examples.get_path("everest_landsat_b4"))
+ds = rio.DatasetReader(gu.examples.get_path("exploradores_aster_dem"))
 rast = gu.Raster(ds)
 rast
 
 # %%
 # The data is unloaded, as when instantiated with a filename.
 # The data will be loaded explicitly by any function requiring its :attr:`~geoutils.Raster.data`, such as :func:`~geoutils.Raster.show`.
-rast.show(cmap="Greys_r")
+rast.show(cmap="terrain")
 
 # %%
 # We can also pass a :class:`rasterio.io.MemoryFile` during instantiation.
 
-mem = rio.MemoryFile(open(gu.examples.get_path("everest_landsat_b4"), "rb"))
+mem = rio.MemoryFile(open(gu.examples.get_path("exploradores_aster_dem"), "rb"))
 rast = gu.Raster(mem)
 rast
 
diff --git a/examples/io/import_export/import_vector.py b/examples/io/import_export/import_vector.py
index fde216ff1..e276e7f7d 100644
--- a/examples/io/import_export/import_vector.py
+++ b/examples/io/import_export/import_vector.py
@@ -1,5 +1,5 @@
 """
-From/To GeoPandas
+From/to GeoPandas
 =================
 
 This example demonstrates importing or exporting a :class:`geopandas.GeoDataFrame` from and to a :class:`~geoutils.Vector`.
@@ -11,10 +11,15 @@
 import geoutils as gu
 import geopandas as gpd
 
-ds = gpd.read_file(gu.examples.get_path("everest_rgi_outlines"))
+ds = gpd.read_file(gu.examples.get_path("exploradores_rgi_outlines"))
 vect = gu.Vector(ds)
 vect
 
+# %%
+# We plot the vector.
+
+vect.ds.plot(column="RGIId")
+
 # %%
 # To export, the :class:`geopandas.GeoDataFrame` is always stored as an attribute as :class:`~geoutils.Vector` is composed from it. See :ref:`core-composition`.
 
diff --git a/examples/io/open_save/myraster.tif b/examples/io/open_save/myraster.tif
new file mode 100644
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literal 0
HcmV?d00001

diff --git a/examples/io/open_save/read_raster.py b/examples/io/open_save/read_raster.py
index 7ae9a087e..b0d2e7b32 100644
--- a/examples/io/open_save/read_raster.py
+++ b/examples/io/open_save/read_raster.py
@@ -1,8 +1,8 @@
 """
-Opening a raster
-================
+Open/save a raster
+==================
 
-This example demonstrates the instantiation of a raster through :class:`~geoutils.Raster`.
+This example demonstrates the instantiation of a raster through :class:`~geoutils.Raster` and saving with :func:`~geoutils.Raster.save`.
 """
 
 # %%
@@ -12,6 +12,9 @@
 rast
 
 # %%
+#
+# .. note::
+#        A raster can also be instantiated with a :class:`rasterio.io.DatasetReader` or a :class:`rasterio.io.MemoryFile`, see :ref:`sphx_glr_io_examples_import_export_import_raster.py`.
 # We can print more info on the raster.
 print(rast.info())
 
@@ -30,3 +33,7 @@
 # We can load it explicitly by calling :func:`~geoutils.Raster.load` (could have also passed ``load_data=True`` to :class:`~geoutils.Raster`).
 rast.load()
 rast
+
+# %%
+# Finally, a raster is saved using :func:`~geoutils.Raster.save`:
+rast.save("myraster.tif")
\ No newline at end of file
diff --git a/examples/io/open_save/read_vector.py b/examples/io/open_save/read_vector.py
index f679d327c..94ede7b8a 100644
--- a/examples/io/open_save/read_vector.py
+++ b/examples/io/open_save/read_vector.py
@@ -1,8 +1,8 @@
 """
-Opening a vector
-================
+Open/save a vector
+==================
 
-This example demonstrates the instantiation of a vector through :class:`geoutils.Vector`.
+This example demonstrates the instantiation of a vector through :class:`geoutils.Vector` and saving with :func:`~geoutils.Vector.save`.
 """
 
 import geoutils as gu
@@ -13,6 +13,9 @@
 vect
 
 # %%
+#
+# .. note::
+#        A vector can also be instantiated with a :class:`geopandas.GeoDataFrame`, see :ref:`sphx_glr_io_examples_import_export_import_vector.py`.
 # We can print more info on the vector.
 print(vect)
 
@@ -22,3 +25,8 @@
 for _, glacier in vect.ds.iterrows():
     plt.plot(*glacier.geometry.exterior.xy)
 plt.show()
+
+# %%
+# Finally, a vector is saved using :func:`~geoutils.Vector.save`.
+
+# vect.save("myvector.shp")
\ No newline at end of file
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 1c5404019..671e20c4e 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -87,6 +87,7 @@
     ]
     + ["sort", "count_nonzero", "unique"]
     + ["all", "any", "isfinite", "isinf", "isnan", "logical_not"]
+    + ["gradient"]
 )
 
 _HANDLED_FUNCTIONS_2NIN = [
@@ -1520,6 +1521,9 @@ def __array_function__(
         elif func.__name__ in ["quantile", "nanquantile"]:
             first_arg = args[0].data.compressed()
 
+        elif func.__name__ in ["gradient"]:
+            first_arg = args[0].data.squeeze()
+
         # Otherwise, we run the numpy function normally (most take masks into account)
         else:
             first_arg = args[0].data
@@ -2299,7 +2303,7 @@ def format_value(value: Any) -> Any:
                 if window is not None:
                     value = reducer_function(value.flatten())
                 else:
-                    value = value[0, 0]
+                    value = value[0, 0, 0]
             else:
                 value = None
             return value
@@ -2385,7 +2389,7 @@ def format_value(value: Any) -> Any:
             if return_window:
                 output_win = list_windows[0]
         else:
-            output_val = list_values  # type: ignore
+            output_val = np.array(list_values)  # type: ignore
             if return_window:
                 output_win = list_windows
 
@@ -2419,7 +2423,7 @@ def coords(self, offset: str = "corner", grid: bool = True) -> tuple[np.ndarray,
             xx += dx / 2  # shift by half a pixel
             yy += dy / 2
         if grid:
-            meshgrid: tuple[np.ndarray, np.ndarray] = np.meshgrid(xx[:-1], yy[:-1])  # drop the last element
+            meshgrid: tuple[np.ndarray, np.ndarray] = np.meshgrid(xx[:-1], np.flip(yy[:-1]))  # drop the last element
             return meshgrid
         else:
             return xx[:-1], yy[:-1]

From af7ed0bf69bbcf70ad82b1b5493e978eecec7ac0 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Feb 2023 14:41:15 -0800
Subject: [PATCH 047/184] Add Vector.show and simplify gallery examples

---
 .../handling/georeferencing/crop_raster.py    |  15 +-
 .../handling/georeferencing/crop_vector.py    |  21 +--
 .../handling/georeferencing/reproj_raster.py  |   9 +-
 .../handling/georeferencing/reproj_vector.py  |   4 +-
 examples/handling/interface/create_mask.py    |   8 +-
 examples/handling/interface/polygonize.py     |   6 +-
 examples/handling/interface/rasterize.py      |  10 +-
 examples/handling/interface/topoints.py       |  11 +-
 examples/io/import_export/import_vector.py    |   2 +-
 examples/io/open_save/read_vector.py          |   7 +-
 geoutils/georaster/raster.py                  |  58 ++++---
 geoutils/georaster/satimg.py                  |  57 +++++--
 geoutils/geovector.py                         | 154 +++++++++++++++++-
 13 files changed, 261 insertions(+), 101 deletions(-)

diff --git a/examples/handling/georeferencing/crop_raster.py b/examples/handling/georeferencing/crop_raster.py
index 0c0e9831a..2bcebbebf 100644
--- a/examples/handling/georeferencing/crop_raster.py
+++ b/examples/handling/georeferencing/crop_raster.py
@@ -20,9 +20,8 @@
 # %%
 # Let's plot the raster and vector.
 import matplotlib.pyplot as plt
-ax = plt.gca()
-rast.show(ax=ax, cmap="Purples")
-vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='k', lw=2)
+rast.show(cmap="Purples")
+vect.show(ref_crs=rast, fc='none', ec='k', lw=2)
 
 # %%
 # **First option:** using the second raster as a reference to match, we reproject the first one. We simply have to pass the second :class:`~geoutils.Raster`
@@ -37,9 +36,8 @@
 #      By default, :func:`~geoutils.Raster.crop` is done in-place, replacing ``rast``. This behaviour can be modified by passing ``inplace=False``.
 #
 
-ax = plt.gca()
-rast.show(ax=ax, cmap="Purples")
-vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='k', lw=2)
+rast.show(ax="new", cmap="Purples")
+vect.show(ref_crs=rast, fc='none', ec='k', lw=2)
 
 # %%
 # **Second option:** we can pass other ``crop_geom`` argument to :func:`~geoutils.Raster.crop`, including another :class:`~geoutils.Raster` or a
@@ -47,6 +45,5 @@
 
 rast.crop((rast.bounds.left + 1000, rast.bounds.bottom, rast.bounds.right, rast.bounds.top - 500))
 
-ax = plt.gca()
-rast.show(ax=ax, cmap="Purples")
-vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='k', lw=2)
+rast.show(ax="new", cmap="Purples")
+vect.show(ref_crs=rast, fc='none', ec='k', lw=2)
diff --git a/examples/handling/georeferencing/crop_vector.py b/examples/handling/georeferencing/crop_vector.py
index 5cd355597..767b2738f 100644
--- a/examples/handling/georeferencing/crop_vector.py
+++ b/examples/handling/georeferencing/crop_vector.py
@@ -13,10 +13,8 @@
 
 # %%
 # Let's plot the raster and vector. The raster has smaller extent than the vector.
-import matplotlib.pyplot as plt
-ax = plt.gca()
-rast.show(ax=ax, cmap="Greys_r", alpha=0.7)
-vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='tab:purple', lw=3)
+rast.show(cmap="Greys_r", alpha=0.7)
+vect.show(ref_crs=rast, fc='none', ec='tab:purple', lw=3)
 
 # %%
 # **First option:** using the raster as a reference to match, we crop the vector. We simply have to pass the :class:`~geoutils.Raster` as single argument to
@@ -29,18 +27,16 @@
 #      By default, :func:`~geoutils.Vector.crop` is done in-place, replacing ``vect``. This behaviour can be modified by passing ``inplace=False``.
 #
 
-ax = plt.gca()
-rast.show(ax=ax, cmap="Greys_r", alpha=0.7)
-vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='tab:purple', lw=3)
+rast.show(ax="new", cmap="Greys_r", alpha=0.7)
+vect.show(ref_crs=rast, fc='none', ec='tab:purple', lw=3)
 
 # %%
 # The :func:`~geoutils.Vector.crop` keeps all features with geometries intersecting the extent to crop to. We can also force a clipping of the geometries
 # within the bounds using ``clip=True``.
 
 vect.crop(rast, clip=True)
-ax = plt.gca()
-rast.show(ax=ax, cmap="Greys_r", alpha=0.7)
-vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='tab:purple', lw=3)
+rast.show(ax="new", cmap="Greys_r", alpha=0.7)
+vect.show(ref_crs=rast, fc='none', ec='tab:purple', lw=3)
 
 # %%
 # **Second option:** we can pass other ``crop_geom`` argument to :func:`~geoutils.Vector.crop`, including another :class:`~geoutils.Vector` or a
@@ -52,6 +48,5 @@
                     bounds.right,
                     bounds.top))
 
-ax = plt.gca()
-rast.show(ax=ax, cmap="Greys_r", alpha=0.7)
-vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='tab:purple', lw=3)
+rast.show(ax="new", cmap="Greys_r", alpha=0.7)
+vect.show(ref_crs=rast, fc='none', ec='tab:purple', lw=3)
diff --git a/examples/handling/georeferencing/reproj_raster.py b/examples/handling/georeferencing/reproj_raster.py
index 9d33cb5b7..c248a267f 100644
--- a/examples/handling/georeferencing/reproj_raster.py
+++ b/examples/handling/georeferencing/reproj_raster.py
@@ -18,10 +18,9 @@
 # %%
 # Let's plot the first raster, with the warped extent of the second one.
 import matplotlib.pyplot as plt
-ax = plt.gca()
-rast1.show(ax=ax, cmap="Blues")
+rast1.show(cmap="Blues")
 vect_bounds_rast2 = gu.Vector.from_bounds_projected(rast2)
-vect_bounds_rast2.ds.plot(ax=ax, fc='none', ec='r', lw=2)
+vect_bounds_rast2.show(fc='none', ec='r', lw=2)
 
 # %%
 # **First option:** using the second raster as a reference to match, we reproject the first one. We simply have to pass the second :class:`~geoutils.Raster`
@@ -45,8 +44,8 @@
 # %%
 # We can plot the two rasters next to one another
 
-rast1_warped.show(cmap="Reds")
-rast2.show(cmap="Blues")
+rast1_warped.show(ax="new", cmap="Reds")
+rast2.show(ax="new", cmap="Blues")
 
 # %%
 # **Second option:** we can pass any georeferencing argument to :func:`~geoutils.Raster.reproject`, such as ``dst_size`` and ``dst_crs``, and will only
diff --git a/examples/handling/georeferencing/reproj_vector.py b/examples/handling/georeferencing/reproj_vector.py
index 9823aae74..7bdc8f35a 100644
--- a/examples/handling/georeferencing/reproj_vector.py
+++ b/examples/handling/georeferencing/reproj_vector.py
@@ -21,7 +21,7 @@
 # Let's plot the two in their original projection.
 import matplotlib.pyplot as plt
 rast.show(cmap="Greys_r")
-vect.ds.plot(fc='none', ec='tab:purple', lw=3)
+vect.show(ref_crs=rast, fc='none', ec='tab:purple', lw=3)
 
 # %%
 # **First option:** using the raster as a reference to match, we reproject the vector. We simply have to pass the :class:`~geoutils.Raster` as an argument
@@ -32,7 +32,7 @@
 # %%
 # We can plot the vector in its new projection.
 
-vect_reproj.ds.plot(fc='none', ec='tab:purple', lw=3)
+vect_reproj.show(ax="new", fc='none', ec='tab:purple', lw=3)
 
 # %%
 # **Second option:** we can pass the georeferencing argument ``dst_crs`` to :func:`~geoutils.Vector.reproject` (an EPSG code can be passed directly as
diff --git a/examples/handling/interface/create_mask.py b/examples/handling/interface/create_mask.py
index ef9c67332..3b0765399 100644
--- a/examples/handling/interface/create_mask.py
+++ b/examples/handling/interface/create_mask.py
@@ -13,17 +13,15 @@
 
 # %%
 # Let's plot the raster and vector.
-import matplotlib.pyplot as plt
-ax = plt.gca()
-rast.show(ax=ax, cmap="Purples")
-vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='k', lw=2)
+rast.show(cmap="Purples")
+vect.show(ref_crs=rast, fc='none', ec='k', lw=2)
 
 # %%
 # **First option:** using the raster as a reference to match, we create a mask for the vector in any projection and georeferenced grid. We simply have to pass
 # the :class:`~geoutils.Raster` as single argument to :func:`~geoutils.Vector.rasterize`. See :ref:`core-match-ref` for more details.
 
 vect_rasterized = vect.create_mask(rast)
-vect_rasterized.show()
+vect_rasterized.show(ax="new")
 
 # %%
 # .. note::
diff --git a/examples/handling/interface/polygonize.py b/examples/handling/interface/polygonize.py
index a95923aee..259de5e8b 100644
--- a/examples/handling/interface/polygonize.py
+++ b/examples/handling/interface/polygonize.py
@@ -18,7 +18,7 @@
 # We polygonize the raster.
 
 rast_polygonized = rast.polygonize()
-rast_polygonized.ds.plot()
+rast_polygonized.show(ax="new")
 
 # %%
 # By default, :func:`~geoutils.Raster.polygonize` will try to polygonize target all valid values. Instead, one can specify discrete values to target by
@@ -26,13 +26,13 @@
 
 # A range of values to polygonize
 rast_polygonized = rast.polygonize((2500, 3000))
-rast_polygonized.ds.plot()
+rast_polygonized.show(ax="new")
 
 # %%
 # An even simpler way to do this is to compute a :func:`~geoutils.Mask` to polygonize using logical comparisons on the :func:`~geoutils.Raster`.
 
 rast_polygonized = ((2500 < rast) & (rast < 3000)).polygonize()
-rast_polygonized.ds.plot()
+rast_polygonized.show(ax="new")
 
 # %%
 # .. note::
diff --git a/examples/handling/interface/rasterize.py b/examples/handling/interface/rasterize.py
index bcc9b497f..ed9f915be 100644
--- a/examples/handling/interface/rasterize.py
+++ b/examples/handling/interface/rasterize.py
@@ -13,17 +13,15 @@
 
 # %%
 # Let's plot the raster and vector.
-import matplotlib.pyplot as plt
-ax = plt.gca()
-rast.show(ax=ax, cmap="Purples")
-vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='k', lw=2)
+rast.show(cmap="Purples")
+vect.show(ref_crs=rast, fc='none', ec='k', lw=2)
 
 # %%
 # **First option:** using the raster as a reference to match, we rasterize the vector in any projection and georeferenced grid. We simply have to pass the
 # :class:`~geoutils.Raster` as single argument to :func:`~geoutils.Vector.rasterize`. See :ref:`core-match-ref` for more details.
 
 vect_rasterized = vect.rasterize(rast)
-vect_rasterized.show(cmap="viridis")
+vect_rasterized.show(ax="new", cmap="viridis")
 
 # %%
 # By default, :func:`~geoutils.Vector.rasterize` will burn the index of the :class:`~geoutils.Vector`'s features in their geometry. We can specify the ``in_value`` to burn a
@@ -32,7 +30,7 @@
 #
 
 vect_rasterized = vect.rasterize(rast, in_value=1)
-vect_rasterized.show()
+vect_rasterized.show(ax="new")
 
 # %%
 #
diff --git a/examples/handling/interface/topoints.py b/examples/handling/interface/topoints.py
index ab5f5b56c..d862910bc 100644
--- a/examples/handling/interface/topoints.py
+++ b/examples/handling/interface/topoints.py
@@ -15,7 +15,12 @@
 rast.show(cmap="terrain")
 
 # %%
-# We convert the raster to points.
+# We convert the raster to points. By default, this returns a vector with columb geometry burned.
 
-pts_rast = rast.to_points(as_frame=True)
-pts_rast.plot(column="b1", cmap="terrain", legend=True)
+pts_rast = rast.to_points()
+pts_rast
+
+# %%
+# We plot the point vector.
+
+pts_rast.show(column="b1", cmap="terrain", legend=True)
diff --git a/examples/io/import_export/import_vector.py b/examples/io/import_export/import_vector.py
index e276e7f7d..818581626 100644
--- a/examples/io/import_export/import_vector.py
+++ b/examples/io/import_export/import_vector.py
@@ -18,7 +18,7 @@
 # %%
 # We plot the vector.
 
-vect.ds.plot(column="RGIId")
+vect.show(column="RGIId")
 
 # %%
 # To export, the :class:`geopandas.GeoDataFrame` is always stored as an attribute as :class:`~geoutils.Vector` is composed from it. See :ref:`core-composition`.
diff --git a/examples/io/open_save/read_vector.py b/examples/io/open_save/read_vector.py
index 94ede7b8a..6e4311a81 100644
--- a/examples/io/open_save/read_vector.py
+++ b/examples/io/open_save/read_vector.py
@@ -20,11 +20,8 @@
 print(vect)
 
 # %%
-# Let's plot:
-import matplotlib.pyplot as plt
-for _, glacier in vect.ds.iterrows():
-    plt.plot(*glacier.geometry.exterior.xy)
-plt.show()
+# Let's plot by vector area
+vect.show(column="Area", cbar_title="Area (km²)")
 
 # %%
 # Finally, a vector is saved using :func:`~geoutils.Vector.save`.
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 671e20c4e..c7f6c395e 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -2103,24 +2103,26 @@ def show(
         alpha: float | int | None = None,
         cbar_title: str | None = None,
         add_cbar: bool = True,
-        ax: matplotlib.axes.Axes | None = None,
+        ax: matplotlib.axes.Axes | Literal["new"] | None = None,
+        return_axes: bool = False,
         **kwargs: Any,
     ) -> None | tuple[matplotlib.axes.Axes, matplotlib.colors.Colormap]:
-        r"""Show/display the image, with axes in projection of image.
+        r"""Show/display the raster, with axes in projection of image.
 
         This method is a wrapper to rasterio.plot.show. Any \*\*kwargs which
-        you give this method will be passed to rasterio.plot.show.
+        you give this method will be passed to it.
 
         :param index: Which band to plot, from 1 to self.count (default is all).
         :param cmap: The figure's colormap. Default is plt.rcParams['image.cmap'].
         :param vmin: Colorbar minimum value. Default is data min.
-        :param vmax: Colorbar maximum value. Default is data min.
+        :param vmax: Colorbar maximum value. Default is data max.
+        :param alpha: Transparency of raster and colorbar.
         :param cbar_title: Colorbar label. Default is None.
         :param add_cbar: Set to True to display a colorbar. Default is True.
-        :param ax: A figure ax to be used for plotting. If None, will create default figure and axes,
-            and plot figure directly.
+        :param ax: A figure ax to be used for plotting. If None, will plot on current axes. If "new", will create a new axis.
+        :param return_axes: Whether to return axes.
 
-        :returns: if ax is not None, returns (ax, cbar) where cbar is the colorbar (None if add_cbar is False)
+        :returns: None, or (ax, caxes) if return_axes is True
 
 
         You can also pass in \*\*kwargs to be used by the underlying imshow or
@@ -2178,11 +2180,18 @@ def show(
 
         # Create axes
         if ax is None:
-            fig, ax0 = plt.subplots()
+            # If no figure exists, get a new axis
+            if len(plt.get_fignums()) == 0:
+                ax0 = plt.gca()
+            # Otherwise, get first axis
+            else:
+                ax0 = plt.gcf().axes[0]
+        elif isinstance(ax, str) and ax.lower() == "new":
+            _, ax0 = plt.subplots()
         elif isinstance(ax, matplotlib.axes.Axes):
             ax0 = ax
         else:
-            raise ValueError("ax must be a matplotlib.axes.Axes instance or None")
+            raise ValueError("ax must be a matplotlib.axes.Axes instance, 'new' or None.")
 
         # Use data array directly, as rshow on self.ds will re-load data
         rshow(
@@ -2209,12 +2218,9 @@ def show(
         else:
             cbar = None
 
-        # If ax not set, figure should be plotted directly
-        if ax is None:
-            plt.show()
-            return None
-
-        return ax0, cbar
+        # If returning axes
+        if return_axes:
+            return ax, cax
 
     def value_at_coords(
         self,
@@ -2689,19 +2695,19 @@ def split_bands(self: RasterType, copy: bool = False, subset: list[int] | int |
 
     @overload
     def to_points(
-        self, subset: float | int, as_frame: Literal[True], pixel_offset: Literal["center", "corner"]
-    ) -> gpd.GeoDataFrame:
+        self, subset: float | int, as_array: Literal[True], pixel_offset: Literal["center", "corner"]
+    ) -> Vector:
         ...
 
     @overload
     def to_points(
-        self, subset: float | int, as_frame: Literal[False], pixel_offset: Literal["center", "corner"]
+        self, subset: float | int, as_array: Literal[False], pixel_offset: Literal["center", "corner"]
     ) -> np.ndarray:
         ...
 
     def to_points(
-        self, subset: float | int = 1, as_frame: bool = False, pixel_offset: Literal["center", "corner"] = "center"
-    ) -> np.ndarray:
+        self, subset: float | int = 1, as_array: bool = False, pixel_offset: Literal["center", "corner"] = "center"
+    ) -> np.ndarray | Vector:
         """
         Subset a point cloud of the raster.
 
@@ -2711,11 +2717,11 @@ def to_points(
         If the raster is not loaded, sampling will be done from disk without loading the entire Raster.
 
         Formats:
-            * `as_frame` == None | False: A numpy ndarray of shape (N, 2 + count) with the columns [x, y, b1, b2..].
-            * `as_frame` == True: A GeoPandas GeoDataFrame with the columns ["b1", "b2", ..., "geometry"]
+            * `as_array` == False: A vector with dataframe columns ["b1", "b2", ..., "geometry"],
+            * `as_array` == True: A numpy ndarray of shape (N, 2 + count) with the columns [x, y, b1, b2..].
 
         :param subset: The point count or fraction. If 'subset' > 1, it's parsed as a count.
-        :param as_frame: Return a GeoDataFrame with a geometry column and crs instead of an ndarray.
+        :param as_array: Return an array instead of a vector.
         :param pixel_offset: The point at which to associate the pixel coordinate with ('corner' == upper left).
 
         :raises ValueError: If the subset count or fraction is poorly formatted.
@@ -2757,13 +2763,13 @@ def to_points(
         # Merge the coordinates and pixel data into a point cloud.
         points = np.vstack((x_coords.reshape(1, -1), y_coords.reshape(1, -1), pixel_data)).T
 
-        if as_frame:
-            points = gpd.GeoDataFrame(
+        if not as_array:
+            points = Vector(gpd.GeoDataFrame(
                 points[:, 2:],
                 columns=[f"b{i}" for i in range(1, pixel_data.shape[0] + 1)],
                 geometry=gpd.points_from_xy(points[:, 0], points[:, 1]),
                 crs=self.crs,
-            )
+            ))
 
         return points
 
diff --git a/geoutils/georaster/satimg.py b/geoutils/georaster/satimg.py
index 26b2c6dd3..70a90690d 100644
--- a/geoutils/georaster/satimg.py
+++ b/geoutils/georaster/satimg.py
@@ -304,12 +304,12 @@ def __init__(
             super().__init__(filename_or_dataset, attrs=attrs, load_data=load_data, indexes=indexes)
 
         # priority to user input
-        self.datetime = datetime
-        self.tile_name = tile_name
-        self.satellite = satellite
-        self.sensor = sensor
-        self.product = product
-        self.version = version
+        self._datetime = datetime
+        self._tile_name = tile_name
+        self._satellite = satellite
+        self._sensor = sensor
+        self._product = product
+        self._version = version
 
         # trying to get metadata from separate metadata file
         if read_from_meta and self.filename is not None and fn_meta is not None:
@@ -347,25 +347,50 @@ def __parse_metadata_from_fn(self, silent: bool = False) -> None:
                 print("No metadata could be read from filename.")
             return
 
-        for n in name_attrs:
-            a = self.__getattribute__(n)
-            a_fn = attrs[name_attrs.index(n)]
-            if a is None and a_fn is not None:
+        for name in name_attrs:
+            attr = self.__getattribute__(name)
+            attr_fn = attrs[name_attrs.index(name)]
+            if attr is None and attr_fn is not None:
                 if not silent:
-                    print("From filename: setting " + n + " as " + str(a_fn))
-                setattr(self, n, a_fn)
-            elif a is not None and attrs[name_attrs.index(n)] is not None:
+                    print("From filename: setting " + name + " as " + str(attr_fn))
+                # Set hidden attribute first
+                setattr(self, "_"+name, attr_fn)
+            elif attr is not None and attrs[name_attrs.index(name)] is not None:
                 if not silent:
                     print(
                         "Leaving user input of "
-                        + str(a)
+                        + str(attr)
                         + " for attribute "
-                        + n
+                        + name
                         + " despite reading "
-                        + str(attrs[name_attrs.index(n)])
+                        + str(attrs[name_attrs.index(name)])
                         + "from filename"
                     )
 
+    @property
+    def datetime(self) -> dt.datetime | None:
+        return self._datetime
+
+    @property
+    def satellite(self) -> str | None:
+        return self._satellite
+
+    @property
+    def sensor(self) -> str | None:
+        return self._sensor
+
+    @property
+    def product(self) -> str | None:
+        return self._product
+
+    @property
+    def version(self) -> str | None:
+        return self._version
+
+    @property
+    def tile_name(self) -> str | None:
+        return self._tile_name
+
     def __parse_metadata_from_file(self, fn_meta: str | None) -> None:
         warnings.warn(f"Parse metadata from file not implemented. {fn_meta}")
 
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index df4f0e961..ac722970e 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -8,11 +8,13 @@
 import warnings
 from collections import abc
 from numbers import Number
-from typing import Literal, TypeVar, overload
+from typing import Literal, TypeVar, overload, Any
 
 import fiona
 import geopandas as gpd
+import matplotlib
 import matplotlib.pyplot as plt
+from mpl_toolkits.axes_grid1 import make_axes_locatable
 import numpy as np
 import rasterio as rio
 import rasterio.errors
@@ -48,22 +50,46 @@ def __init__(self, filename: str | pathlib.Path | gpd.GeoDataFrame):
                 # This warning shows up in numpy 1.21 (2021-07-09)
                 warnings.filterwarnings("ignore", ".*attribute.*array_interface.*Polygon.*")
                 ds = gpd.read_file(filename)
-            self.ds = ds
-            self.name: str | gpd.GeoDataFrame | None = filename
+            self._ds = ds
+            self._name: str | gpd.GeoDataFrame | None = filename
         elif isinstance(filename, gpd.GeoDataFrame):
-            self.ds = filename
-            self.name = None
+            self._ds = filename
+            self._name = None
         else:
             raise ValueError("filename argument not recognised.")
 
         self._crs = self.ds.crs
 
     def __repr__(self) -> str:
-        return str(self.ds.__repr__())
+        """Representation of vector"""
+
+        # Get the representation of ds
+        str_ds= "\n       ".join(self.__str__().split("\n"))
+
+        s = self.__class__.__name__ + "(\n" + \
+            "  ds=" + str_ds + \
+            "\n  crs=" + self.crs.__str__() + \
+            "\n  bounds=" + self.bounds.__str__() + ")"
+
+        return s
+
+    def _repr_html_(self) -> str:
+        """Representation of vector for html"""
+
+        str_ds = "\n       ".join(self.ds.__str__().split("\n"))
+
+        # Over-ride Raster's method to remove nodata value (always None)
+        # Use <pre> to keep white spaces, <span> to keep line breaks
+        s = '<pre><span style="white-space: pre-wrap"><b><em>' + self.__class__.__name__ + '</em></b>(\n' + \
+            "  <b>ds=</b>" + str_ds + \
+            "\n  <b>crs=</b>" + self.crs.__str__() + \
+            "\n  <b>bounds=</b>" + self.bounds.__repr__() + ")</span></pre>"
+
+        return s
 
     def __str__(self) -> str:
         """Provide string of information about Raster."""
-        return self.info()
+        return self.ds.__str__()
 
     def __getitem__(self, value: gu.Raster | Vector | list[float] | tuple[float, ...]) -> Vector:
         """Subset the Raster object: calls the crop method with default parameters"""
@@ -87,6 +113,99 @@ def info(self) -> str:
 
         return "".join(as_str)
 
+    def show(self,
+             ref_crs: gu.Raster | rio.io.DatasetReader | VectorType | gpd.GeoDataFrame | str | CRS | int | None = None,
+             cmap: matplotlib.colors.Colormap | str | None = None,
+             vmin: float | int | None = None,
+             vmax: float | int | None = None,
+             alpha: float | int | None = None,
+             cbar_title: str | None = None,
+             add_cbar: bool = False,
+             ax: matplotlib.axes.Axes | None | Literal["new"] = None,
+             return_axes: bool = False,
+             **kwargs: Any,
+             ) -> None | tuple[matplotlib.axes.Axes, matplotlib.colors.Colormap]:
+        """Show/display the vector, with axes in projection of image.
+
+        This method is a wrapper to geopandas.GeoDataFrame.plot. Any \*\*kwargs which
+        you give this method will be passed to it.
+
+        :param ref_crs: The CRS to match when plotting.
+        :param cmap: The colormap. Default is plt.rcParams['image.cmap'].
+        :param vmin: Colorbar minimum value. Default is data min.
+        :param vmax: Colorbar maximum value. Default is data max.
+        :param alpha: Transparency of raster and colorbar.
+        :param cbar_title: Colorbar label. Default is None.
+        :param add_cbar: Set to True to display a colorbar. Default is True.
+        :param ax: A figure ax to be used for plotting. If None, will plot on current axes. If "new", will create a new axis.
+        :param return_axes: Whether to return axes.
+
+        :returns: None, or (ax, caxes) if return_axes is True
+        """
+
+        # Ensure that the vector is in the same crs as a reference
+        if isinstance(ref_crs, (gu.Raster, rio.io.DatasetReader, Vector, gpd.GeoDataFrame, str)):
+            vect_reproj = self.reproject(dst_ref=ref_crs)
+        elif isinstance(ref_crs, (CRS, int)):
+            vect_reproj = self.reproject(dst_crs=ref_crs)
+        else:
+            vect_reproj = self
+
+        # Create axes, or get current ones by default (like in matplotlib)
+        if ax is None:
+            # If no figure exists, get a new axis
+            if len(plt.get_fignums()) == 0:
+                ax0 = plt.gca()
+            # Otherwise, get first axis
+            else:
+                ax0 = plt.gcf().axes[0]
+        elif isinstance(ax, str) and ax.lower() == "new":
+            _, ax0 = plt.subplots()
+        elif isinstance(ax, matplotlib.axes.Axes):
+            ax0 = ax
+        else:
+            raise ValueError("ax must be a matplotlib.axes.Axes instance, 'new' or None.")
+
+        # Update with this function's arguments
+        if add_cbar:
+            legend = True
+        else:
+            legend = False
+
+        if "legend" in list(kwargs.keys()):
+            legend = kwargs.pop("legend")
+        else:
+            legend = False
+
+        # Get colormap arguments that might have been passed in the keyword args
+        if "legend_kwds" in list(kwargs.keys()) and legend:
+            legend_kwds = kwargs.pop("legend_kwds")
+            if "label" in list(legend_kwds):
+                cbar_title = legend_kwds.pop("label")
+        else:
+            legend_kwds = None
+
+        # Add colorbar
+        if add_cbar or cbar_title:
+            divider = make_axes_locatable(ax0)
+            cax = divider.append_axes("right", size="5%", pad=0.05)
+            norm = matplotlib.colors.Normalize(vmin=vmin, vmax=vmax)
+            cbar = matplotlib.colorbar.ColorbarBase(cax, cmap=cmap, norm=norm) #, orientation="horizontal", ticklocation="top")
+            cbar.solids.set_alpha(alpha)
+
+            if cbar_title is not None:
+                cbar.set_label(cbar_title)
+        else:
+            cax = None
+            cbar = None
+
+        # Plot
+        vect_reproj.ds.plot(ax=ax0, cax=cax, cmap=cmap, vmin=vmin, vmax=vmax, alpha=alpha, legend=legend, legend_kwds=legend_kwds, **kwargs)
+
+        # If returning axes
+        if return_axes:
+            return ax, cax
+
     @property
     def bounds(self) -> rio.coords.BoundingBox:
         """Get a bounding box of the total bounds of the Vector."""
@@ -98,6 +217,27 @@ def crs(self) -> rio.crs.CRS:
         self._crs = self.ds.crs
         return self._crs
 
+    @property
+    def ds(self) -> gpd.GeoDataFrame:
+        """Getter method for dataset"""
+        return self._ds
+
+    @ds.setter
+    def ds(self, new_ds: gpd.GeoDataFrame | gpd.GeoSeries) -> None:
+        """Setting a new GeoDataFrame"""
+
+        if isinstance(new_ds, gpd.GeoDataFrame):
+            self._ds = new_ds
+        elif isinstance(new_ds, gpd.GeoSeries):
+            self._ds = gpd.GeoDataFrame(geometry=new_ds)
+        else:
+            raise ValueError("The dataset of a vector must be set with a GeoSeries or a GeoDataFrame.")
+
+    @property
+    def name(self) -> str | None:
+        """Filename if exists"""
+        return self._name
+
     def copy(self: VectorType) -> VectorType:
         """Return a copy of the Vector."""
         # Utilise the copy method of GeoPandas

From 48e5452f4eb3abb8375c93190ba5a1d76023f6ca Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Feb 2023 15:25:24 -0800
Subject: [PATCH 048/184] Fix sphinx errors

---
 doc/source/conf.py                            |  7 +++++
 doc/source/core_composition.md                | 12 ++++++---
 doc/source/index.md                           |  4 +--
 doc/source/raster_class.md                    |  4 +--
 .../array_numerics/numpy_interfacing.py       |  1 +
 .../array_numerics/python_arithmetic.py       |  1 +
 examples/io/open_save/read_raster.py          |  1 +
 examples/io/open_save/read_vector.py          |  1 +
 geoutils/georaster/raster.py                  | 22 +++++++---------
 geoutils/geovector.py                         | 26 +++++++++----------
 10 files changed, 46 insertions(+), 33 deletions(-)

diff --git a/doc/source/conf.py b/doc/source/conf.py
index eb0c9675b..9fe4305d0 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -55,6 +55,7 @@
     "geopandas": ("https://geopandas.org/en/stable", None),
     "xarray": ("https://docs.xarray.dev/en/stable/", None),
     "xdem": ("https://xdem.readthedocs.io/en/latest", None),
+    "rioxarray": ("https://corteva.github.io/rioxarray/stable/", None)
 }
 
 sphinx_gallery_conf = {
@@ -111,6 +112,12 @@
 #        "special-members": "__init__",
 # }
 
+# To ignore warnings due to having myst-nb reading the .ipynb created by sphinx-gallery
+# Should eventually be fixed, see: https://github.com/executablebooks/MyST-NB/issues/363
+def setup(app):
+    # Ignore .ipynb files
+    app.registry.source_suffix.pop(".ipynb", None)
+
 # -- Options for HTML output -------------------------------------------------
 
 # The theme to use for HTML and HTML Help pages.  See the documentation for
diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
index c5fb753d8..5aeb36ee8 100644
--- a/doc/source/core_composition.md
+++ b/doc/source/core_composition.md
@@ -33,8 +33,8 @@ raster
 ```
 
 From these **four main attributes**, many other derivatives attributes exist, such as {attr}`~geoutils.Raster.bounds` or {attr}`~geoutils.Raster.res` to 
-describe georeferencing. When a {class}`~geoutils.Raster` is based on an **on-disk** dataset, other attributes exist such as {attr}`~geoutils.Raster.
-name` or {attr}`~geoutils.Raster.driver`, see {ref}`raster-class` for a summary, or the {ref}`dedicated sections of the API` for a full listing.
+describe georeferencing. When a {class}`~geoutils.Raster` is based on an **on-disk** dataset, other attributes exist such as {attr}`~geoutils.Raster.name` or 
+{attr}`~geoutils.Raster.driver`, see {ref}`raster-class` for a summary, or the {ref}`dedicated sections of the API<api-raster-attrs>` for a full listing.
 
 ```{note}
 By default, {attr}`~geoutils.Raster.data` is not loaded during instantiation. See {ref}`core-lazy-load` for more details.
@@ -74,8 +74,12 @@ in order to easily call them from the vector object, and build additional method
 
 ```{code-cell} ipython3
 :tags: [hide-output]
-
 # Initiate a Vector from disk
-vector = examples.get_path("exploradores_rgi_outlines")
+vector = gu.Vector(gu.examples.get_path("exploradores_rgi_outlines"))
 vector
 ```
+```{code-cell} ipython3
+:tags: [hide-output]
+# Show summarized information
+print(vector.info())
+```
diff --git a/doc/source/index.md b/doc/source/index.md
index f3d97a91e..859878b38 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -32,10 +32,10 @@ GeoUtils is an **accessible**, **efficient** and **reliable** package to analyze
 **Reliable** owing to its consistent higher-level operations respecting geospatial intricacies such as nodata values and pixel interpretation, ensured by 
 its testing suite and type checking ([Pytest](https://docs.pytest.org/en/7.2.x/), [Mypy](https://mypy-lang.org/)).
 
-# Where to start?
-
 ----------------
 
+# Where to start?
+
 ::::{grid} 1 2 2 3
 :gutter: 1 1 1 2
 
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index 45ff209dd..9f79369e4 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -324,7 +324,7 @@ A {class}`~geoutils.Raster` can be exported to different formats, to facilitate
 Those include exporting to:
 - a {class}`xarray.Dataset` with {class}`~geoutils.Raster.to_xarray`, 
 - a {class}`rasterio.io.DatasetReader` with {class}`~geoutils.Raster.to_rio_dataset`, 
-- a {class}`numpy.ndarray`, {class}`geopandas.GeoDataFrame` or {class}`geoutils.Vector` as a point cloud with {class}`~geoutils.Raster.to_points`.
+- a {class}`numpy.ndarray` or {class}`geoutils.Vector` as a point cloud with {class}`~geoutils.Raster.to_points`.
 
 ```{code-cell} ipython3
 # Export to rasterio dataset-reader through a memoryfile
@@ -333,7 +333,7 @@ raster_reproj.to_rio_dataset()
 
 ```{code-cell} ipython3
 # Export to geopandas dataframe
-raster_reproj.to_points(as_frame=True)
+raster_reproj.to_points()
 ```
 
 
diff --git a/examples/analysis/array_numerics/numpy_interfacing.py b/examples/analysis/array_numerics/numpy_interfacing.py
index 9df052518..3f6a68665 100644
--- a/examples/analysis/array_numerics/numpy_interfacing.py
+++ b/examples/analysis/array_numerics/numpy_interfacing.py
@@ -32,6 +32,7 @@
 #
 # .. important::
 #        For rigorous slope and aspect calculation (matching that of GDAL), **check-out our sister package** `xDEM <https://xdem.readthedocs.io/en/latest/index.html>`_.
+#
 # We can make numpy logical operations to isolate the terrain oriented South and above three thousand meters. The rasters will be cast to a :class:`Mask<geoutils.Mask>`.
 
 # Not supported yet, fix first
diff --git a/examples/analysis/array_numerics/python_arithmetic.py b/examples/analysis/array_numerics/python_arithmetic.py
index 9b2f66390..47b539b0a 100644
--- a/examples/analysis/array_numerics/python_arithmetic.py
+++ b/examples/analysis/array_numerics/python_arithmetic.py
@@ -24,6 +24,7 @@
 # .. important::
 #        Arithmetic operations cast to new :class:`dtypes<numpy.dtype>` automatically following NumPy coercion rules. If we had written ``(rast + 1)``,
 #        this calculation would have conserved the original :class:`numpy.uint8` :class:`dtype<numpy.dtype>` of the raster.
+#
 # Logical comparison operations will naturally cast to a :class:`Mask<geoutils.Mask>`.
 
 mask = rast == 200
diff --git a/examples/io/open_save/read_raster.py b/examples/io/open_save/read_raster.py
index b0d2e7b32..81308cf99 100644
--- a/examples/io/open_save/read_raster.py
+++ b/examples/io/open_save/read_raster.py
@@ -15,6 +15,7 @@
 #
 # .. note::
 #        A raster can also be instantiated with a :class:`rasterio.io.DatasetReader` or a :class:`rasterio.io.MemoryFile`, see :ref:`sphx_glr_io_examples_import_export_import_raster.py`.
+#
 # We can print more info on the raster.
 print(rast.info())
 
diff --git a/examples/io/open_save/read_vector.py b/examples/io/open_save/read_vector.py
index 6e4311a81..3cdda9b12 100644
--- a/examples/io/open_save/read_vector.py
+++ b/examples/io/open_save/read_vector.py
@@ -16,6 +16,7 @@
 #
 # .. note::
 #        A vector can also be instantiated with a :class:`geopandas.GeoDataFrame`, see :ref:`sphx_glr_io_examples_import_export_import_vector.py`.
+#
 # We can print more info on the vector.
 print(vect)
 
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index c7f6c395e..ab44de077 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -44,10 +44,10 @@
 
 try:
     import rioxarray
+    _has_rioxarray = True
 except ImportError:
+    rioxarray = None
     _has_rioxarray = False
-else:
-    _has_rioxarray = True
 
 RasterType = TypeVar("RasterType", bound="Raster")
 
@@ -1665,10 +1665,10 @@ def reproject(
             defaults to self.crs.
         :param dst_size: Raster size to write to (x, y). Do not use with dst_res.
         :param dst_bounds: a BoundingBox object or a dictionary containing left, bottom, right, top bounds in the
-        source CRS.
+            source CRS.
         :param dst_res: Pixel size in units of target CRS. Either 1 value or (xres, yres). Do not use with dst_size.
         :param dst_nodata: nodata value of the destination. If set to None, will use the same as source,
-        and if source is None, will use GDAL's default.
+            and if source is None, will use GDAL's default.
         :param dst_dtype: Set data type of output.
         :param src_nodata: nodata value of the source. If set to None, will read from the metadata.
         :param resampling: A rasterio Resampling method
@@ -1676,7 +1676,7 @@ def reproject(
         :param n_threads: The number of worker threads. Defaults to (os.cpu_count() - 1).
         :param memory_limit: The warp operation memory limit in MB. Larger values may perform better.
 
-        :returns: Raster
+        :returns: Reprojected raster
 
         """
 
@@ -2032,7 +2032,7 @@ def to_xarray(self, name: str | None = None) -> rioxarray.DataArray:
         if not _has_rioxarray:
             raise ImportError("rioxarray is required for this functionality.")
 
-        xr = rioxarray.open_rasterio(self.ds)
+        xr = rioxarray.open_rasterio(self.to_rio_dataset())
         if name is not None:
             xr.name = name
 
@@ -2576,17 +2576,15 @@ def interp_points(
          to ensure that the interpolation of points is done at the right location. See parameter description
          of shift_area_or_point for more details.
 
-        :param pts: Point(s) at which to interpolate raster value. If points fall outside of image,
-        value returned is nan. Shape should be (N,2)'.
+        :param pts: Point(s) at which to interpolate raster value. If points fall outside of image, value
+            returned is nan. Shape should be (N,2).
         :param input_latlon: Whether the input is in latlon, unregarding of Raster CRS
-        :param mode: One of 'linear', 'cubic', or 'quintic'. Determines what type of spline is
-             used to interpolate the raster value at each point. For more information, see
-             scipy.interpolate.interp2d. Default is linear.
+        :param mode: One of 'linear', 'cubic', or 'quintic'. Determines what type of spline is used to
+            interpolate the raster value at each point. For more information, see scipy.interpolate.interp2d. Default is linear.
         :param index: The band to use (from 1 to self.count).
         :param shift_area_or_point: Shifts index to center pixel coordinates if GDAL's AREA_OR_POINT
             attribute (in self.tags) is "Point", keeps the corner pixel coordinate for "Area".
 
-
         :returns rpts: Array of raster value(s) for the given points.
         """
         assert mode in [
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index ac722970e..d4dfec24f 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -382,7 +382,7 @@ def create_mask(
         :param yres: Output raster spatial resolution in y. Only if rst is None. (Default to xres)
         :param bounds: Output raster bounds (left, bottom, right, top). Only if rst is None (Default to self bounds)
         :param buffer: Size of buffer to be added around the features, in the raster's projection units.
-        If a negative value is set, will erode the features.
+            If a negative value is set, will erode the features.
 
         :returns: A Mask object contain a boolean array
         """
@@ -489,13 +489,13 @@ def rasterize(
         :param xres: Output raster spatial resolution in x. Only if rst is None.
             Must be in units of crs, if set.
         :param yres: Output raster spatial resolution in y. Only if rst is None.
-        Must be in units of crs, if set. (Default to xres)
+            Must be in units of crs, if set. (Default to xres)
         :param bounds: Output raster bounds (left, bottom, right, top). Only if rst is None
             Must be in same system as crs, if set. (Default to self bounds).
         :param in_value: Value(s) to be burned inside the polygons (Default is self.ds.index + 1)
         :param out_value: Value to be burned outside the polygons (Default is 0)
 
-        :returns: array containing the burned geometries
+        :returns: Raster or mask containing the burned geometries
         """
         # If input rst is string, open as Raster
         if isinstance(rst, str):
@@ -718,7 +718,7 @@ def get_bounds_projected(self, out_crs: CRS, densify_pts: int = 5000) -> rio.coo
 
         :param out_crs: Output CRS
         :param densify_pts: Maximum points to be added between image corners to account for nonlinear edges.
-        Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
+            Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
         """
 
         # Calculate new bounds
@@ -738,21 +738,21 @@ def buffer_without_overlap(self, buffer_size: int | float, metric: bool = True,
         The algorithm may also yield unexpected results on very simple geometries.
 
         Note: A similar functionality is provided by momepy (http://docs.momepy.org) and is probably more robust.
-        It could be implemented in GeoPandas in the future: https://github.com/geopandas/geopandas/issues/2015
-
-        :examples:
-        >>> outlines = gu.Vector(gu.examples.get_path('everest_rgi_outlines'))
-        >>> outlines = gu.Vector(outlines.ds.to_crs('EPSG:32645'))
-        >>> buffer = outlines.buffer_without_overlap(500)
-        >>> ax = buffer.ds.plot()  # doctest: +SKIP
-        >>> outlines.ds.plot(ax=ax, ec='k', fc='none')  # doctest: +SKIP
-        >>> plt.show()  # doctest: +SKIP
+        It could be implemented in GeoPandas in the future: https://github.com/geopandas/geopandas/issues/2015.
 
         :param buffer_size: Buffer size in self's coordinate system units.
         :param metric: Whether to perform the buffering in a local metric system (default: True).
         :param plot: Set to True to show intermediate plots, useful for understanding or debugging.
 
         :returns: A Vector containing the buffered geometries.
+
+        :examples: On glacier outlines.
+            >>> outlines = gu.Vector(gu.examples.get_path('everest_rgi_outlines'))
+            >>> outlines = gu.Vector(outlines.ds.to_crs('EPSG:32645'))
+            >>> buffer = outlines.buffer_without_overlap(500)
+            >>> ax = buffer.ds.plot()  # doctest: +SKIP
+            >>> outlines.ds.plot(ax=ax, ec='k', fc='none')  # doctest: +SKIP
+            >>> plt.show()  # doctest: +SKIP
         """
 
         from geoutils.projtools import latlon_to_utm, utm_to_epsg

From f2cbf80596d920d7e11aa4ee86f5039dc6520328 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Feb 2023 15:52:41 -0800
Subject: [PATCH 049/184] Fix tests

---
 geoutils/georaster/raster.py |   2 +-
 tests/test_docs.py           |  39 ------
 tests/test_georaster.py      | 242 ++++++++++++++++++-----------------
 tests/test_satimg.py         |  57 ++++-----
 4 files changed, 153 insertions(+), 187 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index ab44de077..7aa3fa8a0 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -1522,7 +1522,7 @@ def __array_function__(
             first_arg = args[0].data.compressed()
 
         elif func.__name__ in ["gradient"]:
-            first_arg = args[0].data.squeeze()
+            first_arg = args[0].data[0, :, :]
 
         # Otherwise, we run the numpy function normally (most take masks into account)
         else:
diff --git a/tests/test_docs.py b/tests/test_docs.py
index d26535c4e..5dc53b1a3 100644
--- a/tests/test_docs.py
+++ b/tests/test_docs.py
@@ -10,45 +10,6 @@ class TestDocs:
     docs_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "../", "doc/")
     n_threads = os.getenv("N_CPUS")
 
-    def test_example_code(self) -> None:
-        """Try running each python script in the doc/source/code\
-                directory and check that it doesn't raise an error."""
-        current_dir = os.getcwd()
-        os.chdir(os.path.join(self.docs_dir, "source"))
-
-        def run_code(filename: str) -> None:
-            """Run a python script in one thread."""
-            with open(filename) as infile:
-                # Run everything except plt.show() calls.
-                with warnings.catch_warnings():
-                    # When running the code asynchronously, matplotlib complains a bit
-                    ignored_warnings = [
-                        "Starting a Matplotlib GUI outside of the main thread",
-                        ".*fetching the attribute.*Polygon.*",
-                    ]
-                    # This is a GeoPandas issue
-                    warnings.simplefilter("error")
-
-                    for warning_text in ignored_warnings:
-                        warnings.filterwarnings("ignore", warning_text)
-                    try:
-                        exec(infile.read().replace("plt.show()", "plt.close()"))
-                    except Exception as exception:
-                        raise RuntimeError(f"Failed on {filename}") from exception
-
-        filenames = [os.path.join("code", filename) for filename in os.listdir("code/") if filename.endswith(".py")]
-
-        for filename in filenames:
-            run_code(filename)
-        """
-        with concurrent.futures.ThreadPoolExecutor(
-            max_workers=int(self.n_threads) if self.n_threads is not None else None
-        ) as executor:
-            list(executor.map(run_code, filenames))
-        """
-
-        os.chdir(current_dir)
-
     def test_build(self) -> None:
         """Try building the docs and see if it works."""
         # Remove the build directory if it exists.
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 27ca5d14a..32bfa98c5 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -17,8 +17,6 @@
 from pylint import epylint
 
 import geoutils as gu
-import geoutils.georaster as gr
-import geoutils.geovector as gv
 import geoutils.projtools as pt
 from geoutils import examples
 from geoutils.georaster.raster import _default_nodata, _default_rio_attrs
@@ -79,28 +77,28 @@ def test_init(self, example: str) -> None:
         """Test that all possible inputs work properly in Raster class init"""
 
         # First, string filename
-        r0 = gr.Raster(example)
-        assert isinstance(r0, gr.Raster)
+        r0 = gu.Raster(example)
+        assert isinstance(r0, gu.Raster)
 
         # Second, filename in a pathlib object
         path = pathlib.Path(example)
-        r1 = gr.Raster(path)
-        assert isinstance(r1, gr.Raster)
+        r1 = gu.Raster(path)
+        assert isinstance(r1, gu.Raster)
 
         # Third, passing a Raster itself (points back to Raster passed)
-        r2 = gr.Raster(r0)
-        assert isinstance(r2, gr.Raster)
+        r2 = gu.Raster(r0)
+        assert isinstance(r2, gu.Raster)
 
         # Fourth, rio.Dataset
         ds = rio.open(example)
-        r3 = gr.Raster(ds)
-        assert isinstance(r3, gr.Raster)
+        r3 = gu.Raster(ds)
+        assert isinstance(r3, gu.Raster)
         assert r3.filename is not None
 
         # Finally, as memoryfile
         memfile = rio.MemoryFile(open(example, "rb"))
-        r4 = gr.Raster(memfile)
-        assert isinstance(r4, gr.Raster)
+        r4 = gu.Raster(memfile)
+        assert isinstance(r4, gu.Raster)
 
         # All rasters should be equal
         assert all(
@@ -114,7 +112,7 @@ def test_init(self, example: str) -> None:
         assert r2.data[0, 0, 0] != r0.data[0, 0, 0]
 
         # However, if we reinstantiate now that the data is loaded, it should point to the same
-        r5 = gr.Raster(r0)
+        r5 = gu.Raster(r0)
         r0.data[0, 0, 0] += 5
         assert r5.data[0, 0, 0] == r0.data[0, 0, 0]
 
@@ -123,14 +121,14 @@ def test_init(self, example: str) -> None:
         assert r0.count != r2.count
 
         # Test that loaded data are always masked_arrays (but the mask may be empty, i.e. 'False')
-        assert np.ma.isMaskedArray(gr.Raster(example, masked=True).data)
-        assert np.ma.isMaskedArray(gr.Raster(example, masked=False).data)
+        assert np.ma.isMaskedArray(gu.Raster(example, masked=True).data)
+        assert np.ma.isMaskedArray(gu.Raster(example, masked=False).data)
 
     @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])  # type: ignore
     def test_info(self, example: str) -> None:
         """Test that the information summary is consistent with that of rasterio"""
 
-        r = gr.Raster(example)
+        r = gu.Raster(example)
 
         # Check all is good with passing attributes
         with rio.open(example) as dataset:
@@ -167,14 +165,14 @@ def test_loading(self) -> None:
         Test that loading metadata and data works for all possible cases.
         """
         # Test 0 - test that loading explicitly via load() or implicitly via .data is similar
-        r_explicit = gr.Raster(self.landsat_b4_path, load_data=True)
-        r_implicit = gr.Raster(self.landsat_b4_path)
+        r_explicit = gu.Raster(self.landsat_b4_path, load_data=True)
+        r_implicit = gu.Raster(self.landsat_b4_path)
 
         assert r_explicit.raster_equal(r_implicit)
 
         # Test 1 - loading metadata only, single band
         # For the first example with Landsat B4
-        r = gr.Raster(self.landsat_b4_path)
+        r = gu.Raster(self.landsat_b4_path)
 
         assert not r.is_loaded
         assert r.driver == "GTiff"
@@ -192,7 +190,7 @@ def test_loading(self) -> None:
         assert r.crs == rio.crs.CRS.from_epsg(32645)
 
         # And the second example with ASTER DEM
-        r2 = gr.Raster(self.aster_dem_path)
+        r2 = gu.Raster(self.aster_dem_path)
 
         assert not r2.is_loaded
         assert r2.driver == "GTiff"
@@ -219,7 +217,7 @@ def test_loading(self) -> None:
         assert r.data.shape == (r.count, r.height, r.width)
 
         # Test 3 - single band, loading data
-        r = gr.Raster(self.landsat_b4_path, load_data=True)
+        r = gu.Raster(self.landsat_b4_path, load_data=True)
         assert r.is_loaded
         assert r.count == 1
         assert r.count_on_disk == 1
@@ -228,7 +226,7 @@ def test_loading(self) -> None:
         assert r.data.shape == (r.count, r.height, r.width)
 
         # Test 4 - multiple bands, load all bands
-        r = gr.Raster(self.landsat_rgb_path, load_data=True)
+        r = gu.Raster(self.landsat_rgb_path, load_data=True)
         assert r.count == 3
         assert r.count_on_disk == 3
         assert r.indexes == (
@@ -244,7 +242,7 @@ def test_loading(self) -> None:
         assert r.data.shape == (r.count, r.height, r.width)
 
         # Test 5 - multiple bands, load one band only
-        r = gr.Raster(self.landsat_rgb_path, load_data=True, indexes=1)
+        r = gu.Raster(self.landsat_rgb_path, load_data=True, indexes=1)
         assert r.count == 1
         assert r.count_on_disk == 3
         assert r.indexes == (1,)
@@ -252,7 +250,7 @@ def test_loading(self) -> None:
         assert r.data.shape == (r.count, r.height, r.width)
 
         # Test 6 - multiple bands, load a list of bands
-        r = gr.Raster(self.landsat_rgb_path, load_data=True, indexes=[2, 3])
+        r = gu.Raster(self.landsat_rgb_path, load_data=True, indexes=[2, 3])
         assert r.count == 2
         assert r.count_on_disk == 3
         assert r.indexes == (1, 2)
@@ -264,7 +262,7 @@ def test_to_rio_dataset(self, example: str):
         """Test the export to a rasterio dataset"""
 
         # Open raster and export to rio dataset
-        rst = gr.Raster(example)
+        rst = gu.Raster(example)
         rio_ds = rst.to_rio_dataset()
 
         # Check that the output is indeed a MemoryFile
@@ -333,9 +331,9 @@ def test_data_setter(self, dtype: str, nodata_init: str | None) -> None:
         # -- First test: consistency with input array --
 
         # 3 cases: classic array without mask, masked_array without mask and masked_array with mask
-        r1 = gr.Raster.from_array(data=arr, transform=transform, crs=None, nodata=nodata)
-        r2 = gr.Raster.from_array(data=np.ma.masked_array(arr), transform=transform, crs=None, nodata=nodata)
-        r3 = gr.Raster.from_array(data=np.ma.masked_array(arr, mask=mask), transform=transform, crs=None, nodata=nodata)
+        r1 = gu.Raster.from_array(data=arr, transform=transform, crs=None, nodata=nodata)
+        r2 = gu.Raster.from_array(data=np.ma.masked_array(arr), transform=transform, crs=None, nodata=nodata)
+        r3 = gu.Raster.from_array(data=np.ma.masked_array(arr, mask=mask), transform=transform, crs=None, nodata=nodata)
 
         # Check nodata is correct
         assert r1.nodata == nodata
@@ -353,9 +351,9 @@ def test_data_setter(self, dtype: str, nodata_init: str | None) -> None:
         # -- Second test: passing a 2D array --
 
         # 3 cases: classic array without mask, masked_array without mask and masked_array with mask
-        r1 = gr.Raster.from_array(data=arr.squeeze(), transform=transform, crs=None, nodata=nodata)
-        r2 = gr.Raster.from_array(data=np.ma.masked_array(arr).squeeze(), transform=transform, crs=None, nodata=nodata)
-        r3 = gr.Raster.from_array(
+        r1 = gu.Raster.from_array(data=arr.squeeze(), transform=transform, crs=None, nodata=nodata)
+        r2 = gu.Raster.from_array(data=np.ma.masked_array(arr).squeeze(), transform=transform, crs=None, nodata=nodata)
+        r3 = gu.Raster.from_array(
             data=np.ma.masked_array(arr, mask=mask).squeeze(), transform=transform, crs=None, nodata=nodata
         )
 
@@ -387,24 +385,24 @@ def test_data_setter(self, dtype: str, nodata_init: str | None) -> None:
                     match="Setting default nodata {:.0f} to mask non-finite values found in the array, as "
                     "no nodata value was defined.".format(_default_nodata(dtype)),
                 ):
-                    r1 = gr.Raster.from_array(
+                    r1 = gu.Raster.from_array(
                         data=arr_with_unmasked_nodata, transform=transform, crs=None, nodata=nodata
                     )
-                    r2 = gr.Raster.from_array(
+                    r2 = gu.Raster.from_array(
                         data=np.ma.masked_array(arr_with_unmasked_nodata), transform=transform, crs=None, nodata=nodata
                     )
-                    r3 = gr.Raster.from_array(
+                    r3 = gu.Raster.from_array(
                         data=np.ma.masked_array(arr_with_unmasked_nodata, mask=mask),
                         transform=transform,
                         crs=None,
                         nodata=nodata,
                     )
             else:
-                r1 = gr.Raster.from_array(data=arr_with_unmasked_nodata, transform=transform, crs=None, nodata=nodata)
-                r2 = gr.Raster.from_array(
+                r1 = gu.Raster.from_array(data=arr_with_unmasked_nodata, transform=transform, crs=None, nodata=nodata)
+                r2 = gu.Raster.from_array(
                     data=np.ma.masked_array(arr_with_unmasked_nodata), transform=transform, crs=None, nodata=nodata
                 )
-                r3 = gr.Raster.from_array(
+                r3 = gu.Raster.from_array(
                     data=np.ma.masked_array(arr_with_unmasked_nodata, mask=mask),
                     transform=transform,
                     crs=None,
@@ -429,7 +427,7 @@ def test_data_setter(self, dtype: str, nodata_init: str | None) -> None:
             assert np.array_equal(r3.data.mask, np.logical_or(mask, ~np.isfinite(arr_with_unmasked_nodata)))
 
         # Check that setting data with a different data type results in an error
-        rst = gr.Raster.from_array(data=arr, transform=transform, crs=None, nodata=nodata)
+        rst = gu.Raster.from_array(data=arr, transform=transform, crs=None, nodata=nodata)
         if "int" in dtype:
             new_dtype = "float32"
         else:
@@ -465,7 +463,7 @@ def test_get_nanarray(self, example: str) -> None:
         # -- First, we test without returning a mask --
 
         # Get nanarray
-        rst = gr.Raster(example)
+        rst = gu.Raster(example)
         rst_copy = rst.copy()
         rst_arr = rst.get_nanarray()
 
@@ -499,13 +497,13 @@ def test_downsampling(self) -> None:
         Check that self.data is correct when using downsampling
         """
         # Test single band
-        r = gr.Raster(self.landsat_b4_path, downsample=4)
+        r = gu.Raster(self.landsat_b4_path, downsample=4)
         assert r.data.shape == (1, 164, 200)
         assert r.height == 164
         assert r.width == 200
 
         # Test multiple band
-        r = gr.Raster(self.landsat_rgb_path, downsample=2)
+        r = gu.Raster(self.landsat_rgb_path, downsample=2)
         assert r.data.shape == (3, 328, 400)
 
         # Test that xy2ij are consistent with new image
@@ -525,10 +523,10 @@ def test_add_sub(self) -> None:
         # Create fake rasters with random values in 0-255 and dtype uint8
         width = height = 5
         transform = rio.transform.from_bounds(0, 0, 1, 1, width, height)
-        r1 = gr.Raster.from_array(
+        r1 = gu.Raster.from_array(
             np.random.randint(0, 255, (height, width), dtype="uint8"), transform=transform, crs=None
         )
-        r2 = gr.Raster.from_array(
+        r2 = gu.Raster.from_array(
             np.random.randint(0, 255, (height, width), dtype="uint8"), transform=transform, crs=None
         )
 
@@ -548,7 +546,7 @@ def test_add_sub(self) -> None:
         assert np.array_equal(r3.dtypes, ["uint8"])
 
         # Test with dtype Float32
-        r1 = gr.Raster.from_array(
+        r1 = gu.Raster.from_array(
             np.random.randint(0, 255, (height, width)).astype("float32"), transform=transform, crs=None
         )
         r3 = -r1
@@ -565,7 +563,7 @@ def test_add_sub(self) -> None:
 
         # Check that errors are properly raised
         # different shapes
-        r1 = gr.Raster.from_array(
+        r1 = gu.Raster.from_array(
             np.random.randint(0, 255, (height + 1, width)).astype("float32"), transform=transform, crs=None
         )
         expected_message = "Both rasters must have the same shape, transform and CRS."
@@ -576,7 +574,7 @@ def test_add_sub(self) -> None:
             r1.__sub__(r2)
 
         # different CRS
-        r1 = gr.Raster.from_array(
+        r1 = gu.Raster.from_array(
             np.random.randint(0, 255, (height, width)).astype("float32"),
             transform=transform,
             crs=rio.crs.CRS.from_epsg(4326),
@@ -590,7 +588,7 @@ def test_add_sub(self) -> None:
 
         # different transform
         transform2 = rio.transform.from_bounds(0, 0, 2, 2, width, height)
-        r1 = gr.Raster.from_array(
+        r1 = gu.Raster.from_array(
             np.random.randint(0, 255, (height, width)).astype("float32"), transform=transform2, crs=None
         )
 
@@ -616,7 +614,7 @@ def test_copy(self, example: str) -> None:
         # -- First and second test: copying create a new memory file that has all the same attributes --
 
         # Open data, modify, and copy
-        r = gr.Raster(example)
+        r = gu.Raster(example)
         r.data += 5
         r2 = r.copy()
 
@@ -624,7 +622,7 @@ def test_copy(self, example: str) -> None:
         assert r is not r2
 
         # Check the object is a Raster
-        assert isinstance(r2, gr.Raster)
+        assert isinstance(r2, gu.Raster)
 
         # Copy should have no filename
         assert r2.filename is None
@@ -682,7 +680,7 @@ def test_is_modified(self, example: str) -> None:
         Test that changing the data updates is_modified as desired
         """
         # After loading, should not be modified
-        r = gr.Raster(example)
+        r = gu.Raster(example)
         assert not r.is_modified
 
         # This should not trigger the hash
@@ -694,7 +692,7 @@ def test_is_modified(self, example: str) -> None:
         assert not r.is_modified
 
         # This will
-        r = gr.Raster(example)
+        r = gu.Raster(example)
         r.data = r.data + 5
         assert r.is_modified
 
@@ -704,13 +702,13 @@ def test_masking(self, example: str) -> None:
         Test self.set_mask
         """
         # Test boolean mask
-        r = gr.Raster(example)
+        r = gu.Raster(example)
         mask = r.data.data == np.min(r.data.data)
         r.set_mask(mask)
         assert (np.count_nonzero(mask) > 0) & np.array_equal(mask > 0, r.data.mask)
 
         # Test non-boolean mask with values > 0
-        r = gr.Raster(example)
+        r = gu.Raster(example)
         mask = np.where(r.data.data == np.min(r.data.data), 32, 0)
         r.set_mask(mask)
         assert (np.count_nonzero(mask) > 0) & np.array_equal(mask > 0, r.data.mask)
@@ -723,14 +721,14 @@ def test_masking(self, example: str) -> None:
         assert np.count_nonzero(~r.data.mask[mask > 0]) == 0
 
         # Test that shape of first dimension is ignored if equal to 1
-        r = gr.Raster(example)
+        r = gu.Raster(example)
         if r.data.shape[0] == 1:
             mask = (r.data.data == np.min(r.data.data)).squeeze()
             r.set_mask(mask)
             assert (np.count_nonzero(mask) > 0) & np.array_equal(mask > 0, r.data.mask.squeeze())
 
         # Test that proper issue is raised if shape is incorrect
-        r = gr.Raster(example)
+        r = gu.Raster(example)
         wrong_shape = np.array(r.data.shape) + 1
         mask = np.zeros(wrong_shape)
         with pytest.raises(ValueError, match="mask must be of the same shape as existing data*"):
@@ -747,7 +745,7 @@ def test_crop_and_getitem(self, data: list[str]) -> None:
         """Test for crop method, also called by square brackets through __getitem__"""
 
         raster_path, outlines_path = data
-        r = gr.Raster(raster_path)
+        r = gu.Raster(raster_path)
 
         # -- Test with cropGeom being a list/tuple -- ##
         cropGeom: list[float] = list(r.bounds)
@@ -919,7 +917,7 @@ def test_reproject(self, example: str) -> None:
         warnings.simplefilter("error")
 
         # Reference raster to be used
-        r = gr.Raster(example)
+        r = gu.Raster(example)
 
         # -- Check proper errors are raised if nodata are not set -- #
         r_nodata = r.copy()
@@ -972,7 +970,7 @@ def test_reproject(self, example: str) -> None:
 
         # data is cropped to the same extent
         new_data = r.data[:, rand_int::, rand_int::]
-        r2b = gr.Raster.from_array(data=new_data, transform=new_transform, crs=r.crs, nodata=r.nodata)
+        r2b = gu.Raster.from_array(data=new_data, transform=new_transform, crs=r.crs, nodata=r.nodata)
 
         # Create a raster with different resolution
         dst_res = r.res[0] * 2 / 3
@@ -1121,7 +1119,7 @@ def test_reproject(self, example: str) -> None:
         # Test that reproject works from self.ds and yield same result as from in-memory array
         # TO DO: fix issue that default behavior sets nodata to 255 and masks valid values
         r3 = r.reproject(dst_crs=out_crs, dst_nodata=0)
-        r = gr.Raster(example, load_data=False)
+        r = gu.Raster(example, load_data=False)
         r4 = r.reproject(dst_crs=out_crs, dst_nodata=0)
         assert r3.raster_equal(r4)
 
@@ -1151,7 +1149,7 @@ def test_reproject(self, example: str) -> None:
     def test_intersection(self, example: list[str]) -> None:
         """Check the behaviour of the intersection function"""
         # Load input raster
-        r = gr.Raster(example)
+        r = gu.Raster(example)
         bounds_orig: list[float] = list(r.bounds)
 
         # For the Landsat dataset, to avoid warnings with crop
@@ -1321,7 +1319,7 @@ def test_xy2ij_and_interp(self) -> None:
 
         # First, we try on a Raster with a Point interpretation in its "AREA_OR_POINT" metadata: values interpolated
         # at the center of pixel
-        r = gr.Raster(self.landsat_b4_path)
+        r = gu.Raster(self.landsat_b4_path)
         assert r.tags["AREA_OR_POINT"] == "Point"
         xmin, ymin, xmax, ymax = r.bounds
 
@@ -1397,7 +1395,7 @@ def test_xy2ij_and_interp(self) -> None:
 
         # Second, test after a crop: the Raster now has an Area interpretation, those should fall right on the integer
         # pixel indexes
-        r2 = gr.Raster(self.landsat_b4_crop_path)
+        r2 = gu.Raster(self.landsat_b4_crop_path)
         r.crop(r2)
         assert r.tags["AREA_OR_POINT"] == "Area"
 
@@ -1435,7 +1433,7 @@ def test_value_at_coords(self) -> None:
         # -- Tests 1: check based on indexed values --
 
         # Open raster
-        r = gr.Raster(self.landsat_b4_crop_path)
+        r = gu.Raster(self.landsat_b4_crop_path)
 
         # Random test point that raised an error
         itest0 = 118
@@ -1462,7 +1460,7 @@ def test_value_at_coords(self) -> None:
 
         # 2/ Band argument
         # Get the indexes for the multi-band Raster
-        r_multi = gr.Raster(self.landsat_rgb_path)
+        r_multi = gu.Raster(self.landsat_rgb_path)
         itest, jtest = r_multi.xy2ij(xtest0, ytest0)
         itest = itest[0]
         jtest = jtest[0]
@@ -1535,7 +1533,7 @@ def test_set_nodata(self, example: str) -> None:
         """
 
         # Read raster and save a copy to compare later
-        r = gr.Raster(example)
+        r = gu.Raster(example)
         r_copy = r.copy()
         old_nodata = r.nodata
         # We chose nodata that doesn't exist in the raster yet for both our examples (for uint8, the default value of
@@ -1776,7 +1774,7 @@ def test_default_nodata(self) -> None:
     def test_astype(self) -> None:
         warnings.simplefilter("error")
 
-        r = gr.Raster(self.landsat_b4_path)
+        r = gu.Raster(self.landsat_b4_path)
 
         # Test changing dtypes that does not modify the data
         for dtype in [np.uint8, np.uint16, np.float32, np.float64, "float32"]:
@@ -1831,7 +1829,7 @@ def test_show_cbar(self, example, figsize) -> None:
         Test cbar matches plot height.
         """
         # Plot raster with cbar
-        r0 = gr.Raster(example)
+        r0 = gu.Raster(example)
         fig, ax = plt.subplots(figsize=(figsize, figsize))
         r0.show(
             ax=ax,
@@ -1857,8 +1855,8 @@ def test_show_cbar(self, example, figsize) -> None:
     def test_show(self) -> None:
 
         # Read single band raster and RGB raster
-        img = gr.Raster(self.landsat_b4_path)
-        img_RGB = gr.Raster(self.landsat_rgb_path)
+        img = gu.Raster(self.landsat_b4_path)
+        img_RGB = gu.Raster(self.landsat_rgb_path)
 
         # Test default plot
         ax = plt.subplot(111)
@@ -1902,7 +1900,7 @@ def test_show(self) -> None:
     def test_save(self, example: str) -> None:
 
         # Read single band raster
-        img = gr.Raster(example)
+        img = gu.Raster(example)
 
         # Temporary folder
         temp_dir = tempfile.TemporaryDirectory()
@@ -1910,7 +1908,7 @@ def test_save(self, example: str) -> None:
         # Save file to temporary file, with defaults opts
         temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
         img.save(temp_file.name)
-        saved = gr.Raster(temp_file.name)
+        saved = gu.Raster(temp_file.name)
         assert img.raster_equal(saved)
 
         # Try to save with a pathlib path (create a new temp file for Windows)
@@ -1923,14 +1921,14 @@ def test_save(self, example: str) -> None:
         metadata = {"Type": "test"}
         temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
         img.save(temp_file.name, co_opts=co_opts, metadata=metadata)
-        saved = gr.Raster(temp_file.name)
+        saved = gu.Raster(temp_file.name)
         assert img.raster_equal(saved)
         assert saved.tags["Type"] == "test"
 
         # Test that nodata value is enforced when masking - since value 0 is not used, data should be unchanged
         temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
         img.save(temp_file.name, nodata=0)
-        saved = gr.Raster(temp_file.name)
+        saved = gu.Raster(temp_file.name)
         assert np.ma.allequal(img.data, saved.data)
         assert saved.nodata == 0
 
@@ -1940,7 +1938,7 @@ def test_save(self, example: str) -> None:
         if img.nodata is not None:
             temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
             img.save(temp_file.name)
-            saved = gr.Raster(temp_file.name)
+            saved = gu.Raster(temp_file.name)
             assert np.array_equal(img.data.mask, saved.data.mask)
 
         # Test that a warning is raised if nodata is not set and a mask exists (defined above)
@@ -1956,7 +1954,7 @@ def test_save(self, example: str) -> None:
 
     def test_coords(self) -> None:
 
-        img = gr.Raster(self.landsat_b4_path)
+        img = gu.Raster(self.landsat_b4_path)
         xx, yy = img.coords(offset="corner")
         assert xx.min() == pytest.approx(img.bounds.left)
         assert xx.max() == pytest.approx(img.bounds.right - img.res[0])
@@ -1985,7 +1983,7 @@ def test_value_at_coords2(self) -> None:
         """
         Check that values returned at selected pixels correspond to what is expected, both for original CRS and lat/lon.
         """
-        img = gr.Raster(self.landsat_b4_path)
+        img = gu.Raster(self.landsat_b4_path)
 
         # Lower right pixel
         x, y = [img.bounds.right - img.res[0], img.bounds.bottom + img.res[1]]
@@ -2006,23 +2004,23 @@ def test_from_array(self) -> None:
 
         # Test that from_array works if nothing is changed
         # -> most tests already performed in test_copy, no need for more
-        img = gr.Raster(self.landsat_b4_path)
-        out_img = gr.Raster.from_array(img.data, img.transform, img.crs, nodata=img.nodata)
+        img = gu.Raster(self.landsat_b4_path)
+        out_img = gu.Raster.from_array(img.data, img.transform, img.crs, nodata=img.nodata)
         assert out_img.raster_equal(img)
 
         # Test that changes to data are taken into account
         bias = 5
-        out_img = gr.Raster.from_array(img.data + bias, img.transform, img.crs, nodata=img.nodata)
+        out_img = gu.Raster.from_array(img.data + bias, img.transform, img.crs, nodata=img.nodata)
         assert np.ma.allequal(out_img.data, img.data + bias)
 
         # Test that nodata is properly taken into account
-        out_img = gr.Raster.from_array(img.data + 5, img.transform, img.crs, nodata=0)
+        out_img = gu.Raster.from_array(img.data + 5, img.transform, img.crs, nodata=0)
         assert out_img.nodata == 0
 
         # Test that data mask is taken into account
         img.data.mask = np.zeros((img.shape), dtype="bool")
         img.data.mask[0, 0, 0] = True
-        out_img = gr.Raster.from_array(img.data, img.transform, img.crs, nodata=0)
+        out_img = gu.Raster.from_array(img.data, img.transform, img.crs, nodata=0)
         assert out_img.data.mask[0, 0, 0]
 
     def test_type_hints(self) -> None:
@@ -2031,7 +2029,7 @@ def test_type_hints(self) -> None:
         temp_dir = tempfile.TemporaryDirectory()
         temp_path = os.path.join(temp_dir.name, "code.py")
 
-        # r = gr.Raster(self.landsat_b4_path)
+        # r = gu.Raster(self.landsat_b4_path)
 
         # Load the attributes to check
         attributes = ["transform", "crs", "nodata", "name", "driver", "is_loaded", "filename"]
@@ -2066,7 +2064,7 @@ def test_type_hints(self) -> None:
 
     def test_split_bands(self) -> None:
 
-        img = gr.Raster(self.landsat_rgb_path)
+        img = gu.Raster(self.landsat_rgb_path)
 
         red, green, blue = img.split_bands(copy=False)
 
@@ -2129,8 +2127,8 @@ def test_resampling_str(self) -> None:
             if "not a valid rasterio.enums.Resampling method" not in str(exception):
                 raise exception
 
-        img1 = gr.Raster(self.landsat_b4_path)
-        img2 = gr.Raster(self.landsat_b4_crop_path)
+        img1 = gu.Raster(self.landsat_b4_path)
+        img2 = gu.Raster(self.landsat_b4_crop_path)
         img1.set_nodata(0)
         img2.set_nodata(0)
 
@@ -2143,7 +2141,7 @@ def test_resampling_str(self) -> None:
     def test_polygonize(self, example: str) -> None:
         """Test that polygonize doesn't raise errors."""
 
-        img = gr.Raster(example)
+        img = gu.Raster(example)
 
         # -- Test 1: basic functioning of polygonize --
 
@@ -2157,7 +2155,7 @@ def test_polygonize(self, example: str) -> None:
 
         # Check that these two areas are approximately equal
         assert polygon_area == pytest.approx(pixel_area)
-        assert isinstance(polygonized, gv.Vector)
+        assert isinstance(polygonized, gu.Vector)
         assert polygonized.crs == img.crs
 
         # -- Test 2: data types --
@@ -2294,25 +2292,26 @@ def test_to_points(self) -> None:
         )
 
         # Sample the whole raster (fraction==1)
-        points = img1.to_points(1)
+        points = img1.to_points(1, as_array=True)
 
         # Validate that 25 points were sampled (equating to img1.height * img1.width) with x, y, and band0 values.
         assert isinstance(points, np.ndarray)
         assert points.shape == (25, 3)
         assert np.array_equal(np.asarray(points[:, 0]), np.tile(np.linspace(0.5, 4.5, 5), 5))
 
-        assert img1.to_points(0.2).shape == (5, 3)
+        assert img1.to_points(0.2, as_array=True).shape == (5, 3)
 
         img2 = gu.Raster(self.landsat_rgb_path, load_data=False)
 
-        points = img2.to_points(10)
+        points = img2.to_points(10, as_array=True)
 
         assert points.shape == (10, 5)
         assert not img2.is_loaded
 
-        points_frame = img2.to_points(10, as_frame=True)
+        points_frame = img2.to_points(10)
 
-        assert np.array_equal(points_frame.columns, ["b1", "b2", "b3", "geometry"])
+        assert isinstance(points_frame, gu.Vector)
+        assert np.array_equal(points_frame.ds.columns, ["b1", "b2", "b3", "geometry"])
         assert points_frame.crs == img2.crs
 
 
@@ -2452,16 +2451,16 @@ class TestArithmetic:
     # TODO: Add the case where a mask exists in the array, as in test_data_setter
     width = height = 5
     transform = rio.transform.from_bounds(0, 0, 1, 1, width, height)
-    r1 = gr.Raster.from_array(np.random.randint(1, 255, (height, width), dtype="uint8"), transform=transform, crs=None)
-    r2 = gr.Raster.from_array(np.random.randint(1, 255, (height, width), dtype="uint8"), transform=transform, crs=None)
+    r1 = gu.Raster.from_array(np.random.randint(1, 255, (height, width), dtype="uint8"), transform=transform, crs=None)
+    r2 = gu.Raster.from_array(np.random.randint(1, 255, (height, width), dtype="uint8"), transform=transform, crs=None)
 
     # Tests with different dtype
-    r1_f32 = gr.Raster.from_array(
+    r1_f32 = gu.Raster.from_array(
         np.random.randint(1, 255, (height, width)).astype("float32"), transform=transform, crs=None
     )
 
     # Test with nodata value set
-    r1_nodata = gr.Raster.from_array(
+    r1_nodata = gu.Raster.from_array(
         np.random.randint(1, 255, (height, width)).astype("float32"),
         transform=transform,
         crs=None,
@@ -2469,7 +2468,7 @@ class TestArithmetic:
     )
 
     # Test with 0 values
-    r2_zero = gr.Raster.from_array(
+    r2_zero = gu.Raster.from_array(
         np.random.randint(1, 255, (height, width)).astype("float32"),
         transform=transform,
         crs=None,
@@ -2478,20 +2477,20 @@ class TestArithmetic:
     r2_zero.data[0, 0, 0] = 0
 
     # Create rasters with different shape, crs or transforms for testing errors
-    r1_wrong_shape = gr.Raster.from_array(
+    r1_wrong_shape = gu.Raster.from_array(
         np.random.randint(0, 255, (height + 1, width)).astype("float32"),
         transform=transform,
         crs=None,
     )
 
-    r1_wrong_crs = gr.Raster.from_array(
+    r1_wrong_crs = gu.Raster.from_array(
         np.random.randint(0, 255, (height, width)).astype("float32"),
         transform=transform,
         crs=rio.crs.CRS.from_epsg(4326),
     )
 
     transform2 = rio.transform.from_bounds(0, 0, 2, 2, width, height)
-    r1_wrong_transform = gr.Raster.from_array(
+    r1_wrong_transform = gu.Raster.from_array(
         np.random.randint(0, 255, (height, width)).astype("float32"), transform=transform2, crs=None
     )
 
@@ -2633,7 +2632,7 @@ def test_ops_2args_expl(self, op: str) -> None:
         r3 = getattr(r1, op)(r2)
         ctype = np.find_common_type([r1.data.dtype, r2.data.dtype], [])
         numpy_output = getattr(r1.data.astype(ctype), op)(r2.data.astype(ctype))
-        assert isinstance(r3, gr.Raster)
+        assert isinstance(r3, gu.Raster)
         assert np.all(r3.data == numpy_output)
         assert r3.data.dtype == numpy_output.dtype
         if np.sum(r3.data.mask) == 0:
@@ -2647,7 +2646,7 @@ def test_ops_2args_expl(self, op: str) -> None:
         r1_copy = r1.copy()
         r2_copy = r2.copy()
         r3 = getattr(r1, op)(r2)
-        assert isinstance(r3, gr.Raster)
+        assert isinstance(r3, gu.Raster)
         assert r1.raster_equal(r1_copy)
         assert r2.raster_equal(r2_copy)
 
@@ -2683,7 +2682,7 @@ def test_ops_2args_expl(self, op: str) -> None:
         # Test with a numpy array
         r1 = self.r1_f32
         r3 = getattr(r1, op)(array)
-        assert isinstance(r3, gr.Raster)
+        assert isinstance(r3, gu.Raster)
         assert np.all(r3.data == getattr(r1.data, op)(array))
         if np.sum(r3.data.mask) == 0:
             assert r3.nodata is None
@@ -2692,7 +2691,7 @@ def test_ops_2args_expl(self, op: str) -> None:
 
         # Test with an integer
         r3 = getattr(r1, op)(intval)
-        assert isinstance(r3, gr.Raster)
+        assert isinstance(r3, gu.Raster)
         assert np.all(r3.data == getattr(r1.data, op)(intval))
         if np.sum(r3.data.mask) == 0:
             assert r3.nodata is None
@@ -2702,7 +2701,7 @@ def test_ops_2args_expl(self, op: str) -> None:
         # Test with a float value
         r3 = getattr(r1, op)(floatval)
         dtype = np.dtype(rio.dtypes.get_minimum_dtype(floatval))
-        assert isinstance(r3, gr.Raster)
+        assert isinstance(r3, gu.Raster)
         assert r3.data.dtype == dtype
         assert np.all(r3.data == getattr(r1.data, op)(np.array(floatval).astype(dtype)))
         if np.sum(r3.data.mask) == 0:
@@ -2712,7 +2711,7 @@ def test_ops_2args_expl(self, op: str) -> None:
 
         # Test with child class
         r3 = getattr(satimg, op)(intval)
-        assert isinstance(r3, gr.SatelliteImage)
+        assert isinstance(r3, gu.SatelliteImage)
 
     reflective_ops = [["__add__", "__radd__"], ["__mul__", "__rmul__"]]
 
@@ -2770,16 +2769,16 @@ def test_reflectivity(self, ops: list[str]) -> None:
     def from_array(
         cls: type[TestArithmetic],
         data: np.ndarray | np.ma.masked_array,
-        rst_ref: gr.RasterType,
+        rst_ref: gu.RasterType,
         nodata: int | float | list[int] | list[float] | None = None,
-    ) -> gr.Raster:
+    ) -> gu.Raster:
         """
         Generate a Raster from numpy array, with set georeferencing. Used for testing only.
         """
         if nodata is None:
             nodata = rst_ref.nodata
 
-        return gr.Raster.from_array(data, crs=rst_ref.crs, transform=rst_ref.transform, nodata=nodata)
+        return gu.Raster.from_array(data, crs=rst_ref.crs, transform=rst_ref.transform, nodata=nodata)
 
     def test_ops_2args_implicit(self) -> None:
         """
@@ -2979,7 +2978,7 @@ def test_numpy_functions(self, dtype: str) -> None:
         assert np.mean(raster) == 12.0
 
         # Check that rasters don't become arrays when using simple arithmetic.
-        assert isinstance(raster + 1, gr.Raster)
+        assert isinstance(raster + 1, gu.Raster)
 
         # Test the data setter method by creating a new array
         raster.data = array + 2
@@ -2990,7 +2989,7 @@ def test_numpy_functions(self, dtype: str) -> None:
         # Test
         raster += array
 
-        assert isinstance(raster, gr.Raster)
+        assert isinstance(raster, gu.Raster)
         assert np.median(raster) == 26.0
 
 
@@ -3102,7 +3101,7 @@ def test_array_ufunc_1nin_1nout(self, ufunc_str: str, nodata_init: None | str, d
 
         # Create Raster
         ma1 = np.ma.masked_array(data=self.arr1.astype(dtype), mask=self.mask1)
-        rst = gr.Raster.from_array(ma1, transform=self.transform, crs=None, nodata=nodata)
+        rst = gu.Raster.from_array(ma1, transform=self.transform, crs=None, nodata=nodata)
 
         # Get ufunc
         ufunc = getattr(np, ufunc_str)
@@ -3163,8 +3162,8 @@ def test_array_ufunc_2nin_1nout(
 
         ma1 = np.ma.masked_array(data=self.arr1.astype(dtype1), mask=self.mask1)
         ma2 = np.ma.masked_array(data=self.arr2.astype(dtype2), mask=self.mask2)
-        rst1 = gr.Raster.from_array(ma1, transform=self.transform, crs=None, nodata=nodata1)
-        rst2 = gr.Raster.from_array(ma2, transform=self.transform, crs=None, nodata=nodata2)
+        rst1 = gu.Raster.from_array(ma1, transform=self.transform, crs=None, nodata=nodata1)
+        rst2 = gu.Raster.from_array(ma2, transform=self.transform, crs=None, nodata=nodata2)
 
         ufunc = getattr(np, ufunc_str)
 
@@ -3238,7 +3237,7 @@ def test_array_functions_1nin(self, arrfunc_str: str, dtype: str, nodata_init: N
 
         # Create Raster
         ma1 = np.ma.masked_array(data=self.arr1.astype(dtype), mask=self.mask1)
-        rst = gr.Raster.from_array(ma1, transform=self.transform, crs=None, nodata=nodata)
+        rst = gu.Raster.from_array(ma1, transform=self.transform, crs=None, nodata=nodata)
 
         # Get array func
         arrfunc = getattr(np, arrfunc_str)
@@ -3266,12 +3265,19 @@ def test_array_functions_1nin(self, arrfunc_str: str, dtype: str, nodata_init: N
                 # For the median, the statistic is computed by masking the values through np.ma.median
                 output_rst = arrfunc(rst)
                 output_ma = np.ma.median(rst.data)
+            elif "gradient" in arrfunc_str:
+                # For the gradient, we need to take a single band
+                output_rst = arrfunc(rst)
+                output_ma = np.gradient(rst.data[0, :, :])
             else:
                 output_rst = arrfunc(rst)
                 output_ma = arrfunc(rst.data)
 
+            # Gradient is the only supported array function returning two arguments for now
+            if "gradient" in arrfunc_str:
+                assert np.ma.allequal(output_rst[0], output_ma[0]) and np.ma.allequal(output_rst[1], output_ma[1])
             # This test is for when the NumPy function reduces the dimension of the array but not completely
-            if isinstance(output_rst, np.ndarray):
+            elif isinstance(output_rst, np.ndarray):
                 assert np.ma.allequal(output_rst, output_ma)
             # This test is for when the NumPy function reduces the dimension to a single number
             else:
@@ -3305,8 +3311,8 @@ def test_array_functions_2nin(
 
         ma1 = np.ma.masked_array(data=self.arr1.astype(dtype1), mask=self.mask1)
         ma2 = np.ma.masked_array(data=self.arr2.astype(dtype2), mask=self.mask2)
-        rst1 = gr.Raster.from_array(ma1, transform=self.transform, crs=None, nodata=nodata1)
-        rst2 = gr.Raster.from_array(ma2, transform=self.transform, crs=None, nodata=nodata2)
+        rst1 = gu.Raster.from_array(ma1, transform=self.transform, crs=None, nodata=nodata1)
+        rst2 = gu.Raster.from_array(ma2, transform=self.transform, crs=None, nodata=nodata2)
 
         # Get array func
         arrfunc = getattr(np, arrfunc_str)
diff --git a/tests/test_satimg.py b/tests/test_satimg.py
index 6662cd075..4217555c6 100644
--- a/tests/test_satimg.py
+++ b/tests/test_satimg.py
@@ -9,8 +9,7 @@
 import pytest
 import rasterio as rio
 
-import geoutils
-import geoutils.georaster as gr
+import geoutils as gu
 from geoutils import examples
 
 DO_PLOT = False
@@ -28,18 +27,18 @@ def test_init(self, example: str) -> None:
         """
 
         # from filename, checking option
-        img = gr.SatelliteImage(example, read_from_fn=False)
-        img = gr.SatelliteImage(example)
-        assert isinstance(img, gr.SatelliteImage)
+        img = gu.SatelliteImage(example, read_from_fn=False)
+        img = gu.SatelliteImage(example)
+        assert isinstance(img, gu.SatelliteImage)
 
         # from SatelliteImage
-        img2 = gr.SatelliteImage(img)
-        assert isinstance(img2, gr.SatelliteImage)
+        img2 = gu.SatelliteImage(img)
+        assert isinstance(img2, gu.SatelliteImage)
 
         # from Raster
-        r = gr.Raster(example)
-        img3 = gr.SatelliteImage(r)
-        assert isinstance(img3, gr.SatelliteImage)
+        r = gu.Raster(example)
+        img3 = gu.SatelliteImage(r)
+        assert isinstance(img3, gu.SatelliteImage)
 
         assert img.raster_equal(img2)
         assert img.raster_equal(img3)
@@ -64,13 +63,13 @@ def __exit__(self, *args) -> None:  # type: ignore
                 sys.stdout = self._stdout
 
         with Capturing() as output1:
-            gr.SatelliteImage(example, silent=False)
+            gu.SatelliteImage(example, silent=False)
 
         # check the metadata reading outputs to console
         assert len(output1) > 0
 
         with Capturing() as output2:
-            gr.SatelliteImage(example, silent=True)
+            gu.SatelliteImage(example, silent=True)
 
         # check nothing outputs to console
         assert len(output2) == 0
@@ -82,22 +81,22 @@ def test_add_sub(self) -> None:
         # Create fake rasters with random values in 0-255 and dtype uint8
         width = height = 5
         transform = rio.transform.from_bounds(0, 0, 1, 1, width, height)
-        satimg1 = gr.SatelliteImage.from_array(
+        satimg1 = gu.SatelliteImage.from_array(
             np.random.randint(0, 255, (height, width), dtype="uint8"), transform=transform, crs=None
         )
-        satimg2 = gr.SatelliteImage.from_array(
+        satimg2 = gu.SatelliteImage.from_array(
             np.random.randint(0, 255, (height, width), dtype="uint8"), transform=transform, crs=None
         )
 
         # Check that output type is same - other tests are in test_georaster.py
         sat_out = -satimg1
-        assert isinstance(sat_out, gr.SatelliteImage)
+        assert isinstance(sat_out, gu.SatelliteImage)
 
         sat_out = satimg1 + satimg2
-        assert isinstance(sat_out, gr.SatelliteImage)
+        assert isinstance(sat_out, gu.SatelliteImage)
 
         sat_out = satimg1 - satimg2  # type: ignore
-        assert isinstance(sat_out, gr.SatelliteImage)
+        assert isinstance(sat_out, gu.SatelliteImage)
 
     @pytest.mark.parametrize("example", [landsat_b4, aster_dem])  # type: ignore
     def test_copy(self, example: str) -> None:
@@ -108,7 +107,7 @@ def test_copy(self, example: str) -> None:
         - if r is copied, r.data changed, r2.data should be unchanged
         """
         # Open dataset, update data and make a copy
-        r = gr.SatelliteImage(example)
+        r = gu.SatelliteImage(example)
         r.data += 5
         r2 = r.copy()
 
@@ -116,7 +115,7 @@ def test_copy(self, example: str) -> None:
         assert r is not r2
 
         # Check the object is a SatelliteImage
-        assert isinstance(r2, gr.SatelliteImage)
+        assert isinstance(r2, gu.SatelliteImage)
 
         # check all immutable attributes are equal
         georaster_attrs = [
@@ -135,7 +134,7 @@ def test_copy(self, example: str) -> None:
         satimg_attrs = ["satellite", "sensor", "product", "version", "tile_name", "datetime"]
         # using list directly available in Class
         attrs = georaster_attrs + satimg_attrs
-        all_attrs = attrs + gr.satimg.satimg_attrs
+        all_attrs = attrs + gu.georaster.satimg.satimg_attrs
         for attr in all_attrs:
             assert r.__getattribute__(attr) == r2.__getattribute__(attr)
 
@@ -192,7 +191,7 @@ def test_filename_parsing(self) -> None:
         ]
 
         for names in copied_names:
-            attrs = geoutils.georaster.satimg.parse_metadata_from_fn(names)
+            attrs = gu.georaster.satimg.parse_metadata_from_fn(names)
             i = copied_names.index(names)
             assert satellites[i] == attrs[0]
             assert sensors[i] == attrs[1]
@@ -207,17 +206,17 @@ def test_sw_tile_naming_parsing(self) -> None:
         test_latlon = [(14, -65), (-14, 65), (14, -65), (14, -65), (14, -65), (0, 0)]
 
         for tile in test_tiles:
-            assert geoutils.georaster.satimg.sw_naming_to_latlon(tile)[0] == test_latlon[test_tiles.index(tile)][0]
-            assert geoutils.georaster.satimg.sw_naming_to_latlon(tile)[1] == test_latlon[test_tiles.index(tile)][1]
+            assert gu.georaster.satimg.sw_naming_to_latlon(tile)[0] == test_latlon[test_tiles.index(tile)][0]
+            assert gu.georaster.satimg.sw_naming_to_latlon(tile)[1] == test_latlon[test_tiles.index(tile)][1]
 
         for latlon in test_latlon:
-            assert geoutils.georaster.satimg.latlon_to_sw_naming(latlon) == test_tiles[test_latlon.index(latlon)]
+            assert gu.georaster.satimg.latlon_to_sw_naming(latlon) == test_tiles[test_latlon.index(latlon)]
 
         # check possible exceptions, rounded lat/lon belong to their southwest border
-        assert geoutils.georaster.satimg.latlon_to_sw_naming((0, 0)) == "N00E000"
+        assert gu.georaster.satimg.latlon_to_sw_naming((0, 0)) == "N00E000"
         # those are the same point, should give same naming
-        assert geoutils.georaster.satimg.latlon_to_sw_naming((-90, 0)) == "S90E000"
-        assert geoutils.georaster.satimg.latlon_to_sw_naming((90, 0)) == "S90E000"
+        assert gu.georaster.satimg.latlon_to_sw_naming((-90, 0)) == "S90E000"
+        assert gu.georaster.satimg.latlon_to_sw_naming((90, 0)) == "S90E000"
         # same here
-        assert geoutils.georaster.satimg.latlon_to_sw_naming((0, -180)) == "N00W180"
-        assert geoutils.georaster.satimg.latlon_to_sw_naming((0, 180)) == "N00W180"
+        assert gu.georaster.satimg.latlon_to_sw_naming((0, -180)) == "N00W180"
+        assert gu.georaster.satimg.latlon_to_sw_naming((0, 180)) == "N00W180"

From 3d22013a85897eed5cfe0c177eaa665bba8e252b Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Feb 2023 16:13:47 -0800
Subject: [PATCH 050/184] Fix tests

---
 doc/source/api.md            |  2 +-
 geoutils/georaster/raster.py |  6 ++---
 geoutils/georaster/satimg.py | 50 +++++++++++++++++++++++++++++++++---
 geoutils/geovector.py        |  9 ++++---
 tests/test_georaster.py      | 24 ++++++++---------
 tests/test_geovector.py      |  2 +-
 6 files changed, 69 insertions(+), 24 deletions(-)

diff --git a/doc/source/api.md b/doc/source/api.md
index 459281cda..f3e81ec95 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -144,7 +144,7 @@ documentation.
     :toctree: gen_modules/
 
     Raster.raster_equal
-    Raster.equal_georeferenced_grid
+    Raster.georeferenced_grid_equal
 ```
 
 ### Arithmetic with other rasters, arrays or numbers
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 7aa3fa8a0..7fdfdb481 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -677,7 +677,7 @@ def __getitem__(self, value: Raster | Vector | list[float] | tuple[float, ...])
         """Subset the Raster object: calls the crop method with default parameters"""
 
         # If input is Mask with the same shape and georeferencing, index in 1D
-        if isinstance(value, Mask) and self.equal_georeferenced_grid(value):
+        if isinstance(value, Mask) and self.georeferenced_grid_equal(value):
             return self.data[value.data]
 
         # Otherwise, subset with crop
@@ -1375,7 +1375,7 @@ def copy(self: RasterType, new_array: np.ndarray | None = None) -> RasterType:
 
         return cp
 
-    def equal_georeferenced_grid(self: RasterType, raster: RasterType) -> bool:
+    def georeferenced_grid_equal(self: RasterType, raster: RasterType) -> bool:
         """
         Check that grid shape, geotransform and CRS are equal.
 
@@ -2309,7 +2309,7 @@ def format_value(value: Any) -> Any:
                 if window is not None:
                     value = reducer_function(value.flatten())
                 else:
-                    value = value[0, 0, 0]
+                    value = value[0, 0]
             else:
                 value = None
             return value
diff --git a/geoutils/georaster/satimg.py b/geoutils/georaster/satimg.py
index 70a90690d..cbb732105 100644
--- a/geoutils/georaster/satimg.py
+++ b/geoutils/georaster/satimg.py
@@ -25,7 +25,7 @@ def parse_landsat(gname: str) -> list[Any]:
         attrs.append(lsat_sensor[gname[1]])
         attrs.append(None)
         attrs.append(None)
-        attrs.append((int(gname[3:6]), int(gname[6:9])))
+        attrs.append((gname[3:6] + gname[6:9]))
         year = int(gname[9:13])
         doy = int(gname[13:16])
         attrs.append(dt.datetime.fromordinal(dt.date(year - 1, 12, 31).toordinal() + doy))
@@ -35,7 +35,7 @@ def parse_landsat(gname: str) -> list[Any]:
         attrs.append(lsat_sensor[split_name[0][1]])
         attrs.append(None)
         attrs.append(None)
-        attrs.append((int(split_name[2][0:3]), int(split_name[2][3:6])))
+        attrs.append((split_name[2][0:3] + split_name[2][3:6]))
         attrs.append(dt.datetime.strptime(split_name[3], "%Y%m%d"))
         attrs.append(attrs[3].date())
     return attrs
@@ -354,7 +354,7 @@ def __parse_metadata_from_fn(self, silent: bool = False) -> None:
                 if not silent:
                     print("From filename: setting " + name + " as " + str(attr_fn))
                 # Set hidden attribute first
-                setattr(self, "_"+name, attr_fn)
+                setattr(self, name, attr_fn)
             elif attr is not None and attrs[name_attrs.index(name)] is not None:
                 if not silent:
                     print(
@@ -367,30 +367,74 @@ def __parse_metadata_from_fn(self, silent: bool = False) -> None:
                         + "from filename"
                     )
 
+
+
     @property
     def datetime(self) -> dt.datetime | None:
         return self._datetime
 
+    @datetime.setter
+    def datetime(self, value: dt.datetime | None) -> None:
+        if isinstance(value, (dt.datetime, np.datetime64)) or value is None:
+            self._datetime = value
+        else:
+            raise ValueError('Datetime must be set with a python or NumPy datetime.')
+
     @property
     def satellite(self) -> str | None:
         return self._satellite
 
+    @satellite.setter
+    def satellite(self, value: str | None) -> None:
+        if isinstance(value, str) or value is None:
+            self._satellite = value
+        else:
+            raise ValueError('Satellite must be set with a string.')
+
     @property
     def sensor(self) -> str | None:
         return self._sensor
 
+    @sensor.setter
+    def sensor(self, value: str | None) -> None:
+        if isinstance(value, str) or value is None:
+            self._sensor = value
+        else:
+            raise ValueError('Sensor must be set with a string.')
+
     @property
     def product(self) -> str | None:
         return self._product
 
+    @product.setter
+    def product(self, value: str | None) -> None:
+        if isinstance(value, str) or value is None:
+            self._product = value
+        else:
+            raise ValueError('Product must be set with a string.')
+
     @property
     def version(self) -> str | None:
         return self._version
 
+    @version.setter
+    def version(self, value: str | None) -> None:
+        if isinstance(value, str) or value is None:
+            self._version = value
+        else:
+            raise ValueError('Version must be set with a string.')
+
     @property
     def tile_name(self) -> str | None:
         return self._tile_name
 
+    @tile_name.setter
+    def tile_name(self, value: str | None) -> None:
+        if isinstance(value, str) or value is None:
+            self._tile_name = value
+        else:
+            raise ValueError('Tile name must be set with a string.')
+
     def __parse_metadata_from_file(self, fn_meta: str | None) -> None:
         warnings.warn(f"Parse metadata from file not implemented. {fn_meta}")
 
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index d4dfec24f..98166d106 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -293,15 +293,16 @@ def crop(
 
         # Need to separate the two options, inplace update
         if inplace:
-            self.ds = self.ds.cx[xmin:xmax, ymin:ymax]
+            self._ds = self.ds.cx[xmin:xmax, ymin:ymax]
             if clip:
-                self.ds = self.ds.clip(mask=(xmin, ymin, xmax, ymax))
+                self._ds = self.ds.clip(mask=(xmin, ymin, xmax, ymax))
             return None
         # Or create a copy otherwise
         else:
             new_vector = self.copy()
-            new_vector.ds = new_vector.ds.cx[xmin:xmax, ymin:ymax]
-            new_vector.ds = new_vector.ds.clip(mask=(xmin, ymin, xmax, ymax))
+            new_vector._ds = new_vector.ds.cx[xmin:xmax, ymin:ymax]
+            if clip:
+                new_vector._ds = new_vector.ds.clip(mask=(xmin, ymin, xmax, ymax))
             return new_vector
 
     def reproject(
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 32bfa98c5..05ef4cf3c 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -2263,7 +2263,7 @@ def test_proximity_parameters(self) -> None:
         prox1 = raster1.proximity()
 
         # The raster should have the same extent, resolution and CRS
-        assert raster1.equal_georeferenced_grid(prox1)
+        assert raster1.georeferenced_grid_equal(prox1)
 
         # It should change with target values specified
         prox2 = raster1.proximity(target_values=[255])
@@ -2549,49 +2549,49 @@ def test_equal_georeferenced_grid(self) -> None:
         # -- Test 1: based on a copy --
         r1 = self.r1
         r2 = r1.copy()
-        assert r1.equal_georeferenced_grid(r2)
+        assert r1.georeferenced_grid_equal(r2)
 
         # Change data
         r2.data += 1
-        assert r1.equal_georeferenced_grid(r2)
+        assert r1.georeferenced_grid_equal(r2)
 
         # Change mask (False by default)
         r2 = r1.copy()
         r2.data[0, 0] = np.ma.masked
-        assert r1.equal_georeferenced_grid(r2)
+        assert r1.georeferenced_grid_equal(r2)
 
         # Change fill_value (999999 by default)
         r2 = r1.copy()
         r2.data.fill_value = 0
-        assert r1.equal_georeferenced_grid(r2)
+        assert r1.georeferenced_grid_equal(r2)
 
         # Change dtype
         r2 = r1.copy()
         r2 = r2.astype("float32")
-        assert r1.equal_georeferenced_grid(r2)
+        assert r1.georeferenced_grid_equal(r2)
 
         # Change transform
         r2 = r1.copy()
         r2.transform = rio.transform.from_bounds(0, 0, 1, 1, self.width + 1, self.height)
-        assert not r1.equal_georeferenced_grid(r2)
+        assert not r1.georeferenced_grid_equal(r2)
 
         # Change CRS
         r2 = r1.copy()
         r2.crs = rio.crs.CRS.from_epsg(4326)
-        assert not r1.equal_georeferenced_grid(r2)
+        assert not r1.georeferenced_grid_equal(r2)
 
         # Change nodata
         r2 = r1.copy()
         r2.set_nodata(34)
-        assert r1.equal_georeferenced_grid(r2)
+        assert r1.georeferenced_grid_equal(r2)
 
         # -- Test 2: based on another Raster with one different georeferenced grid attribute --
 
-        assert not r1.equal_georeferenced_grid(self.r1_wrong_crs)
+        assert not r1.georeferenced_grid_equal(self.r1_wrong_crs)
 
-        assert not r1.equal_georeferenced_grid(self.r1_wrong_shape)
+        assert not r1.georeferenced_grid_equal(self.r1_wrong_shape)
 
-        assert not r1.equal_georeferenced_grid(self.r1_wrong_transform)
+        assert not r1.georeferenced_grid_equal(self.r1_wrong_transform)
 
     # List of operations with two operands
     ops_2args = [
diff --git a/tests/test_geovector.py b/tests/test_geovector.py
index 552bcb22d..27f5cb26f 100644
--- a/tests/test_geovector.py
+++ b/tests/test_geovector.py
@@ -192,7 +192,7 @@ def test_proximity(self) -> None:
         prox1 = vector.proximity(raster=raster1)
 
         # The proximity should have the same extent, resolution and CRS
-        assert raster1.equal_georeferenced_grid(prox1)
+        assert raster1.georeferenced_grid_equal(prox1)
 
         # With the base geometry
         vector.proximity(raster=raster1, geometry_type="geometry")

From 0e5842641938b6340abc7b3e552203f0b55dac1a Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Feb 2023 16:55:32 -0800
Subject: [PATCH 051/184] Linting

---
 doc/source/about_geoutils.md                  |  32 ++---
 doc/source/api.md                             |  20 +--
 doc/source/conf.py                            |  33 +++--
 doc/source/core_array_funcs.md                |  22 +--
 doc/source/core_composition.md                |  28 ++--
 doc/source/core_index.md                      |   4 +-
 doc/source/core_inheritance.md                |  18 +--
 doc/source/core_lazy_load.md                  |  17 +--
 doc/source/core_match_ref.md                  |  41 +++---
 doc/source/core_py_ops.md                     |  34 ++---
 doc/source/index.md                           |  18 +--
 doc/source/mask_class.md                      |  26 ++--
 doc/source/proj_tools.md                      |   2 +-
 doc/source/quick_start.md                     |  68 ++++-----
 doc/source/raster_class.md                    |  71 +++++-----
 doc/source/rasters_index.md                   |   4 +-
 doc/source/satimg_class.md                    |   6 +-
 doc/source/vector_class.md                    |   4 +-
 doc/source/vectors_index.md                   |   2 +-
 examples/analysis/README.rst                  |   2 +-
 examples/analysis/array_numerics/README.rst   |   2 +-
 .../array_numerics/numpy_interfacing.py       |   7 +-
 .../array_numerics/python_arithmetic.py       |   7 +-
 examples/analysis/geospatial/README.rst       |   2 +-
 .../analysis/geospatial/buffer_voronoi.py     |  10 +-
 .../analysis/geospatial/proximity_metric.py   |   7 +-
 examples/analysis/point_extraction/README.rst |   2 +-
 .../point_extraction/interpolation.py         |  10 +-
 .../analysis/point_extraction/reduction.py    |  12 +-
 examples/handling/README.rst                  |   2 +-
 examples/handling/georeferencing/README.rst   |   2 +-
 .../handling/georeferencing/crop_raster.py    |   8 +-
 .../handling/georeferencing/crop_vector.py    |  14 +-
 .../handling/georeferencing/reproj_raster.py  |   4 +-
 .../handling/georeferencing/reproj_vector.py  |   8 +-
 examples/handling/interface/README.rst        |   2 +-
 examples/handling/interface/create_mask.py    |   3 +-
 examples/handling/interface/polygonize.py     |   5 +-
 examples/handling/interface/rasterize.py      |   3 +-
 examples/handling/interface/topoints.py       |   3 +-
 examples/io/README.rst                        |   2 +-
 examples/io/import_export/README.rst          |   2 +-
 examples/io/import_export/from_array.py       |  21 +--
 examples/io/import_export/import_raster.py    |   5 +-
 examples/io/import_export/import_vector.py    |   3 +-
 examples/io/open_save/README.rst              |   2 +-
 examples/io/open_save/read_raster.py          |   3 +-
 examples/io/open_save/read_satimg.py          |   1 +
 examples/io/open_save/read_vector.py          |   2 +-
 geoutils/georaster/__init__.py                |   2 +-
 geoutils/georaster/raster.py                  | 134 ++++++++++++------
 geoutils/georaster/satimg.py                  |  18 ++-
 geoutils/geovector.py                         | 125 ++++++++++------
 tests/test_docs.py                            |   1 -
 54 files changed, 496 insertions(+), 390 deletions(-)

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index 67734efd7..118744680 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -4,19 +4,19 @@
 
 ## What is GeoUtils?
 
-GeoUtils<sup>1</sup> is a **[Python](https://www.python.org/) package for the handling and analysis of georeferenced data**, developed with the objective of 
-making such analysis accessible, efficient and reliable. 
+GeoUtils<sup>1</sup> is a **[Python](https://www.python.org/) package for the handling and analysis of georeferenced data**, developed with the objective of
+making such analysis accessible, efficient and reliable.
 
 ```{margin}
 <sup>1</sup>With name standing for *Geospatial Utilities*.
 ```
 
-In a few words, GeoUtils can be described as a **convenience wrapper package for end-users** focusing on geospatial analysis. It allows to write shorter 
-code through consistent higher-level operations, implicit object behaviour and numerical interfacing. In addition, GeoUtils adds **analysis-oriented 
+In a few words, GeoUtils can be described as a **convenience wrapper package for end-users** focusing on geospatial analysis. It allows to write shorter
+code through consistent higher-level operations, implicit object behaviour and numerical interfacing. In addition, GeoUtils adds **analysis-oriented
 functions** that require many steps to perform with other packages, and which are robustly tested.
 
-GeoUtils is designed for all Earth and planetary observation science. However, it is generally **most useful for remote sensing and Earth's surface 
-applications** that rely on moderate- to high-resolution georeferenced data. All applications that, for analysis, require robust reprojections, re-gridding, 
+GeoUtils is designed for all Earth and planetary observation science. However, it is generally **most useful for remote sensing and Earth's surface
+applications** that rely on moderate- to high-resolution georeferenced data. All applications that, for analysis, require robust reprojections, re-gridding,
 point interpolation, and other types of fine-grid analysis with millions of pixels.
 
 
@@ -28,8 +28,8 @@ We are working on making features fully consistent for the first long-term relea
 
 ## Why use GeoUtils?
 
-GeoUtils is built on top of [Rasterio](https://rasterio.readthedocs.io/en/latest/), [GeoPandas](https://geopandas.org/en/stable/docs.html) 
-and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) for georeferenced operations, and relies on [NumPy](https://numpy.org/doc/stable/), 
+GeoUtils is built on top of [Rasterio](https://rasterio.readthedocs.io/en/latest/), [GeoPandas](https://geopandas.org/en/stable/docs.html)
+and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) for georeferenced operations, and relies on [NumPy](https://numpy.org/doc/stable/),
 [SciPy](https://docs.scipy.org/doc/scipy/) and [Xarray](https://docs.xarray.dev/en/stable/) for scientific computing to provide:
 - A **common and consistent framework** for efficient rasters and vectors handling,
 - A structure following the **principal of least knowledge**<sup>2</sup> to foster accessibility,
@@ -53,19 +53,19 @@ More on these core features of GeoUtils in the {ref}`quick-start`, or {ref}`core
 
 ## Why the need for GeoUtils?
 
-Recent community efforts have improved open-source geospatial analysis in Python, allowing to **move away from the low-level functions and 
+Recent community efforts have improved open-source geospatial analysis in Python, allowing to **move away from the low-level functions and
 complexity of [GDAL and OGR](https://gdal.org/)**'s Python bindings for raster and vector handling. Those efforts include in particular [Rasterio](https://rasterio.readthedocs.io/en/latest/) and [GeoPandas](https://geopandas.org/en/stable/docs.html).
 
-However, these new packages still maintain a relatively low-level API to serve all types of geospatial informatics users, **slowing down end-users focusing 
-on data analysis**. As a result, interfacing between vector data and raster data is delicate and simple higher-level operation (such as 
+However, these new packages still maintain a relatively low-level API to serve all types of geospatial informatics users, **slowing down end-users focusing
+on data analysis**. As a result, interfacing between vector data and raster data is delicate and simple higher-level operation (such as
 reprojection to match a reference) are not always computed consistently in the community.
 
-Additionally, [Rasterio](https://rasterio.readthedocs.io/en/latest/) focuses mostly on reading, projecting and writing, and thus **requires array extraction 
-and re-encapsulation** either before, during or after any numerical computation to interface with other georeferencing packages. 
+Additionally, [Rasterio](https://rasterio.readthedocs.io/en/latest/) focuses mostly on reading, projecting and writing, and thus **requires array extraction
+and re-encapsulation** either before, during or after any numerical computation to interface with other georeferencing packages.
 
-Finally, **many common geospatial analysis tools are generally unavailable** in existing packages (e.g., boolean-masking from vectors, 
-[proximity](https://gdal.org/programs/gdal_proximity.html) estimation, metric buffering) as they rely on a combination of lower-level operations. 
+Finally, **many common geospatial analysis tools are generally unavailable** in existing packages (e.g., boolean-masking from vectors,
+[proximity](https://gdal.org/programs/gdal_proximity.html) estimation, metric buffering) as they rely on a combination of lower-level operations.
 
 ```{admonition} Conclusion
 Having higher-level geospatial tools implemented in a **consistent** manner and tested for **robustness** is essential for the wider geospatial community.
-```
\ No newline at end of file
+```
diff --git a/doc/source/api.md b/doc/source/api.md
index f3e81ec95..743207566 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -1,8 +1,8 @@
 (api)=
 # API reference
 
-This page provides an auto-generated summary of GeoUtils’ API. 
-For more details and examples, refer to the relevant chapters in the main part of the 
+This page provides an auto-generated summary of GeoUtils’ API.
+For more details and examples, refer to the relevant chapters in the main part of the
 documentation.
 
 ```{eval-rst}
@@ -106,9 +106,9 @@ documentation.
     Raster.astype
     Raster.set_mask
     Raster.set_nodata
-    Raster.get_nanarray    
+    Raster.get_nanarray
 ```
-    
+
 ### I/O methods
 
 ```{eval-rst}
@@ -134,7 +134,7 @@ documentation.
     Raster.shift
     Raster.get_bounds_projected
     Raster.intersection
-    Raster.outside_image   
+    Raster.outside_image
 ```
 
 ### Testing methods
@@ -160,7 +160,7 @@ documentation.
     Raster.__truediv__
     Raster.__floordiv__
     Raster.__mod__
-    Raster.__pow__    
+    Raster.__pow__
 ```
 
 And reverse operations.
@@ -176,7 +176,7 @@ And reverse operations.
     Raster.__lt__
     Raster.__le__
     Raster.__gt__
-    Raster.__ge__ 
+    Raster.__ge__
 ```
 
 ### Array interface with NumPy
@@ -186,7 +186,7 @@ And reverse operations.
     :toctree: gen_modules/
 
     Raster.__array_ufunc__
-    Raster.__array_function__  
+    Raster.__array_function__
 ```
 
 ## SatelliteImage
@@ -311,5 +311,5 @@ And reverse operations.
 ```{eval-rst}
 .. autosummary::
     :toctree: gen_modules/
-    
-    Vector.get_bounds_projected 
\ No newline at end of file
+
+    Vector.get_bounds_projected
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 9fe4305d0..34168b40b 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -31,14 +31,14 @@
     "matplotlib.sphinxext.plot_directive",  # Render matplotlib figures from code.
     "sphinx.ext.autosummary",  # Create API doc summary texts from the docstrings.
     "sphinx.ext.inheritance_diagram",  # For class inheritance diagrams.
-    "sphinx.ext.graphviz", # To render graphviz diagrams.
-    "sphinx_design", # To render nice blocks
+    "sphinx.ext.graphviz",  # To render graphviz diagrams.
+    "sphinx_design",  # To render nice blocks
     "sphinx_autodoc_typehints",  # Include type hints in the API documentation.
     "sphinxcontrib.programoutput",
     "sphinx_gallery.gen_gallery",  # Examples gallery
     "sphinx.ext.intersphinx",
     # "myst_parser",  !! Not needed with myst_nb !! # Form of Markdown that works with sphinx, used a lot by the Sphinx Book Theme
-    "myst_nb" # MySt for rendering Jupyter notebook in documentation
+    "myst_nb",  # MySt for rendering Jupyter notebook in documentation
 ]
 
 # For sphinx design to work properly
@@ -55,7 +55,7 @@
     "geopandas": ("https://geopandas.org/en/stable", None),
     "xarray": ("https://docs.xarray.dev/en/stable/", None),
     "xdem": ("https://xdem.readthedocs.io/en/latest", None),
-    "rioxarray": ("https://corteva.github.io/rioxarray/stable/", None)
+    "rioxarray": ("https://corteva.github.io/rioxarray/stable/", None),
 }
 
 sphinx_gallery_conf = {
@@ -64,7 +64,11 @@
         os.path.join(os.path.dirname(__file__), "../", "../", "examples/handling"),
         os.path.join(os.path.dirname(__file__), "../", "../", "examples/analysis"),
     ],  # path to your example scripts
-    "gallery_dirs": ["io_examples", "handling_examples", "analysis_examples"],  # path to where to save gallery generated output
+    "gallery_dirs": [
+        "io_examples",
+        "handling_examples",
+        "analysis_examples",
+    ],  # path to where to save gallery generated output
     "inspect_global_variables": True,  # Make links to the class/function definitions.
     "reference_url": {
         # The module you locally document uses None
@@ -82,15 +86,19 @@
 }
 
 # For matplotlib figures generate with sphinx plot: (suffix, dpi)
-plot_formats = [('.png', 400)]
+plot_formats = [(".png", 400)]
 
 # To avoid long path names in inheritance diagrams
-inheritance_alias = {"geoutils.georaster.raster.Raster": "geoutils.Raster", "geoutils.georaster.raster.Mask": "geoutils.Mask",
-                     "geoutils.georaster.satimg.SatelliteImage": "geoutils.SatelliteImage", "geoutils.geovector.Vector": "geoutils.Vector",
-                     "xdem.dem.DEM": "xdem.DEM"}
+inheritance_alias = {
+    "geoutils.georaster.raster.Raster": "geoutils.Raster",
+    "geoutils.georaster.raster.Mask": "geoutils.Mask",
+    "geoutils.georaster.satimg.SatelliteImage": "geoutils.SatelliteImage",
+    "geoutils.geovector.Vector": "geoutils.Vector",
+    "xdem.dem.DEM": "xdem.DEM",
+}
 
 # To avoid fuzzy PNGs
-graphviz_output_format = 'svg'
+graphviz_output_format = "svg"
 
 # Add any paths that contain templates here, relative to this directory.
 templates_path = [os.path.join(os.path.dirname(__file__), "_templates")]
@@ -118,6 +126,7 @@ def setup(app):
     # Ignore .ipynb files
     app.registry.source_suffix.pop(".ipynb", None)
 
+
 # -- Options for HTML output -------------------------------------------------
 
 # The theme to use for HTML and HTML Help pages.  See the documentation for
@@ -137,10 +146,10 @@ def setup(app):
 
 # html_logo = "path/to/myimage.png"
 
-html_static_path = ['_static']
+html_static_path = ["_static"]
 
 html_css_files = [
-    'css/custom.css',
+    "css/custom.css",
 ]
 
 # Add any paths that contain custom static files (such as style sheets) here,
diff --git a/doc/source/core_array_funcs.md b/doc/source/core_array_funcs.md
index b3148d5d3..05dfa9a8a 100644
--- a/doc/source/core_array_funcs.md
+++ b/doc/source/core_array_funcs.md
@@ -7,23 +7,23 @@ kernelspec:
 
 # Masked-array NumPy interface
 
-NumPy possesses an [array interface](https://numpy.org/doc/stable/reference/arrays.interface.html) that allows to properly map their functions on objects 
+NumPy possesses an [array interface](https://numpy.org/doc/stable/reference/arrays.interface.html) that allows to properly map their functions on objects
 that depend on {class}`ndarrays<numpy.ndarray>`.
 
 GeoUtils utilizes this interface to work with all {class}`Rasters<geoutils.Raster>` and their subclasses.
 
 ## Universal functions
 
-A first category of NumPy functions supported by {class}`Rasters<geoutils.Raster>` through the array interface is that of  
-[universal functions](https://numpy.org/doc/stable/reference/ufuncs.html), which operate on {class}`ndarrays<numpy.ndarray>` in an element-by-element 
-fashion. Examples of such functions are {func}`~numpy.add`, {func}`~numpy.absolute`, {func}`~numpy.isnan` or {func}`~numpy.sin`, and they number at more 
+A first category of NumPy functions supported by {class}`Rasters<geoutils.Raster>` through the array interface is that of
+[universal functions](https://numpy.org/doc/stable/reference/ufuncs.html), which operate on {class}`ndarrays<numpy.ndarray>` in an element-by-element
+fashion. Examples of such functions are {func}`~numpy.add`, {func}`~numpy.absolute`, {func}`~numpy.isnan` or {func}`~numpy.sin`, and they number at more
 than 90.
 
-Universal functions can take one or two inputs, and return one or two outputs. Through GeoUtils, as long as one of the two inputs is a {class}`Rasters<geoutils.Raster>`, 
+Universal functions can take one or two inputs, and return one or two outputs. Through GeoUtils, as long as one of the two inputs is a {class}`Rasters<geoutils.Raster>`,
 the output will be a {class}`~geoutils.Raster`. If there is a second input, it can be a {class}`~geoutils.Raster` or {class}`~numpy.ndarray` with
 matching georeferencing or shape, respectively.
 
-These functions inherently support the casting of different {attr}`~geoutils.Raster.dtypes` and values masked by {attr}`~geoutils.Raster.nodata` in the 
+These functions inherently support the casting of different {attr}`~geoutils.Raster.dtypes` and values masked by {attr}`~geoutils.Raster.nodata` in the
 {class}`~numpy.ma.MaskedArray`.
 
 Below, we re-use the same example created in {ref}`core-py-ops`.
@@ -67,7 +67,7 @@ np.add(arr, raster)
 np.modf(raster)
 ```
 
-Similar to with Python operators, NumPy's [logical comparison functions](https://numpy.org/doc/stable/reference/ufuncs.html#comparison-functions) cast 
+Similar to with Python operators, NumPy's [logical comparison functions](https://numpy.org/doc/stable/reference/ufuncs.html#comparison-functions) cast
 {class}`Rasters<geoutils.Raster>` to a {class}`~geoutils.Mask`.
 
 ```{code-cell} ipython3
@@ -77,8 +77,8 @@ np.greater(raster, raster + np.random.normal(size=np.shape(arr)))
 
 ## Array functions
 
-The second and last category of NumPy array functions supported by {class}`Rasters<geoutils.Raster>` through the array interface is that of array functions, 
-which are all other non-universal functions that can be applied to an array. Those function always modify the dimensionality of the output, such as 
+The second and last category of NumPy array functions supported by {class}`Rasters<geoutils.Raster>` through the array interface is that of array functions,
+which are all other non-universal functions that can be applied to an array. Those function always modify the dimensionality of the output, such as
 {func}`~numpy.mean`, {func}`~numpy.count_nonzero` or {func}`~numpy.nanmax`. Consequently, the output is the same as it would be with {class}`ndarrays<numpy.ndarray>`.
 
 
@@ -99,9 +99,9 @@ np.count_nonzero(raster, axis=2)
 
 
 Not all array functions are supported, however. GeoUtils supports nearly all [mathematical functions](https://numpy.org/doc/stable/reference/routines.math.html),
-[masked-array functions](https://numpy.org/doc/stable/reference/routines.ma.html) and [logical functions](https://numpy.org/doc/stable/reference/routines.logic.html). 
+[masked-array functions](https://numpy.org/doc/stable/reference/routines.ma.html) and [logical functions](https://numpy.org/doc/stable/reference/routines.logic.html).
 A full list of supported array function is available in {attr}`geoutils.georaster.raster.handled_array_funcs`.
 
 ## Respecting masked values
 
-TODO: finalize once masked-array recursion bug is fixed
\ No newline at end of file
+TODO: finalize once masked-array recursion bug is fixed
diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
index 5aeb36ee8..6e5f69cae 100644
--- a/doc/source/core_composition.md
+++ b/doc/source/core_composition.md
@@ -8,9 +8,9 @@ kernelspec:
 # Composition from Rasterio and GeoPandas
 
 GeoUtils' main classes {class}`~geoutils.Raster` and {class}`~geoutils.Vector` are linked to [Rasterio](https://rasterio.readthedocs.io/en/latest/) and
-[GeoPandas](https://geopandas.org/en/stable/docs.html), respectively, through class composition. 
+[GeoPandas](https://geopandas.org/en/stable/docs.html), respectively, through class composition.
 
-They directly rely on their robust geospatial handling functionalities, as well of that of [PyProj](https://pyproj4.github.io/pyproj/stable/index.html), and 
+They directly rely on their robust geospatial handling functionalities, as well of that of [PyProj](https://pyproj4.github.io/pyproj/stable/index.html), and
 add a layer on top for interfacing between rasters and vectors with higher-level operations, performing easier numerical analysis, and adding more advanced geospatial functionalities.
 
 ## The {class}`~geoutils.Raster` class composition
@@ -32,8 +32,8 @@ raster = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
 raster
 ```
 
-From these **four main attributes**, many other derivatives attributes exist, such as {attr}`~geoutils.Raster.bounds` or {attr}`~geoutils.Raster.res` to 
-describe georeferencing. When a {class}`~geoutils.Raster` is based on an **on-disk** dataset, other attributes exist such as {attr}`~geoutils.Raster.name` or 
+From these **four main attributes**, many other derivatives attributes exist, such as {attr}`~geoutils.Raster.bounds` or {attr}`~geoutils.Raster.res` to
+describe georeferencing. When a {class}`~geoutils.Raster` is based on an **on-disk** dataset, other attributes exist such as {attr}`~geoutils.Raster.name` or
 {attr}`~geoutils.Raster.driver`, see {ref}`raster-class` for a summary, or the {ref}`dedicated sections of the API<api-raster-attrs>` for a full listing.
 
 ```{note}
@@ -47,29 +47,29 @@ print(raster.info())
 ```
 
 ```{important}
-The {class}`~geoutils.Raster` is not a composition of either a {class}`rasterio.io.DatasetReader`, a {class}`rasterio.io.MemoryFile` or a {class}`rasterio.io.DatasetWriter`. 
-It is only linked to those objects to initiate a {class}`~geoutils.Raster` instance which first loads the metadata (notably the three main metadata attributes 
-{attr}`~geoutils.Raster.crs`, {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.nodata`). 
-Then, explicity or implicitly, it can also {class}`~geoutils.Raster.load` the array data when an **on-disk** dataset exists, or {class}`~geoutils.Raster.save` the **in-memory** 
+The {class}`~geoutils.Raster` is not a composition of either a {class}`rasterio.io.DatasetReader`, a {class}`rasterio.io.MemoryFile` or a {class}`rasterio.io.DatasetWriter`.
+It is only linked to those objects to initiate a {class}`~geoutils.Raster` instance which first loads the metadata (notably the three main metadata attributes
+{attr}`~geoutils.Raster.crs`, {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.nodata`).
+Then, explicitly or implicitly, it can also {class}`~geoutils.Raster.load` the array data when an **on-disk** dataset exists, or {class}`~geoutils.Raster.save` the **in-memory**
 dataset to a file.
 ```
 
-A {class}`~geoutils.Raster` generally exists only as an **in-memory** dataset, not linked to anything else than a {class}`numpy.ma.MaskedArray` in {attr}`~geoutils.Raster.data` 
-(for instance, when creating from {func}`~geoutils.Raster.from_array`). If a numerical operation is performed on a {class}`~geoutils.Raster` opened from an 
+A {class}`~geoutils.Raster` generally exists only as an **in-memory** dataset, not linked to anything else than a {class}`numpy.ma.MaskedArray` in {attr}`~geoutils.Raster.data`
+(for instance, when creating from {func}`~geoutils.Raster.from_array`). If a numerical operation is performed on a {class}`~geoutils.Raster` opened from an
 **on-disk** dataset, the new dataset will be modified **in-memory**.
 
 ```{note}
-To check if a {class}`~geoutils.Raster` was loaded from the **on-disk** data, use the {attr}`~geoutils.Raster.is_loaded` attribute. 
+To check if a {class}`~geoutils.Raster` was loaded from the **on-disk** data, use the {attr}`~geoutils.Raster.is_loaded` attribute.
 
-To check if the {class}`~geoutils.Raster` was modified since loading from the **on-disk** data, use the {attr}`~geoutils.Raster.is_modified` attribute. 
+To check if the {class}`~geoutils.Raster` was modified since loading from the **on-disk** data, use the {attr}`~geoutils.Raster.is_modified` attribute.
 ```
 
 ## The {class}`~geoutils.Vector` class composition
 
 A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as {attr}`~geoutils.Vector.ds`.
 
-Because lazy loading is a lesser priority with vector data, a {class}`~geoutils.Vector` directly loads its {attr}`~geoutils.Vector.ds`. Besides, many 
-higher-level geospatial methods are already available in {class}`~geopandas.GeoDataFrame`. We thus only wrap those directly into {class}`~geoutils.Vector`, 
+Because lazy loading is a lesser priority with vector data, a {class}`~geoutils.Vector` directly loads its {attr}`~geoutils.Vector.ds`. Besides, many
+higher-level geospatial methods are already available in {class}`~geopandas.GeoDataFrame`. We thus only wrap those directly into {class}`~geoutils.Vector`,
 in order to easily call them from the vector object, and build additional methods on top.
 
 ```{code-cell} ipython3
diff --git a/doc/source/core_index.md b/doc/source/core_index.md
index 774309eba..bdabbd054 100644
--- a/doc/source/core_index.md
+++ b/doc/source/core_index.md
@@ -3,11 +3,11 @@
 
 ```{toctree}
 :maxdepth: 2
-    
+
 core_composition
 core_match_ref
 core_py_ops
 core_array_funcs
 core_lazy_load
 core_inheritance
-```
\ No newline at end of file
+```
diff --git a/doc/source/core_inheritance.md b/doc/source/core_inheritance.md
index bd59916d5..43a4819a4 100644
--- a/doc/source/core_inheritance.md
+++ b/doc/source/core_inheritance.md
@@ -8,14 +8,14 @@ kernelspec:
 
 Inheritance is practical to naturally pass down parent methods and attributes to child classes.
 
-Many subtypes of {class}`Rasters<geoutils.Raster>` geospatial data exist that require additional attributes and methods, yet might benefit from methods 
+Many subtypes of {class}`Rasters<geoutils.Raster>` geospatial data exist that require additional attributes and methods, yet might benefit from methods
 implemented in GeoUtils.
 
 ## Overview of {class}`~geoutils.Raster` inheritance
 
 
 Below is a diagram showing current {class}`~geoutils.Raster` inheritance, which extends into other packages such as [xDEM](https://xdem.readthedocs.io/en/latest/index.html)
-for analyzing digital elevation models. 
+for analyzing digital elevation models.
 
 ```{eval-rst}
 .. inheritance-diagram:: geoutils.georaster.raster geoutils.georaster.satimg xdem.dem.DEM
@@ -23,17 +23,17 @@ for analyzing digital elevation models.
 ```
 
 ```{note}
-The {class}`~xdem.DEM` class re-implements all methods of [gdalDEM](https://gdal.org/programs/gdaldem.html) (and more) to derive topographic attributes 
-(hillshade, slope, aspect, etc), coded directly in Python for scalability and tested to yield the exact same results. 
+The {class}`~xdem.DEM` class re-implements all methods of [gdalDEM](https://gdal.org/programs/gdaldem.html) (and more) to derive topographic attributes
+(hillshade, slope, aspect, etc), coded directly in Python for scalability and tested to yield the exact same results.
 Among others, it also adds a {attr}`~xdem.DEM.vref` property to consistently manage vertical referencing (ellipsoid, geoids).
 
-If you are DEM-enthuisiastic, **[check-out our sister-package xDEM](https://xdem.readthedocs.io/en/latest/index.html)** for the analysis of digital 
+If you are DEM-enthuisiastic, **[check-out our sister-package xDEM](https://xdem.readthedocs.io/en/latest/index.html)** for the analysis of digital
 elevation models.
 ```
 
 ## The internal {class}`~geoutils.SatelliteImage` subclass
 
-GeoUtils subclasses {class}`Rasters<geoutils.Raster>` to {class}`SatelliteImages<geoutils.SatelliteImage>` for remote sensing users interested in parsing 
+GeoUtils subclasses {class}`Rasters<geoutils.Raster>` to {class}`SatelliteImages<geoutils.SatelliteImage>` for remote sensing users interested in parsing
 metadata from space- or airborne imagery.
 
 Based on the filename, or auxiliary files, the {class}`~geoutils.SatelliteImage` class attempts to automatically parse a `.datetime`, `.sensor`, `tile_name`,
@@ -61,9 +61,9 @@ geoimg
 
 ## And beyond
 
-Many types of geospatial data can be viewed as a subclass of {class}`Rasters<geoutils.Raster>`, which have more attributes and require their own methods: 
+Many types of geospatial data can be viewed as a subclass of {class}`Rasters<geoutils.Raster>`, which have more attributes and require their own methods:
 **spectral images**, **velocity fields**, **phase difference maps**, etc...
 
-If you are interested to build your own subclass of {class}`~geoutils.Raster`, you can take example of the structure of {class}`geoutils.SatelliteImage` and 
-{class}`xdem.DEM`. Then, just add any of your own attributes and methods, and overload parent methods if necessary! Don't hesitate to reach out on our 
+If you are interested to build your own subclass of {class}`~geoutils.Raster`, you can take example of the structure of {class}`geoutils.SatelliteImage` and
+{class}`xdem.DEM`. Then, just add any of your own attributes and methods, and overload parent methods if necessary! Don't hesitate to reach out on our
 GitHub if you have a subclassing project.
diff --git a/doc/source/core_lazy_load.md b/doc/source/core_lazy_load.md
index 2e38ded41..72811c57e 100644
--- a/doc/source/core_lazy_load.md
+++ b/doc/source/core_lazy_load.md
@@ -13,8 +13,8 @@ In GeoUtils, we implicitly load and pass only metadata, until the data is actual
 
 ## Lazy instantiation of {class}`Rasters<geoutils.Raster>`
 
-By default, GeoUtils instantiate a {class}`~geoutils.Raster` from an **on-disk** file without loading its {attr}`geoutils.Raster.data` array. It only loads its 
-metadata ({attr}`~geoutils.Raster.transform`, {attr}`~geoutils.Raster.crs`, {attr}`~geoutils.Raster.nodata` and derivatives, as well as 
+By default, GeoUtils instantiate a {class}`~geoutils.Raster` from an **on-disk** file without loading its {attr}`geoutils.Raster.data` array. It only loads its
+metadata ({attr}`~geoutils.Raster.transform`, {attr}`~geoutils.Raster.crs`, {attr}`~geoutils.Raster.nodata` and derivatives, as well as
 {attr}`~geoutils.Raster.name` and {attr}`~geoutils.Raster.driver`).
 
 ```{code-cell} ipython3
@@ -28,7 +28,7 @@ raster = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
 raster
 ```
 
-To load the data explicity during instantiation opening, `load_data=True` can be passed to {class}`~geoutils.Raster`. Or the {func}`~geoutils.Raster.load` 
+To load the data explicitly during instantiation opening, `load_data=True` can be passed to {class}`~geoutils.Raster`. Or the {func}`~geoutils.Raster.load`
 method can be called after. The two are equivalent.
 
 ```{code-cell} ipython3
@@ -42,10 +42,10 @@ raster_toload
 
 ## Lazy passing of georeferencing metadata
 
-Operations relying on georeferencing metadata of {class}`Rasters<geoutils.Raster>` or {class}`Vectors<geoutils.Vector>` are always done by respecting the 
+Operations relying on georeferencing metadata of {class}`Rasters<geoutils.Raster>` or {class}`Vectors<geoutils.Vector>` are always done by respecting the
 possible lazy loading of the objects.
 
-For instance, using any {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a match-reference for a geospatial operation (see {ref}`core-match-ref`) will 
+For instance, using any {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a match-reference for a geospatial operation (see {ref}`core-match-ref`) will
 always conserve the lazy loading of that match-reference object.
 
 ```{code-cell} ipython3
@@ -60,17 +60,14 @@ smaller_raster
 ## Optimized geospatial subsetting
 
 ```{important}
-These features are a work in progress, we aim to make GeoUtils more lazy-friendly through [Dask](https://docs.dask.org/en/stable/) in future versions of the 
+These features are a work in progress, we aim to make GeoUtils more lazy-friendly through [Dask](https://docs.dask.org/en/stable/) in future versions of the
 package!
 ```
 
-Some georeferencing operations be done without loading the entire array Right now, relying directly on Rasterio, GeoUtils supports optimized subsetting 
+Some georeferencing operations be done without loading the entire array Right now, relying directly on Rasterio, GeoUtils supports optimized subsetting
 through the {func}`~geoutils.Raster.crop` method.
 
 ```{code-cell} ipython3
 # The previously cropped Raster was loaded without accessing the entire array
 raster
 ```
-
-
-
diff --git a/doc/source/core_match_ref.md b/doc/source/core_match_ref.md
index 098593a68..f999c6d68 100644
--- a/doc/source/core_match_ref.md
+++ b/doc/source/core_match_ref.md
@@ -9,12 +9,12 @@ Match-reference means to **match** the georeferencing of a dataset to that of an
 
 ## Why the need for match-reference?
 
-End-users of geospatial tools largely focus on analyzing their data. To this end, they first **need to reconcile data sources**, often provided **in different 
+End-users of geospatial tools largely focus on analyzing their data. To this end, they first **need to reconcile data sources**, often provided **in different
 projections, resolutions, and bounds**. This is generally performed by matching all dataset to a certain reference.
 
-Such functionalities are not always available from lower-level packages, in order to keep geoinformatics flexible for more diverse uses. This 
-**breaks the principle of least knowledge**, however, for which a user should not need to understand more information than just what is required to run an 
-operation. 
+Such functionalities are not always available from lower-level packages, in order to keep geoinformatics flexible for more diverse uses. This
+**breaks the principle of least knowledge**, however, for which a user should not need to understand more information than just what is required to run an
+operation.
 
 **GeoUtils allows for match-reference for nearly all geospatial handling operations**, with consistent behaviour across functionalities for intuitive use.
 
@@ -22,29 +22,29 @@ operation.
 
 The rules of using match-reference with {class}`Rasters<geoutils.Raster>` or {class}`Vectors<geoutils.Vector>` are always the same:
 
- - If the **reference** passed is a {class}`~geoutils.Vector`, it can enforce a matching of its {attr}`~geoutils.Vector.bounds` and/or of its {attr}`~geoutils.Vector.crs` (its only two 
+ - If the **reference** passed is a {class}`~geoutils.Vector`, it can enforce a matching of its {attr}`~geoutils.Vector.bounds` and/or of its {attr}`~geoutils.Vector.crs` (its only two
    georeferencing attributes),
- - If the **reference** is a {class}`~geoutils.Raster`, it can also enforce a matching of any aspect of its {attr}`~geoutils.Raster.transform` (i.e, its 
+ - If the **reference** is a {class}`~geoutils.Raster`, it can also enforce a matching of any aspect of its {attr}`~geoutils.Raster.transform` (i.e, its
    {attr}`~geoutils.Raster.res`, {attr}`~geoutils.Raster.bounds` or {attr}`~geoutils.Raster.shape`) and/or of its {attr}`~geoutils.Raster.crs`.
 
 Which of these attributes are eventually used to enforce the matching **depends entirely on the nature of the operation**, which are listed below.
 
 ## Geospatial handling rules for match-reference
 
-Geospatial handling methods all support match-reference, and **always enforce the same georeferencing attributes** for either {class}`~geoutils.Raster` 
+Geospatial handling methods all support match-reference, and **always enforce the same georeferencing attributes** for either {class}`~geoutils.Raster`
 or {class}`~geoutils.Vector`:
 
-```{list-table} 
+```{list-table}
    :widths: 30 30 30
    :header-rows: 1
-   
+
    * - **Operation**
      - Enforced on {class}`~geoutils.Raster`
      - Enforced on {class}`~geoutils.Vector`
    * - {func}`~geoutils.Raster.warp`
      - {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.crs`
      - {attr}`~geoutils.Vector.bounds`<sup>1</sup> and {attr}`~geoutils.Vector.crs`
-   * - {func}`~geoutils.Raster.reproject` 
+   * - {func}`~geoutils.Raster.reproject`
      - {attr}`~geoutils.Raster.crs`
      - {attr}`~geoutils.Vector.crs`
    * - {func}`~geoutils.Raster.crop`
@@ -61,24 +61,24 @@ or {class}`~geoutils.Vector`:
 
 ## Other operations supporting match-reference
 
-There are **other geospatial operation that also support match-reference arguments**. Unlike the geospatial handling methods described above, these do not aim 
+There are **other geospatial operation that also support match-reference arguments**. Unlike the geospatial handling methods described above, these do not aim
 at modifying the georeferencing of {class}`Rasters<geoutils.Raster>` or {class}`Vectors<geoutils.Vector>`. Instead, they simply require the georeferencing metadata.
 
 ### From vector to raster
 
-The {func}`~geoutils.Vector.rasterize` operation to convert from {class}`~geoutils.Vector` to {class}`~geoutils.Raster` accepts a {class}`~geoutils.Raster` to define the 
-grid and georeferencing. The behaviour is similar for {func}`~geoutils.Vector.create_mask`, that directly relies on {func}`~geoutils.Vector.rasterize` to 
+The {func}`~geoutils.Vector.rasterize` operation to convert from {class}`~geoutils.Vector` to {class}`~geoutils.Raster` accepts a {class}`~geoutils.Raster` to define the
+grid and georeferencing. The behaviour is similar for {func}`~geoutils.Vector.create_mask`, that directly relies on {func}`~geoutils.Vector.rasterize` to
 rasterize directly into a boolean {class}`~geoutils.Raster.Mask`.
 
-In addition, the {func}`~geoutils.Vector.proximity` operation to compute proximity distances from the vector also relies on a 
+In addition, the {func}`~geoutils.Vector.proximity` operation to compute proximity distances from the vector also relies on a
 {func}`~geoutils.Vector.rasterize`, and therefore also accepts a {class}`~geoutils.Raster` as reference.
 
 Therefore, the behaviour is consistent for all {class}`~geoutils.Vector` methods that can be passed a {class}`~geoutils.Raster`:
 
-```{list-table} 
+```{list-table}
    :widths: 50 50
    :header-rows: 1
-   
+
    * - **Operation on {class}`~geoutils.Vector`**
      - **Behaviour**
    * - {func}`~geoutils.Vector.rasterize`
@@ -91,20 +91,19 @@ Therefore, the behaviour is consistent for all {class}`~geoutils.Vector` methods
 
 ### And inversely
 
-However, in the case of {class}`~geoutils.Raster` methods that yield a {class}`~geoutils.Vector` or {class}`~geoutils.Raster`, a reference is rarely needed. 
+However, in the case of {class}`~geoutils.Raster` methods that yield a {class}`~geoutils.Vector` or {class}`~geoutils.Raster`, a reference is rarely needed.
 This is because this reference is derived directly from the input {class}`~geoutils.Raster` itself, harnessing the object-based structure of GeoUtils.
 
 The user can always {func}`~geoutils.Vector.crop` or {func}`~geoutils.Vector.reproject` the output afterwards, if desired.
 
-```{list-table} 
+```{list-table}
    :widths: 50 50
    :header-rows: 1
-   
+
    * - **Operation on {class}`~geoutils.Raster`**
      - **Behaviour**
    * - {func}`~geoutils.Raster.polygonize`
-     - Using `.self` ({class}`~geoutils.Raster`) as reference for {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.crs` 
+     - Using `.self` ({class}`~geoutils.Raster`) as reference for {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.crs`
    * - {func}`~geoutils.Raster.proximity`
      - Using `.self` ({class}`~geoutils.Raster`) as reference for {attr}`~geoutils.Raster.transform` and {attr}`~geoutils.Raster.crs`
 ```
-
diff --git a/doc/source/core_py_ops.md b/doc/source/core_py_ops.md
index 09e831d88..5cb199bda 100644
--- a/doc/source/core_py_ops.md
+++ b/doc/source/core_py_ops.md
@@ -8,16 +8,16 @@ kernelspec:
 # Support of pythonic operators
 
 GeoUtils integrates pythonic operators for shorter, more intuitive code, and to perform arithmetic and logical operations consistently.
- 
+
 These operators work on {class}`Rasters<geoutils.Raster>` much as they would on {class}`ndarrays<numpy.ndarray>`, with some more details.
 
 ## Arithmetic of {class}`~geoutils.Raster` classes
 
-Arithmetic operators ({func}`+<operator.add>`, {func}`-<operator.sub>`, {func}`/<operator.truediv>`, {func}`//<operator.floordiv>`, {func}`*<operator.mul>`, 
-{func}`**<operator.pow>`, {func}`%<operator.mod>`) can be used on a {class}`~geoutils.Raster` in combination with any other {class}`~geoutils.Raster`, 
+Arithmetic operators ({func}`+<operator.add>`, {func}`-<operator.sub>`, {func}`/<operator.truediv>`, {func}`//<operator.floordiv>`, {func}`*<operator.mul>`,
+{func}`**<operator.pow>`, {func}`%<operator.mod>`) can be used on a {class}`~geoutils.Raster` in combination with any other {class}`~geoutils.Raster`,
 {class}`~numpy.ndarray` or number.
 
-For an operation with another {class}`~geoutils.Raster`, the georeferencing ({attr}`~geoutils.Raster.crs` and {attr}`~geoutils.Raster.transform`) must match. 
+For an operation with another {class}`~geoutils.Raster`, the georeferencing ({attr}`~geoutils.Raster.crs` and {attr}`~geoutils.Raster.transform`) must match.
 For another {class}`~numpy.ndarray`, the {attr}`~geoutils.Raster.shape` must match. The operation always returns a {class}`~geoutils.Raster`.
 
 ```{code-cell} ipython3
@@ -58,17 +58,17 @@ raster / arr
 raster - (raster**0.5)
 ```
 
-If an unmasked {class}`~numpy.ndarray` is passed, it will internally be cast into a {class}`~numpy.ma.MaskedArray` to respect the propagation of 
-{class}`~geoutils.Raster.nodata` values. Additionally, the {attr}`~geoutils.Raster.dtypes` are also reconciled as they would for {class}`~numpy.ndarray`, 
+If an unmasked {class}`~numpy.ndarray` is passed, it will internally be cast into a {class}`~numpy.ma.MaskedArray` to respect the propagation of
+{class}`~geoutils.Raster.nodata` values. Additionally, the {attr}`~geoutils.Raster.dtypes` are also reconciled as they would for {class}`~numpy.ndarray`,
 following [standard NumPy coercion rules](https://numpy.org/doc/stable/reference/generated/numpy.find_common_type.html).
 
 ## Logical comparisons cast to {class}`~geoutils.Mask`
 
-Logical comparison operators ({func}`==<operator.eq>`, {func}` != <operator.ne>`, {func}`>=<operator.ge>`, {func}`><operator.gt>`, {func}`<=<operator.le>`, 
-{func}`<<operator.lt>`) can be used on a {class}`~geoutils.Raster`, also in combination with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or 
+Logical comparison operators ({func}`==<operator.eq>`, {func}` != <operator.ne>`, {func}`>=<operator.ge>`, {func}`><operator.gt>`, {func}`<=<operator.le>`,
+{func}`<<operator.lt>`) can be used on a {class}`~geoutils.Raster`, also in combination with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or
 number.
 
-Those operation always return a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster` with a boolean {class}`~numpy.ma.MaskedArray` 
+Those operation always return a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster` with a boolean {class}`~numpy.ma.MaskedArray`
 as {class}`~geoutils.Raster.data`.
 
 ```{code-cell} ipython3
@@ -78,13 +78,13 @@ mask
 ```
 
 ```{note}
-A {class}`~geoutils.Mask`'s {attr}`~geoutils.Raster.data` remains a {class}`~numpy.ma.MaskedArray`. Therefore, it still maps unvalid values through its 
+A {class}`~geoutils.Mask`'s {attr}`~geoutils.Raster.data` remains a {class}`~numpy.ma.MaskedArray`. Therefore, it still maps invalid values through its
 {attr}`~numpy.ma.MaskedArray.mask`, but has no associated {attr}`~geoutils.Raster.nodata`.
 ```
 
 ## Logical bitwise operations on {class}`~geoutils.Mask`
 
-Logical bitwise operators ({func}`~ <operator.invert>`, {func}`& <operator.and_>`, {func}`| <operator.or_>`, {func}`^ <operator.xor>`) can be used to 
+Logical bitwise operators ({func}`~ <operator.invert>`, {func}`& <operator.and_>`, {func}`| <operator.or_>`, {func}`^ <operator.xor>`) can be used to
 combine a {class}`~geoutils.Mask` with another {class}`~geoutils.Mask`, and always output a {class}`~geoutils.Mask`.
 
 ```{code-cell} ipython3
@@ -97,17 +97,17 @@ mask
 
 ## Indexing a {class}`~geoutils.Raster` with a {class}`~geoutils.Mask`
 
-Finally, indexing and index assignment operations ({func}`[] <operator.getitem>`, {func}`[]= <operator.setitem>`) are both supported by 
-{class}`Rasters<geoutils.Raster>`. 
+Finally, indexing and index assignment operations ({func}`[] <operator.getitem>`, {func}`[]= <operator.setitem>`) are both supported by
+{class}`Rasters<geoutils.Raster>`.
 
-For indexing, they can be passed either a {class}`~geoutils.Mask` with the same georeferencing, or a boolean {class}`~numpy.ndarray` of the same shape. 
+For indexing, they can be passed either a {class}`~geoutils.Mask` with the same georeferencing, or a boolean {class}`~numpy.ndarray` of the same shape.
 For assignment, either a {class}`~geoutils.Raster` with the same georeferencing, or any {class}`~numpy.ndarray` of the same shape is expected.
 
-When indexing, a flattened {class}`~numpy.ma.MaskedArray` is returned with the indexed values of the {class}`~geoutils.Mask` **excluding those masked in its 
-{class}`~geoutils.Raster.data`'s {class}`~numpy.ma.MaskedArray` (for instance, nodata values present during a previous logical comparison)**. To bypass this 
+When indexing, a flattened {class}`~numpy.ma.MaskedArray` is returned with the indexed values of the {class}`~geoutils.Mask` **excluding those masked in its
+{class}`~geoutils.Raster.data`'s {class}`~numpy.ma.MaskedArray` (for instance, nodata values present during a previous logical comparison)**. To bypass this
 behaviour, simply index without the mask using {attr}`Mask.data.data`.
 
 ```{code-cell} ipython3
 # Indexing the raster with the previous mask
 raster[mask]
-```
\ No newline at end of file
+```
diff --git a/doc/source/index.md b/doc/source/index.md
index 859878b38..facc74725 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -22,14 +22,14 @@ title: GeoUtils
 GeoUtils is an **accessible**, **efficient** and **reliable** package to analyze geospatial data.
 ::::
 
-**Accessible** owing to its convenient object-based structure, intuitive match-reference operations and familiar geospatial dependencies 
-([Rasterio](https://rasterio.readthedocs.io/en/latest/), [Rioxarray](https://corteva.github.io/rioxarray/stable/), 
+**Accessible** owing to its convenient object-based structure, intuitive match-reference operations and familiar geospatial dependencies
+([Rasterio](https://rasterio.readthedocs.io/en/latest/), [Rioxarray](https://corteva.github.io/rioxarray/stable/),
 [GeoPandas](https://geopandas.org/en/stable/docs.html), [PyProj](https://pyproj4.github.io/pyproj/stable/index.html)).
 
-**Efficient** owing to its implicit lazy loading functionalities, logical integration with pythonic operators and array interfacing 
+**Efficient** owing to its implicit lazy loading functionalities, logical integration with pythonic operators and array interfacing
 ([NumPy](https://numpy.org/doc/stable/), [SciPy](https://docs.scipy.org/doc/scipy/) and [Xarray](https://docs.xarray.dev/en/stable/)).
 
-**Reliable** owing to its consistent higher-level operations respecting geospatial intricacies such as nodata values and pixel interpretation, ensured by 
+**Reliable** owing to its consistent higher-level operations respecting geospatial intricacies such as nodata values and pixel interpretation, ensured by
 its testing suite and type checking ([Pytest](https://docs.pytest.org/en/7.2.x/), [Mypy](https://mypy-lang.org/)).
 
 ----------------
@@ -52,7 +52,7 @@ Learn more about why we developed GeoUtils.
 :::{grid-item-card} {material-regular}`data_exploration;2em` Quick start
 :link: quick-start
 :link-type: ref
- 
+
 Run a short example of the package functionalities.
 
 +++
@@ -94,7 +94,7 @@ quick_start
 ```{toctree}
 :caption: Features
 :maxdepth: 2
-    
+
 core_index
 rasters_index
 vectors_index
@@ -104,7 +104,7 @@ proj_tools
 ```{toctree}
 :caption: Examples
 :maxdepth: 2
-    
+
 io_examples/index
 handling_examples/index
 analysis_examples/index
@@ -112,8 +112,8 @@ analysis_examples/index
 
 ```{toctree}
 :caption: Reference
-:maxdepth: 2 
-    
+:maxdepth: 2
+
 api
 background
 ```
diff --git a/doc/source/mask_class.md b/doc/source/mask_class.md
index 4af6e8c67..dc97c6f07 100644
--- a/doc/source/mask_class.md
+++ b/doc/source/mask_class.md
@@ -20,20 +20,20 @@ A {class}`~geoutils.Mask` is a subclass of {class}`~geoutils.Raster` that contai
 A {class}`~geoutils.Mask` also inherits the same derivative attributes as a {class}`~geoutils.Raster`.
 
 ```{note}
-There is no {class}`~geoutils.Raster.nodata` value defined in a {class}`~geoutils.Mask`, as it only take binary values. However, the 
-{class}`numpy.ma.MaskedArray` still has a {class}`~geoutils.Raster.data.mask` for unvalid values.
+There is no {class}`~geoutils.Raster.nodata` value defined in a {class}`~geoutils.Mask`, as it only take binary values. However, the
+{class}`numpy.ma.MaskedArray` still has a {class}`~geoutils.Raster.data.mask` for invalid values.
 ```
 
 ## Open and save
 
-{class}`Masks<geoutils.Mask>` can be created from files through instantiation with {class}`~geoutils.Mask`, and inherit the {func}`~geoutils.Raster.save` 
+{class}`Masks<geoutils.Mask>` can be created from files through instantiation with {class}`~geoutils.Mask`, and inherit the {func}`~geoutils.Raster.save`
 method from {class}`~geoutils.Raster`.
 
 ```{important}
-Most raster file formats such a [GeoTIFFs](https://gdal.org/drivers/raster/gtiff.html) **do not support {class}`bool` array {class}`dtypes<numpy.dtype>` 
+Most raster file formats such a [GeoTIFFs](https://gdal.org/drivers/raster/gtiff.html) **do not support {class}`bool` array {class}`dtypes<numpy.dtype>`
 on-disk**, and **most of Rasterio functionalities also do not support {class}`bool` {class}`dtypes<numpy.dtype>`**.
 
-To address this, during opening, saving and geospatial handling operations, {class}`Masks<geoutils.Mask>` are automatically converted to and from {class}`numpy.uint8`. 
+To address this, during opening, saving and geospatial handling operations, {class}`Masks<geoutils.Mask>` are automatically converted to and from {class}`numpy.uint8`.
 The {class}`~geoutils.Raster.nodata` of a {class}`~geoutils.Mask` can now be defined to save to a file, and defaults to `255`.
 ```
 
@@ -49,7 +49,7 @@ mask
 
 ## Cast from {class}`~geoutils.Raster`
 
-{class}`Masks<geoutils.Mask>` are automatically cast by a logical comparison operation performed on a {class}`~geoutils.Raster` with either another 
+{class}`Masks<geoutils.Mask>` are automatically cast by a logical comparison operation performed on a {class}`~geoutils.Raster` with either another
 {class}`~geoutils.Raster`, a {class}`~numpy.ndarray` or a number.
 
 ```{code-cell} ipython3
@@ -65,7 +65,7 @@ See {ref}`core-py-ops` for more details.
 
 ## Create from {class}`~numpy.ndarray`
 
-The class method {func}`geoutils.Raster.from_array`, inherited by the {class}`~geoutils.Mask` subclass, automatically casts to a {class}`~geoutils.Mask` if 
+The class method {func}`geoutils.Raster.from_array`, inherited by the {class}`~geoutils.Mask` subclass, automatically casts to a {class}`~geoutils.Mask` if
 the input {class}`~numpy.ndarray` is of {class}`bool` {class}`~numpy.dtype`.
 
 ```{code-cell} ipython3
@@ -104,7 +104,7 @@ mask
 
 ## Create from {class}`~geoutils.Vector`
 
-{class}`Masks<geoutils.Mask>` can also be created from a {class}`~geoutils.Vector` using {class}`~geoutils.Vector.create_mask`, which rasterizes all input 
+{class}`Masks<geoutils.Mask>` can also be created from a {class}`~geoutils.Vector` using {class}`~geoutils.Vector.create_mask`, which rasterizes all input
 geometries to a boolean array through {class}`~geoutils.Vector.rasterize`.
 
 Georeferencing attributes to create the {class}`~geoutils.Mask` can also be passed individually, using `bounds`, `crs`, `xres` and `yres`.
@@ -122,7 +122,7 @@ See {ref}`core-match-ref` for more details on the match-reference functionality.
 
 ## Arithmetic
 
-{class}`Masks<geoutils.Mask>` support Python's logical bitwise operators ({func}`~ <operator.invert>`, {func}`& <operator.and_>`, {func}`|<operator.or_>`, 
+{class}`Masks<geoutils.Mask>` support Python's logical bitwise operators ({func}`~ <operator.invert>`, {func}`& <operator.and_>`, {func}`|<operator.or_>`,
 {func}`^ <operator.xor>`) with other {class}`Masks<geoutils.Mask>`, and always output a {class}`~geoutils.Mask`.
 
 ```{code-cell} ipython3
@@ -136,7 +136,7 @@ See {ref}`core-match-ref` for more details on the match-reference functionality.
 {class}`Rasters<geoutils.Raster>`.
 
 ```{important}
-When indexing, a flattened {class}`~numpy.ma.MaskedArray` is returned with the indexed values of the {class}`~geoutils.Mask` **excluding those masked in its 
+When indexing, a flattened {class}`~numpy.ma.MaskedArray` is returned with the indexed values of the {class}`~geoutils.Mask` **excluding those masked in its
 {class}`~geoutils.Raster.data`'s {class}`~numpy.ma.MaskedArray`**.
 ```
 
@@ -151,10 +151,10 @@ See {ref}`py-ops-indexing` for more details.
 
 ## Polygonize (overloaded from {class}`~geoutils.Raster`)
 
-{class}`Masks<geoutils.Mask>` have simplified class methods overloaded from {class}`Rasters<geoutils.Raster>` when one or several attributes of the methods 
+{class}`Masks<geoutils.Mask>` have simplified class methods overloaded from {class}`Rasters<geoutils.Raster>` when one or several attributes of the methods
 become implicit in the case of {class}`bool` data.
 
-The {func}`~geoutils.Mask.polygonize` function is one of those, implicitly applying to the `True` values of the mask as target pixels. It outputs a 
+The {func}`~geoutils.Mask.polygonize` function is one of those, implicitly applying to the `True` values of the mask as target pixels. It outputs a
 {class}`~geoutils.Vector` of the input mask.
 
 ```{code-cell} ipython3
@@ -166,7 +166,7 @@ mask.polygonize()
 
 ## Proximity (overloaded from {class}`~geoutils.Raster`)
 
-The {func}`~geoutils.Mask.proximity` function is another overloaded method of {class}`~geoutils.Raster` implicitly applying to the `True` values of the mask as 
+The {func}`~geoutils.Mask.proximity` function is another overloaded method of {class}`~geoutils.Raster` implicitly applying to the `True` values of the mask as
 target pixels. It outputs a {class}`~geoutils.Raster` of the distances to the input mask.
 
 ```{code-cell} ipython3
diff --git a/doc/source/proj_tools.md b/doc/source/proj_tools.md
index f8e0a5be7..cbcf3dea9 100644
--- a/doc/source/proj_tools.md
+++ b/doc/source/proj_tools.md
@@ -10,4 +10,4 @@ Convenient `pyproj` wrappers.
 
 ## Create a tiling
 
-## Shape-preserving vector reprojection
\ No newline at end of file
+## Shape-preserving vector reprojection
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index cb90edd17..0eb035f28 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -28,8 +28,8 @@ rast = gu.Raster(filename_rast)
 vect = gu.Vector(filename_vect)
 ```
 
-A {class}`~geoutils.Raster` is a composition class with four main attributes: a {class}`~numpy.ma.MaskedArray` as `.data`, a {class}`~pyproj.crs.CRS` as `.crs`, 
-an {class}`~affine.Affine` as `.transform`, and a {class}`float` or {class}`int` as `.nodata`. When a file exists on disk, {class}`~geoutils.Raster` is 
+A {class}`~geoutils.Raster` is a composition class with four main attributes: a {class}`~numpy.ma.MaskedArray` as `.data`, a {class}`~pyproj.crs.CRS` as `.crs`,
+an {class}`~affine.Affine` as `.transform`, and a {class}`float` or {class}`int` as `.nodata`. When a file exists on disk, {class}`~geoutils.Raster` is
 linked to a {class}`rasterio.io.DatasetReader` object for loading the metadata, and the array at the appropriate time.
 
 ```{code-cell} ipython3
@@ -38,8 +38,8 @@ linked to a {class}`rasterio.io.DatasetReader` object for loading the metadata,
 rast
 ```
 
-A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as `.ds`, for which most methods are 
-wrapped directly into {class}`~geoutils.Vector`. 
+A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as `.ds`, for which most methods are
+wrapped directly into {class}`~geoutils.Vector`.
 
 ```{code-cell} ipython3
 :tags: [hide-output]
@@ -47,13 +47,13 @@ wrapped directly into {class}`~geoutils.Vector`.
 vect
 ```
 
-All other attributes are derivatives of those main attributes, or of the filename on disk. Attributes of {class}`~geoutils.Raster` and 
-{class}`~geoutils.Vector` update with geospatial operations on themselves. 
+All other attributes are derivatives of those main attributes, or of the filename on disk. Attributes of {class}`~geoutils.Raster` and
+{class}`~geoutils.Vector` update with geospatial operations on themselves.
 
 ## Geospatial handling and match-reference
 
-Geospatial operations are based on class methods, such as {func}`geoutils.Raster.crop` or {func}`geoutils.Vector.proximity`. Nearly all of these methods can be 
-passed solely another {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a **reference to match** during the operation. A **reference {class}`~geoutils.Vector`** 
+Geospatial operations are based on class methods, such as {func}`geoutils.Raster.crop` or {func}`geoutils.Vector.proximity`. Nearly all of these methods can be
+passed solely another {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a **reference to match** during the operation. A **reference {class}`~geoutils.Vector`**
 enforces a matching of `.bounds` and/or `.crs`, while a **reference {class}`~geoutils.Raster`** can also enforce a matching of `.res`, depending on the nature of the operation.
 
 
@@ -67,30 +67,30 @@ rast.crop(vect)
 rast_proximity_to_vec = vect.proximity(rast)
 ```
 
-All methods can be also be passed any number of georeferencing arguments such as `.shape` or `.res`, and will logically deduce others from the input, much 
+All methods can be also be passed any number of georeferencing arguments such as `.shape` or `.res`, and will logically deduce others from the input, much
 as in [GDAL](https://gdal.org/)'s command line.
 
 
 ```{note}
-Right now, the array `.data` of `rast` is still not loaded. Applying {func}`~geoutils.Raster.crop` does not yet require loading, 
+Right now, the array `.data` of `rast` is still not loaded. Applying {func}`~geoutils.Raster.crop` does not yet require loading,
 and `rast`'s metadata is sufficient to provide a georeferenced grid for {func}`~geoutils.Vector.proximity`. The array will only be loaded when necessary.
 ```
 
-Additionally, in GeoUtils, **methods that apply to the same georeferencing attributes have consistent naming**<sup>1</sup> across {class}`~geoutils.Raster` and {class}`~geoutils.Vector`. 
+Additionally, in GeoUtils, **methods that apply to the same georeferencing attributes have consistent naming**<sup>1</sup> across {class}`~geoutils.Raster` and {class}`~geoutils.Vector`.
 
 ```{margin}
 <sup>1</sup>The names of geospatial handling methods is largely based on [GDAL and OGR](https://gdal.org/)'s, with the notable exception of {func}`~geoutils.Vector.reproject` that better applies to vectors than `warp`.
 ```
 
-```{list-table} 
+```{list-table}
    :widths: 30 30 30
    :header-rows: 1
-   
+
    * - **Class**
      - {class}`~geoutils.Raster`
      - {class}`~geoutils.Vector`
-   * - Warping/Reprojection 
-     - {func}`~geoutils.Raster.reproject` 
+   * - Warping/Reprojection
+     - {func}`~geoutils.Raster.reproject`
      - {func}`~geoutils.Vector.reproject`
    * - Cropping/Clipping
      - {func}`~geoutils.Raster.crop`
@@ -98,19 +98,19 @@ Additionally, in GeoUtils, **methods that apply to the same georeferencing attri
    * - Rasterize/Polygonize
      - {func}`~geoutils.Raster.polygonize`
      - {func}`~geoutils.Vector.rasterize`
-   * - Proximity 
+   * - Proximity
      - {func}`~geoutils.Raster.proximity`
      - {func}`~geoutils.Vector.proximity`
 ```
 
-A {func}`~geoutils.Raster.reproject` involves a change in `.crs` or `.transform`, while a {func}`~geoutils.Raster.crop` only involves a change in `.bounds`. 
-Using {func}`~geoutils.Raster.polygonize` allows to generate a {class}`~geoutils.Vector` from a {class}`~geoutils.Raster`, and the other way around for {func}`~geoutils.Vector.rasterize`. 
+A {func}`~geoutils.Raster.reproject` involves a change in `.crs` or `.transform`, while a {func}`~geoutils.Raster.crop` only involves a change in `.bounds`.
+Using {func}`~geoutils.Raster.polygonize` allows to generate a {class}`~geoutils.Vector` from a {class}`~geoutils.Raster`, and the other way around for {func}`~geoutils.Vector.rasterize`.
 
 
 ## Pythonic arithmetic and NumPy interface
 
-All {class}`~geoutils.Raster` objects support Python arithmetic ({func}`+<operator.add>`, {func}`-<operator.sub>`, {func}`/<operator.truediv>`, {func}`//<operator.floordiv>`, {func}`*<operator.mul>`, 
-{func}`**<operator.pow>`, {func}`%<operator.mod>`) with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or 
+All {class}`~geoutils.Raster` objects support Python arithmetic ({func}`+<operator.add>`, {func}`-<operator.sub>`, {func}`/<operator.truediv>`, {func}`//<operator.floordiv>`, {func}`*<operator.mul>`,
+{func}`**<operator.pow>`, {func}`%<operator.mod>`) with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or
 number. For other {class}`~geoutils.Raster`, the georeferencing must match, while only the shape for other {class}`~numpy.ndarray`.
 
 ```{code-cell} ipython3
@@ -118,7 +118,7 @@ number. For other {class}`~geoutils.Raster`, the georeferencing must match, whil
 rast += 1
 ```
 
-Additionally, the class {class}`~geoutils.Raster` possesses a NumPy masked-array interface that allows to apply to it any [NumPy universal function](https://numpy.org/doc/stable/reference/ufuncs.html) and 
+Additionally, the class {class}`~geoutils.Raster` possesses a NumPy masked-array interface that allows to apply to it any [NumPy universal function](https://numpy.org/doc/stable/reference/ufuncs.html) and
 most other NumPy array functions, while logically casting `dtypes` and respecting `.nodata` values.
 
 ```{code-cell} ipython3
@@ -129,7 +129,7 @@ rast = (rast - np.min(rast)) / (np.max(rast) - np.min(rast))
 
 ## Casting to {class}`~geoutils.Mask`, indexing and overload
 
-All {class}`~geoutils.Raster` classes also support Python logical comparison operators ({func}`==<operator.eq>`, {func}` != <operator.ne>`, {func}`>=<operator.ge>`, {func}`><operator.gt>`, {func}`<=<operator.le>`, 
+All {class}`~geoutils.Raster` classes also support Python logical comparison operators ({func}`==<operator.eq>`, {func}` != <operator.ne>`, {func}`>=<operator.ge>`, {func}`><operator.gt>`, {func}`<=<operator.le>`,
 {func}`<<operator.lt>`), or more complex NumPy logical functions. Those operations automatically casts them into a {class}`~geoutils.Mask`, a subclass of {class}`~geoutils.Raster`.
 
 ```{code-cell} ipython3
@@ -144,7 +144,7 @@ Masks can then be used for indexing a {class}`~geoutils.Raster`, which returns a
 values_aoi = rast[mask_aoi]
 ```
 
-Masks also have simplified, overloaded {class}`~geoutils.Raster` methods due to their boolean `dtypes`. Using {func}`~geoutils.Raster.polygonize` with a 
+Masks also have simplified, overloaded {class}`~geoutils.Raster` methods due to their boolean `dtypes`. Using {func}`~geoutils.Raster.polygonize` with a
 {class}`~geoutils.Mask` is straightforward, for instance, to retrieve a {class}`~geoutils.Vector` of the area-of-interest:
 
 ```{code-cell} ipython3
@@ -155,8 +155,8 @@ vect_aoi = mask_aoi.polygonize()
 ## Plotting and saving geospatial data
 
 
-Finally, GeoUtils includes basic plotting tools wrapping directly {func}`rasterio.plot.show` and {func}`geopandas.GeoDataFrame.plot` for {class}`~geoutils.Raster` and {class}`~geoutils.Vector`, respectively. 
-The plotting function was renamed {func}`~geoutils.Raster.show` everywhere, for consistency. 
+Finally, GeoUtils includes basic plotting tools wrapping directly {func}`rasterio.plot.show` and {func}`geopandas.GeoDataFrame.plot` for {class}`~geoutils.Raster` and {class}`~geoutils.Vector`, respectively.
+The plotting function was renamed {func}`~geoutils.Raster.show` everywhere, for consistency.
 
 For saving, {func}`~geoutils.Raster.save` is used.
 
@@ -171,12 +171,12 @@ vect_aoi.ds.plot(ax=ax, fc='none', ec='k', lw=0.5)
 
 ```{admonition} Wrap-up
 In a few lines, we:
- - **easily handled georeferencing** operations on rasters and vectors, 
- - performed numerical calculations **inherently respecting unvalid data**,
+ - **easily handled georeferencing** operations on rasters and vectors,
+ - performed numerical calculations **inherently respecting invalid data**,
  - **naturally casted to a mask** from a logical operation on raster, and
  - **straightforwardly vectorized a mask** by harnessing overloaded subclass methods.
 
-**Our result:** a vector of high infrared absorption indexes at least 200 meters away from glaciers 
+**Our result:** a vector of high infrared absorption indexes at least 200 meters away from glaciers
 near Everest, which likely corresponds to **perennial snowfields**.
 
 For a **bonus** example on parsing satellite metadata and DEMs, continue below.
@@ -186,7 +186,7 @@ Otherwise, for more **hands-on** examples, explore GeoUtils' gallery of examples
 
 ## **Bonus:** Parsing metadata with {class}`~geoutils.SatelliteImage`
 
-In our case, `rast` would be better opened using the {class}`~geoutils.Raster` subclass {class}`~geoutils.SatelliteImage` instead, which tentatively parses 
+In our case, `rast` would be better opened using the {class}`~geoutils.Raster` subclass {class}`~geoutils.SatelliteImage` instead, which tentatively parses
 metadata recognized from the filename or auxiliary files.
 
 ```{code-cell} ipython3
@@ -200,15 +200,15 @@ print(os.path.basename(filename_rast))
 rast = gu.SatelliteImage(filename_rast, silent=False)
 ```
 
-There are many possible subclass to derive from a {class}`~geoutils.Raster`. Here's an **overview of current {class}`~geoutils.Raster` class inheritance**, which extends into 
-[xDEM](https://xdem.readthedocs.io/en/latest/index.html) through the {class}`~xdem.DEM` class for analyzing digital elevation models: 
+There are many possible subclass to derive from a {class}`~geoutils.Raster`. Here's an **overview of current {class}`~geoutils.Raster` class inheritance**, which extends into
+[xDEM](https://xdem.readthedocs.io/en/latest/index.html) through the {class}`~xdem.DEM` class for analyzing digital elevation models:
 
 ```{eval-rst}
 .. inheritance-diagram:: geoutils.georaster.raster geoutils.georaster.satimg xdem.dem.DEM
     :top-classes: geoutils.georaster.raster.Raster
 ```
 ```{note}
-The {class}`~xdem.DEM` class of [xDEM](https://xdem.readthedocs.io/en/latest/index.html) re-implements all methods of [gdalDEM](https://gdal.org/programs/gdaldem.html) 
-(and more) to derive topographic attributes (hillshade, slope, aspect, etc), coded directly in Python for scalability and tested to yield the exact same 
+The {class}`~xdem.DEM` class of [xDEM](https://xdem.readthedocs.io/en/latest/index.html) re-implements all methods of [gdalDEM](https://gdal.org/programs/gdaldem.html)
+(and more) to derive topographic attributes (hillshade, slope, aspect, etc), coded directly in Python for scalability and tested to yield the exact same
 results.
-```
\ No newline at end of file
+```
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index 9f79369e4..18bbe8633 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -24,26 +24,26 @@ For more details on {class}`~geoutils.Raster` class composition, see {ref}`core-
 
 A {class}`~geoutils.Raster` also contains many derivative attributes, with naming generally consistent with that of a {class}`rasterio.io.DatasetReader`.
 
-A first category includes georeferencing attributes directly derived from {attr}`~geoutils.Raster.transform`, namely: {attr}`~geoutils.Raster.shape`, 
+A first category includes georeferencing attributes directly derived from {attr}`~geoutils.Raster.transform`, namely: {attr}`~geoutils.Raster.shape`,
 {attr}`~geoutils.Raster.height`, {attr}`~geoutils.Raster.width`, {attr}`~geoutils.Raster.res`, {attr}`~geoutils.Raster.bounds`.
 
-A second category concerns the attributes derived from the raster array shape and type: {attr}`~geoutils.Raster.count`, {attr}`~geoutils.Raster.indexes` and 
+A second category concerns the attributes derived from the raster array shape and type: {attr}`~geoutils.Raster.count`, {attr}`~geoutils.Raster.indexes` and
 {attr}`~geoutils.Raster.dtypes`. The two former refer to the number of bands loaded in a {class}`~geoutils.Raster`, and their indexes.
 
 ```{important}
-The {attr}`~geoutils.Raster.indexes` of {class}`rasterio.io.DatasetReader` start from 1 and not 0, be careful when instantiating or loading from a 
+The {attr}`~geoutils.Raster.indexes` of {class}`rasterio.io.DatasetReader` start from 1 and not 0, be careful when instantiating or loading from a
 multi-band raster!
 ```
 
-Finally, the remaining attributes are only relevant when instantiating from a **on-disk** file: {attr}`~geoutils.Raster.name`, {attr}`~geoutils.Raster.driver`, 
+Finally, the remaining attributes are only relevant when instantiating from a **on-disk** file: {attr}`~geoutils.Raster.name`, {attr}`~geoutils.Raster.driver`,
 {attr}`~geoutils.Raster.count_on_disk`, {attr}`~geoutils.Raster.indexes_on_disk`, {attr}`~geoutils.Raster.is_loaded` and {attr}`~geoutils.Raster.is_modified`.
 
 
 ```{note}
-The {attr}`~geoutils.Raster.count` and {attr}`~geoutils.Raster.indexes` attributes always exist, while {attr}`~geoutils.Raster.count_on_disk` and 
+The {attr}`~geoutils.Raster.count` and {attr}`~geoutils.Raster.indexes` attributes always exist, while {attr}`~geoutils.Raster.count_on_disk` and
 {attr}`~geoutils.Raster.indexes_on_disk` only refers to the number of bands on the **on-disk** dataset, if it exists.
 
-For example, {attr}`~geoutils.Raster.count` and {attr}`~geoutils.Raster.count_on_disk` will differ when a single band is loaded from a 
+For example, {attr}`~geoutils.Raster.count` and {attr}`~geoutils.Raster.count_on_disk` will differ when a single band is loaded from a
 3-band **on-disk** file, by passing a single index to the `indexes` argument in {class}`~geoutils.Raster` or {func}`~geoutils.Raster.load`.
 ```
 
@@ -51,7 +51,7 @@ The complete list of {class}`~geoutils.Raster` attributes with description is av
 
 ## Open and save
 
-A {class}`~geoutils.Raster` is opened by instantiating with either a {class}`str`, a {class}`pathlib.Path`, a {class}`rasterio.io.DatasetReader` or a 
+A {class}`~geoutils.Raster` is opened by instantiating with either a {class}`str`, a {class}`pathlib.Path`, a {class}`rasterio.io.DatasetReader` or a
 {class}`rasterio.io.MemoryFile`.
 
 
@@ -88,7 +88,7 @@ os.remove("myraster.tif")
 
 ## Create from {class}`~numpy.ndarray`
 
-A {class}`~geoutils.Raster` is created from an array by calling the class method {func}`~geoutils.Raster.from_array` and passing the 
+A {class}`~geoutils.Raster` is created from an array by calling the class method {func}`~geoutils.Raster.from_array` and passing the
 {ref}`four main attributes<raster-obj-def>`.
 
 ```{code-cell} ipython3
@@ -113,8 +113,8 @@ raster
 ```
 
 ```{important}
-The {attr}`~geoutils.Raster.data` attribute can be passed as an unmasked {class}`~numpy.ndarray`. That array will be converted to a {class}`~numpy.ma.MaskedArray` 
-with a {class}`~numpy.ma.MaskedArray.mask` on all {class}`~numpy.nan` and {class}`~numpy.inf` in the {attr}`~geoutils.Raster.data`, and on all values 
+The {attr}`~geoutils.Raster.data` attribute can be passed as an unmasked {class}`~numpy.ndarray`. That array will be converted to a {class}`~numpy.ma.MaskedArray`
+with a {class}`~numpy.ma.MaskedArray.mask` on all {class}`~numpy.nan` and {class}`~numpy.inf` in the {attr}`~geoutils.Raster.data`, and on all values
 matching the {attr}`~geoutils.Raster.nodata` value passed to {func}`~geoutils.Raster.from_array`.
 ```
 
@@ -127,7 +127,7 @@ The array of a {class}`~geoutils.Raster` is available in {class}`~geoutils.Raste
 raster.data
 ```
 
-For those less familiar with {class}`MaskedArrays<numpy.ma.MaskedArray>` and the associated functions in NumPy, an unmasked {class}`~numpy.ndarray` filled with 
+For those less familiar with {class}`MaskedArrays<numpy.ma.MaskedArray>` and the associated functions in NumPy, an unmasked {class}`~numpy.ndarray` filled with
 {class}`~numpy.nan` on masked values can be extracted using {func}`~geoutils.Raster.get_nanarray`.
 
 ```{code-cell} ipython3
@@ -136,19 +136,19 @@ raster.get_nanarray()
 ```
 
 ```{important}
-Getting a {class}`~numpy.ndarray` filled with {class}`~numpy.nan` will automatically cast the {class}`dtype<numpy.dtype>` to {class}`numpy.float32`. This 
+Getting a {class}`~numpy.ndarray` filled with {class}`~numpy.nan` will automatically cast the {class}`dtype<numpy.dtype>` to {class}`numpy.float32`. This
 might result in larger memory usage than in the original {class}`~geoutils.Raster` (if of {class}`int` type).
 
-Thanks to the {ref}`core-array-funcs`, **NumPy functions applied directly to a {class}`~geoutils.Raster` will respect {class}`~geoutils.Raster.nodata` 
+Thanks to the {ref}`core-array-funcs`, **NumPy functions applied directly to a {class}`~geoutils.Raster` will respect {class}`~geoutils.Raster.nodata`
 values** as well as if computing with the {class}`~numpy.ma.MaskedArray` or an unmasked {class}`~numpy.ndarray` filled with {class}`~numpy.nan`.
 
-Additionally, the {class}`~geoutils.Raster` will automatically cast between different {class}`dtypes<numpy.dtype>`, and possibly re-define missing 
+Additionally, the {class}`~geoutils.Raster` will automatically cast between different {class}`dtypes<numpy.dtype>`, and possibly re-define missing
 {class}`nodatas<geoutils.Raster.nodata>`.
 ```
 
 ## Arithmetic
 
-A {class}`~geoutils.Raster` can be applied any pythonic arithmetic operation ({func}`+<operator.add>`, {func}`-<operator.sub>`, {func}`/<operator.truediv>`, {func}`//<operator.floordiv>`, {func}`*<operator.mul>`, 
+A {class}`~geoutils.Raster` can be applied any pythonic arithmetic operation ({func}`+<operator.add>`, {func}`-<operator.sub>`, {func}`/<operator.truediv>`, {func}`//<operator.floordiv>`, {func}`*<operator.mul>`,
 {func}`**<operator.pow>`, {func}`%<operator.mod>`) with another {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or number. It will output one or two {class}`Rasters<geoutils.Raster>`. NumPy coercion rules apply for {class}`dtypes<numpy.dtype>`.
 
 ```{code-cell} ipython3
@@ -156,7 +156,7 @@ A {class}`~geoutils.Raster` can be applied any pythonic arithmetic operation ({f
 (raster + 1)/2
 ```
 
-A {class}`~geoutils.Raster` can also be applied any pythonic logical comparison operation ({func}`==<operator.eq>`, {func}` != <operator.ne>`, {func}`>=<operator.ge>`, {func}`><operator.gt>`, {func}`<=<operator.le>`, 
+A {class}`~geoutils.Raster` can also be applied any pythonic logical comparison operation ({func}`==<operator.eq>`, {func}` != <operator.ne>`, {func}`>=<operator.ge>`, {func}`><operator.gt>`, {func}`<=<operator.le>`,
 {func}`<<operator.lt>`) with another {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or number. It will cast to a {class}`~geoutils.Mask`.
 
 ```{code-cell} ipython3
@@ -168,7 +168,7 @@ See {ref}`core-py-ops` for more details.
 
 ## Array interface
 
-A {class}`~geoutils.Raster` can be applied any NumPy universal functions and most mathematical, logical or masked-array functions with another 
+A {class}`~geoutils.Raster` can be applied any NumPy universal functions and most mathematical, logical or masked-array functions with another
 {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or number.
 
 ```{code-cell} ipython3
@@ -187,12 +187,12 @@ See {ref}`core-array-funcs` for more details.
 
 ## Reproject
 
-Reprojecting a {class}`~geoutils.Raster` is done through the{func}`~geoutils.Raster.reproject`, which enforces new {attr}`~geoutils.Raster.transform` and/or 
+Reprojecting a {class}`~geoutils.Raster` is done through the{func}`~geoutils.Raster.reproject`, which enforces new {attr}`~geoutils.Raster.transform` and/or
 {class}`~geoutils.Raster.crs`.
 
 ```{important}
 As with all geospatial handling methods, the {func}`~geoutils.Raster.reproject` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.
-Vector` as argument. 
+Vector` as argument.
 
 A {class}`~geoutils.Raster` reference will enforce to match its {attr}`~geoutils.Raster.transform` and {class}`~geoutils.Raster.crs`.
 A {class}`~geoutils.Vector` reference will enforce to match its {attr}`~geoutils.Vector.bounds` and {class}`~geoutils.Vector.crs`.
@@ -200,7 +200,7 @@ A {class}`~geoutils.Vector` reference will enforce to match its {attr}`~geoutils
 See {ref}`core-match-ref` for more details.
 ```
 
-The {func}`~geoutils.Raster.reproject` function can also be passed any individual arguments such as `dst_bounds`, to enforce specific georeferencing 
+The {func}`~geoutils.Raster.reproject` function can also be passed any individual arguments such as `dst_bounds`, to enforce specific georeferencing
 attributes. For more details, see the {ref}`specific section and function descriptions in the API<api-geo-handle>`.
 
 ```{code-cell} ipython3
@@ -212,8 +212,8 @@ print(raster.bounds)
 ```{code-cell} ipython3
 # Reproject to smaller bounds and higher resolution
 raster_reproj = raster.reproject(
-    dst_res=0.1, 
-    dst_bounds={"left": 0, "bottom": 0, "right": 0.75, "top": 0.75}, 
+    dst_res=0.1,
+    dst_bounds={"left": 0, "bottom": 0, "right": 0.75, "top": 0.75},
     resampling="cubic")
 raster_reproj
 ```
@@ -225,7 +225,7 @@ print(raster.bounds)
 ```
 
 ```{note}
-In GeoUtils, `"bilinear"` is the default resampling method. A simple {class}`str` matching the naming of a {class}`rasterio.enums.Resampling` method can be 
+In GeoUtils, `"bilinear"` is the default resampling method. A simple {class}`str` matching the naming of a {class}`rasterio.enums.Resampling` method can be
 passed.
 
 Resampling methods are listed in **[the dedicated section of Rasterio's API](https://rasterio.readthedocs.io/en/latest/api/rasterio.enums.html#rasterio.enums.Resampling)**.
@@ -233,15 +233,15 @@ Resampling methods are listed in **[the dedicated section of Rasterio's API](htt
 
 ## Crop
 
-Cropping a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster.crop` function, which enforces new {attr}`~geoutils.Raster.bounds`. 
+Cropping a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster.crop` function, which enforces new {attr}`~geoutils.Raster.bounds`.
 
 ```{important}
-As with all geospatial handling methods, the {func}`~geoutils.Raster.reproject` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as argument. 
+As with all geospatial handling methods, the {func}`~geoutils.Raster.reproject` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as argument.
 
 See {ref}`core-match-ref` for more details.
 ```
 
-The {func}`~geoutils.Raster.crop` function can also be passed a {class}`list` or {class}`tuple` of bounds (`xmin`, `ymin`, `xmax`, `ymax`). 
+The {func}`~geoutils.Raster.crop` function can also be passed a {class}`list` or {class}`tuple` of bounds (`xmin`, `ymin`, `xmax`, `ymax`).
 For more details, see the {ref}`specific section and function descriptions in the API<api-geo-handle>`.
 
 
@@ -253,13 +253,13 @@ raster_crop
 
 ## Polygonize
 
-Polygonizing a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster.polygonize` function, which converts target pixels into a multi-polygon 
+Polygonizing a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster.polygonize` function, which converts target pixels into a multi-polygon
 {class}`~geoutils.Vector`.
 
 By default, values equal to `1` are used.
 
 ```{note}
-For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.polygonize` implicitly targets `True` values and thus does not require target pixels. See 
+For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.polygonize` implicitly targets `True` values and thus does not require target pixels. See
 {ref}`mask-class-poly-overloaded`.
 ```
 
@@ -272,11 +272,11 @@ vector_lt_100
 
 ## Proximity
 
-Computing proximity from a {class}`~geoutils.Raster` is done through by the {func}`~geoutils.Raster.proximity` function, which computes the distance to any 
+Computing proximity from a {class}`~geoutils.Raster` is done through by the {func}`~geoutils.Raster.proximity` function, which computes the distance to any
 target pixels in the {class}`~geoutils.Raster`.
 
 ```{note}
-For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.proximity` implicitly targets `True` values and thus does not require target pixels. See 
+For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.proximity` implicitly targets `True` values and thus does not require target pixels. See
 {ref}`mask-class-prox-overloaded`.
 ```
 
@@ -299,7 +299,7 @@ proximity_lt_100_from_vector
 Interpolating or extracting {class}`~geoutils.Raster` values at specific points can be done through:
 - the {func}`~geoutils.Raster.value_at_coords` function, who extracts the single closest pixel or a surrounding window for each coordinate, on which
   can be applied reducing any function ({func}`numpy.ma.mean` by default), or
-- the {func}`~geoutils.Raster.interp_points` function, who interpolates the {class}`~geoutils.Raster`'s regular grid to each coordinate using a 
+- the {func}`~geoutils.Raster.interp_points` function, who interpolates the {class}`~geoutils.Raster`'s regular grid to each coordinate using a
   resampling algorithm.
 
 ```{code-cell} ipython3
@@ -313,7 +313,7 @@ raster_reproj.interp_points([(0.5, 0.5)], mode="quintic")
 ```
 
 ```{note}
-Both {func}`~geoutils.Raster.value_at_coords` and {func}`~geoutils.Raster.interp_points` can be passed a single coordinate as {class}`floats<float>`, or a 
+Both {func}`~geoutils.Raster.value_at_coords` and {func}`~geoutils.Raster.interp_points` can be passed a single coordinate as {class}`floats<float>`, or a
 {class}`list` of coordinates.
 ```
 
@@ -322,8 +322,8 @@ Both {func}`~geoutils.Raster.value_at_coords` and {func}`~geoutils.Raster.interp
 A {class}`~geoutils.Raster` can be exported to different formats, to facilitate inter-compatibility with different packages and code versions.
 
 Those include exporting to:
-- a {class}`xarray.Dataset` with {class}`~geoutils.Raster.to_xarray`, 
-- a {class}`rasterio.io.DatasetReader` with {class}`~geoutils.Raster.to_rio_dataset`, 
+- a {class}`xarray.Dataset` with {class}`~geoutils.Raster.to_xarray`,
+- a {class}`rasterio.io.DatasetReader` with {class}`~geoutils.Raster.to_rio_dataset`,
 - a {class}`numpy.ndarray` or {class}`geoutils.Vector` as a point cloud with {class}`~geoutils.Raster.to_points`.
 
 ```{code-cell} ipython3
@@ -335,6 +335,3 @@ raster_reproj.to_rio_dataset()
 # Export to geopandas dataframe
 raster_reproj.to_points()
 ```
-
-
-
diff --git a/doc/source/rasters_index.md b/doc/source/rasters_index.md
index 48b5555c7..f48c4e0ff 100644
--- a/doc/source/rasters_index.md
+++ b/doc/source/rasters_index.md
@@ -5,8 +5,8 @@
 
 ```{toctree}
 :maxdepth: 2
-    
+
 raster_class
 mask_class
 satimg_class
-```
\ No newline at end of file
+```
diff --git a/doc/source/satimg_class.md b/doc/source/satimg_class.md
index 4aa791ff0..42a90aefe 100644
--- a/doc/source/satimg_class.md
+++ b/doc/source/satimg_class.md
@@ -14,7 +14,7 @@ Below, a summary of the {class}`~geoutils.SatelliteImage` object and its methods
 A {class}`~geoutils.SatelliteImage` is a subclass of {class}`~geoutils.Raster` that contains all its main attributes, and retains additional ones:
 - a {class}`numpy.datetime64` as {class}`~geoutils.SatelliteImage.datetime`, and
 - several {class}`strings<str>` for`~geoutils.SatelliteImage.satellite`,  {class}`~geoutils.SatelliteImage.sensor`, {class}`~geoutils.SatelliteImage. version`, {class}`~geoutils.SatelliteImage.tile_name` and {class}`~geoutils.SatelliteImage.product`.
- 
+
 A {class}`~geoutils.SatelliteImage` also inherits the same derivative attributes as a {class}`~geoutils.Raster`.
 
 ## Metadata parsing
@@ -34,7 +34,7 @@ Right now are supported:
 
 The {class}`~geoutils.SatelliteImage.datetime` is always parsed or deduced.
 
-For tiled products such as SRTM, the tile naming is also retrieved, which can be converted to geographic extent with {func}`geoutils.georaster.satimg.parse_tile_attr_from_name`. 
+For tiled products such as SRTM, the tile naming is also retrieved, which can be converted to geographic extent with {func}`geoutils.georaster.satimg.parse_tile_attr_from_name`.
 
 ```{code-cell} ipython3
 import geoutils as gu
@@ -49,6 +49,6 @@ geoimg2 = gu.SatelliteImage(gu.examples.get_path("everest_landsat_b4"), silent=F
 ```
 
 ```{important}
-The {class}`~geoutils.SatelliteImage` class is still in development, and we hope to further refine it in the future using metadata classes able to parse 
+The {class}`~geoutils.SatelliteImage` class is still in development, and we hope to further refine it in the future using metadata classes able to parse
 auxiliary files metadata (such as [here](https://github.com/jlandmann/glaciersat/blob/master/glaciersat/core/imagery.py)).
 ```
diff --git a/doc/source/vector_class.md b/doc/source/vector_class.md
index 8050b83b2..cd1bc4b8d 100644
--- a/doc/source/vector_class.md
+++ b/doc/source/vector_class.md
@@ -31,7 +31,7 @@ and to allow the addition of more complex vector functionalities.
 
 ## Rasterize
 
-The {func}`~geoutils.Vector.rasterize` operation to convert from {class}`~geoutils.Vector` to {class}`~geoutils.Raster` inherently requires a 
+The {func}`~geoutils.Vector.rasterize` operation to convert from {class}`~geoutils.Vector` to {class}`~geoutils.Raster` inherently requires a
 {attr}`~geoutils.Raster.res` or {attr}`~geoutils.Raster.shape` attribute to define the grid. While those can be passed on their own.
 
 ## Proximity
@@ -41,5 +41,3 @@ The {func}`~geoutils.Vector.rasterize` operation to convert from {class}`~geouti
 
 
 ## Buffering
-
-
diff --git a/doc/source/vectors_index.md b/doc/source/vectors_index.md
index 955a100e0..5b0ee1b31 100644
--- a/doc/source/vectors_index.md
+++ b/doc/source/vectors_index.md
@@ -6,4 +6,4 @@
 :maxdepth: 2
 
 vector_class
-```
\ No newline at end of file
+```
diff --git a/examples/analysis/README.rst b/examples/analysis/README.rst
index a66dffd93..8aa59895e 100644
--- a/examples/analysis/README.rst
+++ b/examples/analysis/README.rst
@@ -5,4 +5,4 @@ Examples about **numerical operations** on rasters, and **additional analysis fe
 
 Some examples rely on NumPy or pythonic operators on :class:`Rasters<geoutils.Raster>` (see :ref:`core-py-ops` and :ref:`core-array-funcs`).
 
-Others also benefit from match-reference (see :ref:`core-match-ref`).
\ No newline at end of file
+Others also benefit from match-reference (see :ref:`core-match-ref`).
diff --git a/examples/analysis/array_numerics/README.rst b/examples/analysis/array_numerics/README.rst
index 7ab702432..1d67e5a0f 100644
--- a/examples/analysis/array_numerics/README.rst
+++ b/examples/analysis/array_numerics/README.rst
@@ -1,2 +1,2 @@
 Raster numerics
----------------
\ No newline at end of file
+---------------
diff --git a/examples/analysis/array_numerics/numpy_interfacing.py b/examples/analysis/array_numerics/numpy_interfacing.py
index 3f6a68665..7d4a702bb 100644
--- a/examples/analysis/array_numerics/numpy_interfacing.py
+++ b/examples/analysis/array_numerics/numpy_interfacing.py
@@ -8,10 +8,11 @@
 # %%
 # We open a raster
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
 
 # %% We plot the original raster.
-rast.show(cmap='terrain')
+rast.show(cmap="terrain")
 
 # %%
 # NumPy interfacing allows to use any NumPy function directly on the raster
@@ -26,7 +27,7 @@
 # We copy the new array into a raster
 asp = rast.copy(new_array=aspect)
 
-asp.show(cmap='twilight', cbar_title="Aspect (degrees)")
+asp.show(cmap="twilight", cbar_title="Aspect (degrees)")
 
 # %%
 #
@@ -43,5 +44,3 @@
 # We plot the mask.
 
 # mask.show()
-
-
diff --git a/examples/analysis/array_numerics/python_arithmetic.py b/examples/analysis/array_numerics/python_arithmetic.py
index 47b539b0a..e632165a8 100644
--- a/examples/analysis/array_numerics/python_arithmetic.py
+++ b/examples/analysis/array_numerics/python_arithmetic.py
@@ -8,16 +8,17 @@
 # %%
 # We open a raster
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
 rast
 
 # %% We plot the original raster.
-rast.show(cmap='Greys_r')
+rast.show(cmap="Greys_r")
 
 # %%
 # Performing arithmetic operations implicitly loads the data.
-rast = (rast + 1.)**0.5 / 5
-rast.show(cmap='Greys_r')
+rast = (rast + 1.0) ** 0.5 / 5
+rast.show(cmap="Greys_r")
 
 # %%
 #
diff --git a/examples/analysis/geospatial/README.rst b/examples/analysis/geospatial/README.rst
index 51e73b398..21ae13c58 100644
--- a/examples/analysis/geospatial/README.rst
+++ b/examples/analysis/geospatial/README.rst
@@ -1,2 +1,2 @@
 Distance estimation
--------------------
\ No newline at end of file
+-------------------
diff --git a/examples/analysis/geospatial/buffer_voronoi.py b/examples/analysis/geospatial/buffer_voronoi.py
index 940dbfd7d..068ae418c 100644
--- a/examples/analysis/geospatial/buffer_voronoi.py
+++ b/examples/analysis/geospatial/buffer_voronoi.py
@@ -8,6 +8,7 @@
 # %%
 # We open an example vector
 import geoutils as gu
+
 vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
 
 # %%
@@ -18,18 +19,19 @@
 # %%
 # Let's plot the raster and vector
 ax = vect.ds.plot()
-vect_buff.ds.plot(ax=ax, ec='k', fc='none')
+vect_buff.ds.plot(ax=ax, ec="k", fc="none")
 
 # %%
 # Many buffers are overlapping. To compute a buffer without overlap, one can use :func:`~geoutils.Vector.buffer_without_overlap`.
 #
 vect_buff_nolap = vect.buffer_without_overlap(buffer_size=500)
 ax = vect_buff_nolap.ds.plot()
-vect.ds.plot(ax=ax, ec='k', fc='none')
+vect.ds.plot(ax=ax, ec="k", fc="none")
 
 # %%
 # We plot with color to see that the attributes are retained for every feature.
 import matplotlib.pyplot as plt
+
 ax = vect_buff_nolap.ds.plot(column="RGIId")
-vect.ds.plot(ax=ax, ec='k', column="RGIId", alpha=0.5)
-plt.show()
\ No newline at end of file
+vect.ds.plot(ax=ax, ec="k", column="RGIId", alpha=0.5)
+plt.show()
diff --git a/examples/analysis/geospatial/proximity_metric.py b/examples/analysis/geospatial/proximity_metric.py
index ee7815b47..37d754463 100644
--- a/examples/analysis/geospatial/proximity_metric.py
+++ b/examples/analysis/geospatial/proximity_metric.py
@@ -8,6 +8,7 @@
 # %%
 # We open an example raster, and a vector for which we select a single feature
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
 vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
 vect = gu.Vector(vect.ds[vect.ds["RGIId"] == "RGI60-15.10055"])
@@ -15,9 +16,10 @@
 
 # Plot the raster and vector
 import matplotlib.pyplot as plt
+
 ax = plt.gca()
 rast.show(ax=ax, cmap="Blues")
-vect.reproject(rast).ds.plot(ax=ax, fc='none', ec='k', lw=2)
+vect.reproject(rast).ds.plot(ax=ax, fc="none", ec="k", lw=2)
 
 # %%
 # We use the raster as a reference to match for rasterizing the proximity distances with :func:`~geoutils.Vector.proximity`. See :ref:`core-match-ref` for more details.
@@ -30,6 +32,7 @@
 
 # Get mask of pixels within 30 of 200 infrared
 import numpy as np
+
 mask_200 = np.abs(rast - 200) < 30
 mask_200.show()
 
@@ -43,5 +46,5 @@
 # By default, proximity is computed using the georeference unit from a :class:`~geoutils.Raster`'s :attr:`~geoutils.Raster.res`, here **meters**. It can also
 # be computed in pixels.
 
-proximity_mask = mask_200.proximity(distance_unit='pixel')
+proximity_mask = mask_200.proximity(distance_unit="pixel")
 proximity_mask.show(cmap="viridis")
diff --git a/examples/analysis/point_extraction/README.rst b/examples/analysis/point_extraction/README.rst
index 37fd6dacd..61a01bc92 100644
--- a/examples/analysis/point_extraction/README.rst
+++ b/examples/analysis/point_extraction/README.rst
@@ -1,2 +1,2 @@
 Point extraction
-----------------
\ No newline at end of file
+----------------
diff --git a/examples/analysis/point_extraction/interpolation.py b/examples/analysis/point_extraction/interpolation.py
index 4993dd8cf..9f48c36f2 100644
--- a/examples/analysis/point_extraction/interpolation.py
+++ b/examples/analysis/point_extraction/interpolation.py
@@ -8,8 +8,9 @@
 # %%
 # We open an example raster, a digital elevation model in South America
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
-rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left+2000, rast.bounds.bottom+2000])
+rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left + 2000, rast.bounds.bottom + 2000])
 
 # Plot the raster
 rast.show(cmap="terrain")
@@ -17,8 +18,9 @@
 # %%
 # We generate a random subsample of 100 points to interpolate, and extract the coordinates
 
-import numpy as np
 import geopandas as gpd
+import numpy as np
+
 # Replace by Raster function once done (valid coords)
 np.random.seed(42)
 x_coords = np.random.uniform(rast.bounds.left + 50, rast.bounds.right - 50, 50)
@@ -30,7 +32,7 @@
 # Replace by Vector function once done
 ds = gpd.GeoDataFrame(geometry=gpd.points_from_xy(x=x_coords, y=y_coords), crs=rast.crs)
 ds["vals"] = vals
-ds.plot(column="vals", cmap="terrain", legend=True, vmin=np.nanmin(rast), vmax=np.nanmax(rast), marker='x')
+ds.plot(column="vals", cmap="terrain", legend=True, vmin=np.nanmin(rast), vmax=np.nanmax(rast), marker="x")
 
 # %%
 # .. important::
@@ -50,4 +52,4 @@
 np.nanmean(vals - vals_shifted)
 
 # %%
-# The mean difference in interpolated values is quite significant, with a 2 meter bias!
\ No newline at end of file
+# The mean difference in interpolated values is quite significant, with a 2 meter bias!
diff --git a/examples/analysis/point_extraction/reduction.py b/examples/analysis/point_extraction/reduction.py
index 9090eff28..0fe084d89 100644
--- a/examples/analysis/point_extraction/reduction.py
+++ b/examples/analysis/point_extraction/reduction.py
@@ -8,8 +8,9 @@
 # %%
 # We open an example raster, a digital elevation model in South America
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
-rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left+2000, rast.bounds.bottom+2000])
+rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left + 2000, rast.bounds.bottom + 2000])
 
 # Plot the raster
 rast.show(cmap="terrain")
@@ -17,8 +18,9 @@
 # %%
 # We generate a random subsample of 100 coordinates to extract
 
-import numpy as np
 import geopandas as gpd
+import numpy as np
+
 # Replace by Raster function once done
 np.random.seed(42)
 x_coords = np.random.uniform(rast.bounds.left + 50, rast.bounds.right - 50, 50)
@@ -49,7 +51,11 @@
 x_closest = rast.copy(new_array=coords[0]).value_at_coords(x=x_coords, y=y_coords)
 y_closest = rast.copy(new_array=coords[1]).value_at_coords(x=x_coords, y=y_coords)
 from shapely import box
-geometry = [box(x - 2*rast.res[0], y - 2*rast.res[1], x + 2*rast.res[0], y + 2*rast.res[1]) for x, y in zip(x_closest, y_closest)]
+
+geometry = [
+    box(x - 2 * rast.res[0], y - 2 * rast.res[1], x + 2 * rast.res[0], y + 2 * rast.res[1])
+    for x, y in zip(x_closest, y_closest)
+]
 ds = gpd.GeoDataFrame(geometry=geometry, crs=rast.crs)
 ds["vals"] = vals_reduced
 ds.plot(column="vals", cmap="terrain", legend=True, vmin=np.nanmin(rast), vmax=np.nanmax(rast))
diff --git a/examples/handling/README.rst b/examples/handling/README.rst
index 957209c13..6a555e5c4 100644
--- a/examples/handling/README.rst
+++ b/examples/handling/README.rst
@@ -3,4 +3,4 @@ Handling
 
 Examples about **warping**, **reprojecting**, **resampling**, **cropping**, as well as **rasterizing** and **polygonizing** of georeferenced data.
 
-All of these methods support simply passing a reference to match (see :ref:`core-match-ref`).
\ No newline at end of file
+All of these methods support simply passing a reference to match (see :ref:`core-match-ref`).
diff --git a/examples/handling/georeferencing/README.rst b/examples/handling/georeferencing/README.rst
index 9ab18adb8..1c1ac7d3f 100644
--- a/examples/handling/georeferencing/README.rst
+++ b/examples/handling/georeferencing/README.rst
@@ -1,2 +1,2 @@
 Geo-transformations
--------------------
\ No newline at end of file
+-------------------
diff --git a/examples/handling/georeferencing/crop_raster.py b/examples/handling/georeferencing/crop_raster.py
index 2bcebbebf..2aeefbee3 100644
--- a/examples/handling/georeferencing/crop_raster.py
+++ b/examples/handling/georeferencing/crop_raster.py
@@ -8,6 +8,7 @@
 # %%
 # We open a raster and vector, and subset the latter.
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
 vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
 vect = gu.Vector(vect.ds[vect.ds["RGIId"] == "RGI60-15.10055"])
@@ -20,8 +21,9 @@
 # %%
 # Let's plot the raster and vector.
 import matplotlib.pyplot as plt
+
 rast.show(cmap="Purples")
-vect.show(ref_crs=rast, fc='none', ec='k', lw=2)
+vect.show(ref_crs=rast, fc="none", ec="k", lw=2)
 
 # %%
 # **First option:** using the second raster as a reference to match, we reproject the first one. We simply have to pass the second :class:`~geoutils.Raster`
@@ -37,7 +39,7 @@
 #
 
 rast.show(ax="new", cmap="Purples")
-vect.show(ref_crs=rast, fc='none', ec='k', lw=2)
+vect.show(ref_crs=rast, fc="none", ec="k", lw=2)
 
 # %%
 # **Second option:** we can pass other ``crop_geom`` argument to :func:`~geoutils.Raster.crop`, including another :class:`~geoutils.Raster` or a
@@ -46,4 +48,4 @@
 rast.crop((rast.bounds.left + 1000, rast.bounds.bottom, rast.bounds.right, rast.bounds.top - 500))
 
 rast.show(ax="new", cmap="Purples")
-vect.show(ref_crs=rast, fc='none', ec='k', lw=2)
+vect.show(ref_crs=rast, fc="none", ec="k", lw=2)
diff --git a/examples/handling/georeferencing/crop_vector.py b/examples/handling/georeferencing/crop_vector.py
index 767b2738f..fd3cf2290 100644
--- a/examples/handling/georeferencing/crop_vector.py
+++ b/examples/handling/georeferencing/crop_vector.py
@@ -8,13 +8,14 @@
 # %%
 # We open a raster and vector.
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
 vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
 
 # %%
 # Let's plot the raster and vector. The raster has smaller extent than the vector.
 rast.show(cmap="Greys_r", alpha=0.7)
-vect.show(ref_crs=rast, fc='none', ec='tab:purple', lw=3)
+vect.show(ref_crs=rast, fc="none", ec="tab:purple", lw=3)
 
 # %%
 # **First option:** using the raster as a reference to match, we crop the vector. We simply have to pass the :class:`~geoutils.Raster` as single argument to
@@ -28,7 +29,7 @@
 #
 
 rast.show(ax="new", cmap="Greys_r", alpha=0.7)
-vect.show(ref_crs=rast, fc='none', ec='tab:purple', lw=3)
+vect.show(ref_crs=rast, fc="none", ec="tab:purple", lw=3)
 
 # %%
 # The :func:`~geoutils.Vector.crop` keeps all features with geometries intersecting the extent to crop to. We can also force a clipping of the geometries
@@ -36,17 +37,14 @@
 
 vect.crop(rast, clip=True)
 rast.show(ax="new", cmap="Greys_r", alpha=0.7)
-vect.show(ref_crs=rast, fc='none', ec='tab:purple', lw=3)
+vect.show(ref_crs=rast, fc="none", ec="tab:purple", lw=3)
 
 # %%
 # **Second option:** we can pass other ``crop_geom`` argument to :func:`~geoutils.Vector.crop`, including another :class:`~geoutils.Vector` or a
 # simple :class:`tuple` of bounds.
 
 bounds = rast.get_bounds_projected(out_crs=vect.crs)
-vect.crop(cropGeom=(bounds.left + 0.5*(bounds.right - bounds.left),
-                    bounds.bottom,
-                    bounds.right,
-                    bounds.top))
+vect.crop(cropGeom=(bounds.left + 0.5 * (bounds.right - bounds.left), bounds.bottom, bounds.right, bounds.top))
 
 rast.show(ax="new", cmap="Greys_r", alpha=0.7)
-vect.show(ref_crs=rast, fc='none', ec='tab:purple', lw=3)
+vect.show(ref_crs=rast, fc="none", ec="tab:purple", lw=3)
diff --git a/examples/handling/georeferencing/reproj_raster.py b/examples/handling/georeferencing/reproj_raster.py
index c248a267f..f996021c1 100644
--- a/examples/handling/georeferencing/reproj_raster.py
+++ b/examples/handling/georeferencing/reproj_raster.py
@@ -7,6 +7,7 @@
 # %%
 # We open two example rasters.
 import geoutils as gu
+
 rast1 = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
 rast2 = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
 
@@ -18,9 +19,10 @@
 # %%
 # Let's plot the first raster, with the warped extent of the second one.
 import matplotlib.pyplot as plt
+
 rast1.show(cmap="Blues")
 vect_bounds_rast2 = gu.Vector.from_bounds_projected(rast2)
-vect_bounds_rast2.show(fc='none', ec='r', lw=2)
+vect_bounds_rast2.show(fc="none", ec="r", lw=2)
 
 # %%
 # **First option:** using the second raster as a reference to match, we reproject the first one. We simply have to pass the second :class:`~geoutils.Raster`
diff --git a/examples/handling/georeferencing/reproj_vector.py b/examples/handling/georeferencing/reproj_vector.py
index 7bdc8f35a..a398a6aa5 100644
--- a/examples/handling/georeferencing/reproj_vector.py
+++ b/examples/handling/georeferencing/reproj_vector.py
@@ -9,6 +9,7 @@
 # %%
 # We open a raster and vector.
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
 vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
 
@@ -20,8 +21,9 @@
 # %%
 # Let's plot the two in their original projection.
 import matplotlib.pyplot as plt
+
 rast.show(cmap="Greys_r")
-vect.show(ref_crs=rast, fc='none', ec='tab:purple', lw=3)
+vect.show(ref_crs=rast, fc="none", ec="tab:purple", lw=3)
 
 # %%
 # **First option:** using the raster as a reference to match, we reproject the vector. We simply have to pass the :class:`~geoutils.Raster` as an argument
@@ -32,7 +34,7 @@
 # %%
 # We can plot the vector in its new projection.
 
-vect_reproj.show(ax="new", fc='none', ec='tab:purple', lw=3)
+vect_reproj.show(ax="new", fc="none", ec="tab:purple", lw=3)
 
 # %%
 # **Second option:** we can pass the georeferencing argument ``dst_crs`` to :func:`~geoutils.Vector.reproject` (an EPSG code can be passed directly as
@@ -40,4 +42,4 @@
 
 # Reproject in UTM zone 45N
 vect_reproj = vect.reproject(dst_crs=32645)
-vect_reproj
\ No newline at end of file
+vect_reproj
diff --git a/examples/handling/interface/README.rst b/examples/handling/interface/README.rst
index c32885faf..20a0dbd58 100644
--- a/examples/handling/interface/README.rst
+++ b/examples/handling/interface/README.rst
@@ -1,2 +1,2 @@
 Raster-vector interfacing
--------------------------
\ No newline at end of file
+-------------------------
diff --git a/examples/handling/interface/create_mask.py b/examples/handling/interface/create_mask.py
index 3b0765399..a21a56d79 100644
--- a/examples/handling/interface/create_mask.py
+++ b/examples/handling/interface/create_mask.py
@@ -8,13 +8,14 @@
 # %%
 # We open a raster and vector.
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
 vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
 
 # %%
 # Let's plot the raster and vector.
 rast.show(cmap="Purples")
-vect.show(ref_crs=rast, fc='none', ec='k', lw=2)
+vect.show(ref_crs=rast, fc="none", ec="k", lw=2)
 
 # %%
 # **First option:** using the raster as a reference to match, we create a mask for the vector in any projection and georeferenced grid. We simply have to pass
diff --git a/examples/handling/interface/polygonize.py b/examples/handling/interface/polygonize.py
index 259de5e8b..0d241a2ae 100644
--- a/examples/handling/interface/polygonize.py
+++ b/examples/handling/interface/polygonize.py
@@ -8,8 +8,9 @@
 # %%
 # We open a raster.
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
-rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left+5000, rast.bounds.bottom+5000])
+rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left + 5000, rast.bounds.bottom + 5000])
 # %%
 # Let's plot the raster.
 rast.show(cmap="terrain")
@@ -36,4 +37,4 @@
 
 # %%
 # .. note::
-#           See :ref:`core-py-ops` for more details on casting to :func:`~geoutils.Mask`.
\ No newline at end of file
+#           See :ref:`core-py-ops` for more details on casting to :func:`~geoutils.Mask`.
diff --git a/examples/handling/interface/rasterize.py b/examples/handling/interface/rasterize.py
index ed9f915be..e7489d623 100644
--- a/examples/handling/interface/rasterize.py
+++ b/examples/handling/interface/rasterize.py
@@ -8,13 +8,14 @@
 # %%
 # We open a raster and vector.
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
 vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
 
 # %%
 # Let's plot the raster and vector.
 rast.show(cmap="Purples")
-vect.show(ref_crs=rast, fc='none', ec='k', lw=2)
+vect.show(ref_crs=rast, fc="none", ec="k", lw=2)
 
 # %%
 # **First option:** using the raster as a reference to match, we rasterize the vector in any projection and georeferenced grid. We simply have to pass the
diff --git a/examples/handling/interface/topoints.py b/examples/handling/interface/topoints.py
index d862910bc..4b58e2f00 100644
--- a/examples/handling/interface/topoints.py
+++ b/examples/handling/interface/topoints.py
@@ -8,8 +8,9 @@
 # %%
 # We open a raster.
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
-rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left+500, rast.bounds.bottom+500])
+rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left + 500, rast.bounds.bottom + 500])
 # %%
 # Let's plot the raster.
 rast.show(cmap="terrain")
diff --git a/examples/io/README.rst b/examples/io/README.rst
index e3556990b..57008f221 100644
--- a/examples/io/README.rst
+++ b/examples/io/README.rst
@@ -3,4 +3,4 @@ Input/output
 
 Examples about **opening**, **creating**, **loading** or **saving** geospatial data.
 
-With :class:`Rasters<geoutils.Raster>`, data is only loaded when necessary (see :ref:`core-lazy-load`).
\ No newline at end of file
+With :class:`Rasters<geoutils.Raster>`, data is only loaded when necessary (see :ref:`core-lazy-load`).
diff --git a/examples/io/import_export/README.rst b/examples/io/import_export/README.rst
index a805d05d2..777f8b964 100644
--- a/examples/io/import_export/README.rst
+++ b/examples/io/import_export/README.rst
@@ -1,2 +1,2 @@
 Import and export
------------------
\ No newline at end of file
+-----------------
diff --git a/examples/io/import_export/from_array.py b/examples/io/import_export/from_array.py
index 640f200ce..5e58c415f 100644
--- a/examples/io/import_export/from_array.py
+++ b/examples/io/import_export/from_array.py
@@ -5,12 +5,13 @@
 This example demonstrates the creation of a raster through :func:`~geoutils.Raster.from_array`.
 """
 
+import numpy as np
+import pyproj
+import rasterio as rio
+
 # %%
 # We create a data array as :class:`~numpy.ndarray`, a transform as :class:`affine.Affine` and a coordinate reference system (CRS) as :class:`pyproj.CRS`.
 import geoutils as gu
-import rasterio as rio
-import pyproj
-import numpy as np
 
 # A random 3 x 3 masked array
 np.random.seed(42)
@@ -21,12 +22,7 @@
 crs = pyproj.CRS.from_epsg(4326)
 
 # Create a raster
-rast = gu.Raster.from_array(
-        data = arr,
-        transform = transform,
-        crs = crs,
-        nodata = 255
-    )
+rast = gu.Raster.from_array(data=arr, transform=transform, crs=crs, nodata=255)
 rast
 
 # %%
@@ -45,12 +41,7 @@
 ma = np.ma.masked_array(data=arr, mask=mask)
 
 # This time, we pass directly the masked array
-rast = gu.Raster.from_array(
-        data = ma,
-        transform = transform,
-        crs = crs,
-        nodata = 255
-    )
+rast = gu.Raster.from_array(data=ma, transform=transform, crs=crs, nodata=255)
 rast
 
 # %%
diff --git a/examples/io/import_export/import_raster.py b/examples/io/import_export/import_raster.py
index f81340345..034194507 100644
--- a/examples/io/import_export/import_raster.py
+++ b/examples/io/import_export/import_raster.py
@@ -6,10 +6,11 @@
 :class:`~geoutils.Raster`.
 """
 
+import rasterio as rio
+
 # %%
 # A raster can be imported from a :class:`rasterio.io.DatasetReader` or :class:`rasterio.io.MemoryFile` simply by instantiating :class:`~geoutils.Raster`.
 import geoutils as gu
-import rasterio as rio
 
 ds = rio.DatasetReader(gu.examples.get_path("exploradores_aster_dem"))
 rast = gu.Raster(ds)
@@ -33,4 +34,4 @@
 # Finally, we can export a :class:`~geoutils.Raster` to a :class:`rasterio.io.DatasetReader` of a :class:`rasterio.io.MemoryFile` using
 # :class:`~geoutils.Raster.to_rio_dataset`
 
-rast.to_rio_dataset()
\ No newline at end of file
+rast.to_rio_dataset()
diff --git a/examples/io/import_export/import_vector.py b/examples/io/import_export/import_vector.py
index 818581626..af5a6e185 100644
--- a/examples/io/import_export/import_vector.py
+++ b/examples/io/import_export/import_vector.py
@@ -8,9 +8,10 @@
 # %%
 # A vector can be imported from a :class:`geopandas.GeoDataFrame` simply by instantiating :class:`~geoutils.Vector`.
 
-import geoutils as gu
 import geopandas as gpd
 
+import geoutils as gu
+
 ds = gpd.read_file(gu.examples.get_path("exploradores_rgi_outlines"))
 vect = gu.Vector(ds)
 vect
diff --git a/examples/io/open_save/README.rst b/examples/io/open_save/README.rst
index 06ea0aeed..ff68c4a82 100644
--- a/examples/io/open_save/README.rst
+++ b/examples/io/open_save/README.rst
@@ -1,2 +1,2 @@
 Open and save from files
-------------------------
\ No newline at end of file
+------------------------
diff --git a/examples/io/open_save/read_raster.py b/examples/io/open_save/read_raster.py
index 81308cf99..f0fb45b69 100644
--- a/examples/io/open_save/read_raster.py
+++ b/examples/io/open_save/read_raster.py
@@ -8,6 +8,7 @@
 # %%
 # We open an example raster. The data is, by default, unloaded.
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
 rast
 
@@ -37,4 +38,4 @@
 
 # %%
 # Finally, a raster is saved using :func:`~geoutils.Raster.save`:
-rast.save("myraster.tif")
\ No newline at end of file
+rast.save("myraster.tif")
diff --git a/examples/io/open_save/read_satimg.py b/examples/io/open_save/read_satimg.py
index 2d160ef7a..fab40cbac 100644
--- a/examples/io/open_save/read_satimg.py
+++ b/examples/io/open_save/read_satimg.py
@@ -11,6 +11,7 @@
 # We print the filename of our raster that, as often with satellite data, holds metadata information.
 filename = gu.examples.get_path("everest_landsat_b4")
 import os
+
 print(os.path.basename(filename))
 
 # %%
diff --git a/examples/io/open_save/read_vector.py b/examples/io/open_save/read_vector.py
index 3cdda9b12..b6fb21700 100644
--- a/examples/io/open_save/read_vector.py
+++ b/examples/io/open_save/read_vector.py
@@ -27,4 +27,4 @@
 # %%
 # Finally, a vector is saved using :func:`~geoutils.Vector.save`.
 
-# vect.save("myvector.shp")
\ No newline at end of file
+# vect.save("myvector.shp")
diff --git a/geoutils/georaster/__init__.py b/geoutils/georaster/__init__.py
index 87cc9171c..a02755db4 100644
--- a/geoutils/georaster/__init__.py
+++ b/geoutils/georaster/__init__.py
@@ -1,4 +1,4 @@
 from geoutils.georaster.raster import Raster, RasterType, Mask  # noqa isort:skip
-from geoutils.georaster.satimg import SatelliteImage
+from geoutils.georaster.satimg import SatelliteImage  # noqa
 
 __all__ = ["RasterType", "Raster"]
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 7fdfdb481..7459ffa21 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -44,6 +44,7 @@
 
 try:
     import rioxarray
+
     _has_rioxarray = True
 except ImportError:
     rioxarray = None
@@ -107,6 +108,7 @@
 ]
 handled_array_funcs = _HANDLED_FUNCTIONS_1NIN + _HANDLED_FUNCTIONS_2NIN
 
+
 # Function to set the default nodata values for any given dtype
 # Similar to GDAL for int types, but without absurdly long nodata values for floats.
 # For unsigned types, the maximum value is chosen (with a max of 99999).
@@ -195,7 +197,7 @@ def _load_rio(
     * resampling : to set the resampling algorithm
     """
     # If out_shape is passed, no need to account for transform and shape
-    if kwargs['out_shape'] is not None:
+    if kwargs["out_shape"] is not None:
         window = None
     else:
         if transform is not None and shape is not None:
@@ -489,7 +491,9 @@ def indexes_on_disk(self) -> None | tuple[int, ...]:
     def indexes(self) -> tuple[int, ...]:
         """Return the indexes of bands loaded in memory if they are, otherwise on disk."""
         if self._indexes is not None and not self.is_loaded:
-            return self._indexes
+            if isinstance(self._indexes, int):
+                return (self._indexes,)
+            return tuple(self._indexes)
         # if self._indexes_loaded is not None:
         #     if isinstance(self._indexes_loaded, int):
         #         return (self._indexes_loaded, )
@@ -627,19 +631,27 @@ def __repr__(self) -> str:
 
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
-            str_data = "not_loaded; shape on disk "+str(self._disk_shape)
+            str_data = "not_loaded; shape on disk " + str(self._disk_shape)
         else:
             str_data = "\n       ".join(self.data.__str__().split("\n"))
 
         # Above and below, we align left spaces for multi-line object representation (arrays) after return to lines
         # And call the class name for easier inheritance to subclasses (avoid overloading to just rewrite subclass name)
-        s = self.__class__.__name__+"(\n"+\
-            "  data=" + str_data +\
-            "\n  transform="+ "\n            ".join(self.transform.__str__().split("\n"))+\
-            "\n  crs=" + self.crs.__str__()+\
-            "\n  nodata=" + self.nodata.__str__()+")"
+        s = (
+            self.__class__.__name__
+            + "(\n"
+            + "  data="
+            + str_data
+            + "\n  transform="
+            + "\n            ".join(self.transform.__str__().split("\n"))
+            + "\n  crs="
+            + self.crs.__str__()
+            + "\n  nodata="
+            + self.nodata.__str__()
+            + ")"
+        )
 
-        return s
+        return str(s)
         # L = [getattr(self, item) for item in self._saved_attrs]
         # s: str = "{}.{}({})".format(type(self).__module__, type(self).__qualname__, ", ".join(map(str, L)))
 
@@ -650,18 +662,26 @@ def _repr_html_(self) -> str:
 
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
-            str_data = "<i>not_loaded; shape on disk "+str(self._disk_shape)+"</i>"
+            str_data = "<i>not_loaded; shape on disk " + str(self._disk_shape) + "</i>"
         else:
             str_data = "\n       ".join(self.data.__str__().split("\n"))
 
         # Over-ride Raster's method to remove nodata value (always None)
         # Use <pre> to keep white spaces, <span> to keep line breaks
-        s = '<pre><span style="white-space: pre-wrap"><b><em>'+self.__class__.__name__+'</em></b>(\n' + \
-            "  <b>data=</b>" + str_data + \
-            "\n  <b>transform=</b>" + "\n            ".join(self.transform.__str__().split("\n")) + \
-            "\n  <b>crs=</b>" + self.crs.__str__() + ")</span></pre>"
+        s = (
+            '<pre><span style="white-space: pre-wrap"><b><em>'
+            + self.__class__.__name__
+            + "</em></b>(\n"
+            + "  <b>data=</b>"
+            + str_data
+            + "\n  <b>transform=</b>"
+            + "\n            ".join(self.transform.__str__().split("\n"))
+            + "\n  <b>crs=</b>"
+            + self.crs.__str__()
+            + ")</span></pre>"
+        )
 
-        return s
+        return str(s)
 
     def __str__(self) -> str:
         """Provide simplified string for print() about Raster."""
@@ -671,7 +691,7 @@ def __str__(self) -> str:
         else:
             s = self.data.__str__()
 
-        return s
+        return str(s)
 
     def __getitem__(self, value: Raster | Vector | list[float] | tuple[float, ...]) -> np.ndarray | Raster:
         """Subset the Raster object: calls the crop method with default parameters"""
@@ -2119,7 +2139,8 @@ def show(
         :param alpha: Transparency of raster and colorbar.
         :param cbar_title: Colorbar label. Default is None.
         :param add_cbar: Set to True to display a colorbar. Default is True.
-        :param ax: A figure ax to be used for plotting. If None, will plot on current axes. If "new", will create a new axis.
+        :param ax: A figure ax to be used for plotting. If None, will plot on current axes.
+            If "new", will create a new axis.
         :param return_axes: Whether to return axes.
 
         :returns: None, or (ax, caxes) if return_axes is True
@@ -2221,6 +2242,8 @@ def show(
         # If returning axes
         if return_axes:
             return ax, cax
+        else:
+            return None
 
     def value_at_coords(
         self,
@@ -2369,7 +2392,11 @@ def format_value(value: Any) -> Any:
                 # if self.count == 1:
                 with rio.open(self.filename) as raster:
                     data = raster.read(
-                        window=rio_window, fill_value=self.nodata, boundless=boundless, masked=masked, indexes=index,
+                        window=rio_window,
+                        fill_value=self.nodata,
+                        boundless=boundless,
+                        masked=masked,
+                        indexes=index,
                     )
                 value = format_value(data)
                 win = data
@@ -2379,7 +2406,8 @@ def format_value(value: Any) -> Any:
                 #     with rio.open(self.filename) as raster:
                 #         for b in self.indexes:
                 #             data = raster.read(
-                #                 window=rio_window, fill_value=self.nodata, boundless=boundless, masked=masked, indexes=b
+                #                 window=rio_window, fill_value=self.nodata, boundless=boundless,
+                #                 masked=masked, indexes=b
                 #             )
                 #             val = format_value(data)
                 #             value[b] = val
@@ -2580,7 +2608,8 @@ def interp_points(
             returned is nan. Shape should be (N,2).
         :param input_latlon: Whether the input is in latlon, unregarding of Raster CRS
         :param mode: One of 'linear', 'cubic', or 'quintic'. Determines what type of spline is used to
-            interpolate the raster value at each point. For more information, see scipy.interpolate.interp2d. Default is linear.
+            interpolate the raster value at each point. For more information, see scipy.interpolate.interp2d.
+            Default is linear.
         :param index: The band to use (from 1 to self.count).
         :param shift_area_or_point: Shifts index to center pixel coordinates if GDAL's AREA_OR_POINT
             attribute (in self.tags) is "Point", keeps the corner pixel coordinate for "Area".
@@ -2762,12 +2791,14 @@ def to_points(
         points = np.vstack((x_coords.reshape(1, -1), y_coords.reshape(1, -1), pixel_data)).T
 
         if not as_array:
-            points = Vector(gpd.GeoDataFrame(
-                points[:, 2:],
-                columns=[f"b{i}" for i in range(1, pixel_data.shape[0] + 1)],
-                geometry=gpd.points_from_xy(points[:, 0], points[:, 1]),
-                crs=self.crs,
-            ))
+            points = Vector(
+                gpd.GeoDataFrame(
+                    points[:, 2:],
+                    columns=[f"b{i}" for i in range(1, pixel_data.shape[0] + 1)],
+                    geometry=gpd.points_from_xy(points[:, 0], points[:, 1]),
+                    crs=self.crs,
+                )
+            )
 
         return points
 
@@ -2883,7 +2914,6 @@ def proximity(
 
 # Subclass Mask for manipulating boolean Rasters
 class Mask(Raster):
-
     def __init__(
         self,
         filename_or_dataset: str | RasterType | rio.io.DatasetReader | rio.io.MemoryFile | dict[str, Any],
@@ -2926,12 +2956,18 @@ def __repr__(self) -> str:
             str_data = "\n       ".join(self.data.__str__().split("\n"))
 
         # Over-ride Raster's method to remove nodata value (always None)
-        s = "Mask(\n"+\
-            "  data=" + str_data +\
-            "\n  transform="+ "\n            ".join(self.transform.__str__().split("\n"))+\
-            "\n  crs=" + self.crs.__str__()+")"
+        s = (
+            "Mask(\n"
+            + "  data="
+            + str_data
+            + "\n  transform="
+            + "\n            ".join(self.transform.__str__().split("\n"))
+            + "\n  crs="
+            + self.crs.__str__()
+            + ")"
+        )
 
-        return s
+        return str(s)
 
     def _repr_html_(self) -> str:
         """Convert to HTML representation for notebooks and docs"""
@@ -2944,12 +2980,18 @@ def _repr_html_(self) -> str:
 
         # Over-ride Raster's method to remove nodata value (always None)
         # Use <pre> to keep white spaces, <span> to keep line breaks
-        s = '<pre><span style="white-space: pre-wrap"><b><em>Mask</em></b>(\n' + \
-            "  <b>data=</b>" + str_data + \
-            "\n  <b>transform=</b>" + "\n            ".join(self.transform.__str__().split("\n")) + \
-            "\n  <b>crs=</b>" + self.crs.__str__() + ")</span></pre>"
+        s = (
+            '<pre><span style="white-space: pre-wrap"><b><em>Mask</em></b>(\n'
+            + "  <b>data=</b>"
+            + str_data
+            + "\n  <b>transform=</b>"
+            + "\n            ".join(self.transform.__str__().split("\n"))
+            + "\n  <b>crs=</b>"
+            + self.crs.__str__()
+            + ")</span></pre>"
+        )
 
-        return s
+        return str(s)
 
     def reproject(
         self: Mask,
@@ -3078,16 +3120,24 @@ def proximity(
 
         # TODO: Adapt target_value into int | list in Raster.proximity
         # If target values is passed but does not correspond to 0 or 1, raise a warning
-        # if target_values is not None and not isinstance(target_values, (int, np.integer, float, np.floating)) or target_values not in [0, 1]:
+        # if target_values is not None and not isinstance(target_values, (int, np.integer,
+        # float, np.floating)) or target_values not in [0, 1]:
         #     warnings.warn("In-value converted to 1 for polygonizing boolean mask.")
         #     target_values = [1]
 
         # Convert to unsigned integer and pass to parent method
         self._data = self.data.astype("uint8")
 
-        # Need to cast output to Raster before computing proximity, as output will not be boolean (super() would instantiate Mask() again)
+        # Need to cast output to Raster before computing proximity, as output will not be boolean
+        # (super() would instantiate Mask() again)
         raster = Raster({"data": self.data, "transform": self.transform, "crs": self.crs, "nodata": self.nodata})
-        return raster.proximity(vector=vector, target_values=target_values, geometry_type=geometry_type, in_or_out=in_or_out, distance_unit=distance_unit)
+        return raster.proximity(
+            vector=vector,
+            target_values=target_values,
+            geometry_type=geometry_type,
+            in_or_out=in_or_out,
+            distance_unit=distance_unit,
+        )
 
     # Logical bitwise operations
     def __and__(self: Mask, other: Mask) -> Mask:
@@ -3110,9 +3160,7 @@ def __xor__(self: Mask, other: Mask) -> Mask:
 
     def __invert__(self: Mask) -> Mask:
 
-        return self.from_array(
-            data=~self.data, transform=self.transform, crs=self.crs, nodata=self.nodata
-        )
+        return self.from_array(data=~self.data, transform=self.transform, crs=self.crs, nodata=self.nodata)
 
 
 # -----------------------------------------
diff --git a/geoutils/georaster/satimg.py b/geoutils/georaster/satimg.py
index cbb732105..0bb0dd301 100644
--- a/geoutils/georaster/satimg.py
+++ b/geoutils/georaster/satimg.py
@@ -25,7 +25,7 @@ def parse_landsat(gname: str) -> list[Any]:
         attrs.append(lsat_sensor[gname[1]])
         attrs.append(None)
         attrs.append(None)
-        attrs.append((gname[3:6] + gname[6:9]))
+        attrs.append(gname[3:6] + gname[6:9])
         year = int(gname[9:13])
         doy = int(gname[13:16])
         attrs.append(dt.datetime.fromordinal(dt.date(year - 1, 12, 31).toordinal() + doy))
@@ -35,7 +35,7 @@ def parse_landsat(gname: str) -> list[Any]:
         attrs.append(lsat_sensor[split_name[0][1]])
         attrs.append(None)
         attrs.append(None)
-        attrs.append((split_name[2][0:3] + split_name[2][3:6]))
+        attrs.append(split_name[2][0:3] + split_name[2][3:6])
         attrs.append(dt.datetime.strptime(split_name[3], "%Y%m%d"))
         attrs.append(attrs[3].date())
     return attrs
@@ -367,8 +367,6 @@ def __parse_metadata_from_fn(self, silent: bool = False) -> None:
                         + "from filename"
                     )
 
-
-
     @property
     def datetime(self) -> dt.datetime | None:
         return self._datetime
@@ -378,7 +376,7 @@ def datetime(self, value: dt.datetime | None) -> None:
         if isinstance(value, (dt.datetime, np.datetime64)) or value is None:
             self._datetime = value
         else:
-            raise ValueError('Datetime must be set with a python or NumPy datetime.')
+            raise ValueError("Datetime must be set with a python or NumPy datetime.")
 
     @property
     def satellite(self) -> str | None:
@@ -389,7 +387,7 @@ def satellite(self, value: str | None) -> None:
         if isinstance(value, str) or value is None:
             self._satellite = value
         else:
-            raise ValueError('Satellite must be set with a string.')
+            raise ValueError("Satellite must be set with a string.")
 
     @property
     def sensor(self) -> str | None:
@@ -400,7 +398,7 @@ def sensor(self, value: str | None) -> None:
         if isinstance(value, str) or value is None:
             self._sensor = value
         else:
-            raise ValueError('Sensor must be set with a string.')
+            raise ValueError("Sensor must be set with a string.")
 
     @property
     def product(self) -> str | None:
@@ -411,7 +409,7 @@ def product(self, value: str | None) -> None:
         if isinstance(value, str) or value is None:
             self._product = value
         else:
-            raise ValueError('Product must be set with a string.')
+            raise ValueError("Product must be set with a string.")
 
     @property
     def version(self) -> str | None:
@@ -422,7 +420,7 @@ def version(self, value: str | None) -> None:
         if isinstance(value, str) or value is None:
             self._version = value
         else:
-            raise ValueError('Version must be set with a string.')
+            raise ValueError("Version must be set with a string.")
 
     @property
     def tile_name(self) -> str | None:
@@ -433,7 +431,7 @@ def tile_name(self, value: str | None) -> None:
         if isinstance(value, str) or value is None:
             self._tile_name = value
         else:
-            raise ValueError('Tile name must be set with a string.')
+            raise ValueError("Tile name must be set with a string.")
 
     def __parse_metadata_from_file(self, fn_meta: str | None) -> None:
         warnings.warn(f"Parse metadata from file not implemented. {fn_meta}")
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index 98166d106..47024d739 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -8,17 +8,17 @@
 import warnings
 from collections import abc
 from numbers import Number
-from typing import Literal, TypeVar, overload, Any
+from typing import Any, Literal, TypeVar, overload
 
 import fiona
 import geopandas as gpd
 import matplotlib
 import matplotlib.pyplot as plt
-from mpl_toolkits.axes_grid1 import make_axes_locatable
 import numpy as np
 import rasterio as rio
 import rasterio.errors
 import shapely
+from mpl_toolkits.axes_grid1 import make_axes_locatable
 from rasterio import features, warp
 from rasterio.crs import CRS
 from scipy.spatial import Voronoi
@@ -64,12 +64,19 @@ def __repr__(self) -> str:
         """Representation of vector"""
 
         # Get the representation of ds
-        str_ds= "\n       ".join(self.__str__().split("\n"))
-
-        s = self.__class__.__name__ + "(\n" + \
-            "  ds=" + str_ds + \
-            "\n  crs=" + self.crs.__str__() + \
-            "\n  bounds=" + self.bounds.__str__() + ")"
+        str_ds = "\n       ".join(self.__str__().split("\n"))
+
+        s = str(
+            self.__class__.__name__
+            + "(\n"
+            + "  ds="
+            + str_ds
+            + "\n  crs="
+            + self.crs.__str__()
+            + "\n  bounds="
+            + self.bounds.__str__()
+            + ")"
+        )
 
         return s
 
@@ -80,20 +87,30 @@ def _repr_html_(self) -> str:
 
         # Over-ride Raster's method to remove nodata value (always None)
         # Use <pre> to keep white spaces, <span> to keep line breaks
-        s = '<pre><span style="white-space: pre-wrap"><b><em>' + self.__class__.__name__ + '</em></b>(\n' + \
-            "  <b>ds=</b>" + str_ds + \
-            "\n  <b>crs=</b>" + self.crs.__str__() + \
-            "\n  <b>bounds=</b>" + self.bounds.__repr__() + ")</span></pre>"
+        s = str(
+            '<pre><span style="white-space: pre-wrap"><b><em>'
+            + self.__class__.__name__
+            + "</em></b>(\n"
+            + "  <b>ds=</b>"
+            + str_ds
+            + "\n  <b>crs=</b>"
+            + self.crs.__str__()
+            + "\n  <b>bounds=</b>"
+            + self.bounds.__repr__()
+            + ")</span></pre>"
+        )
 
         return s
 
     def __str__(self) -> str:
         """Provide string of information about Raster."""
-        return self.ds.__str__()
+
+        return str(self.ds.__str__())
 
     def __getitem__(self, value: gu.Raster | Vector | list[float] | tuple[float, ...]) -> Vector:
         """Subset the Raster object: calls the crop method with default parameters"""
-        return self.crop(cropGeom=value, inplace=False)
+
+        return self.crop(cropGeom=value, clip=False, inplace=False)
 
     def info(self) -> str:
         """
@@ -113,19 +130,20 @@ def info(self) -> str:
 
         return "".join(as_str)
 
-    def show(self,
-             ref_crs: gu.Raster | rio.io.DatasetReader | VectorType | gpd.GeoDataFrame | str | CRS | int | None = None,
-             cmap: matplotlib.colors.Colormap | str | None = None,
-             vmin: float | int | None = None,
-             vmax: float | int | None = None,
-             alpha: float | int | None = None,
-             cbar_title: str | None = None,
-             add_cbar: bool = False,
-             ax: matplotlib.axes.Axes | None | Literal["new"] = None,
-             return_axes: bool = False,
-             **kwargs: Any,
-             ) -> None | tuple[matplotlib.axes.Axes, matplotlib.colors.Colormap]:
-        """Show/display the vector, with axes in projection of image.
+    def show(
+        self,
+        ref_crs: gu.Raster | rio.io.DatasetReader | VectorType | gpd.GeoDataFrame | str | CRS | int | None = None,
+        cmap: matplotlib.colors.Colormap | str | None = None,
+        vmin: float | int | None = None,
+        vmax: float | int | None = None,
+        alpha: float | int | None = None,
+        cbar_title: str | None = None,
+        add_cbar: bool = False,
+        ax: matplotlib.axes.Axes | None | Literal["new"] = None,
+        return_axes: bool = False,
+        **kwargs: Any,
+    ) -> None | tuple[matplotlib.axes.Axes, matplotlib.colors.Colormap]:
+        r"""Show/display the vector, with axes in projection of image.
 
         This method is a wrapper to geopandas.GeoDataFrame.plot. Any \*\*kwargs which
         you give this method will be passed to it.
@@ -137,7 +155,8 @@ def show(self,
         :param alpha: Transparency of raster and colorbar.
         :param cbar_title: Colorbar label. Default is None.
         :param add_cbar: Set to True to display a colorbar. Default is True.
-        :param ax: A figure ax to be used for plotting. If None, will plot on current axes. If "new", will create a new axis.
+        :param ax: A figure ax to be used for plotting. If None, will plot on current axes. If "new",
+            will create a new axis.
         :param return_axes: Whether to return axes.
 
         :returns: None, or (ax, caxes) if return_axes is True
@@ -190,7 +209,9 @@ def show(self,
             divider = make_axes_locatable(ax0)
             cax = divider.append_axes("right", size="5%", pad=0.05)
             norm = matplotlib.colors.Normalize(vmin=vmin, vmax=vmax)
-            cbar = matplotlib.colorbar.ColorbarBase(cax, cmap=cmap, norm=norm) #, orientation="horizontal", ticklocation="top")
+            cbar = matplotlib.colorbar.ColorbarBase(
+                cax, cmap=cmap, norm=norm
+            )  # , orientation="horizontal", ticklocation="top")
             cbar.solids.set_alpha(alpha)
 
             if cbar_title is not None:
@@ -200,11 +221,23 @@ def show(self,
             cbar = None
 
         # Plot
-        vect_reproj.ds.plot(ax=ax0, cax=cax, cmap=cmap, vmin=vmin, vmax=vmax, alpha=alpha, legend=legend, legend_kwds=legend_kwds, **kwargs)
+        vect_reproj.ds.plot(
+            ax=ax0,
+            cax=cax,
+            cmap=cmap,
+            vmin=vmin,
+            vmax=vmax,
+            alpha=alpha,
+            legend=legend,
+            legend_kwds=legend_kwds,
+            **kwargs,
+        )
 
         # If returning axes
         if return_axes:
             return ax, cax
+        else:
+            return None
 
     @property
     def bounds(self) -> rio.coords.BoundingBox:
@@ -251,7 +284,7 @@ def crop(
         cropGeom: gu.Raster | Vector | list[float] | tuple[float, ...],
         clip: bool,
         *,
-        inplace: Literal[True] = True,
+        inplace: Literal[True],
     ) -> None:
         ...
 
@@ -265,6 +298,16 @@ def crop(
     ) -> VectorType:
         ...
 
+    @overload
+    def crop(
+        self: VectorType,
+        cropGeom: gu.Raster | Vector | list[float] | tuple[float, ...],
+        clip: bool,
+        *,
+        inplace: bool = True,
+    ) -> VectorType | None:
+        ...
+
     def crop(
         self: VectorType,
         cropGeom: gu.Raster | Vector | list[float] | tuple[float, ...],
@@ -272,7 +315,8 @@ def crop(
         inplace: bool = True,
     ) -> VectorType | None:
         """
-        Crop the Vector to given extent, or bounds of a raster or vector. Optionally, clip geometries to that extent (by default keeps all intersecting).
+        Crop the Vector to given extent, or bounds of a raster or vector. Optionally, clip geometries
+        to that extent (by default keeps all intersecting).
 
         Reprojection is done on the fly if georeferenced objects have different projections.
 
@@ -583,7 +627,9 @@ def rasterize(
         return output
 
     @classmethod
-    def from_bounds_projected(cls, raster_or_vector: gu.Raster | VectorType, out_crs: CRS | None = None, densify_pts: int = 5000) -> VectorType:
+    def from_bounds_projected(
+        cls, raster_or_vector: gu.Raster | VectorType, out_crs: CRS | None = None, densify_pts: int = 5000
+    ) -> VectorType:
         """Create a vector polygon from projected bounds of a raster or vector.
 
         :param raster_or_vector: A raster or vector
@@ -599,9 +645,9 @@ def from_bounds_projected(cls, raster_or_vector: gu.Raster | VectorType, out_crs
 
         df = gpd.GeoDataFrame(geometry=[poly], crs=out_crs)
 
-        return cls(df)
+        return cls(df)  # type: ignore
 
-    def query(self: VectorType, expression: str, inplace: bool = False) -> VectorType:
+    def query(self: Vector, expression: str, inplace: bool = False) -> Vector | None:
         """
         Query the Vector dataset with a valid Pandas expression.
 
@@ -612,13 +658,12 @@ def query(self: VectorType, expression: str, inplace: bool = False) -> VectorTyp
         """
         # Modify inplace if wanted and return the self instance.
         if inplace:
-            self.ds.query(expression, inplace=True)
-            return self
+            self._ds = self.ds.query(expression, inplace=True)
+            return None
 
         # Otherwise, create a new Vector from the queried dataset.
-        new_vector = self.__new__(type(self))
-        new_vector.__init__(self.ds.query(expression))  # type: ignore
-        return new_vector  # type: ignore
+        new_vector = Vector(self.ds.query(expression))
+        return new_vector
 
     def proximity(
         self,
diff --git a/tests/test_docs.py b/tests/test_docs.py
index 5dc53b1a3..a22073702 100644
--- a/tests/test_docs.py
+++ b/tests/test_docs.py
@@ -1,7 +1,6 @@
 """Functions to test the documentation."""
 import os
 import shutil
-import warnings
 
 import sphinx.cmd.build
 

From 6ffc72e19f7634a4ba18c3469ca6568222f77529 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Feb 2023 17:03:19 -0800
Subject: [PATCH 052/184] Make mypy ignore other files than core and tests

---
 .pre-commit-config.yaml | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 8d78f4af6..16ee23464 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -58,8 +58,7 @@ repos:
 
                   ]
                   additional_dependencies: [tokenize-rt==3.2.0]
-
-
+                  files: ^(geoutils|tests)
 
         # Sort imports using isort
         - repo: https://github.com/PyCQA/isort

From da3c2eb1af2cd262edb91939d1cadd4a4c6bc5e8 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Feb 2023 17:03:43 -0800
Subject: [PATCH 053/184] Fix example

---
 examples/analysis/point_extraction/reduction.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/analysis/point_extraction/reduction.py b/examples/analysis/point_extraction/reduction.py
index 0fe084d89..ca62fbb88 100644
--- a/examples/analysis/point_extraction/reduction.py
+++ b/examples/analysis/point_extraction/reduction.py
@@ -48,8 +48,8 @@
 
 # Replace by Vector fonction once done
 coords = rast.coords(grid=True)
-x_closest = rast.copy(new_array=coords[0]).value_at_coords(x=x_coords, y=y_coords)
-y_closest = rast.copy(new_array=coords[1]).value_at_coords(x=x_coords, y=y_coords)
+x_closest = rast.copy(new_array=coords[0]).value_at_coords(x=x_coords, y=y_coords).squeeze()
+y_closest = rast.copy(new_array=coords[1]).value_at_coords(x=x_coords, y=y_coords).squeeze()
 from shapely import box
 
 geometry = [

From dfaf1b6dde2032741050caeb9373b326bae5a656 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Feb 2023 17:13:03 -0800
Subject: [PATCH 054/184] Fix diff calculation with self install in dev env

---
 geoutils/misc.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/geoutils/misc.py b/geoutils/misc.py
index b27afb7d8..1680f7939 100644
--- a/geoutils/misc.py
+++ b/geoutils/misc.py
@@ -94,7 +94,6 @@ def diff_environment_yml(fn_env: str, fn_devenv: str, print_dep: str = "both") -
     """
     Compute the difference between environment.yml and dev-environment.yml for setup of continuous integration,
     while checking that all the dependencies listed in environment.yml are also in dev-environment.yml
-
     :param fn_env: Filename path to environment.yml
     :param fn_devenv: Filename path to dev-environment.yml
     :param print_dep: Whether to print conda differences "conda", pip differences "pip" or both.
@@ -115,6 +114,10 @@ def diff_environment_yml(fn_env: str, fn_devenv: str, print_dep: str = "both") -
     if isinstance(conda_dep_devenv[-1], dict):
         pip_dep_devenv = conda_dep_devenv.pop()["pip"]
 
+        # Remove the package's self install for devs via pip, if it exists
+        if "-e ./" in pip_dep_devenv:
+            pip_dep_devenv.pop("-e ./")
+
         # Check if there is a pip dependency in the normal env as well, if yes pop it also
         if isinstance(conda_dep_env[-1], dict):
             pip_dep_env = conda_dep_env.pop()["pip"]

From 6d9ef61d3d51cba69c4c58e931c92255cb7b923a Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Feb 2023 17:17:50 -0800
Subject: [PATCH 055/184] Now should work

---
 geoutils/misc.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/geoutils/misc.py b/geoutils/misc.py
index 1680f7939..972084709 100644
--- a/geoutils/misc.py
+++ b/geoutils/misc.py
@@ -116,7 +116,7 @@ def diff_environment_yml(fn_env: str, fn_devenv: str, print_dep: str = "both") -
 
         # Remove the package's self install for devs via pip, if it exists
         if "-e ./" in pip_dep_devenv:
-            pip_dep_devenv.pop("-e ./")
+            pip_dep_devenv.remove("-e ./")
 
         # Check if there is a pip dependency in the normal env as well, if yes pop it also
         if isinstance(conda_dep_env[-1], dict):

From b6ab9c6bc08fd5f3147174d4986eaaf8c1990df5 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Feb 2023 17:22:43 -0800
Subject: [PATCH 056/184] What about now?

---
 geoutils/misc.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/geoutils/misc.py b/geoutils/misc.py
index 972084709..77fc9db3b 100644
--- a/geoutils/misc.py
+++ b/geoutils/misc.py
@@ -135,7 +135,7 @@ def diff_environment_yml(fn_env: str, fn_devenv: str, print_dep: str = "both") -
 
         # If there is no pip dependency in env, all the ones of dev-env need to be added during CI
         else:
-            diff_pip_dep = list(pip_dep_devenv["pip"])
+            diff_pip_dep = pip_dep_devenv
 
     # If there is no pip dependency, we ignore this step
     else:

From ebfb6f1cbe4c74056e03f894f6c233d63b994342 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Feb 2023 17:27:20 -0800
Subject: [PATCH 057/184] Hard reset cache

---
 .github/workflows/python-app.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index 6760b9371..f42104b0a 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -48,7 +48,7 @@ jobs:
         path: ${{ env.CONDA }}/envs
         key: conda-${{ matrix.os }}-${{ matrix.python-version }}-${{ steps.get-date.outputs.month }}-${{ hashFiles('dev-environment.yml') }}-${{ env.CACHE_NUMBER }}
       env:
-        CACHE_NUMBER: 5 # Increase this value to reset cache if environment.yml has not changed
+        CACHE_NUMBER: 0 # Increase this value to reset cache if environment.yml has not changed
       id: cache
 
     # The trick below is necessary because the generic environment file does not specify a Python version, and only

From aa4878bff6dc21607f063c322872b0be23afbdf5 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Feb 2023 17:35:32 -0800
Subject: [PATCH 058/184] Try to remove jinja condition now that mamba is
 solving

---
 dev-environment.yml | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/dev-environment.yml b/dev-environment.yml
index 59b1c345d..20b05db62 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -12,8 +12,6 @@ dependencies:
 
   # Development-specific
   - autovizwidget
-  - graphviz
-  - jinja2<3.1
   - sphinx
   - myst-nb
   - sphinx-autodoc-typehints
@@ -34,4 +32,5 @@ dependencies:
   - pip:
     - sphinx-design
     - sphinx-book-theme
+    - graphviz
     - -e ./

From 6ea16a82f2b1dfa151ee97830d65c5164dd31962 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Feb 2023 17:53:01 -0800
Subject: [PATCH 059/184] Try pip --user option for Windows

---
 .github/workflows/python-app.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index f42104b0a..11ff952ac 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -79,7 +79,7 @@ jobs:
         pkgs_pip_dev=`python -c "import geoutils; geoutils.misc.diff_environment_yml('environment.yml', 'dev-environment.yml', 'pip')"`
         mamba install $pkgs_conda_dev --freeze-installed
         if [[ "$pkgs_pip_dev" != "None" ]]; then
-          pip install $pkgs_pip_dev
+          pip install --user $pkgs_pip_dev
         fi
 
     # Stop the build if there are Python syntax errors or undefined names

From 46a1f16c0bc82bbd813544f566506c2c906759c1 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sat, 25 Feb 2023 13:36:29 -0800
Subject: [PATCH 060/184] Array ufunc fixes

---
 doc/source/about_geoutils.md                  |  2 +-
 .../array_numerics/numpy_interfacing.py       | 18 ++++-----
 .../handling/georeferencing/reproj_vector.py  |  4 +-
 geoutils/georaster/raster.py                  | 10 +++--
 tests/test_georaster.py                       | 40 +++++++++++++++++++
 5 files changed, 58 insertions(+), 16 deletions(-)

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index 118744680..bf84dcfb3 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -31,7 +31,7 @@ We are working on making features fully consistent for the first long-term relea
 GeoUtils is built on top of [Rasterio](https://rasterio.readthedocs.io/en/latest/), [GeoPandas](https://geopandas.org/en/stable/docs.html)
 and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) for georeferenced operations, and relies on [NumPy](https://numpy.org/doc/stable/),
 [SciPy](https://docs.scipy.org/doc/scipy/) and [Xarray](https://docs.xarray.dev/en/stable/) for scientific computing to provide:
-- A **common and consistent framework** for efficient rasters and vectors handling,
+- A **common and consistent framework** for efficient raster and vector handling,
 - A structure following the **principal of least knowledge**<sup>2</sup> to foster accessibility,
 - A **pythonic arithmetic** and **NumPy interfacing** for robust numerical computing and intuitive analysis.
 
diff --git a/examples/analysis/array_numerics/numpy_interfacing.py b/examples/analysis/array_numerics/numpy_interfacing.py
index 7d4a702bb..124c2d5df 100644
--- a/examples/analysis/array_numerics/numpy_interfacing.py
+++ b/examples/analysis/array_numerics/numpy_interfacing.py
@@ -6,16 +6,16 @@
 """
 # sphinx_gallery_thumbnail_number = 2
 # %%
-# We open a raster
+# We open a raster.
 import geoutils as gu
-
 rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
 
-# %% We plot the original raster.
+# %% We plot it.
 rast.show(cmap="terrain")
 
 # %%
-# NumPy interfacing allows to use any NumPy function directly on the raster
+#
+# The NumPy interface allows to use almost any NumPy function directly on the raster.
 
 import numpy as np
 
@@ -34,13 +34,13 @@
 # .. important::
 #        For rigorous slope and aspect calculation (matching that of GDAL), **check-out our sister package** `xDEM <https://xdem.readthedocs.io/en/latest/index.html>`_.
 #
-# We can make numpy logical operations to isolate the terrain oriented South and above three thousand meters. The rasters will be cast to a :class:`Mask<geoutils.Mask>`.
+# We use NumPy logical operations to isolate the terrain oriented South and above three thousand meters. The rasters will be logically cast to a
+# :class:`Mask<geoutils.Mask>`.
 
-# Not supported yet, fix first
-# mask = np.logical_and.reduce((asp > -45, asp < 45, rast > 3000))
-# mask
+mask = np.logical_and.reduce((asp > -45, asp < 45, rast > 3000))
+mask
 
 # %%
 # We plot the mask.
 
-# mask.show()
+mask.show()
diff --git a/examples/handling/georeferencing/reproj_vector.py b/examples/handling/georeferencing/reproj_vector.py
index a398a6aa5..566ba7a8c 100644
--- a/examples/handling/georeferencing/reproj_vector.py
+++ b/examples/handling/georeferencing/reproj_vector.py
@@ -23,7 +23,7 @@
 import matplotlib.pyplot as plt
 
 rast.show(cmap="Greys_r")
-vect.show(ref_crs=rast, fc="none", ec="tab:purple", lw=3)
+vect.show(ax="new", fc="none", ec="tab:purple", lw=3)
 
 # %%
 # **First option:** using the raster as a reference to match, we reproject the vector. We simply have to pass the :class:`~geoutils.Raster` as an argument
@@ -40,6 +40,6 @@
 # **Second option:** we can pass the georeferencing argument ``dst_crs`` to :func:`~geoutils.Vector.reproject` (an EPSG code can be passed directly as
 # :class:`int`).
 
-# Reproject in UTM zone 45N
+# Reproject in UTM zone 45N.
 vect_reproj = vect.reproject(dst_crs=32645)
 vect_reproj
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 7459ffa21..470734041 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -1441,10 +1441,12 @@ def get_nanarray(self, return_mask: bool = False) -> np.ndarray | tuple[np.ndarr
         else:
             return nanarray
 
-    def __array__(self) -> np.ndarray:
-        """Method to cast np.array() or np.asarray() function directly on Raster classes."""
-
-        return self._data
+    # This is interfering with __array_ufunc__ and __array_function__, so better to leave out and specify
+    # behaviour directly in those.
+    # def __array__(self) -> np.ndarray:
+    #     """Method to cast np.array() or np.asarray() function directly on Raster classes."""
+    #
+    #     return self._data
 
     def __array_ufunc__(
         self,
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 05ef4cf3c..af82dcc50 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -3076,14 +3076,18 @@ class TestArrayInterface:
     np.random.seed(42)
     arr1 = np.random.randint(min_val, max_val, (height, width), dtype="int32") + np.random.normal(size=(height, width))
     arr2 = np.random.randint(min_val, max_val, (height, width), dtype="int32") + np.random.normal(size=(height, width))
+    # This third one is to try ufunc methods like reduce()
+    arr3 = np.random.randint(min_val, max_val, (height, width), dtype="int32") + np.random.normal(size=(height, width))
 
     # Create two random masks
     mask1 = np.random.randint(0, 2, size=(width, height), dtype=bool)
     mask2 = np.random.randint(0, 2, size=(width, height), dtype=bool)
+    mask3 = np.random.randint(0, 2, size=(width, height), dtype=bool)
 
     # Assert that there is at least one unmasked value
     assert np.count_nonzero(~mask1) > 0
     assert np.count_nonzero(~mask2) > 0
+    assert np.count_nonzero(~mask3) > 0
 
     @pytest.mark.parametrize("ufunc_str", ufuncs_str_1nin_1nout + ufuncs_str_1nin_2nout)  # type: ignore
     @pytest.mark.parametrize(
@@ -3326,3 +3330,39 @@ def test_array_functions_2nin(
             output_ma = arrfunc(rst1.data, rst2.data)
 
             assert np.ma.allequal(output_rst, output_ma)
+
+    @pytest.mark.parametrize("method_str", ["reduce"]) # type: ignore
+    def test_ufunc_methods(self, method_str):
+        """
+        Test that universal function methods all behave properly, don't need to test all
+        nodatas and dtypes as this was done above.
+        """
+
+        ma1 = np.ma.masked_array(data=self.arr1.astype("float32"), mask=self.mask1)
+        ma2 = np.ma.masked_array(data=self.arr2.astype("float32"), mask=self.mask2)
+        ma3 = np.ma.masked_array(data=self.arr3.astype("float32"), mask=self.mask3)
+
+        rst1 = gu.Raster.from_array(ma1, transform=self.transform, crs=None, nodata=_default_nodata("float32"))
+        rst2 = gu.Raster.from_array(ma2, transform=self.transform, crs=None, nodata=_default_nodata("float32"))
+        rst3 = gu.Raster.from_array(ma3, transform=self.transform, crs=None, nodata=_default_nodata("float32"))
+
+        # Methods reduce, accumulate, reduceat and at only supported for binary function (2nin)
+        # -- Test 1: -- Try a ufunc with 2nin, 1nout like np.add
+        ufunc_2nin_1nout = getattr(np.add, method_str)
+        output_rst = ufunc_2nin_1nout((rst1, rst2, rst3))
+        output_ma = ufunc_2nin_1nout((ma1, ma2, ma3))
+
+        print(np.shape(output_ma))
+        print(np.shape(output_rst.data))
+        assert np.ma.allequal(output_rst.data, output_ma)
+
+        # Methods reduce only supports function that ouput a single value
+        # -- Test 2: -- Try a ufunc with 2nin, 2nout: there's only divmod
+        # ufunc_2nin_2nout = getattr(np.divmod, method_str)
+        # outputs_rst = ufunc_2nin_2nout((rst1, rst2, rst3))
+        # outputs_ma = ufunc_2nin_2nout((ma1, ma2, ma3))
+        #
+        # assert np.ma.allequal(outputs_ma[0], outputs_rst[0].data) and np.ma.allequal(
+        #             outputs_ma[1], outputs_rst[1].data)
+
+

From af3623aaa314b82a082058a6edf50a8e6eba577e Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sat, 25 Feb 2023 16:12:32 -0800
Subject: [PATCH 061/184] Ensure array functions are cast to Raster if they
 preserve the shape (isfinite, isnan, isclose, etc)

---
 doc/source/raster_class.md   |  1 +
 geoutils/georaster/raster.py | 22 ++++++++++++++++++++--
 tests/test_georaster.py      | 19 ++++++++++++++++---
 3 files changed, 37 insertions(+), 5 deletions(-)

diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index 18bbe8633..0d95797c3 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -180,6 +180,7 @@ Logical comparison functions will cast to a {class}`~geoutils.Mask`.
 
 ```{code-cell} ipython3
 # Is the raster close to another within tolerance?
+
 np.isclose(raster, raster+0.05, atol=0.1)
 ```
 
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 470734041..6993987ba 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -1550,11 +1550,29 @@ def __array_function__(
         else:
             first_arg = args[0].data
 
+        # Separate one and two input functions
         if func.__name__ in _HANDLED_FUNCTIONS_1NIN:
-            return func(first_arg, *args[1:], **kwargs)  # type: ignore
+            outputs = func(first_arg, *args[1:], **kwargs) # type: ignore
         else:
             second_arg = args[1].data
-            return func(first_arg, second_arg, *args[2:], **kwargs)  # type: ignore
+            outputs = func(first_arg, second_arg, *args[2:], **kwargs) # type: ignore
+
+        # Below, we recast to Raster if the shape was preserved, otherwise return an array
+        # First, if there are several outputs in a tuple which are arrays
+        if isinstance(outputs, tuple) and isinstance(outputs[0], np.ndarray):
+            if all(output.shape == args[0].data.shape for output in outputs):
+                return (self.from_array(data=output, transform=self.transform, crs=self.crs, nodata=self.nodata) for output in outputs)
+            else:
+                return outputs
+        # Second, if there is a single output which is an array
+        elif isinstance(outputs, np.ndarray):
+            if outputs.shape == args[0].data.shape:
+                return self.from_array(data=outputs, transform=self.transform, crs=self.crs, nodata=self.nodata)
+            else:
+                return outputs
+        # Else, return outputs directly
+        else:
+            return outputs
 
     # Note the star is needed because of the default argument 'mode' preceding non default arg 'inplace'
     # Then the final overload must be duplicated
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index af82dcc50..85e5311c5 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -3281,8 +3281,14 @@ def test_array_functions_1nin(self, arrfunc_str: str, dtype: str, nodata_init: N
             if "gradient" in arrfunc_str:
                 assert np.ma.allequal(output_rst[0], output_ma[0]) and np.ma.allequal(output_rst[1], output_ma[1])
             # This test is for when the NumPy function reduces the dimension of the array but not completely
-            elif isinstance(output_rst, np.ndarray):
-                assert np.ma.allequal(output_rst, output_ma)
+            elif isinstance(output_ma, np.ndarray):
+                # When the NumPy function preserves the shape, it returns a Raster
+                if output_ma.shape == rst.data.shape:
+                    assert isinstance(output_rst, gu.Raster)
+                    assert np.ma.allequal(output_rst.data, output_ma)
+                # Otherwise, it returns an array
+                else:
+                    assert np.ma.allequal(output_rst, output_ma)
             # This test is for when the NumPy function reduces the dimension to a single number
             else:
                 assert output_rst == output_ma
@@ -3326,10 +3332,17 @@ def test_array_functions_2nin(
 
             warnings.filterwarnings("ignore", category=RuntimeWarning)
 
+            # Compute outputs
             output_rst = arrfunc(rst1, rst2)
             output_ma = arrfunc(rst1.data, rst2.data)
 
-            assert np.ma.allequal(output_rst, output_ma)
+            # When the NumPy function preserves the shape, it returns a Raster
+            if isinstance(output_ma, np.ndarray) and output_ma.shape == rst1.data.shape:
+                assert isinstance(output_rst, gu.Raster)
+                assert np.ma.allequal(output_rst.data, output_ma)
+            # Otherwise, it returns an array
+            else:
+                assert np.ma.allequal(output_rst, output_ma)
 
     @pytest.mark.parametrize("method_str", ["reduce"]) # type: ignore
     def test_ufunc_methods(self, method_str):

From 2e52fc92653c88b7512906544d5792918dff0426 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sat, 25 Feb 2023 16:14:31 -0800
Subject: [PATCH 062/184] Linting

---
 examples/analysis/array_numerics/numpy_interfacing.py | 1 +
 geoutils/georaster/raster.py                          | 9 ++++++---
 tests/test_georaster.py                               | 6 ++----
 3 files changed, 9 insertions(+), 7 deletions(-)

diff --git a/examples/analysis/array_numerics/numpy_interfacing.py b/examples/analysis/array_numerics/numpy_interfacing.py
index 124c2d5df..1fce6aa72 100644
--- a/examples/analysis/array_numerics/numpy_interfacing.py
+++ b/examples/analysis/array_numerics/numpy_interfacing.py
@@ -8,6 +8,7 @@
 # %%
 # We open a raster.
 import geoutils as gu
+
 rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
 
 # %% We plot it.
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 6993987ba..921de13b1 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -1552,16 +1552,19 @@ def __array_function__(
 
         # Separate one and two input functions
         if func.__name__ in _HANDLED_FUNCTIONS_1NIN:
-            outputs = func(first_arg, *args[1:], **kwargs) # type: ignore
+            outputs = func(first_arg, *args[1:], **kwargs)  # type: ignore
         else:
             second_arg = args[1].data
-            outputs = func(first_arg, second_arg, *args[2:], **kwargs) # type: ignore
+            outputs = func(first_arg, second_arg, *args[2:], **kwargs)  # type: ignore
 
         # Below, we recast to Raster if the shape was preserved, otherwise return an array
         # First, if there are several outputs in a tuple which are arrays
         if isinstance(outputs, tuple) and isinstance(outputs[0], np.ndarray):
             if all(output.shape == args[0].data.shape for output in outputs):
-                return (self.from_array(data=output, transform=self.transform, crs=self.crs, nodata=self.nodata) for output in outputs)
+                return (
+                    self.from_array(data=output, transform=self.transform, crs=self.crs, nodata=self.nodata)
+                    for output in outputs
+                )
             else:
                 return outputs
         # Second, if there is a single output which is an array
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 85e5311c5..6c469c830 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -3344,7 +3344,7 @@ def test_array_functions_2nin(
             else:
                 assert np.ma.allequal(output_rst, output_ma)
 
-    @pytest.mark.parametrize("method_str", ["reduce"]) # type: ignore
+    @pytest.mark.parametrize("method_str", ["reduce"])  # type: ignore
     def test_ufunc_methods(self, method_str):
         """
         Test that universal function methods all behave properly, don't need to test all
@@ -3369,7 +3369,7 @@ def test_ufunc_methods(self, method_str):
         print(np.shape(output_rst.data))
         assert np.ma.allequal(output_rst.data, output_ma)
 
-        # Methods reduce only supports function that ouput a single value
+        # Methods reduce only supports function that output a single value
         # -- Test 2: -- Try a ufunc with 2nin, 2nout: there's only divmod
         # ufunc_2nin_2nout = getattr(np.divmod, method_str)
         # outputs_rst = ufunc_2nin_2nout((rst1, rst2, rst3))
@@ -3377,5 +3377,3 @@ def test_ufunc_methods(self, method_str):
         #
         # assert np.ma.allequal(outputs_ma[0], outputs_rst[0].data) and np.ma.allequal(
         #             outputs_ma[1], outputs_rst[1].data)
-
-

From fa33398866641493b2f71cf0f405e449373ff034 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sat, 25 Feb 2023 16:18:09 -0800
Subject: [PATCH 063/184] Fix typo

---
 doc/source/raster_class.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index 0d95797c3..11f5e344b 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -188,7 +188,8 @@ See {ref}`core-array-funcs` for more details.
 
 ## Reproject
 
-Reprojecting a {class}`~geoutils.Raster` is done through the{func}`~geoutils.Raster.reproject`, which enforces new {attr}`~geoutils.Raster.transform` and/or
+Reprojecting a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster.reproject` function, which enforces new {attr}`~geoutils.Raster.transform` 
+and/or
 {class}`~geoutils.Raster.crs`.
 
 ```{important}

From 8efcc32d8bcf6b9703864c4d6fce75fdc525a852 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Sat, 25 Feb 2023 16:33:53 -0800
Subject: [PATCH 064/184] Linting

---
 doc/source/raster_class.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index 11f5e344b..2843681bc 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -188,7 +188,7 @@ See {ref}`core-array-funcs` for more details.
 
 ## Reproject
 
-Reprojecting a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster.reproject` function, which enforces new {attr}`~geoutils.Raster.transform` 
+Reprojecting a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster.reproject` function, which enforces new {attr}`~geoutils.Raster.transform`
 and/or
 {class}`~geoutils.Raster.crs`.
 

From dc57efea2134222ab165aad82057dd0f47f64909 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 28 Feb 2023 15:36:38 -0800
Subject: [PATCH 065/184] Try to hard reset cache to fix Mac tests

---
 .github/workflows/python-app.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index 11ff952ac..4159f2be8 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -48,7 +48,7 @@ jobs:
         path: ${{ env.CONDA }}/envs
         key: conda-${{ matrix.os }}-${{ matrix.python-version }}-${{ steps.get-date.outputs.month }}-${{ hashFiles('dev-environment.yml') }}-${{ env.CACHE_NUMBER }}
       env:
-        CACHE_NUMBER: 0 # Increase this value to reset cache if environment.yml has not changed
+        CACHE_NUMBER: 1 # Increase this value to reset cache if environment.yml has not changed
       id: cache
 
     # The trick below is necessary because the generic environment file does not specify a Python version, and only

From 02a8393f047f029ae47dbbd8b5171e2d2bf65f2c Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 28 Feb 2023 18:17:17 -0800
Subject: [PATCH 066/184] Update quick start

---
 doc/source/about_geoutils.md |   5 +-
 doc/source/quick_start.md    | 151 +++++++++++++++++++++++++----------
 examples/analysis/README.rst |   2 +
 examples/handling/README.rst |   2 +
 examples/io/README.rst       |   2 +
 5 files changed, 116 insertions(+), 46 deletions(-)

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index bf84dcfb3..c89ed148e 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -54,10 +54,11 @@ More on these core features of GeoUtils in the {ref}`quick-start`, or {ref}`core
 ## Why the need for GeoUtils?
 
 Recent community efforts have improved open-source geospatial analysis in Python, allowing to **move away from the low-level functions and
-complexity of [GDAL and OGR](https://gdal.org/)**'s Python bindings for raster and vector handling. Those efforts include in particular [Rasterio](https://rasterio.readthedocs.io/en/latest/) and [GeoPandas](https://geopandas.org/en/stable/docs.html).
+complexity of [GDAL and OGR](https://gdal.org/)'s Python bindings** for raster and vector handling. Those efforts include in particular 
+[Rasterio](https://rasterio.readthedocs.io/en/latest/) and [GeoPandas](https://geopandas.org/en/stable/docs.html).
 
 However, these new packages still maintain a relatively low-level API to serve all types of geospatial informatics users, **slowing down end-users focusing
-on data analysis**. As a result, interfacing between vector data and raster data is delicate and simple higher-level operation (such as
+on data analysis**. As a result, basic interfacing between vector data and raster data is not always straightforward and simple higher-level operation (such as
 reprojection to match a reference) are not always computed consistently in the community.
 
 Additionally, [Rasterio](https://rasterio.readthedocs.io/en/latest/) focuses mostly on reading, projecting and writing, and thus **requires array extraction
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index 0eb035f28..43b859066 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -7,10 +7,12 @@ kernelspec:
 
 # Quick start
 
-The following presents how to quickly get started with GeoUtils, show-casing examples on different core aspects of the package.
+The following presents a descriptive example show-casing all core aspects of GeoUtils.
 
 For more details, refer to the {ref}`core-index`, {ref}`rasters-index` or {ref}`vectors-index` pages.
 
+To find an example about a specific functionality, jump to {ref}`quick-gallery`.
+
 ## The core {class}`~geoutils.Raster` and {class}`~geoutils.Vector` classes
 
 In GeoUtils, geospatial handling is object-based and revolves around {class}`~geoutils.Raster` and {class}`~geoutils.Vector`.
@@ -28,18 +30,25 @@ rast = gu.Raster(filename_rast)
 vect = gu.Vector(filename_vect)
 ```
 
-A {class}`~geoutils.Raster` is a composition class with four main attributes: a {class}`~numpy.ma.MaskedArray` as `.data`, a {class}`~pyproj.crs.CRS` as `.crs`,
-an {class}`~affine.Affine` as `.transform`, and a {class}`float` or {class}`int` as `.nodata`. When a file exists on disk, {class}`~geoutils.Raster` is
-linked to a {class}`rasterio.io.DatasetReader` object for loading the metadata, and the array at the appropriate time.
+A {class}`~geoutils.Raster` is a composition class with four main attributes: a {class}`~numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`, a 
+{class}`~pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`, an {class}`~affine.Affine` as {attr}`~geoutils.Raster.transform`, and a {class}`float` or {class}
+`int` as {attr}`geoutils.Raster.nodata`. 
+
 
 ```{code-cell} ipython3
-:tags: [hide-output]
 # The opened raster
 rast
 ```
 
-A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as `.ds`, for which most methods are
-wrapped directly into {class}`~geoutils.Vector`.
+```{important}
+When a file exists on disk, {class}`~geoutils.Raster` is linked to a {class}`rasterio.io.DatasetReader` object for loading the metadata. The array will be 
+**loaded in-memory implicitly** when {attr}`~geoutils.Raster.data` is required by an operation.
+
+See {ref}`core-lazy-load` for more details.
+```
+
+A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as {attr}`~geoutils.Vector.ds`, for which 
+most methods are wrapped directly into {class}`~geoutils.Vector`.
 
 ```{code-cell} ipython3
 :tags: [hide-output]
@@ -50,37 +59,33 @@ vect
 All other attributes are derivatives of those main attributes, or of the filename on disk. Attributes of {class}`~geoutils.Raster` and
 {class}`~geoutils.Vector` update with geospatial operations on themselves.
 
-## Geospatial handling and match-reference
 
-Geospatial operations are based on class methods, such as {func}`geoutils.Raster.crop` or {func}`geoutils.Vector.proximity`. Nearly all of these methods can be
-passed solely another {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a **reference to match** during the operation. A **reference {class}`~geoutils.Vector`**
-enforces a matching of `.bounds` and/or `.crs`, while a **reference {class}`~geoutils.Raster`** can also enforce a matching of `.res`, depending on the nature of the operation.
+## Handling and match-reference
+
+In GeoUtils, geospatial handling operations are based on class methods, such as {func}`~geoutils.Raster.crop` or {func}`~geoutils.Raster.reproject`. 
+
+For convenience and consistency, nearly all of these methods can be passed solely another {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a 
+**reference to match** during the operation. A **reference {class}`~geoutils.Vector`** enforces a matching of {attr}`~geoutils.Vector.bounds` and/or 
+{attr}`~geoutils.Vector.crs`, while a **reference {class}`~geoutils.Raster`** can also enforce a matching of {attr}`~geoutils.Raster.res`, depending on the nature of the operation.
 
 
 ```{code-cell} ipython3
+:tags: [hide-output]
 # Crop raster to vector's extent
 rast.crop(vect)
+# Print info of cropped raster
+print(rast.info())
 ```
 
-```{code-cell} ipython3
-# Compute proximity to vector on raster's grid
-rast_proximity_to_vec = vect.proximity(rast)
-```
-
-All methods can be also be passed any number of georeferencing arguments such as `.shape` or `.res`, and will logically deduce others from the input, much
-as in [GDAL](https://gdal.org/)'s command line.
-
-
-```{note}
-Right now, the array `.data` of `rast` is still not loaded. Applying {func}`~geoutils.Raster.crop` does not yet require loading,
-and `rast`'s metadata is sufficient to provide a georeferenced grid for {func}`~geoutils.Vector.proximity`. The array will only be loaded when necessary.
+```{margin}
+<sup>1</sup>The names of geospatial handling methods is largely based on [GDAL and OGR](https://gdal.org/)'s, with the notable exception of {func}`~geoutils.Vector.reproject` that better applies to vectors than `warp`.
 ```
 
 Additionally, in GeoUtils, **methods that apply to the same georeferencing attributes have consistent naming**<sup>1</sup> across {class}`~geoutils.Raster` and {class}`~geoutils.Vector`.
 
-```{margin}
-<sup>1</sup>The names of geospatial handling methods is largely based on [GDAL and OGR](https://gdal.org/)'s, with the notable exception of {func}`~geoutils.Vector.reproject` that better applies to vectors than `warp`.
-```
+A {func}`~geoutils.Raster.reproject` involves a change in {attr}`~geoutils.Raster.crs` or {attr}`~geoutils.Raster.transform`, while a {func}`~geoutils.Raster.crop` only involves a change 
+in {attr}`~geoutils.Raster.bounds`. Using {func}`~geoutils.Raster.polygonize` allows to generate a {class}`~geoutils.Vector` from a {class}`~geoutils.Raster`, 
+and the other way around for {func}`~geoutils.Vector.rasterize`.
 
 ```{list-table}
    :widths: 30 30 30
@@ -98,15 +103,54 @@ Additionally, in GeoUtils, **methods that apply to the same georeferencing attri
    * - Rasterize/Polygonize
      - {func}`~geoutils.Raster.polygonize`
      - {func}`~geoutils.Vector.rasterize`
-   * - Proximity
-     - {func}`~geoutils.Raster.proximity`
-     - {func}`~geoutils.Vector.proximity`
 ```
 
-A {func}`~geoutils.Raster.reproject` involves a change in `.crs` or `.transform`, while a {func}`~geoutils.Raster.crop` only involves a change in `.bounds`.
-Using {func}`~geoutils.Raster.polygonize` allows to generate a {class}`~geoutils.Vector` from a {class}`~geoutils.Raster`, and the other way around for {func}`~geoutils.Vector.rasterize`.
+All methods can be also be passed any number of georeferencing arguments such as {attr}`~geoutils.Raster.shape` or {attr}`~geoutils.Raster.res`, and will 
+naturally deduce others from the input {class}`~geoutils.Raster` or {class}`~geoutils.Vector`, much as in [GDAL](https://gdal.org/)'s command line.
 
 
+## Higher-level analysis tools 
+
+GeoUtils also implements higher-level geospatial analysis tools for both {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>`. For 
+example, one can compute the distance to a {class}`~geoutils.Vector` geometry, or to target pixels of a {class}`~geoutils.Raster`, using 
+{func}`~geoutils.Vector.proximity`.
+
+As with the geospatial handling functions previously listed, many analysis functions can take a {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a 
+**reference to utilize** during the operation. In the case of {func}`~geoutils.Vector.proximity`, passing a {class}`~geoutils.Raster` serves as a reference 
+for the georeferenced grid on which to compute the distances.
+
+```{code-cell} ipython3
+# Compute proximity to vector on raster's grid
+rast_proximity_to_vec = vect.proximity(rast)
+```
+
+```{note}
+Right now, the array {attr}`~geoutils.Raster.data` of `rast` is still not loaded. Applying {func}`~geoutils.Raster.crop` does not yet require loading,
+and `rast`'s metadata is sufficient to provide a georeferenced grid for {func}`~geoutils.Vector.proximity`. The array will only be loaded when necessary.
+```
+
+## Quick plotting
+
+To facilitate the analysis process, GeoUtils includes quick plotting tools that support multiple colorbars and implicitly add layers to the current axis. 
+Those are wrapped from {func}`rasterio.plot.show` and {func}`geopandas.GeoDataFrame.plot`, and relay any argument passed.
+
+```{seealso}
+GeoUtils' plotting tools only aim to get rid off the most common hassles when quickly plotting raster and vector data during analysis.
+
+For advanced plotting tools to create "publication-quality" figures, see [Cartopy](https://scitools.org.uk/cartopy/docs/latest/) or 
+[GeoPlot](https://residentmario.github.io/geoplot/index.html).
+```
+
+The plotting functionality is named {func}`~geoutils.Raster.show` everywhere, for consistency. Here again, a {class}`~geoutils.Raster` or 
+{class}`~geoutils.Vector` can be passed as a **reference to match** to ensure all data is displayed on the same grid and projection.
+
+```{code-cell} ipython3
+# Plot proximity to vector
+rast_proximity_to_vec = vect.proximity(rast)
+rast_proximity_to_vec.show(cbar_title="Distance to glacier outline")
+vect.show(rast_proximity_to_vec, fc="none")
+```
+
 ## Pythonic arithmetic and NumPy interface
 
 All {class}`~geoutils.Raster` objects support Python arithmetic ({func}`+<operator.add>`, {func}`-<operator.sub>`, {func}`/<operator.truediv>`, {func}`//<operator.floordiv>`, {func}`*<operator.mul>`,
@@ -119,7 +163,7 @@ rast += 1
 ```
 
 Additionally, the class {class}`~geoutils.Raster` possesses a NumPy masked-array interface that allows to apply to it any [NumPy universal function](https://numpy.org/doc/stable/reference/ufuncs.html) and
-most other NumPy array functions, while logically casting `dtypes` and respecting `.nodata` values.
+most other NumPy array functions, while logically casting {class}`dtypes<numpy.dtype>` and respecting {attr}`~geoutils.Raster.nodata` values.
 
 ```{code-cell} ipython3
 # Apply a normalization to the raster
@@ -144,7 +188,7 @@ Masks can then be used for indexing a {class}`~geoutils.Raster`, which returns a
 values_aoi = rast[mask_aoi]
 ```
 
-Masks also have simplified, overloaded {class}`~geoutils.Raster` methods due to their boolean `dtypes`. Using {func}`~geoutils.Raster.polygonize` with a
+Masks also have simplified, overloaded {class}`~geoutils.Raster` methods due to their boolean {class}`dtypes<numpy.dtype>`. Using {func}`~geoutils.Raster.polygonize` with a
 {class}`~geoutils.Mask` is straightforward, for instance, to retrieve a {class}`~geoutils.Vector` of the area-of-interest:
 
 ```{code-cell} ipython3
@@ -152,21 +196,25 @@ Masks also have simplified, overloaded {class}`~geoutils.Raster` methods due to
 vect_aoi = mask_aoi.polygonize()
 ```
 
-## Plotting and saving geospatial data
+```{code-cell} ipython3
+# Plot result
+rast.show(cmap='Reds', cbar_title='Normalized infrared')
+vect_aoi.show(fc='none', ec='k', lw=0.5)
+```
 
+## Saving to file
 
-Finally, GeoUtils includes basic plotting tools wrapping directly {func}`rasterio.plot.show` and {func}`geopandas.GeoDataFrame.plot` for {class}`~geoutils.Raster` and {class}`~geoutils.Vector`, respectively.
-The plotting function was renamed {func}`~geoutils.Raster.show` everywhere, for consistency.
+Finally, for saving a {class}`~geoutils.Raster` or {class}`~geoutils.Vector` to file, simply call the {func}`~geoutils.Raster.save` function.
 
-For saving, {func}`~geoutils.Raster.save` is used.
+```{code-cell} ipython3
+# Save our AOI vector
+# vect_aoi.save()
+```
 
 ```{code-cell} ipython3
-# Plot result
-import matplotlib.pyplot as plt
-fig = plt.figure()
-ax = plt.gca()
-rast.show(ax=ax, cmap='Reds', cbar_title='Normalized infrared')
-vect_aoi.ds.plot(ax=ax, fc='none', ec='k', lw=0.5)
+:tags: [remove-cell]
+import os
+# os.remove()
 ```
 
 ```{admonition} Wrap-up
@@ -184,6 +232,21 @@ For a **bonus** example on parsing satellite metadata and DEMs, continue below.
 Otherwise, for more **hands-on** examples, explore GeoUtils' gallery of examples!
 ```
 
+(quick-gallery)=
+## More examples
+
+To dive into more illustrated code, explore our gallery of examples that is composed of:
+- An {ref}`examples-io` section on opening, saving, loading, importing and exporting,
+- An {ref}`examples-handling` section on geotransformations (crop, reproject) and raster-vector interfacing,
+- An {ref}`examples-analysis` section on analysis tools and raster numerics.
+
+See also the full concatenated list of examples below.
+
+```{eval-rst}
+.. minigallery:: geoutils.Raster
+    :add-heading: Examples using rasters and vectors
+```
+
 ## **Bonus:** Parsing metadata with {class}`~geoutils.SatelliteImage`
 
 In our case, `rast` would be better opened using the {class}`~geoutils.Raster` subclass {class}`~geoutils.SatelliteImage` instead, which tentatively parses
@@ -207,7 +270,7 @@ There are many possible subclass to derive from a {class}`~geoutils.Raster`. Her
 .. inheritance-diagram:: geoutils.georaster.raster geoutils.georaster.satimg xdem.dem.DEM
     :top-classes: geoutils.georaster.raster.Raster
 ```
-```{note}
+```{seealso}
 The {class}`~xdem.DEM` class of [xDEM](https://xdem.readthedocs.io/en/latest/index.html) re-implements all methods of [gdalDEM](https://gdal.org/programs/gdaldem.html)
 (and more) to derive topographic attributes (hillshade, slope, aspect, etc), coded directly in Python for scalability and tested to yield the exact same
 results.
diff --git a/examples/analysis/README.rst b/examples/analysis/README.rst
index 8aa59895e..0424d218b 100644
--- a/examples/analysis/README.rst
+++ b/examples/analysis/README.rst
@@ -1,3 +1,5 @@
+.. _examples-analysis:
+
 Analysis
 ========
 
diff --git a/examples/handling/README.rst b/examples/handling/README.rst
index 6a555e5c4..b9ca3e6dc 100644
--- a/examples/handling/README.rst
+++ b/examples/handling/README.rst
@@ -1,3 +1,5 @@
+.. _examples-handling:
+
 Handling
 ========
 
diff --git a/examples/io/README.rst b/examples/io/README.rst
index 57008f221..74d899034 100644
--- a/examples/io/README.rst
+++ b/examples/io/README.rst
@@ -1,3 +1,5 @@
+.. _examples-io:
+
 Input/output
 ============
 

From 934b4d23813d9edd18996c77bd517e98be3c8bcd Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 28 Feb 2023 18:20:13 -0800
Subject: [PATCH 067/184] Linting

---
 doc/source/about_geoutils.md |  2 +-
 doc/source/quick_start.md    | 36 ++++++++++++++++++------------------
 2 files changed, 19 insertions(+), 19 deletions(-)

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index c89ed148e..1c84337ce 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -54,7 +54,7 @@ More on these core features of GeoUtils in the {ref}`quick-start`, or {ref}`core
 ## Why the need for GeoUtils?
 
 Recent community efforts have improved open-source geospatial analysis in Python, allowing to **move away from the low-level functions and
-complexity of [GDAL and OGR](https://gdal.org/)'s Python bindings** for raster and vector handling. Those efforts include in particular 
+complexity of [GDAL and OGR](https://gdal.org/)'s Python bindings** for raster and vector handling. Those efforts include in particular
 [Rasterio](https://rasterio.readthedocs.io/en/latest/) and [GeoPandas](https://geopandas.org/en/stable/docs.html).
 
 However, these new packages still maintain a relatively low-level API to serve all types of geospatial informatics users, **slowing down end-users focusing
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index 43b859066..a57fd5c08 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -30,9 +30,9 @@ rast = gu.Raster(filename_rast)
 vect = gu.Vector(filename_vect)
 ```
 
-A {class}`~geoutils.Raster` is a composition class with four main attributes: a {class}`~numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`, a 
+A {class}`~geoutils.Raster` is a composition class with four main attributes: a {class}`~numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`, a
 {class}`~pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`, an {class}`~affine.Affine` as {attr}`~geoutils.Raster.transform`, and a {class}`float` or {class}
-`int` as {attr}`geoutils.Raster.nodata`. 
+`int` as {attr}`geoutils.Raster.nodata`.
 
 
 ```{code-cell} ipython3
@@ -41,13 +41,13 @@ rast
 ```
 
 ```{important}
-When a file exists on disk, {class}`~geoutils.Raster` is linked to a {class}`rasterio.io.DatasetReader` object for loading the metadata. The array will be 
+When a file exists on disk, {class}`~geoutils.Raster` is linked to a {class}`rasterio.io.DatasetReader` object for loading the metadata. The array will be
 **loaded in-memory implicitly** when {attr}`~geoutils.Raster.data` is required by an operation.
 
 See {ref}`core-lazy-load` for more details.
 ```
 
-A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as {attr}`~geoutils.Vector.ds`, for which 
+A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as {attr}`~geoutils.Vector.ds`, for which
 most methods are wrapped directly into {class}`~geoutils.Vector`.
 
 ```{code-cell} ipython3
@@ -62,10 +62,10 @@ All other attributes are derivatives of those main attributes, or of the filenam
 
 ## Handling and match-reference
 
-In GeoUtils, geospatial handling operations are based on class methods, such as {func}`~geoutils.Raster.crop` or {func}`~geoutils.Raster.reproject`. 
+In GeoUtils, geospatial handling operations are based on class methods, such as {func}`~geoutils.Raster.crop` or {func}`~geoutils.Raster.reproject`.
 
-For convenience and consistency, nearly all of these methods can be passed solely another {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a 
-**reference to match** during the operation. A **reference {class}`~geoutils.Vector`** enforces a matching of {attr}`~geoutils.Vector.bounds` and/or 
+For convenience and consistency, nearly all of these methods can be passed solely another {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a
+**reference to match** during the operation. A **reference {class}`~geoutils.Vector`** enforces a matching of {attr}`~geoutils.Vector.bounds` and/or
 {attr}`~geoutils.Vector.crs`, while a **reference {class}`~geoutils.Raster`** can also enforce a matching of {attr}`~geoutils.Raster.res`, depending on the nature of the operation.
 
 
@@ -83,8 +83,8 @@ print(rast.info())
 
 Additionally, in GeoUtils, **methods that apply to the same georeferencing attributes have consistent naming**<sup>1</sup> across {class}`~geoutils.Raster` and {class}`~geoutils.Vector`.
 
-A {func}`~geoutils.Raster.reproject` involves a change in {attr}`~geoutils.Raster.crs` or {attr}`~geoutils.Raster.transform`, while a {func}`~geoutils.Raster.crop` only involves a change 
-in {attr}`~geoutils.Raster.bounds`. Using {func}`~geoutils.Raster.polygonize` allows to generate a {class}`~geoutils.Vector` from a {class}`~geoutils.Raster`, 
+A {func}`~geoutils.Raster.reproject` involves a change in {attr}`~geoutils.Raster.crs` or {attr}`~geoutils.Raster.transform`, while a {func}`~geoutils.Raster.crop` only involves a change
+in {attr}`~geoutils.Raster.bounds`. Using {func}`~geoutils.Raster.polygonize` allows to generate a {class}`~geoutils.Vector` from a {class}`~geoutils.Raster`,
 and the other way around for {func}`~geoutils.Vector.rasterize`.
 
 ```{list-table}
@@ -105,18 +105,18 @@ and the other way around for {func}`~geoutils.Vector.rasterize`.
      - {func}`~geoutils.Vector.rasterize`
 ```
 
-All methods can be also be passed any number of georeferencing arguments such as {attr}`~geoutils.Raster.shape` or {attr}`~geoutils.Raster.res`, and will 
+All methods can be also be passed any number of georeferencing arguments such as {attr}`~geoutils.Raster.shape` or {attr}`~geoutils.Raster.res`, and will
 naturally deduce others from the input {class}`~geoutils.Raster` or {class}`~geoutils.Vector`, much as in [GDAL](https://gdal.org/)'s command line.
 
 
-## Higher-level analysis tools 
+## Higher-level analysis tools
 
-GeoUtils also implements higher-level geospatial analysis tools for both {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>`. For 
-example, one can compute the distance to a {class}`~geoutils.Vector` geometry, or to target pixels of a {class}`~geoutils.Raster`, using 
+GeoUtils also implements higher-level geospatial analysis tools for both {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>`. For
+example, one can compute the distance to a {class}`~geoutils.Vector` geometry, or to target pixels of a {class}`~geoutils.Raster`, using
 {func}`~geoutils.Vector.proximity`.
 
-As with the geospatial handling functions previously listed, many analysis functions can take a {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a 
-**reference to utilize** during the operation. In the case of {func}`~geoutils.Vector.proximity`, passing a {class}`~geoutils.Raster` serves as a reference 
+As with the geospatial handling functions previously listed, many analysis functions can take a {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a
+**reference to utilize** during the operation. In the case of {func}`~geoutils.Vector.proximity`, passing a {class}`~geoutils.Raster` serves as a reference
 for the georeferenced grid on which to compute the distances.
 
 ```{code-cell} ipython3
@@ -131,17 +131,17 @@ and `rast`'s metadata is sufficient to provide a georeferenced grid for {func}`~
 
 ## Quick plotting
 
-To facilitate the analysis process, GeoUtils includes quick plotting tools that support multiple colorbars and implicitly add layers to the current axis. 
+To facilitate the analysis process, GeoUtils includes quick plotting tools that support multiple colorbars and implicitly add layers to the current axis.
 Those are wrapped from {func}`rasterio.plot.show` and {func}`geopandas.GeoDataFrame.plot`, and relay any argument passed.
 
 ```{seealso}
 GeoUtils' plotting tools only aim to get rid off the most common hassles when quickly plotting raster and vector data during analysis.
 
-For advanced plotting tools to create "publication-quality" figures, see [Cartopy](https://scitools.org.uk/cartopy/docs/latest/) or 
+For advanced plotting tools to create "publication-quality" figures, see [Cartopy](https://scitools.org.uk/cartopy/docs/latest/) or
 [GeoPlot](https://residentmario.github.io/geoplot/index.html).
 ```
 
-The plotting functionality is named {func}`~geoutils.Raster.show` everywhere, for consistency. Here again, a {class}`~geoutils.Raster` or 
+The plotting functionality is named {func}`~geoutils.Raster.show` everywhere, for consistency. Here again, a {class}`~geoutils.Raster` or
 {class}`~geoutils.Vector` can be passed as a **reference to match** to ensure all data is displayed on the same grid and projection.
 
 ```{code-cell} ipython3

From a4d784af05eae97724c3c2da19b67f11211019b1 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 1 Mar 2023 13:09:25 -0800
Subject: [PATCH 068/184] Force reset cache

---
 .github/workflows/python-app.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index 4159f2be8..6a10ee6a6 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -48,7 +48,7 @@ jobs:
         path: ${{ env.CONDA }}/envs
         key: conda-${{ matrix.os }}-${{ matrix.python-version }}-${{ steps.get-date.outputs.month }}-${{ hashFiles('dev-environment.yml') }}-${{ env.CACHE_NUMBER }}
       env:
-        CACHE_NUMBER: 1 # Increase this value to reset cache if environment.yml has not changed
+        CACHE_NUMBER: 2 # Increase this value to reset cache if environment.yml has not changed
       id: cache
 
     # The trick below is necessary because the generic environment file does not specify a Python version, and only

From 1da32b7df8396e5386c10b3a8a54b6833521e1ee Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 1 Mar 2023 13:51:52 -0800
Subject: [PATCH 069/184] Update with sphinx-book-theme 1.0 release

---
 doc/source/conf.py  | 39 ++++++++++++++++++++++++++++++++++++++-
 doc/source/index.md |  3 ++-
 2 files changed, 40 insertions(+), 2 deletions(-)

diff --git a/doc/source/conf.py b/doc/source/conf.py
index 34168b40b..7641fd17b 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -140,10 +140,47 @@ def setup(app):
 html_theme_options = {
     "use_sidenotes": True,
     "repository_url": "https://github.com/GlacioHack/geoutils",
+    "repository_branch": "main",
     "use_repository_button": True,
-    "logo_only": True,
+    "use_edit_page_button": True,
+    "use_source_button": True,
+    "use_issues_button": True,
+    "use_download_button": True,
+    #"logo_only": True,
+    # "icon_links": [
+    #         {
+    #             "name": "Conda",
+    #             "url": "https://anaconda.org/conda-forge/geoutils",
+    #             "icon": "https://img.shields.io/conda/vn/conda-forge/geoutils.svg",
+    #             "type": "url",
+    #         },
+    #         {
+    #             "name": "PyPI",
+    #             "url": "https://pypi.org/project/geoutils/0.0.10/",
+    #             "icon": "https://badge.fury.io/py/geoutils.svg",
+    #             "type": "url",
+    #         },
+    #         {
+    #             "name": "Testing",
+    #             "url": "https://coveralls.io/github/GlacioHack/geoutils?branch=main",
+    #             "icon": "https://coveralls.io/repos/github/GlacioHack/geoutils/badge.svg?branch=main",
+    #             "type": "url",
+    #         }],
 }
 
+html_context = {
+   # ...
+   "default_mode": "auto"
+}
+
+# Add the search bar to be always displayed (not only on top)
+html_sidebars = {
+    "**": ["navbar-logo.html",
+           "search-field.html",
+           "sbt-sidebar-nav.html"]
+}
+
+
 # html_logo = "path/to/myimage.png"
 
 html_static_path = ["_static"]
diff --git a/doc/source/index.md b/doc/source/index.md
index facc74725..1908bda8e 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -11,7 +11,8 @@ title: GeoUtils
 :columns: 4
 
 ```{image} ./_static/logo_only_v3.svg
-:width: 300px
+    :width: 300px
+    :class: dark-light
 ```
 :::
 

From cd8ebd75945eb57286df7c910a52299e9bd535c9 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 1 Mar 2023 13:59:58 -0800
Subject: [PATCH 070/184] Linting

---
 doc/source/conf.py | 12 ++++--------
 1 file changed, 4 insertions(+), 8 deletions(-)

diff --git a/doc/source/conf.py b/doc/source/conf.py
index 7641fd17b..d3cd56a04 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -146,7 +146,7 @@ def setup(app):
     "use_source_button": True,
     "use_issues_button": True,
     "use_download_button": True,
-    #"logo_only": True,
+    # "logo_only": True,
     # "icon_links": [
     #         {
     #             "name": "Conda",
@@ -169,16 +169,12 @@ def setup(app):
 }
 
 html_context = {
-   # ...
-   "default_mode": "auto"
+    # ...
+    "default_mode": "auto"
 }
 
 # Add the search bar to be always displayed (not only on top)
-html_sidebars = {
-    "**": ["navbar-logo.html",
-           "search-field.html",
-           "sbt-sidebar-nav.html"]
-}
+html_sidebars = {"**": ["navbar-logo.html", "search-field.html", "sbt-sidebar-nav.html"]}
 
 
 # html_logo = "path/to/myimage.png"

From c944ff26a2ba6e7fa3deeb00967e82da850f7de9 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 1 Mar 2023 15:23:37 -0800
Subject: [PATCH 071/184] Force cache reset again

---
 .github/workflows/python-app.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index 6a10ee6a6..ad8b0b02a 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -48,7 +48,7 @@ jobs:
         path: ${{ env.CONDA }}/envs
         key: conda-${{ matrix.os }}-${{ matrix.python-version }}-${{ steps.get-date.outputs.month }}-${{ hashFiles('dev-environment.yml') }}-${{ env.CACHE_NUMBER }}
       env:
-        CACHE_NUMBER: 2 # Increase this value to reset cache if environment.yml has not changed
+        CACHE_NUMBER: 100 # Increase this value to reset cache if environment.yml has not changed
       id: cache
 
     # The trick below is necessary because the generic environment file does not specify a Python version, and only

From 173febe027b9b951c03a5c5f5329b547eee6b633 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 1 Mar 2023 15:37:49 -0800
Subject: [PATCH 072/184] Fix path to doc

---
 doc/source/conf.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/doc/source/conf.py b/doc/source/conf.py
index d3cd56a04..7904231af 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -138,6 +138,7 @@ def setup(app):
 html_title = "GeoUtils"
 
 html_theme_options = {
+    "path_to_docs": "doc/source",
     "use_sidenotes": True,
     "repository_url": "https://github.com/GlacioHack/geoutils",
     "repository_branch": "main",

From 3e225bb9301a64ea6af3fd3c24842d4beb2717a7 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 1 Mar 2023 16:11:09 -0800
Subject: [PATCH 073/184] Force cache reset again

---
 .github/workflows/python-app.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index ad8b0b02a..d5e43ffc7 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -48,7 +48,7 @@ jobs:
         path: ${{ env.CONDA }}/envs
         key: conda-${{ matrix.os }}-${{ matrix.python-version }}-${{ steps.get-date.outputs.month }}-${{ hashFiles('dev-environment.yml') }}-${{ env.CACHE_NUMBER }}
       env:
-        CACHE_NUMBER: 100 # Increase this value to reset cache if environment.yml has not changed
+        CACHE_NUMBER: 101 # Increase this value to reset cache if environment.yml has not changed
       id: cache
 
     # The trick below is necessary because the generic environment file does not specify a Python version, and only

From a7386444b96721523844d4071041a74d90694f9e Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 1 Mar 2023 16:22:32 -0800
Subject: [PATCH 074/184] Add graphviz to dev environment for inheritance
 diagrams

---
 dev-environment.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/dev-environment.yml b/dev-environment.yml
index 20b05db62..88fd4f65f 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -14,6 +14,7 @@ dependencies:
   - autovizwidget
   - sphinx
   - myst-nb
+  - graphviz
   - sphinx-autodoc-typehints
   - sphinxcontrib-programoutput
   - numpydoc
@@ -32,5 +33,4 @@ dependencies:
   - pip:
     - sphinx-design
     - sphinx-book-theme
-    - graphviz
     - -e ./

From 66c20f91fc41f3fed633ae9ce1079678bc76eb6f Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 1 Mar 2023 16:48:56 -0800
Subject: [PATCH 075/184] Add pygraphviz to dev environment as well...

---
 dev-environment.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/dev-environment.yml b/dev-environment.yml
index 88fd4f65f..92c33be83 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -15,6 +15,7 @@ dependencies:
   - sphinx
   - myst-nb
   - graphviz
+  - python-graphviz
   - sphinx-autodoc-typehints
   - sphinxcontrib-programoutput
   - numpydoc

From 6f37c7c14b5044607b448ddd8e3722dff2c86af6 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 2 Mar 2023 11:53:11 -0800
Subject: [PATCH 076/184] Fix incorrect parameter description in reproject

---
 geoutils/georaster/raster.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 921de13b1..f92d2eba0 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -1702,13 +1702,13 @@ def reproject(
 
         To reproject a Raster with different source bounds, first run Raster.crop.
 
-        :param dst_ref: a reference raster. If set will use the attributes of this
+        :param dst_ref: A reference raster. If set will use the attributes of this
             raster for the output grid. Can be provided as Raster/rasterio data set or as path to the file.
         :param dst_crs: Specify the Coordinate Reference System or EPSG to reproject to. If dst_ref not set,
             defaults to self.crs.
         :param dst_size: Raster size to write to (x, y). Do not use with dst_res.
         :param dst_bounds: a BoundingBox object or a dictionary containing left, bottom, right, top bounds in the
-            source CRS.
+            destination CRS.
         :param dst_res: Pixel size in units of target CRS. Either 1 value or (xres, yres). Do not use with dst_size.
         :param dst_nodata: nodata value of the destination. If set to None, will use the same as source,
             and if source is None, will use GDAL's default.

From 326772649c5d6a6c9a3c0bb7e61c1acd4a8bcb60 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 2 Mar 2023 13:58:17 -0800
Subject: [PATCH 077/184] Fix operator in value_to_coords

---
 geoutils/georaster/raster.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index f92d2eba0..21306d3d4 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -2372,7 +2372,7 @@ def format_value(value: Any) -> Any:
             x, y = projtools.reproject_from_latlon((y, x), self.crs)  # type: ignore
 
         # Convert coordinates to pixel space
-        rows, cols = rio.transform.rowcol(self.transform, x, y, op=round)
+        rows, cols = rio.transform.rowcol(self.transform, x, y, op=np.floor)
 
         # Loop over all coordinates passed
         for k in range(len(rows)):  # type: ignore

From 147363ebe9c3ce53b55a7a7f9407f3219387295a Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 2 Mar 2023 14:36:28 -0800
Subject: [PATCH 078/184] Adapt tests to value_to_coords to check all values on
 pixel are resolved

---
 geoutils/georaster/raster.py |  5 +--
 tests/test_georaster.py      | 66 ++++++++++++++++++++----------------
 2 files changed, 40 insertions(+), 31 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 21306d3d4..f158ac09c 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -25,6 +25,7 @@
 import rasterio.windows
 from affine import Affine
 from mpl_toolkits.axes_grid1 import make_axes_locatable
+from math import floor
 from rasterio.crs import CRS
 from rasterio.enums import Resampling
 from rasterio.features import shapes
@@ -2372,7 +2373,7 @@ def format_value(value: Any) -> Any:
             x, y = projtools.reproject_from_latlon((y, x), self.crs)  # type: ignore
 
         # Convert coordinates to pixel space
-        rows, cols = rio.transform.rowcol(self.transform, x, y, op=np.floor)
+        rows, cols = rio.transform.rowcol(self.transform, x, y, op=floor)
 
         # Loop over all coordinates passed
         for k in range(len(rows)):  # type: ignore
@@ -2577,7 +2578,7 @@ def ij2xy(self, i: ArrayLike, j: ArrayLike, offset: str = "ul") -> tuple[np.ndar
         """
         Return x,y coordinates for a given row, column index pair.
 
-        Defaults to upper-left, for which this functionis fully reversible with xy2ij.
+        Defaults to upper-left, for which this function is fully reversible with xy2ij.
 
         :param i: Row (i) index of pixel.
         :param j: Column (j) index of pixel.
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 6c469c830..f500208a5 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -1425,6 +1425,7 @@ def test_xy2ij_and_interp(self) -> None:
         i, j = r.xy2ij(x, y)
         assert img[0, int(i), int(j)] == r.interp_points([(x, y)], order=1)[0]
 
+
     def test_value_at_coords(self) -> None:
         """
         Test that value at coords works as intended
@@ -1435,14 +1436,18 @@ def test_value_at_coords(self) -> None:
         # Open raster
         r = gu.Raster(self.landsat_b4_crop_path)
 
-        # Random test point that raised an error
-        itest0 = 118
-        jtest0 = 450
-        xtest0 = 496930
-        ytest0 = 3099170
+        # A pixel center where all neighbouring coordinates are different:
+        # array([[[237, 194, 239],
+        #          [250, 173, 164],
+        #          [255, 192, 128]]]
+        itest0 = 120
+        jtest0 = 451
+        # This is the center of the pixel
+        xtest0 = 496975
+        ytest0 = 3099095
 
         # Verify coordinates match indexes
-        x_out, y_out = r.ij2xy(itest0, jtest0, offset="ul")
+        x_out, y_out = r.ij2xy(itest0, jtest0, offset="center")
         assert x_out == xtest0
         assert y_out == ytest0
 
@@ -1451,6 +1456,12 @@ def test_value_at_coords(self) -> None:
         z = r.data.data[0, itest0, jtest0]
         assert z == z_val
 
+        # Check that the value is the same the other 4 corners of the pixel
+        assert z == r.value_at_coords(xtest0 + 0.49 * r.res[0], ytest0 - 0.49*r.res[1])
+        assert z == r.value_at_coords(xtest0 - 0.49 * r.res[0], ytest0 + 0.49*r.res[1])
+        assert z == r.value_at_coords(xtest0 - 0.49 * r.res[0], ytest0 - 0.49*r.res[1])
+        assert z == r.value_at_coords(xtest0 + 0.49 * r.res[0], ytest0 + 0.49*r.res[1])
+
         # -- Tests 2: check arguments work as intended --
 
         # 1/ Lat-lon argument check by getting the coordinates of our last test point
@@ -1462,8 +1473,8 @@ def test_value_at_coords(self) -> None:
         # Get the indexes for the multi-band Raster
         r_multi = gu.Raster(self.landsat_rgb_path)
         itest, jtest = r_multi.xy2ij(xtest0, ytest0)
-        itest = itest[0]
-        jtest = jtest[0]
+        itest = int(itest[0])
+        jtest = int(jtest[0])
         # Extract the values
         z_band1 = r_multi.value_at_coords(xtest0, ytest0, index=1)
         z_band2 = r_multi.value_at_coords(xtest0, ytest0, index=2)
@@ -1525,6 +1536,24 @@ def test_value_at_coords(self) -> None:
         assert np.array_equal(windows[0], win0, equal_nan=True)
         assert np.array_equal(windows[1], win1, equal_nan=True)
 
+        # -- Tests 5 -- Check image corners and latlon argument
+
+        # Lower right pixel
+        x, y = [r.bounds.right - r.res[0]/2, r.bounds.bottom + r.res[1]/2]
+        lat, lon = pt.reproject_to_latlon([x, y], r.crs)
+        assert r.value_at_coords(x, y) == r.value_at_coords(lon, lat, latlon=True) == r.data[0, -1, -1]
+
+        # One pixel above
+        x, y = [r.bounds.right - r.res[0]/2, r.bounds.bottom + 3*r.res[1]/2]
+        lat, lon = pt.reproject_to_latlon([x, y], r.crs)
+        assert r.value_at_coords(x, y) == r.value_at_coords(lon, lat, latlon=True) == r.data[0, -2, -1]
+
+        # One pixel left
+        x, y = [r.bounds.right - 3*r.res[0]/2, r.bounds.bottom + r.res[1]/2]
+        lat, lon = pt.reproject_to_latlon([x, y], r.crs)
+        assert r.value_at_coords(x, y) == r.value_at_coords(lon, lat, latlon=True) == r.data[0, -1, -2]
+
+
     @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])  # type: ignore
     def test_set_nodata(self, example: str) -> None:
         """
@@ -1979,27 +2008,6 @@ def test_coords(self) -> None:
             assert yy.min() == pytest.approx(img.bounds.top + hy)
             assert yy.max() == pytest.approx(img.bounds.bottom - hy)
 
-    def test_value_at_coords2(self) -> None:
-        """
-        Check that values returned at selected pixels correspond to what is expected, both for original CRS and lat/lon.
-        """
-        img = gu.Raster(self.landsat_b4_path)
-
-        # Lower right pixel
-        x, y = [img.bounds.right - img.res[0], img.bounds.bottom + img.res[1]]
-        lat, lon = pt.reproject_to_latlon([x, y], img.crs)
-        assert img.value_at_coords(x, y) == img.value_at_coords(lon, lat, latlon=True) == img.data[0, -1, -1]
-
-        # One pixel above
-        x, y = [img.bounds.right - img.res[0], img.bounds.bottom + 2 * img.res[1]]
-        lat, lon = pt.reproject_to_latlon([x, y], img.crs)
-        assert img.value_at_coords(x, y) == img.value_at_coords(lon, lat, latlon=True) == img.data[0, -2, -1]
-
-        # One pixel left
-        x, y = [img.bounds.right - 2 * img.res[0], img.bounds.bottom + img.res[1]]
-        lat, lon = pt.reproject_to_latlon([x, y], img.crs)
-        assert img.value_at_coords(x, y) == img.value_at_coords(lon, lat, latlon=True) == img.data[0, -1, -2]
-
     def test_from_array(self) -> None:
 
         # Test that from_array works if nothing is changed

From 04b1b7d74d044b2ce4a20c85fc07adc749f4f720 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 2 Mar 2023 14:42:29 -0800
Subject: [PATCH 079/184] Fix cache re-loading error by moving all dependencies
 to conda-forge channel

---
 dev-environment.yml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/dev-environment.yml b/dev-environment.yml
index 92c33be83..ec323bd75 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -30,8 +30,8 @@ dependencies:
   - scikit-image
   - pyyaml
   - rioxarray
+  - sphinx-design
+  - sphinx-book-theme
 
   - pip:
-    - sphinx-design
-    - sphinx-book-theme
     - -e ./

From 6ca58a0c4b0ebf5b2c9fe16ee5e6a4054c173cf0 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 2 Mar 2023 15:20:44 -0800
Subject: [PATCH 080/184] Fix parameter description

---
 geoutils/georaster/raster.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index f158ac09c..2a4b935b5 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -1710,7 +1710,7 @@ def reproject(
         :param dst_size: Raster size to write to (x, y). Do not use with dst_res.
         :param dst_bounds: a BoundingBox object or a dictionary containing left, bottom, right, top bounds in the
             destination CRS.
-        :param dst_res: Pixel size in units of target CRS. Either 1 value or (xres, yres). Do not use with dst_size.
+        :param dst_res: Pixel size in units of destination CRS. Either 1 value or (xres, yres). Do not use with dst_size.
         :param dst_nodata: nodata value of the destination. If set to None, will use the same as source,
             and if source is None, will use GDAL's default.
         :param dst_dtype: Set data type of output.

From 39126b6e9773dfe361469aa7c59378430410b06d Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 2 Mar 2023 15:21:33 -0800
Subject: [PATCH 081/184] Linting

---
 geoutils/georaster/raster.py |  5 +++--
 tests/test_georaster.py      | 16 +++++++---------
 2 files changed, 10 insertions(+), 11 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 2a4b935b5..67aaf07f0 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -10,6 +10,7 @@
 from collections import abc
 from collections.abc import Iterable
 from contextlib import ExitStack
+from math import floor
 from numbers import Number
 from typing import IO, Any, Callable, TypeVar, overload
 
@@ -25,7 +26,6 @@
 import rasterio.windows
 from affine import Affine
 from mpl_toolkits.axes_grid1 import make_axes_locatable
-from math import floor
 from rasterio.crs import CRS
 from rasterio.enums import Resampling
 from rasterio.features import shapes
@@ -1710,7 +1710,8 @@ def reproject(
         :param dst_size: Raster size to write to (x, y). Do not use with dst_res.
         :param dst_bounds: a BoundingBox object or a dictionary containing left, bottom, right, top bounds in the
             destination CRS.
-        :param dst_res: Pixel size in units of destination CRS. Either 1 value or (xres, yres). Do not use with dst_size.
+        :param dst_res: Pixel size in units of destination CRS. Either 1 value or (xres, yres). Do not use with
+            dst_size.
         :param dst_nodata: nodata value of the destination. If set to None, will use the same as source,
             and if source is None, will use GDAL's default.
         :param dst_dtype: Set data type of output.
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index f500208a5..1eaedf52f 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -1425,7 +1425,6 @@ def test_xy2ij_and_interp(self) -> None:
         i, j = r.xy2ij(x, y)
         assert img[0, int(i), int(j)] == r.interp_points([(x, y)], order=1)[0]
 
-
     def test_value_at_coords(self) -> None:
         """
         Test that value at coords works as intended
@@ -1457,10 +1456,10 @@ def test_value_at_coords(self) -> None:
         assert z == z_val
 
         # Check that the value is the same the other 4 corners of the pixel
-        assert z == r.value_at_coords(xtest0 + 0.49 * r.res[0], ytest0 - 0.49*r.res[1])
-        assert z == r.value_at_coords(xtest0 - 0.49 * r.res[0], ytest0 + 0.49*r.res[1])
-        assert z == r.value_at_coords(xtest0 - 0.49 * r.res[0], ytest0 - 0.49*r.res[1])
-        assert z == r.value_at_coords(xtest0 + 0.49 * r.res[0], ytest0 + 0.49*r.res[1])
+        assert z == r.value_at_coords(xtest0 + 0.49 * r.res[0], ytest0 - 0.49 * r.res[1])
+        assert z == r.value_at_coords(xtest0 - 0.49 * r.res[0], ytest0 + 0.49 * r.res[1])
+        assert z == r.value_at_coords(xtest0 - 0.49 * r.res[0], ytest0 - 0.49 * r.res[1])
+        assert z == r.value_at_coords(xtest0 + 0.49 * r.res[0], ytest0 + 0.49 * r.res[1])
 
         # -- Tests 2: check arguments work as intended --
 
@@ -1539,21 +1538,20 @@ def test_value_at_coords(self) -> None:
         # -- Tests 5 -- Check image corners and latlon argument
 
         # Lower right pixel
-        x, y = [r.bounds.right - r.res[0]/2, r.bounds.bottom + r.res[1]/2]
+        x, y = [r.bounds.right - r.res[0] / 2, r.bounds.bottom + r.res[1] / 2]
         lat, lon = pt.reproject_to_latlon([x, y], r.crs)
         assert r.value_at_coords(x, y) == r.value_at_coords(lon, lat, latlon=True) == r.data[0, -1, -1]
 
         # One pixel above
-        x, y = [r.bounds.right - r.res[0]/2, r.bounds.bottom + 3*r.res[1]/2]
+        x, y = [r.bounds.right - r.res[0] / 2, r.bounds.bottom + 3 * r.res[1] / 2]
         lat, lon = pt.reproject_to_latlon([x, y], r.crs)
         assert r.value_at_coords(x, y) == r.value_at_coords(lon, lat, latlon=True) == r.data[0, -2, -1]
 
         # One pixel left
-        x, y = [r.bounds.right - 3*r.res[0]/2, r.bounds.bottom + r.res[1]/2]
+        x, y = [r.bounds.right - 3 * r.res[0] / 2, r.bounds.bottom + r.res[1] / 2]
         lat, lon = pt.reproject_to_latlon([x, y], r.crs)
         assert r.value_at_coords(x, y) == r.value_at_coords(lon, lat, latlon=True) == r.data[0, -1, -2]
 
-
     @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])  # type: ignore
     def test_set_nodata(self, example: str) -> None:
         """

From 8d768ff13e3f6f65ee50cc51bcee09dd50bfd315 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 3 Mar 2023 17:40:06 -0800
Subject: [PATCH 082/184] Clarify conf and modify title

---
 doc/source/conf.py  | 4 +++-
 doc/source/index.md | 3 ++-
 2 files changed, 5 insertions(+), 2 deletions(-)

diff --git a/doc/source/conf.py b/doc/source/conf.py
index 7904231af..e2894dcd7 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -44,6 +44,7 @@
 # For sphinx design to work properly
 myst_enable_extensions = ["colon_fence"]
 
+# For myst-nb to find the Jupyter kernel (=environment) to run from
 nb_kernel_rgx_aliases = {".*geoutils.*": "python3"}
 
 intersphinx_mapping = {
@@ -169,13 +170,14 @@ def setup(app):
     #         }],
 }
 
+# For dark mode
 html_context = {
     # ...
     "default_mode": "auto"
 }
 
 # Add the search bar to be always displayed (not only on top)
-html_sidebars = {"**": ["navbar-logo.html", "search-field.html", "sbt-sidebar-nav.html"]}
+# html_sidebars = {"**": ["navbar-logo.html", "search-field.html", "sbt-sidebar-nav.html"]}
 
 
 # html_logo = "path/to/myimage.png"
diff --git a/doc/source/index.md b/doc/source/index.md
index 1908bda8e..2a2fc9f23 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -19,8 +19,9 @@ title: GeoUtils
 :::{grid-item}
 :columns: 8
 :class: sd-fs-3
+:child-align: center
 
-GeoUtils is an **accessible**, **efficient** and **reliable** package to analyze geospatial data.
+GeoUtils is a Python package for **accessible**, **efficient** and **reliable** geospatial analysis.
 ::::
 
 **Accessible** owing to its convenient object-based structure, intuitive match-reference operations and familiar geospatial dependencies

From 7d34e0a4bc1b306592560c98dbb3415395bbc7f0 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 7 Mar 2023 17:11:42 -0800
Subject: [PATCH 083/184] Add option as_array to Vector.create_mask() and index
 and index assignment to raster

---
 geoutils/georaster/raster.py | 80 ++++++++++++++++++++++++++++++------
 geoutils/geovector.py        | 38 ++++++++++++++++-
 tests/test_georaster.py      | 50 +++++++++++++++++++++-
 tests/test_geovector.py      | 19 +++++----
 4 files changed, 163 insertions(+), 24 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index bc0dbb4fc..a9a8dc35f 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -694,16 +694,68 @@ def __str__(self) -> str:
 
         return str(s)
 
-    def __getitem__(self, value: Raster | Vector | list[float] | tuple[float, ...]) -> np.ndarray | Raster:
-        """Subset the Raster object: calls the crop method with default parameters"""
-
-        # If input is Mask with the same shape and georeferencing, index in 1D
-        if isinstance(value, Mask) and self.georeferenced_grid_equal(value):
-            return self.data[value.data]
+    def __getitem__(self, index: Raster | Vector | np.ndarray | list[float] | tuple[float, ...]) -> np.ndarray | Raster:
+        """
+        Index or subset the raster:
+        - If a mask of same georeferencing or array of same shape is passed, return the indexed raster array.
+        - If a raster, vector, list or tuple of bounds is passed, return the cropped raster matching those objects.
+        """
+
+        # If input is Mask with the same shape and georeferencing
+        if isinstance(index, Mask):
+            if not self.georeferenced_grid_equal(index):
+                raise ValueError("Indexing a raster with a mask requires the two being on the same georeferenced grid.")
+            return self.data[:, index.data.squeeze()]
+        # If input is array with the same shape
+        elif isinstance(index, np.ndarray):
+            if np.shape(index) != self.shape:
+                raise ValueError("Indexing a raster with an array requires the two having the same shape.")
+            if str(index.dtype) != "bool":
+                index = index.astype(bool)
+                warnings.warn(message="Input array was cast to boolean for indexing.", category=UserWarning)
+            return self.data[:, index]
 
         # Otherwise, subset with crop
         else:
-            return self.crop(cropGeom=value, inplace=False)
+            return self.crop(cropGeom=index, inplace=False)
+
+    def __setitem__(self, index: Mask | np.ndarray, assign: np.ndarray | Number) -> None:
+        """
+          Index assignment: if a mask of same georeferencing or array of same shape is passed,
+          assign values of the raster array.
+        """
+
+        # First, check index
+
+        # If input is Mask with the same shape and georeferencing
+        if isinstance(index, Mask):
+            if not self.georeferenced_grid_equal(index):
+                raise ValueError("Indexing a raster with a mask requires the two being on the same georeferenced grid.")
+
+            ind = index.data.squeeze()
+        # If input is array with the same shape
+        elif isinstance(index, np.ndarray):
+            if np.shape(index) != self.shape:
+                raise ValueError("Indexing a raster with an array requires the two having the same shape.")
+            if str(index.dtype) != "bool":
+                ind = index.astype(bool)
+                warnings.warn(message="Input array was cast to boolean for indexing.", category=UserWarning)
+            else:
+                ind = index
+        # Otherwise, raise an error
+        else:
+            raise ValueError("Indexing a raster requires a mask of same georeferenced grid, or a boolean array of same shape.")
+
+        # Second, assign, NumPy will raise appropriate errors itself
+
+        # We need to explicitly load here, as we cannot call the data getter/setter directly
+        if not self.is_loaded:
+            self.load()
+        # Assign the values to the index
+        self._data[:, ind] = assign
+
+        return None
+
 
     def raster_equal(self, other: object) -> bool:
         """Check if a Raster masked array's data (including masked values), mask, fill_value and dtype are equal,
@@ -727,8 +779,8 @@ def _overloading_check(
         self: RasterType, other: RasterType | np.ndarray | Number
     ) -> tuple[np.ma.masked_array, np.ma.masked_array | Number, float | int | list[int] | list[float] | None]:
         """
-        Before any operation overloading, check input data type and return both self and other data as either \
-a np.ndarray or number, converted to the minimum compatible dtype between both datasets.
+        Before any operation overloading, check input data type and return both self and other data as either
+        a np.ndarray or number, converted to the minimum compatible dtype between both datasets.
         Also returns the best compatible nodata value.
 
         The nodata value is set in the following order:
@@ -1302,7 +1354,7 @@ def data(self, new_data: np.ndarray | np.ma.masked_array) -> None:
         else:
             self._data = np.ma.masked_array(data=new_data, fill_value=self.nodata)
 
-    def set_mask(self, mask: np.ndarray) -> None:
+    def set_mask(self, mask: np.ndarray | Mask) -> None:
         """
         Mask all pixels of self.data where `mask` is set to True or > 0.
 
@@ -1312,8 +1364,8 @@ def set_mask(self, mask: np.ndarray) -> None:
         :param mask: The data mask
         """
         # Check that mask is a Numpy array
-        if not isinstance(mask, np.ndarray):
-            raise ValueError("mask must be a numpy array.")
+        if not isinstance(mask, (np.ndarray, Mask)):
+            raise ValueError("mask must be a numpy array or a Mask.")
 
         # Check that new_data has correct shape
         if self.is_loaded:
@@ -1321,6 +1373,10 @@ def set_mask(self, mask: np.ndarray) -> None:
         else:
             raise AttributeError("self.data must be loaded first, with e.g. self.load()")
 
+        # If the mask is a Mask instance, pass the boolean array
+        if isinstance(mask, Mask):
+            mask = mask.data.filled(False)
+
         if mask.shape != orig_shape:
             # In case first dimension is empty and other dimensions match -> reshape mask
             if (orig_shape[0] == 1) & (orig_shape[1:] == mask.shape):
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index 47024d739..3e6440f34 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -404,6 +404,34 @@ def reproject(
 
         return Vector(self.ds.to_crs(crs=dst_crs))
 
+    @overload
+    def create_mask(
+            self,
+            rst: str | gu.Raster | None = None,
+            crs: CRS | None = None,
+            xres: float | None = None,
+            yres: float | None = None,
+            bounds: tuple[float, float, float, float] | None = None,
+            buffer: int | float | np.number = 0,
+            *,
+            as_array: Literal[False] = False
+    ) -> gu.Mask:
+        ...
+
+    @overload
+    def create_mask(
+            self,
+            rst: str | gu.Raster | None = None,
+            crs: CRS | None = None,
+            xres: float | None = None,
+            yres: float | None = None,
+            bounds: tuple[float, float, float, float] | None = None,
+            buffer: int | float | np.number = 0,
+            *,
+            as_array: Literal[True]
+    ) -> np.ndarray:
+        ...
+
     def create_mask(
         self,
         rst: str | gu.Raster | None = None,
@@ -412,7 +440,8 @@ def create_mask(
         yres: float | None = None,
         bounds: tuple[float, float, float, float] | None = None,
         buffer: int | float | np.number = 0,
-    ) -> gu.Mask:
+        as_array: bool = False
+    ) -> gu.Mask | np.ndarray:
         """
         Rasterize the vector features into a boolean mask matching the georeferencing of a raster.
 
@@ -428,6 +457,7 @@ def create_mask(
         :param bounds: Output raster bounds (left, bottom, right, top). Only if rst is None (Default to self bounds)
         :param buffer: Size of buffer to be added around the features, in the raster's projection units.
             If a negative value is set, will erode the features.
+        :param as_array: Return mask as a boolean array
 
         :returns: A Mask object contain a boolean array
         """
@@ -507,7 +537,11 @@ def create_mask(
         if rst is not None:
             mask = mask.reshape((rst.count, rst.height, rst.width))  # type: ignore
 
-        return gu.Raster.from_array(data=mask, transform=transform, crs=crs, nodata=None)
+        # Return output as mask or as array
+        if as_array:
+            return mask.squeeze()
+        else:
+            return gu.Raster.from_array(data=mask, transform=transform, crs=crs, nodata=None)
 
     def rasterize(
         self,
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 75e0ede76..1a1d5a9a7 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -738,10 +738,56 @@ def test_masking(self, example: str) -> None:
         with pytest.raises(ValueError, match="mask must be a numpy array"):
             r.set_mask(1)
 
-    test_data = [[landsat_b4_path, everest_outlines_path], [aster_dem_path, aster_outlines_path]]
+    @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])  # type: ignore
+    def test_getitem_setitem(self, example: str) -> None:
+        """Test the __getitem__ method ([]) for indexing and __setitem__ for index assignment."""
+
+        # Open a Raster
+        rst = gu.Raster(example)
+
+        # Create a boolean array of the same shape, and a mask of the same transform/crs
+        arr = np.random.randint(low=0, high=2, size=rst.shape, dtype=bool)
+        mask = gu.Mask.from_array(data=arr, transform=rst.transform, crs=rst.crs)
+
+        # Check that indexing works with both of those
+        vals_arr = rst[arr]
+        vals_mask = rst[mask]
+
+        # Those indexing operations should yield the same 1D array of values
+        assert np.array_equal(vals_mask, vals_arr, equal_nan=True)
+
+        # Now, we test index assignment
+        rst2 = rst.copy()
+
+        # It should work with a number, or a 1D array of the same length as the indexed one
+        rst[mask] = 1.
+        rst2[arr] = np.ones(rst2.shape)[arr]
+
+        # The rasters should be the same
+        assert rst2.raster_equal(rst)
+
+        # Check that errors are raised for both indexing and index assignment
+        # An error when the shape is wrong
+        with pytest.raises(ValueError, match="Indexing a raster with an array requires the two having the same shape."):
+            rst[arr[:-1, :-1]]
+            rst[arr[:-1, :-1]] = 1
+        # A warning when the array type is not boolean
+        with pytest.warns(UserWarning, match="Input array was cast to boolean for indexing."):
+            rst[arr.astype("uint8")]
+            rst[arr.astype("uint8")] = 1
+        # An error when the georeferencing of the Mask does not match
+        mask.shift(1, 1)
+        with pytest.raises(ValueError, match="Indexing a raster with a mask requires the two being on the same georeferenced grid."):
+            rst[mask]
+            rst[mask] = 1
+        # For assignment, an error when the input index is neither a Mask or a boolean ndarray
+        # (indexing attempts to call crop for differently shaped data)
+        with pytest.raises(ValueError, match="Indexing a raster requires a mask of same georeferenced grid, or a boolean array of same shape."):
+            rst["lol"] = 1
 
+    test_data = [[landsat_b4_path, everest_outlines_path], [aster_dem_path, aster_outlines_path]]
     @pytest.mark.parametrize("data", test_data)  # type: ignore
-    def test_crop_and_getitem(self, data: list[str]) -> None:
+    def test_crop(self, data: list[str]) -> None:
         """Test for crop method, also called by square brackets through __getitem__"""
 
         raster_path, outlines_path = data
diff --git a/tests/test_geovector.py b/tests/test_geovector.py
index 27f5cb26f..ad629196b 100644
--- a/tests/test_geovector.py
+++ b/tests/test_geovector.py
@@ -250,7 +250,7 @@ def test_create_mask(self) -> None:
         """
         # First with given res and bounds -> Should be a 21 x 21 array with 0 everywhere except center pixel
         vector = self.vector.copy()
-        out_mask = vector.create_mask(xres=1, bounds=(0, 0, 21, 21)).get_nanarray()
+        out_mask = vector.create_mask(xres=1, bounds=(0, 0, 21, 21), as_array=True)
         ref_mask = np.zeros((21, 21), dtype="bool")
         ref_mask[10, 10] = True
         assert out_mask.shape == (21, 21)
@@ -263,7 +263,7 @@ def test_create_mask(self) -> None:
 
         # Then with a gu.Raster as reference, single band
         rst = gu.Raster.from_array(np.zeros((21, 21)), transform=(1.0, 0.0, 0.0, 0.0, -1.0, 21.0), crs="EPSG:4326")
-        out_mask = vector.create_mask(rst).get_nanarray()
+        out_mask = vector.create_mask(rst, as_array=True)
         assert out_mask.shape == (21, 21)
 
         # With gu.Raster, 2 bands -> fails...
@@ -271,14 +271,14 @@ def test_create_mask(self) -> None:
         # out_mask = vector.create_mask(rst)
 
         # Test that buffer = 0 works
-        out_mask_buff = vector.create_mask(rst, buffer=0).get_nanarray()
+        out_mask_buff = vector.create_mask(rst, buffer=0, as_array=True)
         assert np.all(ref_mask == out_mask_buff)
 
         # Test that buffer > 0 works
         rst = gu.Raster.from_array(np.zeros((21, 21)), transform=(1.0, 0.0, 0.0, 0.0, -1.0, 21.0), crs="EPSG:4326")
-        out_mask = vector.create_mask(rst).get_nanarray()
+        out_mask = vector.create_mask(rst, as_array=True)
         for buffer in np.arange(1, 8):
-            out_mask_buff = vector.create_mask(rst, buffer=buffer).get_nanarray()
+            out_mask_buff = vector.create_mask(rst, buffer=buffer, as_array=True)
             diff = out_mask_buff & ~out_mask
             assert np.count_nonzero(diff) > 0
             # Difference between masks should always be thinner than buffer + 1
@@ -287,9 +287,9 @@ def test_create_mask(self) -> None:
 
         # Test that buffer < 0 works
         vector_5 = self.vector_5
-        out_mask = vector_5.create_mask(rst).get_nanarray()
+        out_mask = vector_5.create_mask(rst, as_array=True)
         for buffer in np.arange(-1, -3, -1):
-            out_mask_buff = vector_5.create_mask(rst, buffer=buffer).get_nanarray()
+            out_mask_buff = vector_5.create_mask(rst, buffer=buffer, as_array=True)
             diff = ~out_mask_buff & out_mask
             assert np.count_nonzero(diff) > 0
             # Difference between masks should always be thinner than buffer + 1
@@ -297,7 +297,10 @@ def test_create_mask(self) -> None:
             assert np.count_nonzero(eroded_diff) == 0
 
         # Check that no warning is raised when creating a mask with a xres not multiple of vector bounds
-        vector.create_mask(xres=1.01)
+        mask = vector.create_mask(xres=1.01)
+
+        # Check that by default, create_mask returns a Mask
+        assert isinstance(mask, gu.Mask)
 
         # Check that a warning is raised if the bounds were passed specifically by the user
         with pytest.warns(UserWarning):

From 1dc3ef5758b2c1bd3f36290b7c5e7c96bb3122c6 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 7 Mar 2023 18:11:39 -0800
Subject: [PATCH 084/184] Add tests to pass a Mask to set_mask

---
 geoutils/georaster/raster.py | 11 ++++++-----
 tests/test_georaster.py      | 16 ++++++++++++++--
 2 files changed, 20 insertions(+), 7 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index a9a8dc35f..2db64dce9 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -1376,15 +1376,16 @@ def set_mask(self, mask: np.ndarray | Mask) -> None:
         # If the mask is a Mask instance, pass the boolean array
         if isinstance(mask, Mask):
             mask = mask.data.filled(False)
+        mask = mask.squeeze()
 
         if mask.shape != orig_shape:
-            # In case first dimension is empty and other dimensions match -> reshape mask
-            if (orig_shape[0] == 1) & (orig_shape[1:] == mask.shape):
-                mask = mask.reshape(orig_shape)
+            # In case first dimension is more than one (several bands) and other dimensions match
+            if orig_shape[1:] == mask.shape:
+                self.data[:, mask > 0] = np.ma.masked
             else:
                 raise ValueError(f"mask must be of the same shape as existing data: {orig_shape}.")
-
-        self.data[mask > 0] = np.ma.masked
+        else:
+            self.data[mask > 0] = np.ma.masked
 
     def info(self, stats: bool = False) -> str:
         """
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 1a1d5a9a7..b77102f37 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -703,9 +703,21 @@ def test_masking(self, example: str) -> None:
         """
         # Test boolean mask
         r = gu.Raster(example)
-        mask = r.data.data == np.min(r.data.data)
+        # We need to know the existing nodata in case they exist, as set_mask only masks new values
+        orig_mask = r.data.mask.copy().squeeze()
+        mask = r.data.data == np.nanmin(r.data)
         r.set_mask(mask)
-        assert (np.count_nonzero(mask) > 0) & np.array_equal(mask > 0, r.data.mask)
+        assert (np.count_nonzero(mask) > 0) & np.array_equal(orig_mask | mask > 0, r.data.mask)
+
+        #  Test mask object
+        r2 = gu.Raster(example)
+        mask2 = r2 == np.nanmin(r2)
+        r2.set_mask(mask2)
+        # Indexing at 0 for the mask in case the data has multiple bands
+        assert (np.count_nonzero(mask2) > 0) & np.array_equal(orig_mask | mask2.data.filled(False).squeeze(), r2.data.mask[0, :, :])
+        # The two last masking (array or Mask) should yield the same result when the data is only 2D
+        if r.count == 1:
+            assert np.array_equal(r.data.mask, r2.data.mask)
 
         # Test non-boolean mask with values > 0
         r = gu.Raster(example)

From bbad40691ed211ab5134145c680383f28658830b Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 7 Mar 2023 22:31:00 -0800
Subject: [PATCH 085/184] Make nodata values a tuple and not list to be
 immutable, and thus hashable

---
 geoutils/georaster/raster.py | 14 +++++++-------
 tests/test_georaster.py      |  2 +-
 2 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 2db64dce9..c658ae1c6 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -307,7 +307,7 @@ def __init__(
         self.tags: dict[str, Any] = {}
 
         self._data: np.ma.masked_array | None = None
-        self._nodata: int | float | list[int] | list[float] | None = nodata
+        self._nodata: int | float | tuple[int] | tuple[float] | None = nodata
         self._indexes = indexes
         self._indexes_loaded: int | tuple[int, ...] | None = None
         self._masked = masked
@@ -1117,7 +1117,7 @@ def is_modified(self) -> bool:
         return self._is_modified
 
     @property
-    def nodata(self) -> int | float | list[int] | list[float] | None:
+    def nodata(self) -> int | float | tuple[int] | tuple[float] | None:
         """
         Get nodata value.
 
@@ -1126,7 +1126,7 @@ def nodata(self) -> int | float | list[int] | list[float] | None:
         return self._nodata
 
     @nodata.setter
-    def nodata(self, new_nodata: int | float | list[int] | list[float] | None) -> None:
+    def nodata(self, new_nodata: int | float | tuple[int] | tuple[float] | None) -> None:
         """
         Set .nodata and update .data by calling set_nodata() with default parameters.
 
@@ -1143,7 +1143,7 @@ def nodata(self, new_nodata: int | float | list[int] | list[float] | None) -> No
         self.set_nodata(nodata=new_nodata)
 
     def set_nodata(
-        self, nodata: int | float | list[int] | list[float] | None, update_array: bool = True, update_mask: bool = True
+        self, nodata: int | float | tuple[int] | tuple[float] | None, update_array: bool = True, update_mask: bool = True
     ) -> None:
         """
         Set a new nodata value for each band. This updates the old nodata into a new nodata value in the metadata,
@@ -1175,10 +1175,10 @@ def set_nodata(
             raise ValueError("Type of nodata not understood, must be list or float or int")
 
         elif (isinstance(nodata, (int, float, np.integer, np.floating))) and self.count > 1:
-            nodata = [nodata] * self.count
+            nodata = (nodata,) * self.count
 
         elif isinstance(nodata, list) and self.count == 1:
-            nodata = list(nodata)[0]
+            nodata = tuple(nodata)[0]
 
         elif nodata is None:
             nodata = None
@@ -1427,7 +1427,7 @@ def info(self, stats: bool = False) -> str:
             else:
                 for b in range(self.count):
                     # try to keep with rasterio convention.
-                    as_str.append(f"Band {b + 1}:")
+                    as_str.append(f"Band {b + 1}:\n")
                     as_str.append(f"[MAXIMUM]:          {np.nanmax(self.data[b, :, :]):.2f}\n")
                     as_str.append(f"[MINIMUM]:          {np.nanmin(self.data[b, :, :]):.2f}\n")
                     as_str.append(f"[MEDIAN]:           {np.ma.median(self.data[b, :, :]):.2f}\n")
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index b77102f37..6f60def0f 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -124,7 +124,7 @@ def test_init(self, example: str) -> None:
         assert np.ma.isMaskedArray(gu.Raster(example, masked=True).data)
         assert np.ma.isMaskedArray(gu.Raster(example, masked=False).data)
 
-    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])  # type: ignore
+    @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])  # type: ignore
     def test_info(self, example: str) -> None:
         """Test that the information summary is consistent with that of rasterio"""
 

From 4ee41e9f85221d48c7e46be3eebeaf86006afd4b Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 7 Mar 2023 22:42:50 -0800
Subject: [PATCH 086/184] Add test for shift

---
 tests/test_georaster.py | 21 +++++++++++++++++++++
 1 file changed, 21 insertions(+)

diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 6f60def0f..79542951f 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -970,6 +970,27 @@ def test_crop(self, data: list[str]) -> None:
         r_cropped3 = r[outlines]
         assert list(r_cropped3.bounds) == list(new_bounds)
 
+    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path, landsat_rgb_path]) # type: ignore
+    def test_shift(self, example: str) -> None:
+        """ Tests shift works as intended"""
+
+        r = gu.Raster(example)
+
+        orig_transform = r.transform
+        orig_bounds = r.bounds
+        r.shift(xoff=1, yoff=1)
+
+        # Only bounds should change
+        assert orig_transform.c + 1 == r.transform.c
+        assert orig_transform.f + 1 == r.transform.f
+        for attr in ["a", "b", "d", "e"]:
+            assert getattr(orig_transform, attr) == getattr(r.transform, attr)
+
+        assert orig_bounds.left + 1 == r.bounds.left
+        assert orig_bounds.right + 1 == r.bounds.right
+        assert orig_bounds.bottom + 1 == r.bounds.bottom
+        assert orig_bounds.top + 1 == r.bounds.top
+
     @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])  # type: ignore
     def test_reproject(self, example: str) -> None:
         warnings.simplefilter("error")

From 9594393425f441efbd57cde622a0281ffc9dbcdb Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 7 Mar 2023 23:12:39 -0800
Subject: [PATCH 087/184] Add tests for diff_env_yml

---
 geoutils/misc.py   | 14 ++++++++++----
 tests/test_misc.py | 19 +++++++++++++++++++
 2 files changed, 29 insertions(+), 4 deletions(-)

diff --git a/geoutils/misc.py b/geoutils/misc.py
index 77fc9db3b..cc0073682 100644
--- a/geoutils/misc.py
+++ b/geoutils/misc.py
@@ -90,21 +90,27 @@ def resampling_method_from_str(method_str: str) -> rio.enums.Resampling:
     return resampling_method
 
 
-def diff_environment_yml(fn_env: str, fn_devenv: str, print_dep: str = "both") -> None:
+def diff_environment_yml(fn_env: str | dict[str, Any], fn_devenv: str | dict[str, Any], print_dep: str = "both",
+                         input_dict: bool = False) -> None:
     """
     Compute the difference between environment.yml and dev-environment.yml for setup of continuous integration,
     while checking that all the dependencies listed in environment.yml are also in dev-environment.yml
     :param fn_env: Filename path to environment.yml
     :param fn_devenv: Filename path to dev-environment.yml
     :param print_dep: Whether to print conda differences "conda", pip differences "pip" or both.
+    :param input_dict: Whether to consider the input as a dict (for testing purposes).
     """
 
     if not _has_yaml:
         raise ValueError("Test dependency needed. Install 'pyyaml'")
 
-    # Load the yml as dictionaries
-    yaml_env = yaml.safe_load(open(fn_env))
-    yaml_devenv = yaml.safe_load(open(fn_devenv))
+    if not input_dict:
+        # Load the yml as dictionaries
+        yaml_env = yaml.safe_load(open(fn_env))
+        yaml_devenv = yaml.safe_load(open(fn_devenv))
+    else:
+        yaml_env = fn_env
+        yaml_devenv = fn_devenv
 
     # Extract the dependencies values
     conda_dep_env = yaml_env["dependencies"]
diff --git a/tests/test_misc.py b/tests/test_misc.py
index 4c3431aa0..1d7d5025c 100644
--- a/tests/test_misc.py
+++ b/tests/test_misc.py
@@ -103,3 +103,22 @@ def useless_func() -> int:
         else:
             with pytest.raises(ValueError, match="^" + text + "$"):
                 useless_func()
+
+    def test_diff_environment_yml(self, capsys) -> None:
+
+        # Test with synthetic environment
+        env = {"dependencies": ["python==3.9", "numpy", "fiona"]}
+        devenv = {"dependencies": ["python==3.9", "numpy", "fiona", "opencv"]}
+
+        # This should print the difference between the two
+        geoutils.misc.diff_environment_yml(env, devenv, input_dict=True, print_dep="conda")
+
+        # Capture the stdout and check it is indeed the right diff
+        captured = capsys.readouterr().out
+        assert captured == "opencv\n"
+
+        # This should print the difference including pip
+        geoutils.misc.diff_environment_yml(env, devenv, input_dict=True, print_dep="both")
+
+        captured = capsys.readouterr().out
+        assert captured == "opencv\nNone\n"

From 3224198db0c86e7d7bfff9067c1f5884feb19035 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 11:45:18 -0800
Subject: [PATCH 088/184] Add test for diff_yml

---
 tests/test_misc.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/tests/test_misc.py b/tests/test_misc.py
index 1d7d5025c..ac6906b23 100644
--- a/tests/test_misc.py
+++ b/tests/test_misc.py
@@ -122,3 +122,11 @@ def test_diff_environment_yml(self, capsys) -> None:
 
         captured = capsys.readouterr().out
         assert captured == "opencv\nNone\n"
+
+        env = {"dependencies": ["python==3.9", "numpy", "fiona"]}
+        devenv = {"dependencies": ["python==3.9", "numpy", "fiona", "opencv", {"pip": ["geoutils"]}]}
+
+        geoutils.misc.diff_environment_yml(env, devenv, input_dict=True, print_dep="both")
+        captured = capsys.readouterr().out
+
+        assert captured == "opencv\ngeoutils\n"

From 3fe5e7aff8b1314ff7cfbdb50e09f4f530b07c99 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 12:08:29 -0800
Subject: [PATCH 089/184] Linting

---
 geoutils/georaster/raster.py | 48 ++++++++++++++++++++----------------
 geoutils/geovector.py        | 38 ++++++++++++++--------------
 geoutils/misc.py             | 10 +++++---
 tests/test_georaster.py      | 20 ++++++++++-----
 tests/test_misc.py           |  8 +++---
 5 files changed, 70 insertions(+), 54 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index c658ae1c6..51794a37f 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -276,7 +276,7 @@ def __init__(
         load_data: bool = False,
         downsample: AnyNumber = 1,
         masked: bool = True,
-        nodata: int | float | list[int] | list[float] | None = None,
+        nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
         attrs: list[str] | None = None,
     ) -> None:
         """
@@ -307,7 +307,7 @@ def __init__(
         self.tags: dict[str, Any] = {}
 
         self._data: np.ma.masked_array | None = None
-        self._nodata: int | float | tuple[int] | tuple[float] | None = nodata
+        self._nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = nodata
         self._indexes = indexes
         self._indexes_loaded: int | tuple[int, ...] | None = None
         self._masked = masked
@@ -557,7 +557,7 @@ def from_array(
         data: np.ndarray | np.ma.masked_array,
         transform: tuple[float, ...] | Affine,
         crs: CRS | int | None,
-        nodata: int | float | list[int] | list[float] | None = None,
+        nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
     ) -> RasterType:
         """Create a Raster from a numpy array and some geo-referencing information.
 
@@ -721,8 +721,8 @@ def __getitem__(self, index: Raster | Vector | np.ndarray | list[float] | tuple[
 
     def __setitem__(self, index: Mask | np.ndarray, assign: np.ndarray | Number) -> None:
         """
-          Index assignment: if a mask of same georeferencing or array of same shape is passed,
-          assign values of the raster array.
+        Index assignment: if a mask of same georeferencing or array of same shape is passed,
+        assign values of the raster array.
         """
 
         # First, check index
@@ -744,7 +744,9 @@ def __setitem__(self, index: Mask | np.ndarray, assign: np.ndarray | Number) ->
                 ind = index
         # Otherwise, raise an error
         else:
-            raise ValueError("Indexing a raster requires a mask of same georeferenced grid, or a boolean array of same shape.")
+            raise ValueError(
+                "Indexing a raster requires a mask of same georeferenced grid, or a boolean array of same shape."
+            )
 
         # Second, assign, NumPy will raise appropriate errors itself
 
@@ -752,11 +754,10 @@ def __setitem__(self, index: Mask | np.ndarray, assign: np.ndarray | Number) ->
         if not self.is_loaded:
             self.load()
         # Assign the values to the index
-        self._data[:, ind] = assign
+        self._data[:, ind] = assign  # type: ignore
 
         return None
 
-
     def raster_equal(self, other: object) -> bool:
         """Check if a Raster masked array's data (including masked values), mask, fill_value and dtype are equal,
         as well as the Raster's nodata, and georeferencing."""
@@ -777,7 +778,9 @@ def raster_equal(self, other: object) -> bool:
 
     def _overloading_check(
         self: RasterType, other: RasterType | np.ndarray | Number
-    ) -> tuple[np.ma.masked_array, np.ma.masked_array | Number, float | int | list[int] | list[float] | None]:
+    ) -> tuple[
+        np.ma.masked_array, np.ma.masked_array | Number, float | int | tuple[int, ...] | tuple[float, ...] | None
+    ]:
         """
         Before any operation overloading, check input data type and return both self and other data as either
         a np.ndarray or number, converted to the minimum compatible dtype between both datasets.
@@ -1117,7 +1120,7 @@ def is_modified(self) -> bool:
         return self._is_modified
 
     @property
-    def nodata(self) -> int | float | tuple[int] | tuple[float] | None:
+    def nodata(self) -> int | float | tuple[int, ...] | tuple[float, ...] | None:
         """
         Get nodata value.
 
@@ -1126,7 +1129,7 @@ def nodata(self) -> int | float | tuple[int] | tuple[float] | None:
         return self._nodata
 
     @nodata.setter
-    def nodata(self, new_nodata: int | float | tuple[int] | tuple[float] | None) -> None:
+    def nodata(self, new_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None) -> None:
         """
         Set .nodata and update .data by calling set_nodata() with default parameters.
 
@@ -1143,7 +1146,10 @@ def nodata(self, new_nodata: int | float | tuple[int] | tuple[float] | None) ->
         self.set_nodata(nodata=new_nodata)
 
     def set_nodata(
-        self, nodata: int | float | tuple[int] | tuple[float] | None, update_array: bool = True, update_mask: bool = True
+        self,
+        nodata: int | float | tuple[int, ...] | tuple[float, ...] | None,
+        update_array: bool = True,
+        update_mask: bool = True,
     ) -> None:
         """
         Set a new nodata value for each band. This updates the old nodata into a new nodata value in the metadata,
@@ -1171,20 +1177,20 @@ def set_nodata(
         :param update_mask: Update the old mask by unmasking old nodata and masking new nodata (if array is updated,
             old nodata are changed to new nodata and thus stay masked)
         """
-        if nodata is not None and not isinstance(nodata, (list, int, float, np.integer, np.floating)):
-            raise ValueError("Type of nodata not understood, must be list or float or int")
+        if nodata is not None and not isinstance(nodata, (tuple, int, float, np.integer, np.floating)):
+            raise ValueError("Type of nodata not understood, must be tuple or float or int")
 
         elif (isinstance(nodata, (int, float, np.integer, np.floating))) and self.count > 1:
             nodata = (nodata,) * self.count
 
-        elif isinstance(nodata, list) and self.count == 1:
-            nodata = tuple(nodata)[0]
+        elif isinstance(nodata, tuple) and self.count == 1:
+            nodata = nodata[0]
 
         elif nodata is None:
             nodata = None
 
         # Check that nodata has same length as number of bands in self
-        if isinstance(nodata, list):
+        if isinstance(nodata, tuple):
             if len(nodata) != self.count:
                 raise ValueError(f"Length of nodata ({len(nodata)}) incompatible with number of bands ({self.count})")
             # Check that nodata value is compatible with dtype
@@ -1742,8 +1748,8 @@ def reproject(
         dst_size: tuple[int, int] | None = None,
         dst_bounds: dict[str, float] | rio.coords.BoundingBox | None = None,
         dst_res: float | abc.Iterable[float] | None = None,
-        dst_nodata: int | float | list[int] | list[float] | None = None,
-        src_nodata: int | float | list[int] | list[float] | None = None,
+        dst_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
+        src_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
         dst_dtype: np.dtype | None = None,
         resampling: Resampling | str = Resampling.bilinear,
         silent: bool = False,
@@ -3084,8 +3090,8 @@ def reproject(
         dst_size: tuple[int, int] | None = None,
         dst_bounds: dict[str, float] | rio.coords.BoundingBox | None = None,
         dst_res: float | abc.Iterable[float] | None = None,
-        dst_nodata: int | float | list[int] | list[float] | None = None,
-        src_nodata: int | float | list[int] | list[float] | None = None,
+        dst_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
+        src_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
         dst_dtype: np.dtype | None = None,
         resampling: Resampling | str = Resampling.bilinear,
         silent: bool = False,
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index 3e6440f34..5899c6763 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -406,29 +406,29 @@ def reproject(
 
     @overload
     def create_mask(
-            self,
-            rst: str | gu.Raster | None = None,
-            crs: CRS | None = None,
-            xres: float | None = None,
-            yres: float | None = None,
-            bounds: tuple[float, float, float, float] | None = None,
-            buffer: int | float | np.number = 0,
-            *,
-            as_array: Literal[False] = False
+        self,
+        rst: str | gu.Raster | None = None,
+        crs: CRS | None = None,
+        xres: float | None = None,
+        yres: float | None = None,
+        bounds: tuple[float, float, float, float] | None = None,
+        buffer: int | float | np.number = 0,
+        *,
+        as_array: Literal[False] = False,
     ) -> gu.Mask:
         ...
 
     @overload
     def create_mask(
-            self,
-            rst: str | gu.Raster | None = None,
-            crs: CRS | None = None,
-            xres: float | None = None,
-            yres: float | None = None,
-            bounds: tuple[float, float, float, float] | None = None,
-            buffer: int | float | np.number = 0,
-            *,
-            as_array: Literal[True]
+        self,
+        rst: str | gu.Raster | None = None,
+        crs: CRS | None = None,
+        xres: float | None = None,
+        yres: float | None = None,
+        bounds: tuple[float, float, float, float] | None = None,
+        buffer: int | float | np.number = 0,
+        *,
+        as_array: Literal[True],
     ) -> np.ndarray:
         ...
 
@@ -440,7 +440,7 @@ def create_mask(
         yres: float | None = None,
         bounds: tuple[float, float, float, float] | None = None,
         buffer: int | float | np.number = 0,
-        as_array: bool = False
+        as_array: bool = False,
     ) -> gu.Mask | np.ndarray:
         """
         Rasterize the vector features into a boolean mask matching the georeferencing of a raster.
diff --git a/geoutils/misc.py b/geoutils/misc.py
index cc0073682..0f367eff3 100644
--- a/geoutils/misc.py
+++ b/geoutils/misc.py
@@ -3,6 +3,7 @@
 
 import functools
 import warnings
+from typing import Any
 
 try:
     import yaml  # type: ignore
@@ -90,8 +91,9 @@ def resampling_method_from_str(method_str: str) -> rio.enums.Resampling:
     return resampling_method
 
 
-def diff_environment_yml(fn_env: str | dict[str, Any], fn_devenv: str | dict[str, Any], print_dep: str = "both",
-                         input_dict: bool = False) -> None:
+def diff_environment_yml(
+    fn_env: str | dict[str, Any], fn_devenv: str | dict[str, Any], print_dep: str = "both", input_dict: bool = False
+) -> None:
     """
     Compute the difference between environment.yml and dev-environment.yml for setup of continuous integration,
     while checking that all the dependencies listed in environment.yml are also in dev-environment.yml
@@ -106,8 +108,8 @@ def diff_environment_yml(fn_env: str | dict[str, Any], fn_devenv: str | dict[str
 
     if not input_dict:
         # Load the yml as dictionaries
-        yaml_env = yaml.safe_load(open(fn_env))
-        yaml_devenv = yaml.safe_load(open(fn_devenv))
+        yaml_env = yaml.safe_load(open(fn_env))  # type: ignore
+        yaml_devenv = yaml.safe_load(open(fn_devenv))  # type: ignore
     else:
         yaml_env = fn_env
         yaml_devenv = fn_devenv
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 79542951f..22b2f1b98 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -714,7 +714,9 @@ def test_masking(self, example: str) -> None:
         mask2 = r2 == np.nanmin(r2)
         r2.set_mask(mask2)
         # Indexing at 0 for the mask in case the data has multiple bands
-        assert (np.count_nonzero(mask2) > 0) & np.array_equal(orig_mask | mask2.data.filled(False).squeeze(), r2.data.mask[0, :, :])
+        assert (np.count_nonzero(mask2) > 0) & np.array_equal(
+            orig_mask | mask2.data.filled(False).squeeze(), r2.data.mask[0, :, :]
+        )
         # The two last masking (array or Mask) should yield the same result when the data is only 2D
         if r.count == 1:
             assert np.array_equal(r.data.mask, r2.data.mask)
@@ -772,7 +774,7 @@ def test_getitem_setitem(self, example: str) -> None:
         rst2 = rst.copy()
 
         # It should work with a number, or a 1D array of the same length as the indexed one
-        rst[mask] = 1.
+        rst[mask] = 1.0
         rst2[arr] = np.ones(rst2.shape)[arr]
 
         # The rasters should be the same
@@ -789,15 +791,21 @@ def test_getitem_setitem(self, example: str) -> None:
             rst[arr.astype("uint8")] = 1
         # An error when the georeferencing of the Mask does not match
         mask.shift(1, 1)
-        with pytest.raises(ValueError, match="Indexing a raster with a mask requires the two being on the same georeferenced grid."):
+        with pytest.raises(
+            ValueError, match="Indexing a raster with a mask requires the two being on the same georeferenced grid."
+        ):
             rst[mask]
             rst[mask] = 1
         # For assignment, an error when the input index is neither a Mask or a boolean ndarray
         # (indexing attempts to call crop for differently shaped data)
-        with pytest.raises(ValueError, match="Indexing a raster requires a mask of same georeferenced grid, or a boolean array of same shape."):
+        with pytest.raises(
+            ValueError,
+            match="Indexing a raster requires a mask of same georeferenced grid, or a boolean array of same shape.",
+        ):
             rst["lol"] = 1
 
     test_data = [[landsat_b4_path, everest_outlines_path], [aster_dem_path, aster_outlines_path]]
+
     @pytest.mark.parametrize("data", test_data)  # type: ignore
     def test_crop(self, data: list[str]) -> None:
         """Test for crop method, also called by square brackets through __getitem__"""
@@ -970,9 +978,9 @@ def test_crop(self, data: list[str]) -> None:
         r_cropped3 = r[outlines]
         assert list(r_cropped3.bounds) == list(new_bounds)
 
-    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path, landsat_rgb_path]) # type: ignore
+    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path, landsat_rgb_path])  # type: ignore
     def test_shift(self, example: str) -> None:
-        """ Tests shift works as intended"""
+        """Tests shift works as intended"""
 
         r = gu.Raster(example)
 
diff --git a/tests/test_misc.py b/tests/test_misc.py
index ac6906b23..0e701c733 100644
--- a/tests/test_misc.py
+++ b/tests/test_misc.py
@@ -104,7 +104,7 @@ def useless_func() -> int:
             with pytest.raises(ValueError, match="^" + text + "$"):
                 useless_func()
 
-    def test_diff_environment_yml(self, capsys) -> None:
+    def test_diff_environment_yml(self, capsys) -> None:  # type: ignore
 
         # Test with synthetic environment
         env = {"dependencies": ["python==3.9", "numpy", "fiona"]}
@@ -123,10 +123,10 @@ def test_diff_environment_yml(self, capsys) -> None:
         captured = capsys.readouterr().out
         assert captured == "opencv\nNone\n"
 
-        env = {"dependencies": ["python==3.9", "numpy", "fiona"]}
-        devenv = {"dependencies": ["python==3.9", "numpy", "fiona", "opencv", {"pip": ["geoutils"]}]}
+        env2 = {"dependencies": ["python==3.9", "numpy", "fiona"]}
+        devenv2 = {"dependencies": ["python==3.9", "numpy", "fiona", "opencv", {"pip": ["geoutils"]}]}
 
-        geoutils.misc.diff_environment_yml(env, devenv, input_dict=True, print_dep="both")
+        geoutils.misc.diff_environment_yml(env2, devenv2, input_dict=True, print_dep="both")
         captured = capsys.readouterr().out
 
         assert captured == "opencv\ngeoutils\n"

From 3611461c92fdb357da349d7bade167de0f6983ac Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 13:05:03 -0800
Subject: [PATCH 090/184] Refactor crop_geom to remove camel-case, add
 geovector tests on missing coverage

---
 .../handling/georeferencing/crop_vector.py    |  2 +-
 geoutils/georaster/raster.py                  | 12 ++--
 geoutils/geovector.py                         | 44 ++++++-------
 tests/test_georaster.py                       |  2 +-
 tests/test_geovector.py                       | 62 +++++++++++++++++--
 5 files changed, 84 insertions(+), 38 deletions(-)

diff --git a/examples/handling/georeferencing/crop_vector.py b/examples/handling/georeferencing/crop_vector.py
index fd3cf2290..9340f9525 100644
--- a/examples/handling/georeferencing/crop_vector.py
+++ b/examples/handling/georeferencing/crop_vector.py
@@ -44,7 +44,7 @@
 # simple :class:`tuple` of bounds.
 
 bounds = rast.get_bounds_projected(out_crs=vect.crs)
-vect.crop(cropGeom=(bounds.left + 0.5 * (bounds.right - bounds.left), bounds.bottom, bounds.right, bounds.top))
+vect.crop(crop_geom=(bounds.left + 0.5 * (bounds.right - bounds.left), bounds.bottom, bounds.right, bounds.top))
 
 rast.show(ax="new", cmap="Greys_r", alpha=0.7)
 vect.show(ref_crs=rast, fc="none", ec="tab:purple", lw=3)
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 51794a37f..ad4e19491 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -717,7 +717,7 @@ def __getitem__(self, index: Raster | Vector | np.ndarray | list[float] | tuple[
 
         # Otherwise, subset with crop
         else:
-            return self.crop(cropGeom=index, inplace=False)
+            return self.crop(crop_geom=index, inplace=False)
 
     def __setitem__(self, index: Mask | np.ndarray, assign: np.ndarray | Number) -> None:
         """
@@ -1646,7 +1646,7 @@ def __array_function__(
     @overload
     def crop(
         self: RasterType,
-        cropGeom: RasterType | Vector | list[float] | tuple[float, ...],
+        crop_geom: RasterType | Vector | list[float] | tuple[float, ...],
         mode: Literal["match_pixel"] | Literal["match_extent"] = "match_pixel",
         *,
         inplace: Literal[True],
@@ -3159,7 +3159,7 @@ def crop(
 
     def crop(
         self: Mask,
-        cropGeom: Mask | Vector | list[float] | tuple[float, ...],
+        crop_geom: Mask | Vector | list[float] | tuple[float, ...],
         mode: Literal["match_pixel"] | Literal["match_extent"] = "match_pixel",
         inplace: bool = True,
     ) -> Mask | None:
@@ -3168,17 +3168,17 @@ def crop(
         if mode == "match_extent":
             self.data = self.data.astype("float32")
             if inplace:
-                super().crop(cropGeom=cropGeom, mode=mode, inplace=inplace)
+                super().crop(crop_geom=crop_geom, mode=mode, inplace=inplace)
                 self.data = self.data.astype(bool)
                 return None
             else:
-                output = super().crop(cropGeom=cropGeom, mode=mode, inplace=inplace)
+                output = super().crop(crop_geom=crop_geom, mode=mode, inplace=inplace)
                 output.data = output.data.astype(bool)
                 return output
         # Otherwise, run a classic crop
         else:
             if not inplace:
-                return super().crop(cropGeom=cropGeom, mode=mode, inplace=inplace)
+                return super().crop(crop_geom=crop_geom, mode=mode, inplace=inplace)
             else:
                 return None
 
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index 5899c6763..420cc4515 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -56,7 +56,7 @@ def __init__(self, filename: str | pathlib.Path | gpd.GeoDataFrame):
             self._ds = filename
             self._name = None
         else:
-            raise ValueError("filename argument not recognised.")
+            raise TypeError("Filename argument should be a string, Path or geopandas.GeoDataFrame.")
 
         self._crs = self.ds.crs
 
@@ -110,7 +110,7 @@ def __str__(self) -> str:
     def __getitem__(self, value: gu.Raster | Vector | list[float] | tuple[float, ...]) -> Vector:
         """Subset the Raster object: calls the crop method with default parameters"""
 
-        return self.crop(cropGeom=value, clip=False, inplace=False)
+        return self.crop(crop_geom=value, clip=False, inplace=False)
 
     def info(self) -> str:
         """
@@ -310,7 +310,7 @@ def crop(
 
     def crop(
         self: VectorType,
-        cropGeom: gu.Raster | Vector | list[float] | tuple[float, ...],
+        crop_geom: gu.Raster | Vector | list[float] | tuple[float, ...],
         clip: bool = False,
         inplace: bool = True,
     ) -> VectorType | None:
@@ -320,20 +320,20 @@ def crop(
 
         Reprojection is done on the fly if georeferenced objects have different projections.
 
-        :param cropGeom: Geometry to crop vector to, as either a Raster object, a Vector object, or a list of
+        :param crop_geom: Geometry to crop vector to, as either a Raster object, a Vector object, or a list of
             coordinates. If cropGeom is a Raster, crop() will crop to the boundary of the raster as returned by
             Raster.ds.bounds. If cropGeom is a Vector, crop() will crop to the bounding geometry. If cropGeom is a
             list of coordinates, the order is assumed to be [xmin, ymin, xmax, ymax].
         :param clip: Whether to clip the geometry to the given extent (by default keeps all intersecting).
         :param inplace: Update the vector inplace or return copy.
         """
-        if isinstance(cropGeom, (gu.Raster, Vector)):
+        if isinstance(crop_geom, (gu.Raster, Vector)):
             # For another Vector or Raster, we reproject the bounding box in the same CRS as self
-            xmin, ymin, xmax, ymax = cropGeom.get_bounds_projected(out_crs=self.crs)
-        elif isinstance(cropGeom, (list, tuple)):
-            xmin, ymin, xmax, ymax = cropGeom
+            xmin, ymin, xmax, ymax = crop_geom.get_bounds_projected(out_crs=self.crs)
+        elif isinstance(crop_geom, (list, tuple)):
+            xmin, ymin, xmax, ymax = crop_geom
         else:
-            raise ValueError("cropGeom must be a Raster, Vector, or list of coordinates.")
+            raise TypeError("Crop geometry must be a Raster, Vector, or list of coordinates.")
 
         # Need to separate the two options, inplace update
         if inplace:
@@ -434,7 +434,7 @@ def create_mask(
 
     def create_mask(
         self,
-        rst: str | gu.Raster | None = None,
+        rst: gu.Raster | None = None,
         crs: CRS | None = None,
         xres: float | None = None,
         yres: float | None = None,
@@ -450,7 +450,7 @@ def create_mask(
 
         Vector features which fall outside the bounds of the raster file are not written to the new mask file.
 
-        :param rst: A Raster object or string to filename
+        :param rst: A raster
         :param crs: A pyproj or rasterio CRS object (Default to rst.crs if not None then self.crs)
         :param xres: Output raster spatial resolution in x. Only is rst is None.
         :param yres: Output raster spatial resolution in y. Only if rst is None. (Default to xres)
@@ -461,16 +461,13 @@ def create_mask(
 
         :returns: A Mask object contain a boolean array
         """
-        # If input rst is string, open as Raster
-        if isinstance(rst, str):
-            rst = gu.Raster(rst)  # type: ignore
 
         # If no rst given, use provided dimensions
         if rst is None:
 
             # At minimum, xres must be set
             if xres is None:
-                raise ValueError("at least rst or xres must be set")
+                raise ValueError("At least rst or xres must be set.")
             if yres is None:
                 yres = xres
 
@@ -491,7 +488,7 @@ def create_mask(
             if width % 1 != 0 or height % 1 != 0:
                 # Only warn if the bounds were provided, and not derived from the vector
                 if not bounds_shp:
-                    warnings.warn("Bounds not a multiple of xres/yres, use rounded bounds")
+                    warnings.warn("Bounds not a multiple of xres/yres, use rounded bounds.")
 
             width = int(np.round(width))
             height = int(np.round(height))
@@ -507,7 +504,7 @@ def create_mask(
             crs = rst.crs
             bounds = rst.bounds
         else:
-            raise ValueError("`rst` must be either a str, geoutils.Raster or None")
+            raise TypeError("Raster must be a geoutils.Raster or None.")
 
         # Copying GeoPandas dataframe before applying changes
         gdf = self.ds.copy()
@@ -522,7 +519,7 @@ def create_mask(
 
         # Create a buffer around the features
         if not isinstance(buffer, (int, float, np.number)):
-            raise ValueError(f"`buffer` must be a number, currently set to {type(buffer)}")
+            raise TypeError("Buffer must be a number, currently set to {}.".format(type(buffer).__name__))
         if buffer != 0:
             gdf.geometry = [geom.buffer(buffer) for geom in gdf.geometry]
         elif buffer == 0:
@@ -545,8 +542,8 @@ def create_mask(
 
     def rasterize(
         self,
-        rst: str | gu.Raster | None = None,
-        crs: CRS | None = None,
+        rst: gu.Raster | None = None,
+        crs: CRS | int | None = None,
         xres: float | None = None,
         yres: float | None = None,
         bounds: tuple[float, float, float, float] | None = None,
@@ -576,9 +573,6 @@ def rasterize(
 
         :returns: Raster or mask containing the burned geometries
         """
-        # If input rst is string, open as Raster
-        if isinstance(rst, str):
-            rst = gu.Raster(rst)  # type: ignore
 
         if (rst is not None) and (crs is not None):
             raise ValueError("Only one of rst or crs can be provided.")
@@ -598,7 +592,7 @@ def rasterize(
 
             # At minimum, xres must be set
             if xres is None:
-                raise ValueError("at least rst or xres must be set")
+                raise ValueError("At least rst or xres must be set.")
             if yres is None:
                 yres = xres
 
@@ -612,7 +606,7 @@ def rasterize(
             height = abs((top - bottom) / yres)
 
             if width % 1 != 0 or height % 1 != 0:
-                warnings.warn("Bounds not a multiple of xres/yres, use rounded bounds")
+                warnings.warn("Bounds not a multiple of xres/yres, use rounded bounds.")
 
             width = int(np.round(width))
             height = int(np.round(height))
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 22b2f1b98..977d8ec37 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -881,7 +881,7 @@ def test_crop(self, data: list[str]) -> None:
         r_cropped3 = r.crop(r_cropped_reproj, inplace=False)
 
         # Original CRS bounds can be deformed during transformation, but result should be equivalent to this
-        r_cropped4 = r.crop(cropGeom=r_cropped_reproj.get_bounds_projected(out_crs=r.crs), inplace=False)
+        r_cropped4 = r.crop(crop_geom=r_cropped_reproj.get_bounds_projected(out_crs=r.crs), inplace=False)
         assert r_cropped3.raster_equal(r_cropped4)
 
         # Check with bracket call
diff --git a/tests/test_geovector.py b/tests/test_geovector.py
index ad629196b..6ddc10306 100644
--- a/tests/test_geovector.py
+++ b/tests/test_geovector.py
@@ -7,6 +7,7 @@
 import numpy as np
 import pytest
 from geopandas.testing import assert_geodataframe_equal
+import matplotlib.pyplot as plt
 from scipy.ndimage import binary_erosion
 from shapely.geometry.linestring import LineString
 from shapely.geometry.multilinestring import MultiLineString
@@ -46,6 +47,10 @@ def test_init(self) -> None:
         v2 = gu.Vector(gpd.read_file(self.aster_outlines_path))
         assert isinstance(v2, gu.Vector)
 
+        # Check errors are raised when filename has wrong type
+        with pytest.raises(TypeError, match="Filename argument should be a string, Path or geopandas.GeoDataFrame."):
+            gu.Vector(1) # type: ignore
+
     def test_copy(self) -> None:
 
         vector2 = self.glacier_outlines.copy()
@@ -129,16 +134,38 @@ def test_rasterize_proj(self) -> None:
 
     def test_rasterize_unproj(self) -> None:
         """Test rasterizing an EPSG:3426 dataset into a projection."""
-        v = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
-        # Use Web Mercator at 30 m.
 
+        vct = gu.Vector(self.everest_outlines_path)
+        rst = gu.Raster(self.landsat_b4_crop_path)
+
+        # Use Web Mercator at 30 m.
         # Capture the warning on resolution not matching exactly bounds
         with pytest.warns(UserWarning):
-            burned = v.rasterize(xres=30, crs=3857)
+            burned = vct.rasterize(xres=30, crs=3857)
 
         assert burned.shape[0] == 1251
         assert burned.shape[1] == 1522
 
+        # Typically, rasterize returns a raster
+        burned_in2_out1 = vct.rasterize(rst=rst, in_value=2, out_value=1)
+        assert isinstance(burned_in2_out1, gu.Raster)
+
+        # For an in_value of 1 and out_value of 0 (default), it returns a mask
+        burned_mask = vct.rasterize(rst=rst, in_value=1)
+        assert isinstance(burned_mask, gu.Mask)
+
+        # Check that rasterizing with in_value=1 is the same as creating a mask
+        assert burned_mask.raster_equal(vct.create_mask(rst=rst))
+
+        # The two rasterization should match
+        assert np.all(burned_in2_out1[burned_mask] == 2)
+        assert np.all(burned_in2_out1[~burned_mask] == 1)
+
+        # Check that errors are raised
+        with pytest.raises(ValueError, match="Only one of rst or crs can be provided."):
+            vct.rasterize(rst=rst, crs=3857)
+
+
     test_data = [[landsat_b4_crop_path, everest_outlines_path], [aster_dem_path, aster_outlines_path]]
 
     @pytest.mark.parametrize("data", test_data)  # type: ignore
@@ -155,7 +182,12 @@ def test_crop(self, data: list[str]) -> None:
 
         # Crop
         outlines_new = outlines.copy()
-        outlines_new.crop(rst)
+        outlines_new.crop(crop_geom=rst)
+
+        # Crop by passing bounds
+        outlines_new_bounds = outlines.copy()
+        outlines_new_bounds.crop(crop_geom=list(rst.bounds))
+        assert_geodataframe_equal(outlines_new.ds, outlines_new_bounds.ds)
 
         # Check with bracket call
         outlines_new2 = outlines_new[rst]
@@ -179,6 +211,10 @@ def test_crop(self, data: list[str]) -> None:
         # Check that some features were indeed removed
         assert np.sum(~np.array(intersects_old)) > 0
 
+        # Check that error is raised when cropGeom argument is unvalid
+        with pytest.raises(TypeError, match="Crop geometry must be a Raster, Vector, or list of coordinates."):
+            outlines.crop(1) # type: ignore
+
     def test_proximity(self) -> None:
         """
         The core functionality is already tested against GDAL in test_raster: just verify the vector-specific behaviour.
@@ -302,6 +338,18 @@ def test_create_mask(self) -> None:
         # Check that by default, create_mask returns a Mask
         assert isinstance(mask, gu.Mask)
 
+        # Check that an error is raised if xres is not passed
+        with pytest.raises(ValueError, match="At least rst or xres must be set."):
+            vector.create_mask()
+
+        # Check that an error is raised if buffer is the wrong type
+        with pytest.raises(TypeError, match="Buffer must be a number, currently set to str."):
+            vector.create_mask(rst, buffer="lol") # type: ignore
+
+        # If the raster has the wrong type
+        with pytest.raises(TypeError, match="Raster must be a geoutils.Raster or None."):
+            vector.create_mask("lol") # type: ignore
+
         # Check that a warning is raised if the bounds were passed specifically by the user
         with pytest.warns(UserWarning):
             vector.create_mask(xres=1.01, bounds=(0, 0, 21, 21))
@@ -415,7 +463,7 @@ def test_buffer_metric(self) -> None:
         # And this time, it is the reprojected GeoDataFrame that should almost match (within a tolerance of 10e-06)
         assert all(direct_gpd_buffer.ds.geom_almost_equals(two_squares_geographic_buffered_reproj.ds))
 
-    def test_buffer_without_overlap(self) -> None:
+    def test_buffer_without_overlap(self, monkeypatch) -> None:
         """
         Check that non-overlapping buffer feature works. Does not work on simple geometries, so test on MultiPolygon.
         Yet, very simple geometries yield unexpected results, as is the case for the second test case here.
@@ -478,3 +526,7 @@ def test_buffer_without_overlap(self) -> None:
         mask_buffer = two_squares.create_mask(xres=0.1, bounds=(0, 0, 21, 21), buffer=buffer_size)
         mask_nobuffer = two_squares.create_mask(xres=0.1, bounds=(0, 0, 21, 21))
         assert np.all(mask_nobuffer | mask_nonoverlap == mask_buffer)
+
+        # Check that plotting runs without errors and close it
+        monkeypatch.setattr(plt, 'show', lambda: None)
+        two_squares.buffer_without_overlap(buffer_size, plot=True)

From 9a61aab5bb00f33b00a26b35e18fcffe25e3b170 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 14:15:23 -0800
Subject: [PATCH 091/184] Fix cropGeom refactoring

---
 geoutils/georaster/raster.py | 16 +++----
 tests/test_georaster.py      | 84 ++++++++++++++++++------------------
 2 files changed, 50 insertions(+), 50 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index ad4e19491..bc7baf688 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -1656,7 +1656,7 @@ def crop(
     @overload
     def crop(
         self: RasterType,
-        cropGeom: RasterType | Vector | list[float] | tuple[float, ...],
+        crop_geom: RasterType | Vector | list[float] | tuple[float, ...],
         mode: Literal["match_pixel"] | Literal["match_extent"] = "match_pixel",
         *,
         inplace: Literal[False],
@@ -1666,7 +1666,7 @@ def crop(
     @overload
     def crop(
         self: RasterType,
-        cropGeom: RasterType | Vector | list[float] | tuple[float, ...],
+        crop_geom: RasterType | Vector | list[float] | tuple[float, ...],
         mode: Literal["match_pixel"] | Literal["match_extent"] = "match_pixel",
         inplace: bool = True,
     ) -> RasterType | None:
@@ -1674,7 +1674,7 @@ def crop(
 
     def crop(
         self: RasterType,
-        cropGeom: RasterType | Vector | list[float] | tuple[float, ...],
+        crop_geom: RasterType | Vector | list[float] | tuple[float, ...],
         mode: Literal["match_pixel"] | Literal["match_extent"] = "match_pixel",
         inplace: bool = True,
     ) -> RasterType | None:
@@ -1683,7 +1683,7 @@ def crop(
 
         Reprojection is done on the fly if georeferenced objects have different projections.
 
-        :param cropGeom: Geometry to crop raster to, as either a Raster object, a Vector object, or a list of
+        :param crop_geom: Geometry to crop raster to, as either a Raster object, a Vector object, or a list of
             coordinates. If cropGeom is a Raster, crop() will crop to the boundary of the raster as returned by
             Raster.ds.bounds. If cropGeom is a Vector, crop() will crop to the bounding geometry. If cropGeom is a
             list of coordinates, the order is assumed to be [xmin, ymin, xmax, ymax].
@@ -1699,11 +1699,11 @@ def crop(
             "match_pixel",
         ], "mode must be one of 'match_pixel', 'match_extent'"
 
-        if isinstance(cropGeom, (Raster, Vector)):
+        if isinstance(crop_geom, (Raster, Vector)):
             # For another Vector or Raster, we reproject the bounding box in the same CRS as self
-            xmin, ymin, xmax, ymax = cropGeom.get_bounds_projected(out_crs=self.crs)
-        elif isinstance(cropGeom, (list, tuple)):
-            xmin, ymin, xmax, ymax = cropGeom
+            xmin, ymin, xmax, ymax = crop_geom.get_bounds_projected(out_crs=self.crs)
+        elif isinstance(crop_geom, (list, tuple)):
+            xmin, ymin, xmax, ymax = crop_geom
         else:
             raise ValueError("cropGeom must be a Raster, Vector, or list of coordinates.")
 
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 977d8ec37..37a6b4f6d 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -813,62 +813,62 @@ def test_crop(self, data: list[str]) -> None:
         raster_path, outlines_path = data
         r = gu.Raster(raster_path)
 
-        # -- Test with cropGeom being a list/tuple -- ##
-        cropGeom: list[float] = list(r.bounds)
+        # -- Test with crop_geom being a list/tuple -- ##
+        crop_geom: list[float] = list(r.bounds)
 
         # Test with same bounds -> should be the same #
-        cropGeom2 = [cropGeom[0], cropGeom[1], cropGeom[2], cropGeom[3]]
-        r_cropped = r.crop(cropGeom2, inplace=False)
+        crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2], crop_geom[3]]
+        r_cropped = r.crop(crop_geom2, inplace=False)
         assert r_cropped.raster_equal(r)
 
         # Test with bracket call
-        r_cropped_getitem = r[cropGeom2]
+        r_cropped_getitem = r[crop_geom2]
         assert r_cropped_getitem.raster_equal(r_cropped)
 
         # - Test cropping each side by a random integer of pixels - #
         rand_int = np.random.randint(1, min(r.shape) - 1)
 
         # Left
-        cropGeom2 = [cropGeom[0] + rand_int * r.res[0], cropGeom[1], cropGeom[2], cropGeom[3]]
-        r_cropped = r.crop(cropGeom2, inplace=False)
-        assert list(r_cropped.bounds) == cropGeom2
+        crop_geom2 = [crop_geom[0] + rand_int * r.res[0], crop_geom[1], crop_geom[2], crop_geom[3]]
+        r_cropped = r.crop(crop_geom2, inplace=False)
+        assert list(r_cropped.bounds) == crop_geom2
         assert np.array_equal(r.data[:, :, rand_int:].data, r_cropped.data.data, equal_nan=True)
         assert np.array_equal(r.data[:, :, rand_int:].mask, r_cropped.data.mask)
 
         # Right
-        cropGeom2 = [cropGeom[0], cropGeom[1], cropGeom[2] - rand_int * r.res[0], cropGeom[3]]
-        r_cropped = r.crop(cropGeom2, inplace=False)
-        assert list(r_cropped.bounds) == cropGeom2
+        crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2] - rand_int * r.res[0], crop_geom[3]]
+        r_cropped = r.crop(crop_geom2, inplace=False)
+        assert list(r_cropped.bounds) == crop_geom2
         assert np.array_equal(r.data[:, :, :-rand_int].data, r_cropped.data.data, equal_nan=True)
         assert np.array_equal(r.data[:, :, :-rand_int].mask, r_cropped.data.mask)
 
         # Bottom
-        cropGeom2 = [cropGeom[0], cropGeom[1] + rand_int * abs(r.res[1]), cropGeom[2], cropGeom[3]]
-        r_cropped = r.crop(cropGeom2, inplace=False)
-        assert list(r_cropped.bounds) == cropGeom2
+        crop_geom2 = [crop_geom[0], crop_geom[1] + rand_int * abs(r.res[1]), crop_geom[2], crop_geom[3]]
+        r_cropped = r.crop(crop_geom2, inplace=False)
+        assert list(r_cropped.bounds) == crop_geom2
         assert np.array_equal(r.data[:, :-rand_int, :].data, r_cropped.data.data, equal_nan=True)
         assert np.array_equal(r.data[:, :-rand_int, :].mask, r_cropped.data.mask)
 
         # Top
-        cropGeom2 = [cropGeom[0], cropGeom[1], cropGeom[2], cropGeom[3] - rand_int * abs(r.res[1])]
-        r_cropped = r.crop(cropGeom2, inplace=False)
-        assert list(r_cropped.bounds) == cropGeom2
+        crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2], crop_geom[3] - rand_int * abs(r.res[1])]
+        r_cropped = r.crop(crop_geom2, inplace=False)
+        assert list(r_cropped.bounds) == crop_geom2
         assert np.array_equal(r.data[:, rand_int:, :].data, r_cropped.data, equal_nan=True)
         assert np.array_equal(r.data[:, rand_int:, :].mask, r_cropped.data.mask)
 
         # Same but tuple
-        cropGeom3: tuple[float, float, float, float] = (
-            cropGeom[0],
-            cropGeom[1],
-            cropGeom[2],
-            cropGeom[3] - rand_int * r.res[0],
+        crop_geom3: tuple[float, float, float, float] = (
+            crop_geom[0],
+            crop_geom[1],
+            crop_geom[2],
+            crop_geom[3] - rand_int * r.res[0],
         )
-        r_cropped = r.crop(cropGeom3, inplace=False)
-        assert list(r_cropped.bounds) == list(cropGeom3)
+        r_cropped = r.crop(crop_geom3, inplace=False)
+        assert list(r_cropped.bounds) == list(crop_geom3)
         assert np.array_equal(r.data[:, rand_int:, :].data, r_cropped.data.data, equal_nan=True)
         assert np.array_equal(r.data[:, rand_int:, :].mask, r_cropped.data.mask)
 
-        # -- Test with CropGeom being a Raster -- #
+        # -- Test with crop_geom being a Raster -- #
         r_cropped2 = r.crop(r_cropped, inplace=False)
         assert r_cropped2.raster_equal(r_cropped)
 
@@ -897,29 +897,29 @@ def test_crop(self, data: list[str]) -> None:
         rand_float = np.random.randint(1, min(r.shape) - 1) + 0.25
 
         # left
-        cropGeom2 = [cropGeom[0] + rand_float * r.res[0], cropGeom[1], cropGeom[2], cropGeom[3]]
-        r_cropped = r.crop(cropGeom2, inplace=False)
+        crop_geom2 = [crop_geom[0] + rand_float * r.res[0], crop_geom[1], crop_geom[2], crop_geom[3]]
+        r_cropped = r.crop(crop_geom2, inplace=False)
         assert r.shape[1] - (r_cropped.bounds.right - r_cropped.bounds.left) / r.res[0] == int(rand_float)
         assert np.array_equal(r.data[:, :, int(rand_float) :].data, r_cropped.data.data, equal_nan=True)
         assert np.array_equal(r.data[:, :, int(rand_float) :].mask, r_cropped.data.mask)
 
         # right
-        cropGeom2 = [cropGeom[0], cropGeom[1], cropGeom[2] - rand_float * r.res[0], cropGeom[3]]
-        r_cropped = r.crop(cropGeom2, inplace=False)
+        crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2] - rand_float * r.res[0], crop_geom[3]]
+        r_cropped = r.crop(crop_geom2, inplace=False)
         assert r.shape[1] - (r_cropped.bounds.right - r_cropped.bounds.left) / r.res[0] == int(rand_float)
         assert np.array_equal(r.data[:, :, : -int(rand_float)].data, r_cropped.data.data, equal_nan=True)
         assert np.array_equal(r.data[:, :, : -int(rand_float)].mask, r_cropped.data.mask)
 
         # bottom
-        cropGeom2 = [cropGeom[0], cropGeom[1] + rand_float * abs(r.res[1]), cropGeom[2], cropGeom[3]]
-        r_cropped = r.crop(cropGeom2, inplace=False)
+        crop_geom2 = [crop_geom[0], crop_geom[1] + rand_float * abs(r.res[1]), crop_geom[2], crop_geom[3]]
+        r_cropped = r.crop(crop_geom2, inplace=False)
         assert r.shape[0] - (r_cropped.bounds.top - r_cropped.bounds.bottom) / r.res[1] == int(rand_float)
         assert np.array_equal(r.data[:, : -int(rand_float), :].data, r_cropped.data.data, equal_nan=True)
         assert np.array_equal(r.data[:, : -int(rand_float), :].mask, r_cropped.data.mask)
 
         # top
-        cropGeom2 = [cropGeom[0], cropGeom[1], cropGeom[2], cropGeom[3] - rand_float * abs(r.res[1])]
-        r_cropped = r.crop(cropGeom2, inplace=False)
+        crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2], crop_geom[3] - rand_float * abs(r.res[1])]
+        r_cropped = r.crop(crop_geom2, inplace=False)
         assert r.shape[0] - (r_cropped.bounds.top - r_cropped.bounds.bottom) / r.res[1] == int(rand_float)
         assert np.array_equal(r.data[:, int(rand_float) :, :].data, r_cropped.data.data, equal_nan=True)
         assert np.array_equal(r.data[:, int(rand_float) :, :].mask, r_cropped.data.mask)
@@ -928,11 +928,11 @@ def test_crop(self, data: list[str]) -> None:
         # Test all sides at once, with rand_float less than half the smallest extent
         # The cropped extent should exactly match the requested extent, res will be changed accordingly
         rand_float = np.random.randint(1, min(r.shape) / 2 - 1) + 0.25
-        cropGeom2 = [
-            cropGeom[0] + rand_float * r.res[0],
-            cropGeom[1] + rand_float * abs(r.res[1]),
-            cropGeom[2] - rand_float * r.res[0],
-            cropGeom[3] - rand_float * abs(r.res[1]),
+        crop_geom2 = [
+            crop_geom[0] + rand_float * r.res[0],
+            crop_geom[1] + rand_float * abs(r.res[1]),
+            crop_geom[2] - rand_float * r.res[0],
+            crop_geom[3] - rand_float * abs(r.res[1]),
         ]
 
         # Filter warning about dst_nodata not set in reprojection (because match_extent triggers reproject)
@@ -940,9 +940,9 @@ def test_crop(self, data: list[str]) -> None:
             warnings.filterwarnings(
                 "ignore", category=UserWarning, message="For reprojection, dst_nodata must be set.*"
             )
-            r_cropped = r.crop(cropGeom2, inplace=False, mode="match_extent")
+            r_cropped = r.crop(crop_geom2, inplace=False, mode="match_extent")
 
-        assert list(r_cropped.bounds) == cropGeom2
+        assert list(r_cropped.bounds) == crop_geom2
         # The change in resolution should be less than what would occur with +/- 1 pixel
         assert np.all(
             abs(np.array(r.res) - np.array(r_cropped.res)) < np.array(r.res) / np.array(r_cropped.shape)[::-1]
@@ -956,7 +956,7 @@ def test_crop(self, data: list[str]) -> None:
             r_cropped2 = r.crop(r_cropped, inplace=False, mode="match_extent")
         assert r_cropped2.raster_equal(r_cropped)
 
-        # -- Test with CropGeom being a Vector -- #
+        # -- Test with crop_geom being a Vector -- #
         outlines = gu.Vector(outlines_path)
 
         # First, we reproject manually the outline
@@ -1824,7 +1824,7 @@ def test_set_nodata(self, example: str) -> None:
         # -- Fifth, let's check that errors are raised when they should --
 
         # A ValueError if input nodata is neither a list, tuple, integer, floating
-        with pytest.raises(ValueError, match="Type of nodata not understood, must be list or float or int"):
+        with pytest.raises(ValueError, match="Type of nodata not understood, must be tuple or float or int"):
             r.set_nodata(nodata="this_should_not_work")  # type: ignore
 
         # A ValueError if nodata value is incompatible with dtype

From 62f3430c9ff7249b81597583910de99c2a3d41a5 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 15:06:17 -0800
Subject: [PATCH 092/184] Streamline main description of functions in raster

---
 geoutils/georaster/raster.py | 307 ++++++++++++++++-------------------
 tests/test_georaster.py      |   6 +-
 2 files changed, 147 insertions(+), 166 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index bc7baf688..e9d9c4305 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -224,44 +224,20 @@ def _load_rio(
 
 class Raster:
     """
-    Create a Raster object from a rasterio-supported raster dataset.
-
-    If not otherwise specified below, attribute types and contents correspond
-    to the attributes defined by rasterio.
-
-    Attributes:
-        filename_or_dataset : str
-            The path/filename of the loaded, file, only set if a disk-based file is read in.
-        data : np.array
-            Loaded image. Dimensions correspond to (count, height, width).
-        count_loaded : int
-            Number of bands loaded into .data
-        indexes_loaded : tuple
-            The indexes of the bands of the opened dataset loaded into .data.
-        is_loaded : bool
-            True if the image data have been loaded into this Raster.
-
-        bounds
-
-        crs
-
-        driver
-
-        dtypes
-
-        height
-
-        name
-
-        nodata
-
-        res
-
-        shape
-
-        transform
-
-        width
+    The georeferenced raster.
+
+    Main attributes:
+        data: :class:`np.ndarray`
+            Data array of the raster, with dimensions corresponding to (count, height, width).
+        transform: :class:`affine.Affine`
+            Geotransform of the raster.
+        crs: :class:`pyproj.crs.CRS`
+            Coordinate reference system of the raster.
+        nodata: :class:`int` or :class:`float`
+            Nodata value of the raster.
+
+    All other attributes are derivatives of those attributes, or read from the file on disk.
+    See the API for more details.
     """
 
     def __init__(
@@ -280,19 +256,19 @@ def __init__(
         attrs: list[str] | None = None,
     ) -> None:
         """
-        Load a rasterio-supported dataset, given a filename.
+        Instantiate a raster from a filename or rasterio dataset.
 
-        :param filename_or_dataset: The filename of the dataset.
+        :param filename_or_dataset: The filename or dataset.
 
-        :param indexes: The band(s) to load into the object. Default is to load all bands.
+        :param indexes: The band(s) to load into the object. Default loads all bands.
 
-        :param load_data: Load the raster data into the object. Default is False.
+        :param load_data: Whether to load the array during instantiation. Default is False.
 
-        :param downsample: Reduce the size of the image loaded by this factor. Default is 1.
+        :param downsample: Downsample the array once loaded by a round factor. Default is no downsampling.
 
-        :param masked: the data is loaded as a masked array, with no data values masked. Default is True.
+        :param masked: Whether to load the array as a NumPy masked-array, with nodata values masked. Default is True.
 
-        :param nodata: nodata to be used (overwrites the metadata). Default is None, i.e. reads from metadata.
+        :param nodata: The nodata value to be used (overwrites the metadata). Default reads from metadata.
 
         :param attrs: Additional attributes from rasterio's DataReader class to add to the Raster object.
             Default list is set by geoutils.georaster.raster._default_rio_attrs, i.e.
@@ -421,14 +397,14 @@ def __init__(
 
     @property
     def count_on_disk(self) -> None | int:
-        """Return the count of bands on disk if it exists."""
+        """The count of bands on disk if it exists."""
         if self._disk_shape is not None:
             return self._disk_shape[0]
         return None
 
     @property
     def count(self) -> int:
-        """Return the count of bands loaded in memory if they are, otherwise the one on disk."""
+        """The count of bands loaded in memory if they are, otherwise the one on disk."""
         if self.is_loaded:
             return int(self.data.shape[0])
         #  This can only happen if data is not loaded, with a DatasetReader on disk is open, never returns None
@@ -436,21 +412,21 @@ def count(self) -> int:
 
     @property
     def height(self) -> int:
-        """Return the height of the Raster in pixels."""
+        """The height of the raster in pixels."""
         if not self.is_loaded:
             return self._disk_shape[1]  # type: ignore
         return int(self.data.shape[1])
 
     @property
     def width(self) -> int:
-        """Return the width of the Raster in pixels."""
+        """The width of the raster in pixels."""
         if not self.is_loaded:
             return self._disk_shape[2]  # type: ignore
         return int(self.data.shape[2])
 
     @property
     def shape(self) -> tuple[int, int]:
-        """Return a (height, width) tuple of the data shape in pixels."""
+        """The shape (i.e., height, width) of the raster in pixels."""
         # If a downsampling argument was defined but data not loaded yet
         if self._out_shape is not None and not self.is_loaded:
             return self._out_shape[1], self._out_shape[2]
@@ -461,36 +437,36 @@ def shape(self) -> tuple[int, int]:
 
     @property
     def res(self) -> tuple[float | int, float | int]:
-        """Return the X/Y resolution in georeferenced units of the Raster."""
+        """The resolution (X, Y) of the raster in georeferenced units."""
         return self.transform[0], abs(self.transform[4])
 
     @property
     def bounds(self) -> rio.coords.BoundingBox:
-        """Return the bounding coordinates of the Raster."""
+        """The bounding coordinates of the raster."""
         return rio.coords.BoundingBox(*rio.transform.array_bounds(self.height, self.width, self.transform))
 
     @property
     def is_loaded(self) -> bool:
-        """Return False if the data attribute is None, and True if data exists."""
+        """Whether the raster array is loaded."""
         return self._data is not None
 
     @property
     def dtypes(self) -> tuple[str, ...]:
-        """Return the string representations of the data types for each band."""
+        """The data type for each raster band (string representation)."""
         if not self.is_loaded and self._disk_dtypes is not None:
             return self._disk_dtypes
         return (str(self.data.dtype),) * self.count
 
     @property
     def indexes_on_disk(self) -> None | tuple[int, ...]:
-        """Return the indexes of bands on disk if it exists."""
+        """The indexes of bands on disk if it exists."""
         if self._disk_indexes is not None:
             return self._disk_indexes
         return None
 
     @property
     def indexes(self) -> tuple[int, ...]:
-        """Return the indexes of bands loaded in memory if they are, otherwise on disk."""
+        """The indexes of bands loaded in memory if they are, otherwise on disk."""
         if self._indexes is not None and not self.is_loaded:
             if isinstance(self._indexes, int):
                 return (self._indexes,)
@@ -505,7 +481,7 @@ def indexes(self) -> tuple[int, ...]:
 
     def load(self, indexes: None | int | list[int] = None, **kwargs: Any) -> None:
         """
-        Load the data from disk.
+        Load the raster array from disk.
 
         :param kwargs: Optional keyword arguments sent to '_load_rio()'.
         :param indexes: The band(s) to load. Note that rasterio begins counting at 1, not 0.
@@ -559,7 +535,7 @@ def from_array(
         crs: CRS | int | None,
         nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
     ) -> RasterType:
-        """Create a Raster from a numpy array and some geo-referencing information.
+        """Create a raster from a numpy array and the georeferencing information.
 
         :param data: data array
 
@@ -604,7 +580,7 @@ def from_array(
             return cls({"data": data, "transform": transform, "crs": crs, "nodata": nodata})
 
     def to_rio_dataset(self) -> rio.io.DatasetReader:
-        """Export to a rasterio in-memory dataset."""
+        """Export to a Rasterio in-memory dataset."""
 
         # Create handle to new memory file
         mfh = rio.io.MemoryFile()
@@ -628,7 +604,7 @@ def to_rio_dataset(self) -> rio.io.DatasetReader:
         return mfh.open()
 
     def __repr__(self) -> str:
-        """Convert formal Raster string representation."""
+        """Convert to raster string representation."""
 
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
@@ -659,7 +635,7 @@ def __repr__(self) -> str:
         # return s
 
     def _repr_html_(self) -> str:
-        """Convert to HTML representation for notebooks and docs"""
+        """Convert to raster HTML representation for documentation."""
 
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
@@ -685,7 +661,7 @@ def _repr_html_(self) -> str:
         return str(s)
 
     def __str__(self) -> str:
-        """Provide simplified string for print() about Raster."""
+        """Provide simplified raster string representation for print()."""
 
         if not self.is_loaded:
             s = "not_loaded"
@@ -696,7 +672,9 @@ def __str__(self) -> str:
 
     def __getitem__(self, index: Raster | Vector | np.ndarray | list[float] | tuple[float, ...]) -> np.ndarray | Raster:
         """
-        Index or subset the raster:
+        Index or subset the raster.
+
+        Two cases:
         - If a mask of same georeferencing or array of same shape is passed, return the indexed raster array.
         - If a raster, vector, list or tuple of bounds is passed, return the cropped raster matching those objects.
         """
@@ -721,8 +699,10 @@ def __getitem__(self, index: Raster | Vector | np.ndarray | list[float] | tuple[
 
     def __setitem__(self, index: Mask | np.ndarray, assign: np.ndarray | Number) -> None:
         """
-        Index assignment: if a mask of same georeferencing or array of same shape is passed,
-        assign values of the raster array.
+        Perform index assignment on the raster.
+
+        If a mask of same georeferencing or array of same shape is passed,
+        it is used as index to assign values to the raster array.
         """
 
         # First, check index
@@ -759,8 +739,13 @@ def __setitem__(self, index: Mask | np.ndarray, assign: np.ndarray | Number) ->
         return None
 
     def raster_equal(self, other: object) -> bool:
-        """Check if a Raster masked array's data (including masked values), mask, fill_value and dtype are equal,
-        as well as the Raster's nodata, and georeferencing."""
+        """
+        Check if two rasters are equal.
+
+        This means that are equal:
+        - The raster's masked array's data (including masked values), mask, fill_value and dtype,
+        - The raster's transform, crs and nodata values.
+        """
 
         if not isinstance(other, type(self)):  # TODO: Possibly add equals to SatelliteImage?
             return NotImplemented
@@ -866,7 +851,8 @@ def _overloading_check(
 
     def __add__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:
         """
-        Sum up the data of two rasters or a raster and a numpy array, or a raster and single number.
+        Sum two rasters, or a raster and a numpy array, or a raster and single number.
+
         If other is a Raster, it must have the same data.shape, transform and crs as self.
         If other is a np.ndarray, it must have the same shape.
         Otherwise, other must be a single number.
@@ -1076,7 +1062,7 @@ def astype(self, dtype: DTypeLike, inplace: Literal[True]) -> None:
 
     def astype(self, dtype: DTypeLike, inplace: bool = False) -> Raster | None:
         """
-        Converts the data type of a Raster object.
+        Convert the data type of a raster.
 
         :param dtype: Any numpy dtype or string accepted by numpy.astype
         :param inplace: Set to True to modify the raster in place.
@@ -1103,9 +1089,9 @@ def astype(self, dtype: DTypeLike, inplace: bool = False) -> Raster | None:
 
     @property
     def is_modified(self) -> bool:
-        """Check whether file has been modified since it was created/opened.
+        """Whether the array has been modified since it was loaded from disk.
 
-        :returns: True if Raster has been modified.
+        :returns: True if raster has been modified.
 
         """
         if not self.is_loaded:
@@ -1122,7 +1108,7 @@ def is_modified(self) -> bool:
     @property
     def nodata(self) -> int | float | tuple[int, ...] | tuple[float, ...] | None:
         """
-        Get nodata value.
+        Nodata value of the raster.
 
         :returns: Nodata value
         """
@@ -1263,7 +1249,7 @@ def set_nodata(
     @property
     def data(self) -> np.ma.masked_array:
         """
-        Get data.
+        Array of the raster.
 
         :returns: data array.
 
@@ -1362,10 +1348,12 @@ def data(self, new_data: np.ndarray | np.ma.masked_array) -> None:
 
     def set_mask(self, mask: np.ndarray | Mask) -> None:
         """
-        Mask all pixels of self.data where `mask` is set to True or > 0.
+        Set a mask on the raster array.
 
-        Masking is performed in place.
-        `mask` must have the same shape as loaded data, unless the first dimension is 1, then it is ignored.
+        All pixels where `mask` is set to True or > 0 will be masked (in addition to previously masked pixels).
+
+        Masking is performed in place. The mask must have the same shape as loaded data,
+        unless the first dimension is 1, then it is ignored.
 
         :param mask: The data mask
         """
@@ -1395,7 +1383,7 @@ def set_mask(self, mask: np.ndarray | Mask) -> None:
 
     def info(self, stats: bool = False) -> str:
         """
-        Returns string of information about the raster (filename, coordinate system, number of columns/rows, etc.).
+        Summarize information about the raster.
 
         :param stats: Add statistics for each band of the dataset (max, min, median, mean, std. dev.). Default is to
             not calculate statistics.
@@ -1444,9 +1432,9 @@ def info(self, stats: bool = False) -> str:
 
     def copy(self: RasterType, new_array: np.ndarray | None = None) -> RasterType:
         """
-        Copy the Raster object in memory
+        Copy the raster in-memory.
 
-        :param new_array: New array to use for the copied Raster
+        :param new_array: New array to use for the copied raster
 
         :return:
         """
@@ -1461,9 +1449,9 @@ def copy(self: RasterType, new_array: np.ndarray | None = None) -> RasterType:
 
     def georeferenced_grid_equal(self: RasterType, raster: RasterType) -> bool:
         """
-        Check that grid shape, geotransform and CRS are equal.
+        Check that raster shape, geotransform and CRS are equal.
 
-        :param raster: Another Raster object
+        :param raster: Another raster object
 
         :return: Whether the two objects have the same georeferenced grid
         """
@@ -1480,11 +1468,13 @@ def get_nanarray(self, return_mask: Literal[True]) -> tuple[np.ndarray, np.ndarr
 
     def get_nanarray(self, return_mask: bool = False) -> np.ndarray | tuple[np.ndarray, np.ndarray]:
         """
-        Method to return the squeezed masked array filled with NaNs and associated squeezed mask, both as a copy.
+        Get NaN array from the raster.
+
+        Optionally, return the mask from the masked array.
 
-        :param return_mask: Whether to return the mask of valid data
+        :param return_mask: Whether to return the mask of valid data.
 
-        :returns Array with masked data as NaNs, (Optional) Mask of valid data
+        :returns Array with masked data as NaNs, (Optional) Mask of valid data.
         """
 
         # Cast array to float32 is its dtype is integer (cannot be filled with NaNs otherwise)
@@ -1679,7 +1669,9 @@ def crop(
         inplace: bool = True,
     ) -> RasterType | None:
         """
-        Crop the Raster to a given extent, or bounds of a raster or vector.
+        Crop the raster to a given extent.
+
+        Match-reference: a reference raster or vector can be passed to match bounds during cropping.
 
         Reprojection is done on the fly if georeferenced objects have different projections.
 
@@ -1757,9 +1749,11 @@ def reproject(
         memory_limit: int = 64,
     ) -> RasterType:
         """
-        Reproject raster to a specified grid.
+        Reproject raster to a different geotransform (resolution, bounds) and/or coordinate reference system (CRS).
+
+        Match-reference: a reference raster can be passed to match resolution, bounds and CRS during reprojection.
 
-        The output grid can either be given by a reference Raster (using `dst_ref`),
+        The output grid can either be given by a reference raster (using `dst_ref`),
         or by manually providing the output CRS (`dst_crs`), dimensions (`dst_size`),
         resolution (with `dst_size`) and/or bounds (`dst_bounds`).
         Any resampling algorithm implemented in rasterio can be used.
@@ -2006,10 +2000,10 @@ def reproject(
 
     def shift(self, xoff: float, yoff: float) -> None:
         """
-        Translate the Raster by a given x,y offset.
+        Shift the raster by a X/Y offset.
 
-        :param xoff: Translation x offset.
-        :param yoff: Translation y offset.
+        :param xoff: Translation X offset.
+        :param yoff: Translation Y offset.
 
 
         """
@@ -2031,7 +2025,8 @@ def save(
         gcps: list[tuple[float, ...]] | None = None,
         gcps_crs: CRS | None = None,
     ) -> None:
-        """Write the Raster to a geo-referenced file.
+        """
+        Write the raster to file.
 
         Given a filename to save the Raster to, create a geo-referenced file
         on disk which contains the contents of self.data.
@@ -2127,7 +2122,8 @@ def save(
                 dst.gcps = (rio_gcps, gcps_crs)
 
     def to_xarray(self, name: str | None = None) -> rioxarray.DataArray:
-        """Convert this Raster into an xarray DataArray using rioxarray.
+        """
+        Convert raster to a xarray.DataArray.
 
         This method uses rioxarray to generate a DataArray with associated
         geo-referencing information.
@@ -2150,7 +2146,7 @@ def to_xarray(self, name: str | None = None) -> rioxarray.DataArray:
 
     def get_bounds_projected(self, out_crs: CRS, densify_pts: int = 5000) -> rio.coords.BoundingBox:
         """
-        Return self's bounds in the given CRS.
+        Get raster bounds projected in a specified CRS.
 
         :param out_crs: Output CRS
         :param densify_pts: Maximum points to be added between image corners to account for non linear edges.
@@ -2217,7 +2213,8 @@ def show(
         return_axes: bool = False,
         **kwargs: Any,
     ) -> None | tuple[matplotlib.axes.Axes, matplotlib.colors.Colormap]:
-        r"""Show/display the raster, with axes in projection of image.
+        r"""
+        Plot the raster, with axes in projection of image.
 
         This method is a wrapper to rasterio.plot.show. Any \*\*kwargs which
         you give this method will be passed to it.
@@ -2347,13 +2344,11 @@ def value_at_coords(
         boundless: bool = True,
         reducer_function: Callable[[np.ndarray], float] = np.ma.mean,
     ) -> Any:
-        """ Extract the pixel value(s) at the nearest pixel(s) from the specified coordinates.
-
-        Extract pixel value of each band in dataset at the specified
-        coordinates. Alternatively, if band is specified, return only that
-        band's pixel value.
+        """
+        Extract raster values at the nearest pixels from the specified coordinates,
+        or reduced (e.g., mean of pixels) from a window around the specified coordinates.
 
-        Optionally, return mean of pixels within a square window.
+        By default, samples pixel value of each band. Can be passed a band index to sample from.
 
         :param x: x (or longitude) coordinate(s).
         :param y: y (or latitude) coordinate(s).
@@ -2524,13 +2519,13 @@ def format_value(value: Any) -> Any:
 
     def coords(self, offset: str = "corner", grid: bool = True) -> tuple[np.ndarray, np.ndarray]:
         """
-        Get x,y coordinates of all pixels in the raster.
+        Get coordinates (x,y) of all pixels in the raster.
 
         :param offset: coordinate type. If 'corner', returns corner coordinates of pixels.
             If 'center', returns center coordinates. Default is corner.
         :param grid: Return grid
 
-        :returns x,y: numpy arrays corresponding to the x,y coordinates of each pixel.
+        :returns x,y: Arrays of the (x,y) coordinates.
         """
         assert offset in [
             "corner",
@@ -2561,7 +2556,7 @@ def xy2ij(
         shift_area_or_point: bool = False,
     ) -> tuple[np.ndarray, np.ndarray]:
         """
-        Return row, column indices for a given x,y coordinate pair.
+        Get indexes (row,column) of coordinates (x,y).
 
         Optionally, user can enforce the interpretation of pixel coordinates in self.tags['AREA_OR_POINT']
         to ensure that the indexes of points represent the right location. See parameter description of
@@ -2574,7 +2569,7 @@ def xy2ij(
         :param shift_area_or_point: Shifts index to center pixel coordinates if GDAL's AREA_OR_POINT
             attribute (in self.tags) is "Point", keeps the corner pixel coordinate for "Area".
 
-        :returns i, j: indices of x,y in the image.
+        :returns i, j: indices of (x,y) in the image.
         """
         # Input checks
         if op not in [np.float32, np.float64, float]:
@@ -2642,7 +2637,7 @@ def xy2ij(
 
     def ij2xy(self, i: ArrayLike, j: ArrayLike, offset: str = "ul") -> tuple[np.ndarray, np.ndarray]:
         """
-        Return x,y coordinates for a given row, column index pair.
+        Get coordinates (x,y) of indexes (row,column).
 
         Defaults to upper-left, for which this function is fully reversible with xy2ij.
 
@@ -2688,7 +2683,7 @@ def interp_points(
     ) -> np.ndarray:
 
         """
-         Interpolate raster values at a given point, or sets of points.
+         Interpolate raster values at a set of points.
 
          Optionally, user can enforce the interpretation of pixel coordinates in self.tags['AREA_OR_POINT']
          to ensure that the interpolation of points is done at the right location. See parameter description
@@ -2734,40 +2729,10 @@ def interp_points(
 
         return rpts
 
-        # #TODO: right now it's a loop... could add multiprocessing parallel loop outside,
-        # # but such a method probably exists already within scipy/other interpolation packages?
-        # for pt in pts:
-        #     i,j = self.xy2ij(pt[0],pt[1])
-        #     if self.outside_image(i,j, index=True):
-        #         rpts.append(np.nan)
-        #         continue
-        #     else:
-        #         x = xx[j - nsize:j + nsize + 1]
-        #         y = yy[i - nsize:i + nsize + 1]
-        #
-        #         #TODO: read only that window?
-        #         z = self.data[band-1, i - nsize:i + nsize + 1, j - nsize:j + nsize + 1]
-        #         if mode in ['linear', 'cubic', 'quintic', 'nearest']:
-        #             X, Y = np.meshgrid(x, y)
-        #             try:
-        #                 zint = griddata((X.flatten(), Y.flatten()), z.flatten(), list(pt), method=mode)[0]
-        #             except:
-        #                 #TODO: currently fails when dealing with the edges
-        #                 print('Interpolation failed for:')
-        #                 print(pt)
-        #                 print(i,j)
-        #                 print(x)
-        #                 print(y)
-        #                 print(z)
-        #                 zint = np.nan
-        #         else:
-        #             zint = np.nanmean(z.flatten())
-        #         rpts.append(zint)
-        # rpts = np.array(rpts)
 
     def split_bands(self: RasterType, copy: bool = False, subset: list[int] | int | None = None) -> list[Raster]:
         """
-        Split the bands into separate copied rasters.
+        Split the bands into separate rasters.
 
         :param copy: Copy the bands or return slices of the original data.
         :param subset: Optional. A subset of band indices to extract (from 1 to self.count). Defaults to all.
@@ -2826,7 +2791,9 @@ def to_points(
         self, subset: float | int = 1, as_array: bool = False, pixel_offset: Literal["center", "corner"] = "center"
     ) -> np.ndarray | Vector:
         """
-        Subset a point cloud of the raster.
+        Convert raster to points.
+
+        Optionally, randomly subset the raster.
 
         If 'subset' is either 1 or is equal to the pixel count, all points are returned in order.
         If 'subset' is smaller than 1 (for fractions) or the pixel count, a random sample is returned.
@@ -2893,43 +2860,43 @@ def to_points(
         return points
 
     def polygonize(
-        self, in_value: Number | tuple[Number, Number] | list[Number] | np.ndarray | Literal["all"] = "all"
+        self, target_values: Number | tuple[Number, Number] | list[Number] | np.ndarray | Literal["all"] = "all"
     ) -> Vector:
         """
-        Return a GeoDataFrame polygonized from a raster.
+        Polygonize the raster into a vector.
 
-        :param in_value: Value or range of values of the raster from which to
+        :param target_values: Value or range of values of the raster from which to
           create geometries (Default is 1). If 'all', all unique pixel values of the raster are used.
 
         :returns: Vector containing the polygonized geometries.
         """
 
         # mask a unique value set by a number
-        if isinstance(in_value, Number):
+        if isinstance(target_values, Number):
 
-            if np.sum(self.data == in_value) == 0:
-                raise ValueError(f"no pixel with in_value {in_value}")
+            if np.sum(self.data == target_values) == 0:
+                raise ValueError(f"no pixel with in_value {target_values}")
 
-            bool_msk = np.array(self.data == in_value).astype(np.uint8)
+            bool_msk = np.array(self.data == target_values).astype(np.uint8)
 
         # mask values within boundaries set by a tuple
-        elif isinstance(in_value, tuple):
+        elif isinstance(target_values, tuple):
 
-            if np.sum((self.data > in_value[0]) & (self.data < in_value[1])) == 0:
-                raise ValueError(f"no pixel with in_value between {in_value[0]} and {in_value[1]}")
+            if np.sum((self.data > target_values[0]) & (self.data < target_values[1])) == 0:
+                raise ValueError(f"no pixel with in_value between {target_values[0]} and {target_values[1]}")
 
-            bool_msk = ((self.data > in_value[0]) & (self.data < in_value[1])).astype(np.uint8)
+            bool_msk = ((self.data > target_values[0]) & (self.data < target_values[1])).astype(np.uint8)
 
         # mask specific values set by a sequence
-        elif isinstance(in_value, list) or isinstance(in_value, np.ndarray):
+        elif isinstance(target_values, list) or isinstance(target_values, np.ndarray):
 
-            if np.sum(np.isin(self.data, in_value)) == 0:
-                raise ValueError("no pixel with in_value " + ", ".join(map("{}".format, in_value)))
+            if np.sum(np.isin(self.data, target_values)) == 0:
+                raise ValueError("no pixel with in_value " + ", ".join(map("{}".format, target_values)))
 
-            bool_msk = np.isin(self.data, in_value).astype("uint8")
+            bool_msk = np.isin(self.data, target_values).astype("uint8")
 
         # mask all valid values
-        elif in_value == "all":
+        elif target_values == "all":
 
             bool_msk = (~self.data.mask).astype("uint8")
 
@@ -2972,8 +2939,7 @@ def proximity(
         distance_unit: Literal["pixel"] | Literal["georeferenced"] = "georeferenced",
     ) -> Raster:
         """
-        Proximity to this Raster's target pixels, or to a Vector's geometry, computed for each cell of this Raster's
-        grid.
+        Compute the proximity distance to the raster target pixels, or to a vector geometry on the raster grid.
 
         When passing a Vector, by default, the boundary of the geometry will be used. The full geometry can be used by
         passing "geometry", or any lower dimensional geometry attribute such as "centroid", "envelope" or "convex_hull".
@@ -3002,8 +2968,23 @@ def proximity(
         return self.copy(new_array=proximity)
 
 
-# Subclass Mask for manipulating boolean Rasters
 class Mask(Raster):
+    """
+    The georeferenced mask.
+
+    Subclasses :class:`geoutils.Raster`.
+
+     Main attributes:
+        data: :class:`np.ndarray`
+            Boolean data array of the mask, with dimensions corresponding to (height, width).
+        transform: :class:`affine.Affine`
+            Geotransform of the raster.
+        crs: :class:`pyproj.crs.CRS`
+            Coordinate reference system of the raster.
+
+    All other attributes are derivatives of those attributes, or read from the file on disk.
+    See the API for more details.
+    """
     def __init__(
         self,
         filename_or_dataset: str | RasterType | rio.io.DatasetReader | rio.io.MemoryFile | dict[str, Any],
@@ -3037,7 +3018,7 @@ def __init__(
             self._dtypes = (bool,)
 
     def __repr__(self) -> str:
-        """Convert formal Raster string representation."""
+        """Convert mask to string representation."""
 
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
@@ -3060,7 +3041,7 @@ def __repr__(self) -> str:
         return str(s)
 
     def _repr_html_(self) -> str:
-        """Convert to HTML representation for notebooks and docs"""
+        """Convert mask to HTML representation for notebooks and docs"""
 
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
@@ -3183,17 +3164,17 @@ def crop(
                 return None
 
     def polygonize(
-        self, in_value: Number | tuple[Number, Number] | list[Number] | np.ndarray | Literal["all"] = 1
+        self, target_values: Number | tuple[Number, Number] | list[Number] | np.ndarray | Literal["all"] = 1
     ) -> Vector:
 
         # If target values is passed but does not correspond to 0 or 1, raise a warning
-        if not isinstance(in_value, (int, np.integer, float, np.floating)) or in_value not in [0, 1]:
+        if not isinstance(target_values, (int, np.integer, float, np.floating)) or target_values not in [0, 1]:
             warnings.warn("In-value converted to 1 for polygonizing boolean mask.")
-            in_value = 1
+            target_values = 1
 
         # Convert to unsigned integer and pass to parent method
         self._data = self.data.astype("uint8")
-        return super().polygonize(in_value=in_value)
+        return super().polygonize(target_values=target_values)
 
     def proximity(
         self,
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 37a6b4f6d..d75d2548e 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -2263,7 +2263,7 @@ def test_polygonize(self, example: str) -> None:
         pixel_area = np.count_nonzero(img.data == value) * img.res[0] * img.res[1]
 
         # Polygonize the raster for this value, and compute the total area
-        polygonized = img.polygonize(in_value=value)
+        polygonized = img.polygonize(target_values=value)
         polygon_area = polygonized.ds.area.sum()
 
         # Check that these two areas are approximately equal
@@ -2282,11 +2282,11 @@ def test_polygonize(self, example: str) -> None:
                 )
                 img_dtype = img_dtype.astype(dtype)
             value = np.unique(img_dtype)[0]
-            img_dtype.polygonize(in_value=value)
+            img_dtype.polygonize(target_values=value)
 
         # And for a boolean object, such as a mask
         mask = img > value
-        mask.polygonize(in_value=1)
+        mask.polygonize(target_values=1)
 
     # Test all options, with both an artificial Raster (that has all target values) and a real Raster
     @pytest.mark.parametrize("distunits", ["GEO", "PIXEL"])  # type: ignore

From 6b715f4ea07f1071df406f241dc3ab8dfbcf2aa5 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 15:23:44 -0800
Subject: [PATCH 093/184] Streamline the function and attribute descriptions in
 geovector

---
 geoutils/georaster/raster.py | 17 +++----
 geoutils/geovector.py        | 97 +++++++++++++++++++++---------------
 2 files changed, 65 insertions(+), 49 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index e9d9c4305..4438d2023 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -274,8 +274,6 @@ def __init__(
             Default list is set by geoutils.georaster.raster._default_rio_attrs, i.e.
             ['bounds', 'count', 'crs', 'driver', 'dtypes', 'height', 'indexes',
             'name', 'nodata', 'res', 'shape', 'transform', 'width'] - if no attrs are specified, these will be added.
-
-        :return: A Raster object
         """
         self.driver: str | None = None
         self.name: str | None = None
@@ -604,7 +602,7 @@ def to_rio_dataset(self) -> rio.io.DatasetReader:
         return mfh.open()
 
     def __repr__(self) -> str:
-        """Convert to raster string representation."""
+        """Convert raster to string representation."""
 
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
@@ -635,7 +633,7 @@ def __repr__(self) -> str:
         # return s
 
     def _repr_html_(self) -> str:
-        """Convert to raster HTML representation for documentation."""
+        """Convert raster to HTML representation for documentation."""
 
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
@@ -1753,12 +1751,11 @@ def reproject(
 
         Match-reference: a reference raster can be passed to match resolution, bounds and CRS during reprojection.
 
-        The output grid can either be given by a reference raster (using `dst_ref`),
-        or by manually providing the output CRS (`dst_crs`), dimensions (`dst_size`),
-        resolution (with `dst_size`) and/or bounds (`dst_bounds`).
-        Any resampling algorithm implemented in rasterio can be used.
+        Alternatively, the destination resolution, bounds and CRS can be passed individually.
 
-        To reproject a Raster with different source bounds, first run Raster.crop.
+        Any resampling algorithm implemented in Rasterio can be passed as a string.
+        See https://rasterio.readthedocs.io/en/stable/api/rasterio.enums.html#rasterio.enums.Resampling
+        for the full list.
 
         :param dst_ref: A reference raster. If set will use the attributes of this
             raster for the output grid. Can be provided as Raster/rasterio data set or as path to the file.
@@ -2939,7 +2936,7 @@ def proximity(
         distance_unit: Literal["pixel"] | Literal["georeferenced"] = "georeferenced",
     ) -> Raster:
         """
-        Compute the proximity distance to the raster target pixels, or to a vector geometry on the raster grid.
+        Compute proximity distances to the raster target pixels, or to a vector geometry on the raster grid.
 
         When passing a Vector, by default, the boundary of the geometry will be used. The full geometry can be used by
         passing "geometry", or any lower dimensional geometry attribute such as "centroid", "envelope" or "convex_hull".
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index 420cc4515..a2854c687 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -33,27 +33,36 @@
 
 class Vector:
     """
-    Create a Vector object from a fiona-supported vector dataset.
+    The georeferenced vector
+
+     Main attributes:
+        ds: :class:`geopandas.GeoDataFrame`
+            Geodataframe of the vector.
+        crs: :class:`pyproj.crs.CRS`
+            Coordinate reference system of the vector.
+        bounds: :class:`rio.coords.BoundingBox`
+            Coordinate bounds of the vector.
+
+    All other attributes are derivatives of those attributes, or read from the file on disk.
+    See the API for more details.
     """
 
-    def __init__(self, filename: str | pathlib.Path | gpd.GeoDataFrame):
+    def __init__(self, filename_or_dataset: str | pathlib.Path | gpd.GeoDataFrame):
         """
-        Load a fiona-supported dataset, given a filename.
+        Instantiate a vector from a filename or geopandas geodataframe.
 
-        :param filename: The filename or GeoDataFrame of the dataset.
-
-        :return: A Vector object
+        :param filename_or_dataset: The filename or geodataframe.
         """
 
-        if isinstance(filename, (str, pathlib.Path)):
+        if isinstance(filename_or_dataset, (str, pathlib.Path)):
             with warnings.catch_warnings():
                 # This warning shows up in numpy 1.21 (2021-07-09)
                 warnings.filterwarnings("ignore", ".*attribute.*array_interface.*Polygon.*")
-                ds = gpd.read_file(filename)
+                ds = gpd.read_file(filename_or_dataset)
             self._ds = ds
-            self._name: str | gpd.GeoDataFrame | None = filename
-        elif isinstance(filename, gpd.GeoDataFrame):
-            self._ds = filename
+            self._name: str | gpd.GeoDataFrame | None = filename_or_dataset
+        elif isinstance(filename_or_dataset, gpd.GeoDataFrame):
+            self._ds = filename_or_dataset
             self._name = None
         else:
             raise TypeError("Filename argument should be a string, Path or geopandas.GeoDataFrame.")
@@ -61,7 +70,8 @@ def __init__(self, filename: str | pathlib.Path | gpd.GeoDataFrame):
         self._crs = self.ds.crs
 
     def __repr__(self) -> str:
-        """Representation of vector"""
+        """Convert vector to string representation."""
+
 
         # Get the representation of ds
         str_ds = "\n       ".join(self.__str__().split("\n"))
@@ -81,7 +91,7 @@ def __repr__(self) -> str:
         return s
 
     def _repr_html_(self) -> str:
-        """Representation of vector for html"""
+        """Convert vector to HTML string representation for documentation."""
 
         str_ds = "\n       ".join(self.ds.__str__().split("\n"))
 
@@ -103,18 +113,20 @@ def _repr_html_(self) -> str:
         return s
 
     def __str__(self) -> str:
-        """Provide string of information about Raster."""
+        """Provide simplified vector string representation for print()."""
 
         return str(self.ds.__str__())
 
     def __getitem__(self, value: gu.Raster | Vector | list[float] | tuple[float, ...]) -> Vector:
-        """Subset the Raster object: calls the crop method with default parameters"""
+        """
+        Index or subset the vector.
+        """
 
         return self.crop(crop_geom=value, clip=False, inplace=False)
 
     def info(self) -> str:
         """
-        Returns string of information about the vector (filename, coordinate system, number of layers, features, etc.).
+        Summarize information about the vector.
 
         :returns: text information about Vector attributes.
         :rtype: str
@@ -143,7 +155,8 @@ def show(
         return_axes: bool = False,
         **kwargs: Any,
     ) -> None | tuple[matplotlib.axes.Axes, matplotlib.colors.Colormap]:
-        r"""Show/display the vector, with axes in projection of image.
+        r"""
+        Plot the vector.
 
         This method is a wrapper to geopandas.GeoDataFrame.plot. Any \*\*kwargs which
         you give this method will be passed to it.
@@ -241,23 +254,23 @@ def show(
 
     @property
     def bounds(self) -> rio.coords.BoundingBox:
-        """Get a bounding box of the total bounds of the Vector."""
+        """Bounding box of the vector."""
         return rio.coords.BoundingBox(*self.ds.total_bounds)
 
     @property
     def crs(self) -> rio.crs.CRS:
-        """Ensure CRS cannot be set"""
+        """Coordinate reference system of the vector."""
         self._crs = self.ds.crs
         return self._crs
 
     @property
     def ds(self) -> gpd.GeoDataFrame:
-        """Getter method for dataset"""
+        """Geodataframe of the vector."""
         return self._ds
 
     @ds.setter
     def ds(self, new_ds: gpd.GeoDataFrame | gpd.GeoSeries) -> None:
-        """Setting a new GeoDataFrame"""
+        """Set a new geodataframe."""
 
         if isinstance(new_ds, gpd.GeoDataFrame):
             self._ds = new_ds
@@ -268,11 +281,11 @@ def ds(self, new_ds: gpd.GeoDataFrame | gpd.GeoSeries) -> None:
 
     @property
     def name(self) -> str | None:
-        """Filename if exists"""
+        """Name on disk, if it exists."""
         return self._name
 
     def copy(self: VectorType) -> VectorType:
-        """Return a copy of the Vector."""
+        """Return a copy of the vector."""
         # Utilise the copy method of GeoPandas
         new_vector = self.__new__(type(self))
         new_vector.__init__(self.ds.copy())  # type: ignore
@@ -315,8 +328,11 @@ def crop(
         inplace: bool = True,
     ) -> VectorType | None:
         """
-        Crop the Vector to given extent, or bounds of a raster or vector. Optionally, clip geometries
-        to that extent (by default keeps all intersecting).
+        Crop the vector to given extent.
+
+        Match-reference: a reference raster or vector can be passed to match bounds during cropping.
+
+        Optionally, clip geometries to that extent (by default keeps all intersecting).
 
         Reprojection is done on the fly if georeferenced objects have different projections.
 
@@ -355,10 +371,11 @@ def reproject(
         dst_crs: CRS | str | int | None = None,
     ) -> Vector:
         """
-        Reproject vector to a specified CRS.
+        Reproject vector to a specified coordinate reference system.
+
+        Match-reference: a reference raster or vector can be passed to match CRS during reprojection.
 
-        The output CRS can either be given by a reference Raster or Vector (using `dst_ref`) or by manually
-        providing the output CRS (`dst_crs`)
+        Alternatively, a CRS can be passed in many formats (string, EPSG integer, or CRS).
 
         To reproject a Vector with different source bounds, first run Vector.crop().
 
@@ -443,7 +460,9 @@ def create_mask(
         as_array: bool = False,
     ) -> gu.Mask | np.ndarray:
         """
-        Rasterize the vector features into a boolean mask matching the georeferencing of a raster.
+        Create a mask from the vector features.
+
+        Match-reference: a raster can be passed to match its resolution, bounds and CRS when creating the mask.
 
         Alternatively, user can specify a grid to rasterize on using xres, yres, bounds and crs.
         Only xres is mandatory, by default yres=xres and bounds/crs are set to self's.
@@ -551,9 +570,9 @@ def rasterize(
         out_value: int | float = 0,
     ) -> gu.Raster | gu.Mask:
         """
-        Return an array with input geometries burned in.
+        Rasterize vector to a raster or mask, with input geometries burned in.
 
-        By default, output raster has the extent/dimensions of the provided raster file.
+        Match-reference: a raster can be passed to match its resolution, bounds and CRS when rasterizing the vector.
         Alternatively, user can specify a grid to rasterize on using xres, yres, bounds and crs.
         Only xres is mandatory, by default yres=xres and bounds/crs are set to self's.
 
@@ -677,7 +696,7 @@ def from_bounds_projected(
 
     def query(self: Vector, expression: str, inplace: bool = False) -> Vector | None:
         """
-        Query the Vector dataset with a valid Pandas expression.
+        Query the vector with a valid Pandas expression.
 
         :param expression: A python-like expression to evaluate. Example: "col1 > col2".
         :param inplace: Whether the query should modify the data in place or return a modified copy.
@@ -702,11 +721,11 @@ def proximity(
         distance_unit: Literal["pixel"] | Literal["georeferenced"] = "georeferenced",
     ) -> gu.Raster:
         """
-        Proximity to this Vector's geometry computed for each cell of a Raster grid, or for a grid size with
-        this Vector's extent.
+        Compute proximity distances to this vector's geometry.
+
+        Match-reference: a raster can be passed to match its resolution, bounds and CRS for computing proximity distances.
 
-        If passed, the Raster georeferenced grid will be used to burn the proximity. If not, a grid size can be
-        passed to create a georeferenced grid with the bounds and CRS of this Vector.
+        Alternatively, a grid size can be passed to create a georeferenced grid with the bounds and CRS of this vector.
 
         By default, the boundary of the Vector's geometry will be used. The full geometry can be used by
         passing "geometry",
@@ -747,7 +766,7 @@ def proximity(
 
     def buffer_metric(self, buffer_size: float) -> Vector:
         """
-        Buffer the vector in a metric system (UTM only).
+        Buffer the vector features in a local metric system (UTM only).
 
         The outlines are projected to a local UTM, then reverted to the original projection after buffering.
 
@@ -788,7 +807,7 @@ def buffer_metric(self, buffer_size: float) -> Vector:
 
     def get_bounds_projected(self, out_crs: CRS, densify_pts: int = 5000) -> rio.coords.BoundingBox:
         """
-        Return self's bounds in the given CRS.
+        Get vector bounds projected in a specified CRS.
 
         :param out_crs: Output CRS
         :param densify_pts: Maximum points to be added between image corners to account for nonlinear edges.
@@ -802,7 +821,7 @@ def get_bounds_projected(self, out_crs: CRS, densify_pts: int = 5000) -> rio.coo
 
     def buffer_without_overlap(self, buffer_size: int | float, metric: bool = True, plot: bool = False) -> Vector:
         """
-        Returns a Vector object containing self's geometries extended by a buffer, without overlapping each other.
+        Buffer the vector geometries without overlapping each other.
 
         The algorithm is based upon this tutorial: https://statnmap.com/2020-07-31-buffer-area-for-nearest-neighbour/.
         The buffered polygons are created using Voronoi polygons in order to delineate the "area of influence"

From 0d20da0646177808c1a2c19121c2598f48d05b45 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 15:38:32 -0800
Subject: [PATCH 094/184] Linting

---
 geoutils/georaster/raster.py |  8 ++++----
 geoutils/geovector.py        | 12 ++++++------
 tests/test_geovector.py      | 17 ++++++++---------
 3 files changed, 18 insertions(+), 19 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 4438d2023..a443f1aec 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -2726,7 +2726,6 @@ def interp_points(
 
         return rpts
 
-
     def split_bands(self: RasterType, copy: bool = False, subset: list[int] | int | None = None) -> list[Raster]:
         """
         Split the bands into separate rasters.
@@ -2982,6 +2981,7 @@ class Mask(Raster):
     All other attributes are derivatives of those attributes, or read from the file on disk.
     See the API for more details.
     """
+
     def __init__(
         self,
         filename_or_dataset: str | RasterType | rio.io.DatasetReader | rio.io.MemoryFile | dict[str, Any],
@@ -3109,7 +3109,7 @@ def reproject(
     @overload
     def crop(
         self: Mask,
-        cropGeom: Mask | Vector | list[float] | tuple[float, ...],
+        crop_geom: Mask | Vector | list[float] | tuple[float, ...],
         mode: Literal["match_pixel"] | Literal["match_extent"] = "match_pixel",
         *,
         inplace: Literal[True],
@@ -3119,7 +3119,7 @@ def crop(
     @overload
     def crop(
         self: Mask,
-        cropGeom: Mask | Vector | list[float] | tuple[float, ...],
+        crop_geom: Mask | Vector | list[float] | tuple[float, ...],
         mode: Literal["match_pixel"] | Literal["match_extent"] = "match_pixel",
         *,
         inplace: Literal[False],
@@ -3129,7 +3129,7 @@ def crop(
     @overload
     def crop(
         self: Mask,
-        cropGeom: Mask | Vector | list[float] | tuple[float, ...],
+        crop_geom: Mask | Vector | list[float] | tuple[float, ...],
         mode: Literal["match_pixel"] | Literal["match_extent"] = "match_pixel",
         inplace: bool = True,
     ) -> Mask | None:
diff --git a/geoutils/geovector.py b/geoutils/geovector.py
index a2854c687..43dc9d4c2 100644
--- a/geoutils/geovector.py
+++ b/geoutils/geovector.py
@@ -72,7 +72,6 @@ def __init__(self, filename_or_dataset: str | pathlib.Path | gpd.GeoDataFrame):
     def __repr__(self) -> str:
         """Convert vector to string representation."""
 
-
         # Get the representation of ds
         str_ds = "\n       ".join(self.__str__().split("\n"))
 
@@ -294,7 +293,7 @@ def copy(self: VectorType) -> VectorType:
     @overload
     def crop(
         self: VectorType,
-        cropGeom: gu.Raster | Vector | list[float] | tuple[float, ...],
+        crop_geom: gu.Raster | Vector | list[float] | tuple[float, ...],
         clip: bool,
         *,
         inplace: Literal[True],
@@ -304,7 +303,7 @@ def crop(
     @overload
     def crop(
         self: VectorType,
-        cropGeom: gu.Raster | Vector | list[float] | tuple[float, ...],
+        crop_geom: gu.Raster | Vector | list[float] | tuple[float, ...],
         clip: bool,
         *,
         inplace: Literal[False],
@@ -314,7 +313,7 @@ def crop(
     @overload
     def crop(
         self: VectorType,
-        cropGeom: gu.Raster | Vector | list[float] | tuple[float, ...],
+        crop_geom: gu.Raster | Vector | list[float] | tuple[float, ...],
         clip: bool,
         *,
         inplace: bool = True,
@@ -538,7 +537,7 @@ def create_mask(
 
         # Create a buffer around the features
         if not isinstance(buffer, (int, float, np.number)):
-            raise TypeError("Buffer must be a number, currently set to {}.".format(type(buffer).__name__))
+            raise TypeError(f"Buffer must be a number, currently set to {type(buffer).__name__}.")
         if buffer != 0:
             gdf.geometry = [geom.buffer(buffer) for geom in gdf.geometry]
         elif buffer == 0:
@@ -723,7 +722,8 @@ def proximity(
         """
         Compute proximity distances to this vector's geometry.
 
-        Match-reference: a raster can be passed to match its resolution, bounds and CRS for computing proximity distances.
+        Match-reference: a raster can be passed to match its resolution, bounds and CRS for computing
+        proximity distances.
 
         Alternatively, a grid size can be passed to create a georeferenced grid with the bounds and CRS of this vector.
 
diff --git a/tests/test_geovector.py b/tests/test_geovector.py
index 6ddc10306..d426741c0 100644
--- a/tests/test_geovector.py
+++ b/tests/test_geovector.py
@@ -4,10 +4,10 @@
 import re
 
 import geopandas as gpd
+import matplotlib.pyplot as plt
 import numpy as np
 import pytest
 from geopandas.testing import assert_geodataframe_equal
-import matplotlib.pyplot as plt
 from scipy.ndimage import binary_erosion
 from shapely.geometry.linestring import LineString
 from shapely.geometry.multilinestring import MultiLineString
@@ -49,7 +49,7 @@ def test_init(self) -> None:
 
         # Check errors are raised when filename has wrong type
         with pytest.raises(TypeError, match="Filename argument should be a string, Path or geopandas.GeoDataFrame."):
-            gu.Vector(1) # type: ignore
+            gu.Vector(1)  # type: ignore
 
     def test_copy(self) -> None:
 
@@ -165,7 +165,6 @@ def test_rasterize_unproj(self) -> None:
         with pytest.raises(ValueError, match="Only one of rst or crs can be provided."):
             vct.rasterize(rst=rst, crs=3857)
 
-
     test_data = [[landsat_b4_crop_path, everest_outlines_path], [aster_dem_path, aster_outlines_path]]
 
     @pytest.mark.parametrize("data", test_data)  # type: ignore
@@ -211,9 +210,9 @@ def test_crop(self, data: list[str]) -> None:
         # Check that some features were indeed removed
         assert np.sum(~np.array(intersects_old)) > 0
 
-        # Check that error is raised when cropGeom argument is unvalid
+        # Check that error is raised when cropGeom argument is invalid
         with pytest.raises(TypeError, match="Crop geometry must be a Raster, Vector, or list of coordinates."):
-            outlines.crop(1) # type: ignore
+            outlines.crop(1)  # type: ignore
 
     def test_proximity(self) -> None:
         """
@@ -344,11 +343,11 @@ def test_create_mask(self) -> None:
 
         # Check that an error is raised if buffer is the wrong type
         with pytest.raises(TypeError, match="Buffer must be a number, currently set to str."):
-            vector.create_mask(rst, buffer="lol") # type: ignore
+            vector.create_mask(rst, buffer="lol")  # type: ignore
 
         # If the raster has the wrong type
         with pytest.raises(TypeError, match="Raster must be a geoutils.Raster or None."):
-            vector.create_mask("lol") # type: ignore
+            vector.create_mask("lol")  # type: ignore
 
         # Check that a warning is raised if the bounds were passed specifically by the user
         with pytest.warns(UserWarning):
@@ -463,7 +462,7 @@ def test_buffer_metric(self) -> None:
         # And this time, it is the reprojected GeoDataFrame that should almost match (within a tolerance of 10e-06)
         assert all(direct_gpd_buffer.ds.geom_almost_equals(two_squares_geographic_buffered_reproj.ds))
 
-    def test_buffer_without_overlap(self, monkeypatch) -> None:
+    def test_buffer_without_overlap(self, monkeypatch) -> None:  # type: ignore
         """
         Check that non-overlapping buffer feature works. Does not work on simple geometries, so test on MultiPolygon.
         Yet, very simple geometries yield unexpected results, as is the case for the second test case here.
@@ -528,5 +527,5 @@ def test_buffer_without_overlap(self, monkeypatch) -> None:
         assert np.all(mask_nobuffer | mask_nonoverlap == mask_buffer)
 
         # Check that plotting runs without errors and close it
-        monkeypatch.setattr(plt, 'show', lambda: None)
+        monkeypatch.setattr(plt, "show", lambda: None)
         two_squares.buffer_without_overlap(buffer_size, plot=True)

From c06afc936e9623388d869710b3464e0ecda15342 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 16:50:41 -0800
Subject: [PATCH 095/184] Add test for to_xarray

---
 geoutils/georaster/raster.py | 39 +++++++++-------
 tests/test_georaster.py      | 90 +++++++++++++++++++++++++++++++++++-
 2 files changed, 111 insertions(+), 18 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index a443f1aec..b621b7a94 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -44,6 +44,7 @@
     from typing_extensions import Literal  # type: ignore
 
 try:
+    import xarray as xr
     import rioxarray
 
     _has_rioxarray = True
@@ -133,7 +134,7 @@ def _default_nodata(dtype: str | np.dtype | type) -> int:
     }
     # Check argument dtype is as expected
     if not isinstance(dtype, (str, np.dtype, type)):
-        raise ValueError(f"dtype {dtype} not understood")
+        raise TypeError(f"dtype {dtype} not understood.")
 
     # Convert numpy types to string
     if isinstance(dtype, type):
@@ -146,7 +147,7 @@ def _default_nodata(dtype: str | np.dtype | type) -> int:
     if dtype in default_nodata_lookup.keys():
         return default_nodata_lookup[dtype]
     else:
-        raise NotImplementedError(f"No default nodata value set for dtype {dtype}")
+        raise NotImplementedError(f"No default nodata value set for dtype {dtype}.")
 
 
 # Set default attributes to be kept from rasterio's DatasetReader
@@ -357,7 +358,7 @@ def __init__(
 
             # Downsampled image size
             if not isinstance(downsample, (int, float)):
-                raise ValueError("downsample must be of type int or float")
+                raise TypeError("downsample must be of type int or float.")
             if downsample == 1:
                 out_shape = (count, self.height, self.width)
             else:
@@ -387,11 +388,11 @@ def __init__(
 
         # Provide a catch in case trying to load from data array
         elif isinstance(filename_or_dataset, np.ndarray):
-            raise ValueError("np.array provided as filename. Did you mean to call Raster.from_array(...) instead? ")
+            raise TypeError("The filename is an array, did you mean to call Raster.from_array(...) instead?")
 
         # Don't recognise the input, so stop here.
         else:
-            raise ValueError("filename argument not recognised.")
+            raise TypeError("The filename argument is not recognised, should be a path or a Rasterio dataset.")
 
     @property
     def count_on_disk(self) -> None | int:
@@ -488,18 +489,24 @@ def load(self, indexes: None | int | list[int] = None, **kwargs: Any) -> None:
         :raises AttributeError: If no 'filename' attribute exists.
         """
         if self.is_loaded:
-            raise ValueError("Data are already loaded")
+            raise ValueError("Data are already loaded.")
 
         if self.filename is None:
-            raise AttributeError("'filename' is not set")
+            raise AttributeError("Cannot load as filename is not set anymore. Did you manually update the filename attribute?")
 
         # If no index is passed, use all of them
         if indexes is None:
             valid_indexes = self.indexes
-        elif isinstance(indexes, int):
-            valid_indexes = (indexes,)
-        else:
-            valid_indexes = tuple(indexes)
+        # If a new index was pass, redefine out_shape
+        elif isinstance(indexes, (int, list)):
+            # Rewrite properly as a tuple
+            if isinstance(indexes, int):
+                valid_indexes = (indexes,)
+            else:
+                valid_indexes = tuple(indexes)
+            # Update out_shape
+            self._out_shape = (len(valid_indexes), self._out_shape[1], self._out_shape[2])
+
 
         # Save which indexes are loaded
         self._indexes_loaded = valid_indexes
@@ -563,7 +570,7 @@ def from_array(
             if isinstance(transform, tuple):
                 transform = Affine(*transform)
             else:
-                raise ValueError("transform argument needs to be Affine or tuple.")
+                raise TypeError("The transform argument needs to be Affine or tuple.")
 
         # Enable shortcut to create CRS from an EPSG ID.
         if isinstance(crs, int):
@@ -2118,7 +2125,7 @@ def save(
 
                 dst.gcps = (rio_gcps, gcps_crs)
 
-    def to_xarray(self, name: str | None = None) -> rioxarray.DataArray:
+    def to_xarray(self, name: str | None = None) -> xr.DataArray:
         """
         Convert raster to a xarray.DataArray.
 
@@ -2135,11 +2142,11 @@ def to_xarray(self, name: str | None = None) -> rioxarray.DataArray:
         if not _has_rioxarray:
             raise ImportError("rioxarray is required for this functionality.")
 
-        xr = rioxarray.open_rasterio(self.to_rio_dataset())
+        ds = rioxarray.open_rasterio(self.to_rio_dataset())
         if name is not None:
-            xr.name = name
+            ds.name = name
 
-        return xr
+        return ds
 
     def get_bounds_projected(self, out_crs: CRS, densify_pts: int = 5000) -> rio.coords.BoundingBox:
         """
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index d75d2548e..009c3aa3c 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -14,6 +14,8 @@
 import numpy as np
 import pytest
 import rasterio as rio
+import xarray as xr
+import rioxarray as rioxr
 from pylint import epylint
 
 import geoutils as gu
@@ -124,6 +126,12 @@ def test_init(self, example: str) -> None:
         assert np.ma.isMaskedArray(gu.Raster(example, masked=True).data)
         assert np.ma.isMaskedArray(gu.Raster(example, masked=False).data)
 
+        # Check that an error is raised when instantiating with an array
+        with pytest.raises(TypeError, match="The filename is an array, did you mean to call Raster.from_array(...) instead?"):
+            gu.Raster(np.ones(size=(1,1))) # type: ignore
+        with pytest.raises(TypeError, match="The filename argument is not recognised, should be a path or a Rasterio dataset."):
+            gu.Raster(1) # type: ignore
+
     @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])  # type: ignore
     def test_info(self, example: str) -> None:
         """Test that the information summary is consistent with that of rasterio"""
@@ -160,7 +168,7 @@ def test_info(self, example: str) -> None:
                 continue
             assert line == new_stats.splitlines()[i]
 
-    def test_loading(self) -> None:
+    def test_load(self) -> None:
         """
         Test that loading metadata and data works for all possible cases.
         """
@@ -170,6 +178,12 @@ def test_loading(self) -> None:
 
         assert r_explicit.raster_equal(r_implicit)
 
+        # Same for a multi-band raster
+        r_explicit_rgb = gu.Raster(self.landsat_rgb_path, load_data=True)
+        r_implicit_rgb = gu.Raster(self.landsat_rgb_path)
+
+        assert r_explicit_rgb.raster_equal(r_implicit_rgb)
+
         # Test 1 - loading metadata only, single band
         # For the first example with Landsat B4
         r = gu.Raster(self.landsat_b4_path)
@@ -257,6 +271,33 @@ def test_loading(self) -> None:
         assert r.indexes_on_disk == (1, 2, 3)
         assert r.data.shape == (r.count, r.height, r.width)
 
+        # Test 7 - load a single band a posteriori calling load()
+        r = gu.Raster(self.landsat_rgb_path)
+        r.load(indexes=1)
+        assert r.count == 1
+        assert r.count_on_disk == 3
+        assert r.indexes == (1,)
+        assert r.indexes_on_disk == (1, 2, 3)
+        assert r.data.shape == (r.count, r.height, r.width)
+
+        # Test 8 - load a list of band a posteriori calling load()
+        r = gu.Raster(self.landsat_rgb_path)
+        r.load(indexes=[2, 3])
+        assert r.count == 2
+        assert r.count_on_disk == 3
+        assert r.indexes == (1, 2)
+        assert r.indexes_on_disk == (1, 2, 3)
+        assert r.data.shape == (r.count, r.height, r.width)
+
+        # Check that errors are raised when appropriate
+        with pytest.raises(ValueError, match="Data are already loaded."):
+            r.load()
+        with pytest.raises(AttributeError, match="Cannot load as filename is not set anymore. "
+                                             "Did you manually update the filename attribute?"):
+            r = gu.Raster(self.landsat_b4_path)
+            r.filename = None
+            r.load()
+
     @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])  # type: ignore
     def test_to_rio_dataset(self, example: str):
         """Test the export to a rasterio dataset"""
@@ -277,6 +318,39 @@ def test_to_rio_dataset(self, example: str):
         assert np.array_equal(rst.data.data, rio_ds.read().data)
         assert np.array_equal(rst.data.mask, rio_ds.read(masked=True).mask)
 
+    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path, landsat_rgb_path])  # type: ignore
+    def test_to_xarray(self, example: str):
+        """Test the export to a xarray dataset"""
+
+        # Open raster and export to rio dataset
+        rst = gu.Raster(example)
+        ds = rst.to_xarray()
+
+        # Check that the output is indeed a xarray Dataset
+        assert isinstance(ds, xr.DataArray)
+
+        # Check that all attributes are equal
+        assert ds.band.size == rst.count
+        assert ds.x.size == rst.width
+        assert ds.y.size == rst.height
+
+        # Check that coordinates are shifted by a half pixel
+        assert ds.x.values[0] == rst.bounds.left + rst.res[0] / 2
+        assert ds.y.values[0] == rst.bounds.top - rst.res[1] / 2
+        assert ds.x.values[-1] == rst.bounds.right - rst.res[0] / 2
+        assert ds.y.values[-1] == rst.bounds.bottom + rst.res[1] / 2
+
+        # Check that georeferencing attribute are equal
+        new_trans_order = ["c", "a", "b", "f", "d", "e"]
+        assert ds.spatial_ref.GeoTransform == " ".join([str(getattr(rst.transform, attr)) for attr in new_trans_order])
+
+        # Check that CRS are equal
+        assert ds.spatial_ref.crs_wkt == rst.crs.to_wkt()
+
+        # Check that the arrays are equal in NaN type
+        assert np.array_equal(rst.data.data, ds.data)
+
+
     @pytest.mark.parametrize("nodata_init", [None, "type_default"])  # type: ignore
     @pytest.mark.parametrize(
         "dtype", ["uint8", "int8", "uint16", "int16", "uint32", "int32", "float32", "float64", "longdouble"]
@@ -516,6 +590,10 @@ def test_downsampling(self) -> None:
         # One pixel right and down
         assert r.xy2ij(r.bounds.left + r.res[0], r.bounds.top - r.res[1]) == (1, 1)
 
+        # Check that error is raised when downsampling value is not valid
+        with pytest.raises(TypeError, match="downsample must be of type int or float."):
+            gu.Raster(self.landsat_b4_path, downsample=[1, 1]) # type: ignore
+
     def test_add_sub(self) -> None:
         """
         Test addition, subtraction and negation on a Raster object.
@@ -1901,10 +1979,14 @@ def test_default_nodata(self) -> None:
             assert _default_nodata(dtype) == -99999
 
         # Check that an error is raised for other types
-        expected_message = "No default nodata value set for dtype"
+        expected_message = "No default nodata value set for dtype."
         with pytest.raises(NotImplementedError, match=expected_message):
             _default_nodata("bla")
 
+        # Check that an error is raised for a wrong type
+        with pytest.raises(TypeError, match="dtype 1 not understood."):
+            _default_nodata(1) # type: ignore
+
     def test_astype(self) -> None:
         warnings.simplefilter("error")
 
@@ -2136,6 +2218,10 @@ def test_from_array(self) -> None:
         out_img = gu.Raster.from_array(img.data, img.transform, img.crs, nodata=0)
         assert out_img.data.mask[0, 0, 0]
 
+        # Check that error is raised if the transform is not affine
+        with pytest.raises(TypeError, match="The transform argument needs to be Affine or tuple."):
+            gu.Raster.from_array(data=img.data, transform="lol", crs=None, nodata=None) # type: ignore
+
     def test_type_hints(self) -> None:
         """Test that pylint doesn't raise errors on valid code."""
         # Create a temporary directory and a temporary filename

From a283e8ebebf75cec6cd232b5f9a8ec9fda010f03 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 16:57:50 -0800
Subject: [PATCH 096/184] Linting

---
 geoutils/georaster/raster.py | 10 ++++++----
 tests/test_georaster.py      | 26 +++++++++++++++-----------
 2 files changed, 21 insertions(+), 15 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index b621b7a94..74d934ef7 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -44,8 +44,8 @@
     from typing_extensions import Literal  # type: ignore
 
 try:
-    import xarray as xr
     import rioxarray
+    import xarray as xr
 
     _has_rioxarray = True
 except ImportError:
@@ -492,7 +492,9 @@ def load(self, indexes: None | int | list[int] = None, **kwargs: Any) -> None:
             raise ValueError("Data are already loaded.")
 
         if self.filename is None:
-            raise AttributeError("Cannot load as filename is not set anymore. Did you manually update the filename attribute?")
+            raise AttributeError(
+                "Cannot load as filename is not set anymore. Did you manually update the filename attribute?"
+            )
 
         # If no index is passed, use all of them
         if indexes is None:
@@ -505,8 +507,8 @@ def load(self, indexes: None | int | list[int] = None, **kwargs: Any) -> None:
             else:
                 valid_indexes = tuple(indexes)
             # Update out_shape
-            self._out_shape = (len(valid_indexes), self._out_shape[1], self._out_shape[2])
-
+            if self._out_shape is not None:
+                self._out_shape = (len(valid_indexes), self._out_shape[1], self._out_shape[2])
 
         # Save which indexes are loaded
         self._indexes_loaded = valid_indexes
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 009c3aa3c..3a6bfc21c 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -15,7 +15,6 @@
 import pytest
 import rasterio as rio
 import xarray as xr
-import rioxarray as rioxr
 from pylint import epylint
 
 import geoutils as gu
@@ -127,10 +126,14 @@ def test_init(self, example: str) -> None:
         assert np.ma.isMaskedArray(gu.Raster(example, masked=False).data)
 
         # Check that an error is raised when instantiating with an array
-        with pytest.raises(TypeError, match="The filename is an array, did you mean to call Raster.from_array(...) instead?"):
-            gu.Raster(np.ones(size=(1,1))) # type: ignore
-        with pytest.raises(TypeError, match="The filename argument is not recognised, should be a path or a Rasterio dataset."):
-            gu.Raster(1) # type: ignore
+        with pytest.raises(
+            TypeError, match="The filename is an array, did you mean to call Raster.from_array(...) instead?"
+        ):
+            gu.Raster(np.ones(size=(1, 1)))  # type: ignore
+        with pytest.raises(
+            TypeError, match="The filename argument is not recognised, should be a path or a Rasterio dataset."
+        ):
+            gu.Raster(1)  # type: ignore
 
     @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])  # type: ignore
     def test_info(self, example: str) -> None:
@@ -292,8 +295,10 @@ def test_load(self) -> None:
         # Check that errors are raised when appropriate
         with pytest.raises(ValueError, match="Data are already loaded."):
             r.load()
-        with pytest.raises(AttributeError, match="Cannot load as filename is not set anymore. "
-                                             "Did you manually update the filename attribute?"):
+        with pytest.raises(
+            AttributeError,
+            match="Cannot load as filename is not set anymore. " "Did you manually update the filename attribute?",
+        ):
             r = gu.Raster(self.landsat_b4_path)
             r.filename = None
             r.load()
@@ -350,7 +355,6 @@ def test_to_xarray(self, example: str):
         # Check that the arrays are equal in NaN type
         assert np.array_equal(rst.data.data, ds.data)
 
-
     @pytest.mark.parametrize("nodata_init", [None, "type_default"])  # type: ignore
     @pytest.mark.parametrize(
         "dtype", ["uint8", "int8", "uint16", "int16", "uint32", "int32", "float32", "float64", "longdouble"]
@@ -592,7 +596,7 @@ def test_downsampling(self) -> None:
 
         # Check that error is raised when downsampling value is not valid
         with pytest.raises(TypeError, match="downsample must be of type int or float."):
-            gu.Raster(self.landsat_b4_path, downsample=[1, 1]) # type: ignore
+            gu.Raster(self.landsat_b4_path, downsample=[1, 1])  # type: ignore
 
     def test_add_sub(self) -> None:
         """
@@ -1985,7 +1989,7 @@ def test_default_nodata(self) -> None:
 
         # Check that an error is raised for a wrong type
         with pytest.raises(TypeError, match="dtype 1 not understood."):
-            _default_nodata(1) # type: ignore
+            _default_nodata(1)  # type: ignore
 
     def test_astype(self) -> None:
         warnings.simplefilter("error")
@@ -2220,7 +2224,7 @@ def test_from_array(self) -> None:
 
         # Check that error is raised if the transform is not affine
         with pytest.raises(TypeError, match="The transform argument needs to be Affine or tuple."):
-            gu.Raster.from_array(data=img.data, transform="lol", crs=None, nodata=None) # type: ignore
+            gu.Raster.from_array(data=img.data, transform="lol", crs=None, nodata=None)  # type: ignore
 
     def test_type_hints(self) -> None:
         """Test that pylint doesn't raise errors on valid code."""

From ece179e394e612afd6142b89f902df0ce625e37c Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 17:00:46 -0800
Subject: [PATCH 097/184] Fix test_init

---
 tests/test_georaster.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 3a6bfc21c..3d251a712 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -127,9 +127,9 @@ def test_init(self, example: str) -> None:
 
         # Check that an error is raised when instantiating with an array
         with pytest.raises(
-            TypeError, match="The filename is an array, did you mean to call Raster.from_array(...) instead?"
-        ):
-            gu.Raster(np.ones(size=(1, 1)))  # type: ignore
+            TypeError, match=re.escape("The filename is an array, did you mean to call Raster.from_array(...) instead?"
+        )):
+            gu.Raster(np.ones(shape=(1, 1)))  # type: ignore
         with pytest.raises(
             TypeError, match="The filename argument is not recognised, should be a path or a Rasterio dataset."
         ):

From a3bd710a85fcdb58f62a7cab5e1e9dd80c74888e Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 17:01:50 -0800
Subject: [PATCH 098/184] Linting

---
 tests/test_georaster.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 3d251a712..b397d29ca 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -127,8 +127,8 @@ def test_init(self, example: str) -> None:
 
         # Check that an error is raised when instantiating with an array
         with pytest.raises(
-            TypeError, match=re.escape("The filename is an array, did you mean to call Raster.from_array(...) instead?"
-        )):
+            TypeError, match=re.escape("The filename is an array, did you mean to call Raster.from_array(...) instead?")
+        ):
             gu.Raster(np.ones(shape=(1, 1)))  # type: ignore
         with pytest.raises(
             TypeError, match="The filename argument is not recognised, should be a path or a Rasterio dataset."

From 0d3d19d97dbb4f4f3241721a390d9bee2201def9 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 17:43:44 -0800
Subject: [PATCH 099/184] Add tests for diff_yml

---
 geoutils/misc.py        |  7 +++++--
 tests/test_georaster.py | 22 ++++++++++++++++++++++
 tests/test_misc.py      | 29 +++++++++++++++++++++++++++++
 3 files changed, 56 insertions(+), 2 deletions(-)

diff --git a/geoutils/misc.py b/geoutils/misc.py
index 0f367eff3..9ddb84b7d 100644
--- a/geoutils/misc.py
+++ b/geoutils/misc.py
@@ -4,6 +4,7 @@
 import functools
 import warnings
 from typing import Any
+import copy
 
 try:
     import yaml  # type: ignore
@@ -111,8 +112,10 @@ def diff_environment_yml(
         yaml_env = yaml.safe_load(open(fn_env))  # type: ignore
         yaml_devenv = yaml.safe_load(open(fn_devenv))  # type: ignore
     else:
-        yaml_env = fn_env
-        yaml_devenv = fn_devenv
+        # We need a copy as we'll pop things out and don't want to affect input
+        # dict.copy() is shallow and does not work with embedded list in dicts (as is the case here)
+        yaml_env = copy.deepcopy(fn_env)
+        yaml_devenv = copy.deepcopy(fn_devenv)
 
     # Extract the dependencies values
     conda_dep_env = yaml_env["dependencies"]
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index b397d29ca..68798d345 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -135,6 +135,28 @@ def test_init(self, example: str) -> None:
         ):
             gu.Raster(1)  # type: ignore
 
+    @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])  # type: ignore
+    def test_repr_str(self, example: str) -> None:
+        """Test the representation of a raster works"""
+
+        # For data not loaded by default
+        r = gu.Raster(example)
+
+        r_repr = r.__repr__()
+        r_str = r.__str__()
+
+        assert r_str == "not_loaded"
+        assert r_repr.split("data=")[1][:10] == "not_loaded"
+
+        # With data loaded
+        r.load()
+
+        r_repr = r.__repr__()
+        r_str = r.__str__()
+
+        assert r_str == r.data.__str__()
+        assert r_repr.split("data=")[1][:10] != "not_loaded"
+
     @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])  # type: ignore
     def test_info(self, example: str) -> None:
         """Test that the information summary is consistent with that of rasterio"""
diff --git a/tests/test_misc.py b/tests/test_misc.py
index 0e701c733..ff2ceaeae 100644
--- a/tests/test_misc.py
+++ b/tests/test_misc.py
@@ -130,3 +130,32 @@ def test_diff_environment_yml(self, capsys) -> None:  # type: ignore
         captured = capsys.readouterr().out
 
         assert captured == "opencv\ngeoutils\n"
+
+        # This should print only pip
+        geoutils.misc.diff_environment_yml(env2, devenv2, input_dict=True, print_dep="pip")
+        captured = capsys.readouterr().out
+
+        assert captured == "geoutils\n"
+
+        # This should raise an error because print_dep is not well defined
+        with pytest.raises(ValueError, match='The argument "print_dep" can only be "conda", "pip" or "both".'):
+            geoutils.misc.diff_environment_yml(env2, devenv2, input_dict=True, print_dep="lol")
+
+        # When the dependencies are not defined in dev-env but in env, it should raise an error
+        # For normal dependencies
+        env3 = {"dependencies": ["python==3.9", "numpy", "fiona", "lol"]}
+        devenv3 = {"dependencies": ["python==3.9", "numpy", "fiona", "opencv", {"pip": ["geoutils"]}]}
+        with pytest.raises(ValueError, match="The following dependencies are listed in env but not dev-env: lol"):
+            geoutils.misc.diff_environment_yml(env3, devenv3, input_dict=True, print_dep="pip")
+
+        # For pip dependencies
+        env4 = {"dependencies": ["python==3.9", "numpy", "fiona", {"pip":  ["lol"]}]}
+        devenv4 = {"dependencies": ["python==3.9", "numpy", "fiona", "opencv", {"pip": ["geoutils"]}]}
+        with pytest.raises(ValueError, match="The following pip dependencies are listed in env but not dev-env: lol"):
+            geoutils.misc.diff_environment_yml(env4, devenv4, input_dict=True, print_dep="pip")
+
+
+
+
+
+

From a77c074a9dc20d672c281a04dde73019f7d64dc4 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 18:43:03 -0800
Subject: [PATCH 100/184] Add tests for mask overloaded functions and logical
 bitwise operations

---
 geoutils/georaster/raster.py |  42 ++++++--
 tests/test_georaster.py      | 187 ++++++++++++++++++++++++++++++++++-
 tests/test_misc.py           |   3 +-
 3 files changed, 222 insertions(+), 10 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 74d934ef7..6ae673080 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -3080,7 +3080,7 @@ def reproject(
         dst_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
         src_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
         dst_dtype: np.dtype | None = None,
-        resampling: Resampling | str = Resampling.bilinear,
+        resampling: Resampling | str = Resampling.nearest,
         silent: bool = False,
         n_threads: int = 0,
         memory_limit: int = 64,
@@ -3090,6 +3090,8 @@ def reproject(
         if resampling in [Resampling.nearest, "nearest"]:
             self.data = self.data.astype("uint8")
         else:
+            warnings.warn("Reprojecting a mask with a resampling method other than 'nearest', "
+                          "the boolean array will be converted to float during interpolation.")
             self.data = self.data.astype("float32")
 
         # Call Raster.reproject()
@@ -3216,26 +3218,50 @@ def proximity(
             distance_unit=distance_unit,
         )
 
-    # Logical bitwise operations
-    def __and__(self: Mask, other: Mask) -> Mask:
+
+    def __and__(self: Mask, other: Mask | np.ndarray) -> Mask:
+        """Bitwise and between masks, or a mask and an array."""
+        self_data, other_data = self._overloading_check(other)[0:2]
 
         return self.from_array(
-            data=(self.data & other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
+            data=(self_data & other_data), transform=self.transform, crs=self.crs, nodata=self.nodata
         )
 
-    def __or__(self: Mask, other: Mask) -> Mask:
+    def __rand__(self: Mask, other: Mask | np.ndarray) -> Mask:
+        """Bitwise and between masks, or a mask and an array."""
+
+        return self.__and__(other)
+
+    def __or__(self: Mask, other: Mask | np.ndarray) -> Mask:
+        """Bitwise or between masks, or a mask and an array."""
+
+        self_data, other_data = self._overloading_check(other)[0:2]
 
         return self.from_array(
-            data=(self.data | other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
+            data=(self_data | other_data), transform=self.transform, crs=self.crs, nodata=self.nodata
         )
 
-    def __xor__(self: Mask, other: Mask) -> Mask:
+    def __ror__(self: Mask, other: Mask | np.ndarray) -> Mask:
+        """Bitwise or between masks, or a mask and an array."""
+
+        return self.__or__(other)
+
+    def __xor__(self: Mask, other: Mask | np.ndarray) -> Mask:
+        """Bitwise xor between masks, or a mask and an array."""
+
+        self_data, other_data = self._overloading_check(other)[0:2]
 
         return self.from_array(
-            data=(self.data ^ other.data), transform=self.transform, crs=self.crs, nodata=self.nodata
+            data=(self_data ^ other_data), transform=self.transform, crs=self.crs, nodata=self.nodata
         )
 
+    def __rxor__(self: Mask, other: Mask | np.ndarray) -> Mask:
+        """Bitwise xor between masks, or a mask and an array."""
+
+        return self.__xor__(other)
+
     def __invert__(self: Mask) -> Mask:
+        """Bitwise inversion of a mask."""
 
         return self.from_array(data=~self.data, transform=self.transform, crs=self.crs, nodata=self.nodata)
 
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 68798d345..f1e4d9d28 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -145,6 +145,13 @@ def test_repr_str(self, example: str) -> None:
         r_repr = r.__repr__()
         r_str = r.__str__()
 
+        # Check that the class is printed correctly
+        assert r_repr[0:6] == "Raster"
+
+        # Check that all main attribute names are printed
+        attrs_shown = ["data", "transform", "crs", "nodata"]
+        assert all([attr+"=" in r_repr for attr in attrs_shown])
+
         assert r_str == "not_loaded"
         assert r_repr.split("data=")[1][:10] == "not_loaded"
 
@@ -2541,7 +2548,7 @@ def test_to_points(self) -> None:
 
 
 class TestMask:
-    # Real data
+    # Paths to example data
     landsat_b4_path = examples.get_path("everest_landsat_b4")
     landsat_b4_crop_path = examples.get_path("everest_landsat_b4_cropped")
     landsat_rgb_path = examples.get_path("everest_landsat_rgb")
@@ -2557,6 +2564,11 @@ class TestMask:
     arr_mask = np.random.randint(0, 2, size=(1, width, height), dtype=bool)
     mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
 
+    # Mask without nodata
+    mask_landsat_b4 = gu.Raster(landsat_b4_path) > 125
+    # Mask with nodata
+    mask_aster_dem = gu.Raster(aster_dem_path) > 2000
+
     @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])  # type: ignore
     def test_init(self, example: str) -> None:
         """Test that Mask subclass initialization function as intended."""
@@ -2585,6 +2597,38 @@ def test_init(self, example: str) -> None:
         mask2 = gu.Mask(mask)
         assert mask.raster_equal(mask2)
 
+    @pytest.mark.parametrize("example", [landsat_b4_path, landsat_rgb_path, aster_dem_path])  # type: ignore
+    def test_repr_str(self, example: str) -> None:
+        """Test the representation of a raster works"""
+
+        # For data not loaded by default
+        r = gu.Mask(example)
+
+        r_repr = r.__repr__()
+        r_str = r.__str__()
+
+        # Check that the class is printed correctly
+        assert r_repr[0:6] == "Mask"
+
+        # Check that all main attribute names are printed
+        attrs_shown = ["data", "transform", "crs"]
+        assert all([attr + "=" in r_repr for attr in attrs_shown])
+
+        # Check nodata is removed
+        assert "nodata=" not in r_repr
+
+        assert r_str == "not_loaded"
+        assert r_repr.split("data=")[1][:10] == "not_loaded"
+
+        # With data loaded
+        r.load()
+
+        r_repr = r.__repr__()
+        r_str = r.__str__()
+
+        assert r_str == r.data.__str__()
+        assert r_repr.split("data=")[1][:10] != "not_loaded"
+
     def test_from_array(self) -> None:
         """Test that Raster.__init__ casts to Mask with dict input of from_array() and a boolean data array."""
 
@@ -2667,6 +2711,121 @@ def test_implicit_logical_casting_real(self, example: str) -> None:
         assert np.array_equal(mask.data.mask, rst.data.mask)
 
 
+    @pytest.mark.parametrize("mask", [mask_landsat_b4, mask_aster_dem])  # type: ignore
+    def test_reproject(self, mask: gu.Mask) -> None:
+
+        # Test 1: with a classic resampling (bilinear)
+
+        # Reproject mask
+        mask_reproj = mask.reproject()
+
+        # Check instance is respected
+        assert isinstance(mask_reproj, gu.Mask)
+
+        # This should be equivalent to converting the array to uint8, reprojecting, converting back
+        mask_uint8 = mask.astype("uint8")
+        mask_uint8_reproj = mask_uint8.reproject()
+        mask_uint8_reproj.data = mask_uint8_reproj.data.astype("bool")
+
+        assert mask_reproj.raster_equal(mask_uint8_reproj)
+
+        # Test 2: should raise a warning when the resampling differs from nearest
+
+        with pytest.warns(UserWarning, match="Reprojecting a mask with a resampling method other than 'nearest', "
+                                             "the boolean array will be converted to float during interpolation."):
+            mask.reproject(resampling="bilinear")
+
+    @pytest.mark.parametrize("mask", [mask_landsat_b4, mask_aster_dem])  # type: ignore
+    def test_crop(self, mask: gu.Mask) -> None:
+
+
+        # Test with same bounds -> should be the same #
+        crop_geom = mask.bounds
+        mask_cropped = mask.crop(crop_geom, inplace=False)
+        assert mask_cropped.raster_equal(mask)
+
+        # Check if instance is respected
+        assert isinstance(mask_cropped, gu.Mask)
+
+        # Test with bracket call
+        mask_cropped_getitem = mask[crop_geom]
+        assert mask_cropped_getitem.raster_equal(mask_cropped)
+
+        # - Test cropping each side by a random integer of pixels - #
+        rand_int = np.random.randint(1, min(mask.shape) - 1)
+
+        # Left
+        crop_geom2 = [crop_geom[0] + rand_int * mask.res[0], crop_geom[1], crop_geom[2], crop_geom[3]]
+        mask_cropped = mask.crop(crop_geom2, inplace=False)
+        assert list(mask_cropped.bounds) == crop_geom2
+        assert np.array_equal(mask.data[:, :, rand_int:].data, mask_cropped.data.data, equal_nan=True)
+        assert np.array_equal(mask.data[:, :, rand_int:].mask, mask_cropped.data.mask)
+
+        # Right
+        crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2] - rand_int * mask.res[0], crop_geom[3]]
+        mask_cropped = mask.crop(crop_geom2, inplace=False)
+        assert list(mask_cropped.bounds) == crop_geom2
+        assert np.array_equal(mask.data[:, :, :-rand_int].data, mask_cropped.data.data, equal_nan=True)
+        assert np.array_equal(mask.data[:, :, :-rand_int].mask, mask_cropped.data.mask)
+
+        # Bottom
+        crop_geom2 = [crop_geom[0], crop_geom[1] + rand_int * abs(mask.res[1]), crop_geom[2], crop_geom[3]]
+        mask_cropped = mask.crop(crop_geom2, inplace=False)
+        assert list(mask_cropped.bounds) == crop_geom2
+        assert np.array_equal(mask.data[:, :-rand_int, :].data, mask_cropped.data.data, equal_nan=True)
+        assert np.array_equal(mask.data[:, :-rand_int, :].mask, mask_cropped.data.mask)
+
+        # Top
+        crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2], crop_geom[3] - rand_int * abs(mask.res[1])]
+        mask_cropped = mask.crop(crop_geom2, inplace=False)
+        assert list(mask_cropped.bounds) == crop_geom2
+        assert np.array_equal(mask.data[:, rand_int:, :].data, mask_cropped.data, equal_nan=True)
+        assert np.array_equal(mask.data[:, rand_int:, :].mask, mask_cropped.data.mask)
+
+        # Test inplace
+        mask_orig = mask.copy()
+        mask.crop(crop_geom2)
+        assert list(mask.bounds) == crop_geom2
+        assert np.array_equal(mask.data[:, rand_int:, :].data, mask_orig.data, equal_nan=True)
+        assert np.array_equal(mask.data[:, rand_int:, :].mask, mask_orig.data.mask)
+
+        # Run with match_extent, check that inplace or not yields the same result
+        mask_cropped = mask.crop(crop_geom2, inplace=False, mode="match_extent")
+        mask_orig.crop(crop_geom2, mode="match_extent")
+        assert mask_cropped.raster_equal(mask_orig)
+
+    @pytest.mark.parametrize("mask", [mask_landsat_b4, mask_aster_dem])  # type: ignore
+    def test_polygonize(self, mask: gu.Mask) -> None:
+
+        # Run default
+        vect = mask.polygonize()
+
+        # Check the output is cast into a vector
+        assert isinstance(vect, gu.Vector)
+
+        # Run with zero as target
+        vect = mask.polygonize(target_values=0)
+        assert isinstance(vect, gu.Vector)
+
+        # Check a warning is raised when using a non-boolean value
+        with pytest.warns(UserWarning, match="In-value converted to 1 for polygonizing boolean mask."):
+            mask.polygonize(target_values=2)
+
+
+    @pytest.mark.parametrize("mask", [mask_landsat_b4, mask_aster_dem])  # type: ignore
+    def test_proximity(self, mask: gu.Mask) -> None:
+
+        # Run default
+        rast = mask.proximity()
+
+        # Check that output is cast back into a raster
+        assert isinstance(rast, gu.Raster)
+        # A mask is a raster, so also need to check this
+        assert not isinstance(rast, gu.Mask)
+
+
+
+
 class TestArithmetic:
     """
     Test that all arithmetic overloading functions work as expected.
@@ -3155,6 +3314,32 @@ def test_ops_logical_implicit(self) -> None:
         assert (r2 >= array_2d).raster_equal(self.from_array(r2.data >= array_2d[np.newaxis, :, :], rst_ref=r1))
         assert (r1 >= floatval).raster_equal(self.from_array(r1.data >= floatval, rst_ref=r1))
 
+    def test_ops_logical_bitwise_implicit(self) -> None:
+
+        # Create two masks
+        r1 = self.r1
+        m1 = self.r1 > 128
+        m2 = self.r2 > 128
+        array_2d = np.random.randint(1, 255, (self.height, self.width)).astype("uint8") > 128
+
+        # Bitwise or
+        assert (m1 | m2).raster_equal(self.from_array(m1.data | m2.data, rst_ref=r1))
+        assert (m1 | array_2d).raster_equal(self.from_array(m1.data | array_2d, rst_ref=r1))
+        assert (array_2d | m1).raster_equal(self.from_array(array_2d | m1.data, rst_ref=r1))
+
+        # Bitwise and
+        assert (m1 & m2).raster_equal(self.from_array(m1.data & m2.data, rst_ref=r1))
+        assert (m1 & array_2d).raster_equal(self.from_array(m1.data & array_2d, rst_ref=r1))
+        assert (array_2d & m1).raster_equal(self.from_array(array_2d & m1.data, rst_ref=r1))
+
+        # Bitwise xor
+        assert (m1 ^ m2).raster_equal(self.from_array(m1.data ^ m2.data, rst_ref=r1))
+        assert (m1 ^ array_2d).raster_equal(self.from_array(m1.data ^ array_2d, rst_ref=r1))
+        assert (array_2d ^ m1).raster_equal(self.from_array(array_2d ^ m1.data, rst_ref=r1))
+
+        # Bitwise invert
+        assert (~m1).raster_equal(self.from_array(~m1.data, rst_ref=r1))
+
     @pytest.mark.parametrize("op", ops_2args)  # type: ignore
     def test_raise_errors(self, op: str) -> None:
         """
diff --git a/tests/test_misc.py b/tests/test_misc.py
index ff2ceaeae..70a5d31e2 100644
--- a/tests/test_misc.py
+++ b/tests/test_misc.py
@@ -124,8 +124,9 @@ def test_diff_environment_yml(self, capsys) -> None:  # type: ignore
         assert captured == "opencv\nNone\n"
 
         env2 = {"dependencies": ["python==3.9", "numpy", "fiona"]}
-        devenv2 = {"dependencies": ["python==3.9", "numpy", "fiona", "opencv", {"pip": ["geoutils"]}]}
+        devenv2 = {"dependencies": ["python==3.9", "numpy", "fiona", "opencv", {"pip": ["geoutils", "-e ./"]}]}
 
+        # The diff function should not account for -e ./ that is the local install for developers
         geoutils.misc.diff_environment_yml(env2, devenv2, input_dict=True, print_dep="both")
         captured = capsys.readouterr().out
 

From dc0760ac14545ea0f890d0c9ae2726de2d2f1407 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 18:45:05 -0800
Subject: [PATCH 101/184] Linting

---
 geoutils/georaster/raster.py |  7 ++++---
 geoutils/misc.py             |  2 +-
 tests/test_georaster.py      | 16 +++++++---------
 tests/test_misc.py           |  8 +-------
 4 files changed, 13 insertions(+), 20 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 6ae673080..3ad0846fa 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -3090,8 +3090,10 @@ def reproject(
         if resampling in [Resampling.nearest, "nearest"]:
             self.data = self.data.astype("uint8")
         else:
-            warnings.warn("Reprojecting a mask with a resampling method other than 'nearest', "
-                          "the boolean array will be converted to float during interpolation.")
+            warnings.warn(
+                "Reprojecting a mask with a resampling method other than 'nearest', "
+                "the boolean array will be converted to float during interpolation."
+            )
             self.data = self.data.astype("float32")
 
         # Call Raster.reproject()
@@ -3218,7 +3220,6 @@ def proximity(
             distance_unit=distance_unit,
         )
 
-
     def __and__(self: Mask, other: Mask | np.ndarray) -> Mask:
         """Bitwise and between masks, or a mask and an array."""
         self_data, other_data = self._overloading_check(other)[0:2]
diff --git a/geoutils/misc.py b/geoutils/misc.py
index 9ddb84b7d..5202c36f8 100644
--- a/geoutils/misc.py
+++ b/geoutils/misc.py
@@ -1,10 +1,10 @@
 """Miscellaneous functions, mainly for testing."""
 from __future__ import annotations
 
+import copy
 import functools
 import warnings
 from typing import Any
-import copy
 
 try:
     import yaml  # type: ignore
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index f1e4d9d28..8b723ebf2 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -150,7 +150,7 @@ def test_repr_str(self, example: str) -> None:
 
         # Check that all main attribute names are printed
         attrs_shown = ["data", "transform", "crs", "nodata"]
-        assert all([attr+"=" in r_repr for attr in attrs_shown])
+        assert all(attr + "=" in r_repr for attr in attrs_shown)
 
         assert r_str == "not_loaded"
         assert r_repr.split("data=")[1][:10] == "not_loaded"
@@ -2612,7 +2612,7 @@ def test_repr_str(self, example: str) -> None:
 
         # Check that all main attribute names are printed
         attrs_shown = ["data", "transform", "crs"]
-        assert all([attr + "=" in r_repr for attr in attrs_shown])
+        assert all(attr + "=" in r_repr for attr in attrs_shown)
 
         # Check nodata is removed
         assert "nodata=" not in r_repr
@@ -2710,7 +2710,6 @@ def test_implicit_logical_casting_real(self, example: str) -> None:
         assert np.array_equal(mask.data.data, rst.data.data >= 1)
         assert np.array_equal(mask.data.mask, rst.data.mask)
 
-
     @pytest.mark.parametrize("mask", [mask_landsat_b4, mask_aster_dem])  # type: ignore
     def test_reproject(self, mask: gu.Mask) -> None:
 
@@ -2731,14 +2730,16 @@ def test_reproject(self, mask: gu.Mask) -> None:
 
         # Test 2: should raise a warning when the resampling differs from nearest
 
-        with pytest.warns(UserWarning, match="Reprojecting a mask with a resampling method other than 'nearest', "
-                                             "the boolean array will be converted to float during interpolation."):
+        with pytest.warns(
+            UserWarning,
+            match="Reprojecting a mask with a resampling method other than 'nearest', "
+            "the boolean array will be converted to float during interpolation.",
+        ):
             mask.reproject(resampling="bilinear")
 
     @pytest.mark.parametrize("mask", [mask_landsat_b4, mask_aster_dem])  # type: ignore
     def test_crop(self, mask: gu.Mask) -> None:
 
-
         # Test with same bounds -> should be the same #
         crop_geom = mask.bounds
         mask_cropped = mask.crop(crop_geom, inplace=False)
@@ -2811,7 +2812,6 @@ def test_polygonize(self, mask: gu.Mask) -> None:
         with pytest.warns(UserWarning, match="In-value converted to 1 for polygonizing boolean mask."):
             mask.polygonize(target_values=2)
 
-
     @pytest.mark.parametrize("mask", [mask_landsat_b4, mask_aster_dem])  # type: ignore
     def test_proximity(self, mask: gu.Mask) -> None:
 
@@ -2824,8 +2824,6 @@ def test_proximity(self, mask: gu.Mask) -> None:
         assert not isinstance(rast, gu.Mask)
 
 
-
-
 class TestArithmetic:
     """
     Test that all arithmetic overloading functions work as expected.
diff --git a/tests/test_misc.py b/tests/test_misc.py
index 70a5d31e2..afb146466 100644
--- a/tests/test_misc.py
+++ b/tests/test_misc.py
@@ -150,13 +150,7 @@ def test_diff_environment_yml(self, capsys) -> None:  # type: ignore
             geoutils.misc.diff_environment_yml(env3, devenv3, input_dict=True, print_dep="pip")
 
         # For pip dependencies
-        env4 = {"dependencies": ["python==3.9", "numpy", "fiona", {"pip":  ["lol"]}]}
+        env4 = {"dependencies": ["python==3.9", "numpy", "fiona", {"pip": ["lol"]}]}
         devenv4 = {"dependencies": ["python==3.9", "numpy", "fiona", "opencv", {"pip": ["geoutils"]}]}
         with pytest.raises(ValueError, match="The following pip dependencies are listed in env but not dev-env: lol"):
             geoutils.misc.diff_environment_yml(env4, devenv4, input_dict=True, print_dep="pip")
-
-
-
-
-
-

From 6cab5b3a2dbf21d49630792718ea5ffee14d460a Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 19:08:09 -0800
Subject: [PATCH 102/184] Fix mask class methods

---
 geoutils/georaster/raster.py | 26 ++++++++++++++------------
 tests/test_georaster.py      | 16 ++++++++++------
 2 files changed, 24 insertions(+), 18 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 3ad0846fa..2913c40d8 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -3088,13 +3088,13 @@ def reproject(
 
         # Depending on resampling, adjust to rasterio supported types
         if resampling in [Resampling.nearest, "nearest"]:
-            self.data = self.data.astype("uint8")
+            self._data = self.data.astype("uint8")
         else:
             warnings.warn(
                 "Reprojecting a mask with a resampling method other than 'nearest', "
                 "the boolean array will be converted to float during interpolation."
             )
-            self.data = self.data.astype("float32")
+            self._data = self.data.astype("float32")
 
         # Call Raster.reproject()
         output = super().reproject(
@@ -3113,7 +3113,7 @@ def reproject(
         )
 
         # Transform back to a boolean array
-        output.data = output.data.astype(bool)
+        output._data = output.data.astype(bool)
 
         return output
 
@@ -3157,20 +3157,22 @@ def crop(
 
         # If there is resampling involved during cropping, encapsulate type as in reproject()
         if mode == "match_extent":
-            self.data = self.data.astype("float32")
-            if inplace:
-                super().crop(crop_geom=crop_geom, mode=mode, inplace=inplace)
-                self.data = self.data.astype(bool)
-                return None
-            else:
-                output = super().crop(crop_geom=crop_geom, mode=mode, inplace=inplace)
-                output.data = output.data.astype(bool)
-                return output
+            raise ValueError(NotImplementedError)
+            # self._data = self.data.astype("float32")
+            # if inplace:
+            #     super().crop(crop_geom=crop_geom, mode=mode, inplace=inplace)
+            #     self._data = self.data.astype(bool)
+            #     return None
+            # else:
+            #     output = super().crop(crop_geom=crop_geom, mode=mode, inplace=inplace)
+            #     output._data = output.data.astype(bool)
+            #     return output
         # Otherwise, run a classic crop
         else:
             if not inplace:
                 return super().crop(crop_geom=crop_geom, mode=mode, inplace=inplace)
             else:
+                super().crop(crop_geom=crop_geom, mode=mode, inplace=inplace)
                 return None
 
     def polygonize(
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 8b723ebf2..cd6323374 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -2608,7 +2608,7 @@ def test_repr_str(self, example: str) -> None:
         r_str = r.__str__()
 
         # Check that the class is printed correctly
-        assert r_repr[0:6] == "Mask"
+        assert r_repr[0:4] == "Mask"
 
         # Check that all main attribute names are printed
         attrs_shown = ["data", "transform", "crs"]
@@ -2787,13 +2787,17 @@ def test_crop(self, mask: gu.Mask) -> None:
         mask_orig = mask.copy()
         mask.crop(crop_geom2)
         assert list(mask.bounds) == crop_geom2
-        assert np.array_equal(mask.data[:, rand_int:, :].data, mask_orig.data, equal_nan=True)
-        assert np.array_equal(mask.data[:, rand_int:, :].mask, mask_orig.data.mask)
+        assert np.array_equal(mask_orig.data[:, rand_int:, :].data, mask.data, equal_nan=True)
+        assert np.array_equal(mask_orig.data[:, rand_int:, :].mask, mask.data.mask)
 
         # Run with match_extent, check that inplace or not yields the same result
-        mask_cropped = mask.crop(crop_geom2, inplace=False, mode="match_extent")
-        mask_orig.crop(crop_geom2, mode="match_extent")
-        assert mask_cropped.raster_equal(mask_orig)
+
+        # TODO: Pretty sketchy with the current functioning of "match_extent",
+        #  should we just remove it from Raster.crop() ?
+
+        # mask_cropped = mask.crop(crop_geom2, inplace=False, mode="match_extent")
+        # mask_orig.crop(crop_geom2, mode="match_extent")
+        # assert mask_cropped.raster_equal(mask_orig)
 
     @pytest.mark.parametrize("mask", [mask_landsat_b4, mask_aster_dem])  # type: ignore
     def test_polygonize(self, mask: gu.Mask) -> None:

From df823d6f066142656befd40450e9e12d73ea7078 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 8 Mar 2023 19:23:12 -0800
Subject: [PATCH 103/184] Adjust repr test for mask

---
 tests/test_georaster.py | 10 ----------
 1 file changed, 10 deletions(-)

diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index cd6323374..c0b790641 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -2617,17 +2617,7 @@ def test_repr_str(self, example: str) -> None:
         # Check nodata is removed
         assert "nodata=" not in r_repr
 
-        assert r_str == "not_loaded"
-        assert r_repr.split("data=")[1][:10] == "not_loaded"
-
-        # With data loaded
-        r.load()
-
-        r_repr = r.__repr__()
-        r_str = r.__str__()
-
         assert r_str == r.data.__str__()
-        assert r_repr.split("data=")[1][:10] != "not_loaded"
 
     def test_from_array(self) -> None:
         """Test that Raster.__init__ casts to Mask with dict input of from_array() and a boolean data array."""

From c9ec2af3912c6aea00e88dc10d0488c8622f82a2 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 9 Mar 2023 15:27:09 -0800
Subject: [PATCH 104/184] Add more tests to spatial tools and georaster

---
 geoutils/georaster/raster.py |  12 ++--
 geoutils/spatial_tools.py    |  21 +++---
 tests/test_georaster.py      |  14 +++-
 tests/test_spatial_tools.py  | 122 +++++++++++++++++++++++++++++++++++
 4 files changed, 151 insertions(+), 18 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 2913c40d8..580ea9fff 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -1742,7 +1742,7 @@ def crop(
 
     def reproject(
         self: RasterType,
-        dst_ref: RasterType | rio.io.Dataset | str | None = None,
+        dst_ref: RasterType | str | None = None,
         dst_crs: CRS | str | int | None = None,
         dst_size: tuple[int, int] | None = None,
         dst_bounds: dict[str, float] | rio.coords.BoundingBox | None = None,
@@ -1767,7 +1767,7 @@ def reproject(
         for the full list.
 
         :param dst_ref: A reference raster. If set will use the attributes of this
-            raster for the output grid. Can be provided as Raster/rasterio data set or as path to the file.
+            raster for the output grid.
         :param dst_crs: Specify the Coordinate Reference System or EPSG to reproject to. If dst_ref not set,
             defaults to self.crs.
         :param dst_size: Raster size to write to (x, y). Do not use with dst_res.
@@ -1845,15 +1845,13 @@ def reproject(
             # Preferably use Raster instance to avoid rasterio data set to remain open. See PR #45
             if isinstance(dst_ref, Raster):
                 ds_ref = dst_ref
-            elif isinstance(dst_ref, rio.io.MemoryFile) or isinstance(dst_ref, rasterio.io.DatasetReader):
-                ds_ref = dst_ref
             elif isinstance(dst_ref, str):
                 if not os.path.exists(dst_ref):
                     raise ValueError("Reference raster does not exist.")
                 ds_ref = Raster(dst_ref, load_data=False)
             else:
                 raise TypeError(
-                    "Type of dst_ref not understood, must be path to file (str), Raster or rasterio data set."
+                    "Type of dst_ref not understood, must be path to file (str), Raster."
                 )
 
             # Read reprojecting params from ref raster
@@ -3303,7 +3301,7 @@ def proximity_from_vector_or_raster(
         # We create a geodataframe with the geometry type
         boundary_shp = gpd.GeoDataFrame(geometry=vector.ds.__getattr__(geometry_type), crs=vector.crs)
         # We mask the pixels that make up the geometry type
-        mask_boundary = Vector(boundary_shp).create_mask(raster).get_nanarray()
+        mask_boundary = Vector(boundary_shp).create_mask(raster, as_array=True)
 
     else:
         # We mask target pixels
@@ -3334,7 +3332,7 @@ def proximity_from_vector_or_raster(
         if in_or_out == "both":
             pass
         elif in_or_out in ["in", "out"]:
-            mask_polygon = Vector(vector.ds).create_mask(raster).get_nanarray()
+            mask_polygon = Vector(vector.ds).create_mask(raster, as_array=True)
             if in_or_out == "in":
                 proximity[~mask_polygon] = 0
             else:
diff --git a/geoutils/spatial_tools.py b/geoutils/spatial_tools.py
index 1bba8b299..ff133d528 100644
--- a/geoutils/spatial_tools.py
+++ b/geoutils/spatial_tools.py
@@ -481,26 +481,27 @@ def subdivide_array(shape: tuple[int, ...], count: int) -> np.ndarray:
 def get_xy_rotated(raster: Raster, along_track_angle: float) -> tuple[np.ndarray, np.ndarray]:
     """
     Rotate x, y axes of image to get along- and cross-track distances.
-    :param raster: raster to get x,y positions from.
-    :param along_track_angle: angle by which to rotate axes (degrees)
-    :returns xxr, yyr: arrays corresponding to along (x) and cross (y) track distances.
+    :param raster: Raster to get x,y positions from.
+    :param along_track_angle: Angle by which to rotate axes (degrees)
+
+    :returns xxr, yyr: Arrays corresponding to along (x) and cross (y) track distances.
     """
 
     myang = np.deg2rad(along_track_angle)
 
-    # get grid coordinates
+    # Get grid coordinates
     xx, yy = raster.coords(grid=True)
     xx -= np.min(xx)
     yy -= np.min(yy)
 
-    # get rotated coordinates
+    # Get rotated coordinates
 
-    # for along-track
-    xxr = np.multiply(xx, np.cos(myang)) + np.multiply(-1 * yy, np.sin(along_track_angle))
-    # for cross-track
-    yyr = np.multiply(xx, np.sin(myang)) + np.multiply(yy, np.cos(along_track_angle))
+    # For along-track
+    xxr = xx * np.cos(myang) - yy * np.sin(myang)
+    # For cross-track
+    yyr = xx * np.sin(myang) + yy * np.cos(myang)
 
-    # re-initialize coordinate at zero
+    # Re-initialize coordinate at zero
     xxr -= np.nanmin(xxr)
     yyr -= np.nanmin(yyr)
 
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index c0b790641..a81541084 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -1641,7 +1641,13 @@ def test_xy2ij_and_interp(self) -> None:
         x = 493120.0
         y = 3101000.0
         i, j = r.xy2ij(x, y)
-        assert img[0, int(i), int(j)] == r.interp_points([(x, y)], order=1)[0]
+        val = r.interp_points([(x, y)], order=1)[0]
+        assert img[0, int(i), int(j)] == val
+
+        # Finally, check that interp convert to latlon
+        lat, lon = gu.projtools.reproject_to_latlon((x,y), in_crs=r.crs)
+        val_latlon = r.interp_points([(lat, lon)], order=1, input_latlon=True)[0]
+        assert val == pytest.approx(val_latlon, abs=0.0001)
 
     def test_value_at_coords(self) -> None:
         """
@@ -2195,6 +2201,12 @@ def test_save(self, example: str) -> None:
             with pytest.warns(UserWarning):
                 img.save(TemporaryFile())
 
+        # Test with blank argument
+        img.save(temp_file.name, blank_value=0)
+        saved = gu.Raster(temp_file.name)
+
+        assert np.array_equal(saved.data.data, np.zeros(np.shape(saved.data)))
+
         # Clean up temporary folder - fails on Windows
         try:
             temp_dir.cleanup()
diff --git a/tests/test_spatial_tools.py b/tests/test_spatial_tools.py
index 73de92d62..81ffe4498 100644
--- a/tests/test_spatial_tools.py
+++ b/tests/test_spatial_tools.py
@@ -430,3 +430,125 @@ def test_subsample(self, array: np.ndarray) -> None:
         assert len(indices) == np.ndim(array)
         assert np.ndim(array[indices]) == 1
         assert np.size(array[indices]) == int(np.size(array) * 0.3)
+
+class TestRasterTools:
+
+    def test_get_valid_extent(self) -> None:
+        """Check the function to get valid extent."""
+
+        # Create an artificial array and masked array
+        arr = np.ones(shape=(5, 5))
+        arr_mask = np.zeros(shape=(5, 5), dtype=bool)
+        mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
+
+        # For no unvalid values, the function should return the edges
+        # For the array
+        assert (0, 4, 0, 4) == gu.spatial_tools.get_valid_extent(arr)
+        # For the masked-array
+        assert (0, 4, 0, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
+
+        # 1/ First column:
+        # If we mask it in the masked array
+        mask_ma[0, :] = np.ma.masked
+        assert (1, 4, 0, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
+
+        # If we changed the array to NaNs
+        arr[0, :] = np.nan
+        assert (1, 4, 0, 4) == gu.spatial_tools.get_valid_extent(arr)
+        mask_ma.data[0, :] = np.nan
+        mask_ma.mask = False
+        assert (1, 4, 0, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
+
+        # 2/ First row:
+        arr = np.ones(shape=(5, 5))
+        arr_mask = np.zeros(shape=(5, 5), dtype=bool)
+        mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
+        # If we mask it in the masked array
+        mask_ma[:, 0] = np.ma.masked
+        assert (0, 4, 1, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
+
+        # If we changed the array to NaNs
+        arr[:, 0] = np.nan
+        assert (0, 4, 1, 4) == gu.spatial_tools.get_valid_extent(arr)
+        mask_ma.data[:, 0] = np.nan
+        mask_ma.mask = False
+        assert (0, 4, 1, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
+
+        # 3/ Last column:
+        arr = np.ones(shape=(5, 5))
+        arr_mask = np.zeros(shape=(5, 5), dtype=bool)
+        mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
+
+        # If we mask it in the masked array
+        mask_ma[-1, :] = np.ma.masked
+        assert (0, 3, 0, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
+
+        # If we changed the array to NaNs
+        arr[-1, :] = np.nan
+        assert (0, 3, 0, 4) == gu.spatial_tools.get_valid_extent(arr)
+        mask_ma.data[-1, :] = np.nan
+        mask_ma.mask = False
+        assert (0, 3, 0, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
+
+        # 4/ Last row:
+        arr = np.ones(shape=(5, 5))
+        arr_mask = np.zeros(shape=(5, 5), dtype=bool)
+        mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
+
+        # If we mask it in the masked array
+        mask_ma[:, -1] = np.ma.masked
+        assert (0, 4, 0, 3) == gu.spatial_tools.get_valid_extent(mask_ma)
+
+        # If we changed the array to NaNs
+        arr[:, -1] = np.nan
+        assert (0, 4, 0, 3) == gu.spatial_tools.get_valid_extent(arr)
+        mask_ma.data[:, -1] = np.nan
+        mask_ma.mask = False
+        assert (0, 4, 0, 3) == gu.spatial_tools.get_valid_extent(mask_ma)
+
+
+    def test_get_xy_rotated(self):
+        """Check the function to rotate array."""
+
+        # Create an artificial raster
+        width = height = 5
+        transform = rio.transform.from_bounds(0, 0, 1, 1, width, height)
+        r1 = gu.Raster.from_array(np.random.randint(1, 255, (height, width), dtype="uint8"), transform=transform, crs=None)
+
+        # First, we get initial coords
+        xx, yy = r1.coords(grid=True)
+
+        # Rotating the coordinates 90 degrees should be the same as rotating the array
+        xx90, yy90 = gu.spatial_tools.get_xy_rotated(r1, along_track_angle=90)
+        assert np.allclose(np.rot90(xx90), xx)
+        assert np.allclose(np.rot90(yy90), yy)
+
+        # Same for 180 degrees
+        xx180, yy180 = gu.spatial_tools.get_xy_rotated(r1, along_track_angle=180)
+        assert np.allclose(np.rot90(xx180, k=2), xx)
+        assert np.allclose(np.rot90(yy180, k=2), yy)
+
+        # Same for 270 degrees
+        xx270, yy270 = gu.spatial_tools.get_xy_rotated(r1, along_track_angle=270)
+        assert np.allclose(np.rot90(xx270, k=3), xx)
+        assert np.allclose(np.rot90(yy270, k=3), yy)
+
+        # 360 degrees should get us back on our feet
+        xx360, yy360 = gu.spatial_tools.get_xy_rotated(r1, along_track_angle=360)
+        assert np.allclose(xx360, xx)
+        assert np.allclose(yy360, yy)
+
+        # Test that the values make sense for 45 degrees
+        xx45, yy45 = gu.spatial_tools.get_xy_rotated(r1, along_track_angle=45)
+        # Should have zero on the upper left corner for xx
+        assert xx45[0, 0] == pytest.approx(0)
+        # Then a multiple of sqrt2 along each dimension
+        assert xx45[1, 0] == pytest.approx(xx45[0, 1]) == pytest.approx(0.1 * np.sqrt(2))
+        # The lower right corner should have the highest coordinate (0.8) times sqrt(2)
+        assert xx45[-1, -1] == pytest.approx(np.max(xx) * np.sqrt(2))
+
+        # Finally, yy should be rotated by 90
+        assert np.allclose(np.rot90(xx45), yy45)
+
+
+        xx, yy = gu.spatial_tools.get_xy_rotated(r1, along_track_angle=90)

From fd9f4867e5bfb035a534cafce8cba5137d13c587 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 9 Mar 2023 16:54:11 -0800
Subject: [PATCH 105/184] Add tests for geoviewer

---
 geoutils/georaster/raster.py |  2 +-
 geoutils/geoviewer.py        | 24 ++++++++++-------------
 tests/test_geoviewer.py      | 38 ++++++++++++++++++++++++++++++++++++
 3 files changed, 49 insertions(+), 15 deletions(-)
 create mode 100644 tests/test_geoviewer.py

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 580ea9fff..8d79e3f05 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -2256,7 +2256,7 @@ def show(
         if index is None:
             index = np.arange(1, self.count + 1)
         elif isinstance(index, int):
-            if index >= self.count:
+            if index > self.count:
                 raise ValueError(f"Index must be in range 1-{self.count:d}")
             pass
         else:
diff --git a/geoutils/geoviewer.py b/geoutils/geoviewer.py
index 0d404fd81..db7248e26 100755
--- a/geoutils/geoviewer.py
+++ b/geoutils/geoviewer.py
@@ -10,7 +10,7 @@
 
 import argparse
 import sys
-from typing import Any
+import os
 
 import matplotlib.pyplot as plt
 import numpy as np
@@ -117,34 +117,31 @@ def getparser() -> argparse.Namespace:
         help="True or False, if False then allow dynamic image downscaling, if True, prevent it.",
     )
 
-    args = parser.parse_args()
+    return parser
 
-    return args
 
-
-def main() -> None:
+def main(args=None) -> None:
 
     # Parse arguments
-    args = getparser()
+    parser = getparser()
+    args = parser.parse_args(args)
 
     # Load image metadata #
     img = Raster(args.filename, load_data=False)
-    xmin, xmax, ymin, ymax = img.bounds
 
     # Resample if image is too large #
     if ((img.width > args.max_size) or (img.height > args.max_size)) & (not args.noresampl):
         dfact = max(int(img.width / args.max_size), int(img.height / args.max_size))
         print(f"Image will be downsampled by a factor {dfact}.")
-        new_shape: tuple[Any, ...] | None = (img.count, int(img.height / dfact), int(img.width / dfact))
     else:
-        new_shape = None
+        dfact = 1
 
     # Read image #
-    img.load(out_shape=new_shape)
+    img = Raster(args.filename, downsample=dfact)
 
     # Set no data value
     if args.nodata == "default":
-        nodata = img.nodata
+        pass
     else:
         try:
             nodata = float(args.nodata)
@@ -201,8 +198,7 @@ def main() -> None:
         figsize = plt.rcParams["figure.figsize"]
     else:
         try:
-            figsize = tuple(int(arg) for arg in args.figsize)
-            xfigsize, yfigsize = figsize
+            figsize = tuple(int(arg) for arg in args.figsize.split(","))
         except Exception as exception:
             print("ERROR: figsize must be a tuple of size 2, currently set to %s" % args.figsize)
             sys.stderr.write(str(exception))
@@ -225,7 +221,7 @@ def main() -> None:
     # plot
     img.show(
         ax=ax,
-        band=args.band,
+        index=args.band,
         cmap=cmap,
         interpolation="nearest",
         vmin=vmin,
diff --git a/tests/test_geoviewer.py b/tests/test_geoviewer.py
new file mode 100644
index 000000000..8825e4f5c
--- /dev/null
+++ b/tests/test_geoviewer.py
@@ -0,0 +1,38 @@
+from __future__ import annotations
+
+import os
+import pytest
+
+import matplotlib.pyplot as plt
+import geoutils.geoviewer as gv
+import geoutils as gu
+
+@pytest.mark.parametrize("filename", [gu.examples.get_path("everest_landsat_b4"),
+                                      gu.examples.get_path("exploradores_aster_dem")])
+@pytest.mark.parametrize("option",
+                         (("-cmap", "Reds"), ("-vmin", "-10", "-vmax", "10"),
+                          ("-band", "1"), ("-nocb", ), ("-clabel", "Test"),
+                          ("-figsize", "8,8"), ("-max_size", "1000"),
+                          ("-save", "test.png"), ("-dpi", "300"),
+                          ("-nodata", "99"), ("-noresampl", )))
+def test_geoviewer(capsys, monkeypatch, filename, option):
+
+    # To avoid having the plots popping up during execution
+    monkeypatch.setattr(plt, "show", lambda: None)
+
+    # To not get exception when testing generic functions such as --help
+    try:
+        gv.main([filename, *option])
+    except SystemExit:
+        pass
+
+    # Capture error output (not stdout, just a plot)
+    output = capsys.readouterr().err
+
+    # No error should be raised
+    assert output == ''
+
+    # Remove file if it was created
+    if option[0] == "-save":
+        if os.path.exists("test.png"):
+            os.remove("test.png")

From 47827d27f385273dd97973f99f65459c5fc798d8 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 9 Mar 2023 17:03:50 -0800
Subject: [PATCH 106/184] Linting

---
 geoutils/georaster/raster.py |  8 +++-----
 geoutils/geoviewer.py        | 18 +++++++++---------
 tests/test_georaster.py      |  2 +-
 tests/test_geoviewer.py      | 37 ++++++++++++++++++++++++------------
 tests/test_spatial_tools.py  | 12 ++++++------
 5 files changed, 44 insertions(+), 33 deletions(-)

diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 8d79e3f05..f5df0ab30 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -1850,9 +1850,7 @@ def reproject(
                     raise ValueError("Reference raster does not exist.")
                 ds_ref = Raster(dst_ref, load_data=False)
             else:
-                raise TypeError(
-                    "Type of dst_ref not understood, must be path to file (str), Raster."
-                )
+                raise TypeError("Type of dst_ref not understood, must be path to file (str), Raster.")
 
             # Read reprojecting params from ref raster
             dst_crs = ds_ref.crs
@@ -3070,7 +3068,7 @@ def _repr_html_(self) -> str:
 
     def reproject(
         self: Mask,
-        dst_ref: RasterType | rio.io.Dataset | str | None = None,
+        dst_ref: RasterType | str | None = None,
         dst_crs: CRS | str | int | None = None,
         dst_size: tuple[int, int] | None = None,
         dst_bounds: dict[str, float] | rio.coords.BoundingBox | None = None,
@@ -3096,7 +3094,7 @@ def reproject(
 
         # Call Raster.reproject()
         output = super().reproject(
-            dst_ref=dst_ref,
+            dst_ref=dst_ref,  # type: ignore
             dst_crs=dst_crs,
             dst_size=dst_size,
             dst_bounds=dst_bounds,
diff --git a/geoutils/geoviewer.py b/geoutils/geoviewer.py
index db7248e26..cf397ead1 100755
--- a/geoutils/geoviewer.py
+++ b/geoutils/geoviewer.py
@@ -10,7 +10,7 @@
 
 import argparse
 import sys
-import os
+from typing import Sequence
 
 import matplotlib.pyplot as plt
 import numpy as np
@@ -18,7 +18,7 @@
 from geoutils.georaster import Raster
 
 
-def getparser() -> argparse.Namespace:
+def getparser() -> argparse.ArgumentParser:
 
     # Set up description
     parser = argparse.ArgumentParser(description="Visualisation tool for any image supported by GDAL.")
@@ -120,23 +120,23 @@ def getparser() -> argparse.Namespace:
     return parser
 
 
-def main(args=None) -> None:
+def main(test_args: Sequence[str] | None = None) -> None:
 
     # Parse arguments
     parser = getparser()
-    args = parser.parse_args(args)
+    args = parser.parse_args(test_args)  # type: ignore
 
-    # Load image metadata #
+    # Load image metadata
     img = Raster(args.filename, load_data=False)
 
-    # Resample if image is too large #
+    # Resample if image is too large
     if ((img.width > args.max_size) or (img.height > args.max_size)) & (not args.noresampl):
         dfact = max(int(img.width / args.max_size), int(img.height / args.max_size))
         print(f"Image will be downsampled by a factor {dfact}.")
     else:
         dfact = 1
 
-    # Read image #
+    # Read image
     img = Raster(args.filename, downsample=dfact)
 
     # Set no data value
@@ -150,7 +150,7 @@ def main(args=None) -> None:
 
         img.set_nodata(nodata)
 
-    # Set default parameters #
+    # Set default parameters
 
     # vmin
     if args.vmin is not None:
@@ -213,7 +213,7 @@ def main(args=None) -> None:
         except ValueError:
             raise ValueError("ERROR: dpi must be an integer, currently set to %s" % args.dpi)
 
-    # Plot data #
+    # Plot data
 
     fig = plt.figure(figsize=figsize)
     ax = fig.add_subplot(111)
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index a81541084..099d7c6cc 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -1645,7 +1645,7 @@ def test_xy2ij_and_interp(self) -> None:
         assert img[0, int(i), int(j)] == val
 
         # Finally, check that interp convert to latlon
-        lat, lon = gu.projtools.reproject_to_latlon((x,y), in_crs=r.crs)
+        lat, lon = gu.projtools.reproject_to_latlon((x, y), in_crs=r.crs)
         val_latlon = r.interp_points([(lat, lon)], order=1, input_latlon=True)[0]
         assert val == pytest.approx(val_latlon, abs=0.0001)
 
diff --git a/tests/test_geoviewer.py b/tests/test_geoviewer.py
index 8825e4f5c..0c80e2280 100644
--- a/tests/test_geoviewer.py
+++ b/tests/test_geoviewer.py
@@ -1,21 +1,34 @@
 from __future__ import annotations
 
 import os
-import pytest
 
 import matplotlib.pyplot as plt
-import geoutils.geoviewer as gv
+import pytest
+
 import geoutils as gu
+import geoutils.geoviewer as gv
+
 
-@pytest.mark.parametrize("filename", [gu.examples.get_path("everest_landsat_b4"),
-                                      gu.examples.get_path("exploradores_aster_dem")])
-@pytest.mark.parametrize("option",
-                         (("-cmap", "Reds"), ("-vmin", "-10", "-vmax", "10"),
-                          ("-band", "1"), ("-nocb", ), ("-clabel", "Test"),
-                          ("-figsize", "8,8"), ("-max_size", "1000"),
-                          ("-save", "test.png"), ("-dpi", "300"),
-                          ("-nodata", "99"), ("-noresampl", )))
-def test_geoviewer(capsys, monkeypatch, filename, option):
+@pytest.mark.parametrize(
+    "filename", [gu.examples.get_path("everest_landsat_b4"), gu.examples.get_path("exploradores_aster_dem")]
+)  # type: ignore
+@pytest.mark.parametrize(
+    "option",
+    (
+        ("-cmap", "Reds"),
+        ("-vmin", "-10", "-vmax", "10"),
+        ("-band", "1"),
+        ("-nocb",),
+        ("-clabel", "Test"),
+        ("-figsize", "8,8"),
+        ("-max_size", "1000"),
+        ("-save", "test.png"),
+        ("-dpi", "300"),
+        ("-nodata", "99"),
+        ("-noresampl",),
+    ),
+)  # type: ignore
+def test_geoviewer(capsys, monkeypatch, filename, option):  # type: ignore
 
     # To avoid having the plots popping up during execution
     monkeypatch.setattr(plt, "show", lambda: None)
@@ -30,7 +43,7 @@ def test_geoviewer(capsys, monkeypatch, filename, option):
     output = capsys.readouterr().err
 
     # No error should be raised
-    assert output == ''
+    assert output == ""
 
     # Remove file if it was created
     if option[0] == "-save":
diff --git a/tests/test_spatial_tools.py b/tests/test_spatial_tools.py
index 81ffe4498..7d0ac3822 100644
--- a/tests/test_spatial_tools.py
+++ b/tests/test_spatial_tools.py
@@ -431,8 +431,8 @@ def test_subsample(self, array: np.ndarray) -> None:
         assert np.ndim(array[indices]) == 1
         assert np.size(array[indices]) == int(np.size(array) * 0.3)
 
-class TestRasterTools:
 
+class TestRasterTools:
     def test_get_valid_extent(self) -> None:
         """Check the function to get valid extent."""
 
@@ -441,7 +441,7 @@ def test_get_valid_extent(self) -> None:
         arr_mask = np.zeros(shape=(5, 5), dtype=bool)
         mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
 
-        # For no unvalid values, the function should return the edges
+        # For no invalid values, the function should return the edges
         # For the array
         assert (0, 4, 0, 4) == gu.spatial_tools.get_valid_extent(arr)
         # For the masked-array
@@ -506,14 +506,15 @@ def test_get_valid_extent(self) -> None:
         mask_ma.mask = False
         assert (0, 4, 0, 3) == gu.spatial_tools.get_valid_extent(mask_ma)
 
-
-    def test_get_xy_rotated(self):
+    def test_get_xy_rotated(self) -> None:
         """Check the function to rotate array."""
 
         # Create an artificial raster
         width = height = 5
         transform = rio.transform.from_bounds(0, 0, 1, 1, width, height)
-        r1 = gu.Raster.from_array(np.random.randint(1, 255, (height, width), dtype="uint8"), transform=transform, crs=None)
+        r1 = gu.Raster.from_array(
+            np.random.randint(1, 255, (height, width), dtype="uint8"), transform=transform, crs=None
+        )
 
         # First, we get initial coords
         xx, yy = r1.coords(grid=True)
@@ -550,5 +551,4 @@ def test_get_xy_rotated(self):
         # Finally, yy should be rotated by 90
         assert np.allclose(np.rot90(xx45), yy45)
 
-
         xx, yy = gu.spatial_tools.get_xy_rotated(r1, along_track_angle=90)

From 2aa785d808c44ee6e19fbd514a066609c6068ae1 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 9 Mar 2023 17:18:27 -0800
Subject: [PATCH 107/184] Add tests in satimg

---
 tests/test_satimg.py | 60 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 60 insertions(+)

diff --git a/tests/test_satimg.py b/tests/test_satimg.py
index 4217555c6..e9c0131b7 100644
--- a/tests/test_satimg.py
+++ b/tests/test_satimg.py
@@ -1,6 +1,7 @@
 """
 Test functions for SatelliteImage class
 """
+import datetime
 import datetime as dt
 import sys
 from io import StringIO
@@ -220,3 +221,62 @@ def test_sw_tile_naming_parsing(self) -> None:
         # same here
         assert gu.georaster.satimg.latlon_to_sw_naming((0, -180)) == "N00W180"
         assert gu.georaster.satimg.latlon_to_sw_naming((0, 180)) == "N00W180"
+
+    def test_parse_tile_attr_from_name(self) -> None:
+        """Test the parsing of tile attribute from tile name."""
+
+        # For ASTER, SRTM, NASADEM: 1x1 tiling globally
+        y, x, size, epsg = gu.georaster.satimg.parse_tile_attr_from_name(tile_name="N01W179", product="SRTMGL1")
+
+        assert y == 1
+        assert x == -179
+        assert size == (1, 1)
+        assert epsg == 4326
+
+        # For TanDEM-X: depends on latitude
+        # Mid-latitude is 2 x 1
+        y, x, size, epsg = gu.georaster.satimg.parse_tile_attr_from_name(tile_name="N62E04", product="TDM1")
+        assert y == 62
+        assert x == 4
+        assert size == (1, 2)
+        assert epsg == 4326
+
+        # Low-latitude is 1 x 1
+        y, x, size, epsg = gu.georaster.satimg.parse_tile_attr_from_name(tile_name="N52E04", product="TDM1")
+        assert y == 52
+        assert x == 4
+        assert size == (1, 1)
+        assert epsg == 4326
+
+        # High-latitude is 5 x 1
+        y, x, size, epsg = gu.georaster.satimg.parse_tile_attr_from_name(tile_name="N82E04", product="TDM1")
+        assert y == 82
+        assert x == 4
+        assert size == (1, 4)
+        assert epsg == 4326
+
+    def test_parse_landsat(self) -> None:
+        """Test the parsing of landsat metadata from name."""
+
+        # Landsat 1
+        landsat1 = "LM10170391976031AAA01.tif"
+        attrs1 = gu.georaster.satimg.parse_landsat(landsat1)
+
+        assert attrs1[0] == "Landsat 1"
+        assert attrs1[1] == "MSS"
+        assert attrs1[-1] == datetime.datetime(1976, 1, 31)
+
+         # Landsat 7 example
+        landsat7 = "LE71400412000304SGS00_B4.tif"
+        attrs7 = gu.georaster.satimg.parse_landsat(landsat7)
+
+        assert attrs7[0] == "Landsat 7"
+        assert attrs7[1] == "ETM+"
+        assert attrs7[-1] == datetime.datetime(2000, 10, 30)
+
+
+
+
+
+
+

From 531147f0a54e40776ba1231d805f79a0a241c2a5 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 9 Mar 2023 17:18:56 -0800
Subject: [PATCH 108/184] Linting

---
 tests/test_satimg.py | 9 +--------
 1 file changed, 1 insertion(+), 8 deletions(-)

diff --git a/tests/test_satimg.py b/tests/test_satimg.py
index e9c0131b7..a87004ffe 100644
--- a/tests/test_satimg.py
+++ b/tests/test_satimg.py
@@ -266,17 +266,10 @@ def test_parse_landsat(self) -> None:
         assert attrs1[1] == "MSS"
         assert attrs1[-1] == datetime.datetime(1976, 1, 31)
 
-         # Landsat 7 example
+        # Landsat 7 example
         landsat7 = "LE71400412000304SGS00_B4.tif"
         attrs7 = gu.georaster.satimg.parse_landsat(landsat7)
 
         assert attrs7[0] == "Landsat 7"
         assert attrs7[1] == "ETM+"
         assert attrs7[-1] == datetime.datetime(2000, 10, 30)
-
-
-
-
-
-
-

From 080f3c4ab8ddc8a2f8693e7c89c09829571e4707 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 9 Mar 2023 17:40:00 -0800
Subject: [PATCH 109/184] Homogenize errors and add tests for geoviewer

---
 geoutils/geoviewer.py   | 15 +++++----------
 tests/test_geoviewer.py | 26 +++++++++++++++++++++++++-
 2 files changed, 30 insertions(+), 11 deletions(-)

diff --git a/geoutils/geoviewer.py b/geoutils/geoviewer.py
index cf397ead1..9fa491258 100755
--- a/geoutils/geoviewer.py
+++ b/geoutils/geoviewer.py
@@ -146,7 +146,7 @@ def main(test_args: Sequence[str] | None = None) -> None:
         try:
             nodata = float(args.nodata)
         except ValueError:
-            raise ValueError("ERROR: nodata must be a float, currently set to %s" % args.nodata)
+            raise ValueError("Nodata must be a float, currently set to %s" % args.nodata)
 
         img.set_nodata(nodata)
 
@@ -188,10 +188,7 @@ def main(test_args: Sequence[str] | None = None) -> None:
     elif args.cmap in plt.cm.datad.keys():
         cmap = args.cmap
     else:
-        print("ERROR: cmap set to %s, must be in:" % args.cmap)
-        for i, elem in enumerate(plt.cm.datad.keys(), 1):
-            print(str(elem), end="\n" if i % 10 == 0 else ", ")
-        sys.exit(1)
+        raise ValueError("Wrong cmap, must be in: {}".format(",".join(str(elem) for elem in plt.cm.datad.keys())))
 
     # Figsize
     if args.figsize == "default":
@@ -199,10 +196,8 @@ def main(test_args: Sequence[str] | None = None) -> None:
     else:
         try:
             figsize = tuple(int(arg) for arg in args.figsize.split(","))
-        except Exception as exception:
-            print("ERROR: figsize must be a tuple of size 2, currently set to %s" % args.figsize)
-            sys.stderr.write(str(exception))
-            sys.exit(1)
+        except Exception:
+            raise ValueError("Figsize must be a tuple of size 2, currently set to %s" % args.figsize)
 
     # dpi
     if args.dpi == "default":
@@ -211,7 +206,7 @@ def main(test_args: Sequence[str] | None = None) -> None:
         try:
             dpi = int(args.dpi)
         except ValueError:
-            raise ValueError("ERROR: dpi must be an integer, currently set to %s" % args.dpi)
+            raise ValueError("dpi must be an integer, currently set to %s" % args.dpi)
 
     # Plot data
 
diff --git a/tests/test_geoviewer.py b/tests/test_geoviewer.py
index 0c80e2280..8a6321b2f 100644
--- a/tests/test_geoviewer.py
+++ b/tests/test_geoviewer.py
@@ -28,7 +28,7 @@
         ("-noresampl",),
     ),
 )  # type: ignore
-def test_geoviewer(capsys, monkeypatch, filename, option):  # type: ignore
+def test_geoviewer_valid(capsys, monkeypatch, filename, option):  # type: ignore
 
     # To avoid having the plots popping up during execution
     monkeypatch.setattr(plt, "show", lambda: None)
@@ -49,3 +49,27 @@ def test_geoviewer(capsys, monkeypatch, filename, option):  # type: ignore
     if option[0] == "-save":
         if os.path.exists("test.png"):
             os.remove("test.png")
+
+@pytest.mark.parametrize(
+    "filename", [gu.examples.get_path("everest_landsat_b4"), gu.examples.get_path("exploradores_aster_dem")]
+)  # type: ignore
+@pytest.mark.parametrize(
+    "option",
+    (
+        ("-cmap", "Lols"),
+        ("-vmin", "lol"),
+        ("-vmin", "lol2"),
+        ("-figsize", "blabla"),
+        ("-dpi", "300.5"),
+        ("-nodata", "lol"),
+    ),
+)  # type: ignore
+def test_geoviewer_invalid(capsys, monkeypatch, filename, option):  # type: ignore
+
+    # To avoid having the plots popping up during execution
+    monkeypatch.setattr(plt, "show", lambda: None)
+
+    # To not get exception when testing generic functions such as --help
+    with pytest.raises(ValueError):
+        gv.main([filename, *option])
+

From 30689c461608c5f5c40d12b0f4a4e6a119ee0113 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 9 Mar 2023 17:43:37 -0800
Subject: [PATCH 110/184] Add random state tests for subsample

---
 tests/test_spatial_tools.py | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/tests/test_spatial_tools.py b/tests/test_spatial_tools.py
index 7d0ac3822..9cf1717fb 100644
--- a/tests/test_spatial_tools.py
+++ b/tests/test_spatial_tools.py
@@ -431,6 +431,16 @@ def test_subsample(self, array: np.ndarray) -> None:
         assert np.ndim(array[indices]) == 1
         assert np.size(array[indices]) == int(np.size(array) * 0.3)
 
+        # Check that we can pass an integer to fix the random state
+        sub42 = gu.spatial_tools.subsample_raster(array, subsample=10, random_state=42)
+        # Check by passing a generator directly
+        random_gen = np.random.RandomState(np.random.MT19937(np.random.SeedSequence(42)))
+        sub42_gen = gu.spatial_tools.subsample_raster(array, subsample=10, random_state=random_gen)
+        # Both should be equal
+        assert np.array_equal(sub42, sub42_gen)
+
+
+
 
 class TestRasterTools:
     def test_get_valid_extent(self) -> None:

From 02fb399c0ce7a0a22cb1075c492b1ff1351fac6e Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 9 Mar 2023 17:44:11 -0800
Subject: [PATCH 111/184] Linting

---
 geoutils/geoviewer.py       | 1 -
 tests/test_geoviewer.py     | 2 +-
 tests/test_spatial_tools.py | 2 --
 3 files changed, 1 insertion(+), 4 deletions(-)

diff --git a/geoutils/geoviewer.py b/geoutils/geoviewer.py
index 9fa491258..77be6b445 100755
--- a/geoutils/geoviewer.py
+++ b/geoutils/geoviewer.py
@@ -9,7 +9,6 @@
 from __future__ import annotations
 
 import argparse
-import sys
 from typing import Sequence
 
 import matplotlib.pyplot as plt
diff --git a/tests/test_geoviewer.py b/tests/test_geoviewer.py
index 8a6321b2f..25094f75e 100644
--- a/tests/test_geoviewer.py
+++ b/tests/test_geoviewer.py
@@ -50,6 +50,7 @@ def test_geoviewer_valid(capsys, monkeypatch, filename, option):  # type: ignore
         if os.path.exists("test.png"):
             os.remove("test.png")
 
+
 @pytest.mark.parametrize(
     "filename", [gu.examples.get_path("everest_landsat_b4"), gu.examples.get_path("exploradores_aster_dem")]
 )  # type: ignore
@@ -72,4 +73,3 @@ def test_geoviewer_invalid(capsys, monkeypatch, filename, option):  # type: igno
     # To not get exception when testing generic functions such as --help
     with pytest.raises(ValueError):
         gv.main([filename, *option])
-
diff --git a/tests/test_spatial_tools.py b/tests/test_spatial_tools.py
index 9cf1717fb..fffbda6a7 100644
--- a/tests/test_spatial_tools.py
+++ b/tests/test_spatial_tools.py
@@ -440,8 +440,6 @@ def test_subsample(self, array: np.ndarray) -> None:
         assert np.array_equal(sub42, sub42_gen)
 
 
-
-
 class TestRasterTools:
     def test_get_valid_extent(self) -> None:
         """Check the function to get valid extent."""

From 14e429d37015df6cdc21e360238cbddf986609a0 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 9 Mar 2023 17:58:38 -0800
Subject: [PATCH 112/184] Add coveragerc file to exclude overload and
 importerrors that do not need to be tested

---
 .coveragerc | 5 +++++
 1 file changed, 5 insertions(+)
 create mode 100644 .coveragerc

diff --git a/.coveragerc b/.coveragerc
new file mode 100644
index 000000000..dda948d5c
--- /dev/null
+++ b/.coveragerc
@@ -0,0 +1,5 @@
+[report]
+exclude_lines =
+    pragma: not covered
+    @overload
+    except ImportError
\ No newline at end of file

From 56bb9f10f2495f2b76c1291b51e119f084b14abb Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 9 Mar 2023 18:05:25 -0800
Subject: [PATCH 113/184] Linting

---
 .coveragerc | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.coveragerc b/.coveragerc
index dda948d5c..c53e3f29f 100644
--- a/.coveragerc
+++ b/.coveragerc
@@ -2,4 +2,4 @@
 exclude_lines =
     pragma: not covered
     @overload
-    except ImportError
\ No newline at end of file
+    except ImportError

From b561c602a29de163ba575a9a32c90a5451715d71 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 9 Mar 2023 18:20:51 -0800
Subject: [PATCH 114/184] Fix tempfile error on Windows

---
 tests/test_georaster.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 099d7c6cc..9e65ee8c9 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -2202,6 +2202,7 @@ def test_save(self, example: str) -> None:
                 img.save(TemporaryFile())
 
         # Test with blank argument
+        temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
         img.save(temp_file.name, blank_value=0)
         saved = gu.Raster(temp_file.name)
 

From 02e7bfb416247d9a3f0160ffdeea8f16ce620b29 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 10 Mar 2023 15:01:23 -0800
Subject: [PATCH 115/184] Add tests for coords(), that was malfunctioning

---
 tests/test_georaster.py | 40 +++++++++++++++++++++++++---------------
 1 file changed, 25 insertions(+), 15 deletions(-)

diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 9e65ee8c9..919e30ec1 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -2214,32 +2214,42 @@ def test_save(self, example: str) -> None:
         except (NotADirectoryError, PermissionError):
             pass
 
-    def test_coords(self) -> None:
+    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path, landsat_rgb_path])
+    def test_coords(self, example: str) -> None:
 
         img = gu.Raster(self.landsat_b4_path)
-        xx, yy = img.coords(offset="corner")
-        assert xx.min() == pytest.approx(img.bounds.left)
-        assert xx.max() == pytest.approx(img.bounds.right - img.res[0])
+
+        # With corner argument
+        xx0, yy0 = img.coords(offset="corner", grid=False)
+
+        assert xx0[0] == pytest.approx(img.bounds.left)
+        assert xx0[-1] == pytest.approx(img.bounds.right - img.res[0])
         if img.res[1] > 0:
-            assert yy.min() == pytest.approx(img.bounds.bottom)
-            assert yy.max() == pytest.approx(img.bounds.top - img.res[1])
+            assert yy0[0] == pytest.approx(img.bounds.bottom)
+            assert yy0[-1] == pytest.approx(img.bounds.top - img.res[1])
         else:
             # Currently not covered by test image
-            assert yy.min() == pytest.approx(img.bounds.top)
-            assert yy.max() == pytest.approx(img.bounds.bottom + img.res[1])
+            assert yy0[0] == pytest.approx(img.bounds.top)
+            assert yy0[-1] == pytest.approx(img.bounds.bottom + img.res[1])
 
-        xx, yy = img.coords(offset="center")
+        # With center argument
+        xx, yy = img.coords(offset="center", grid=False)
         hx = img.res[0] / 2
         hy = img.res[1] / 2
-        assert xx.min() == pytest.approx(img.bounds.left + hx)
-        assert xx.max() == pytest.approx(img.bounds.right - hx)
+        assert xx[0] == pytest.approx(img.bounds.left + hx)
+        assert xx[-1] == pytest.approx(img.bounds.right - hx)
         if img.res[1] > 0:
-            assert yy.min() == pytest.approx(img.bounds.bottom + hy)
-            assert yy.max() == pytest.approx(img.bounds.top - hy)
+            assert yy[0] == pytest.approx(img.bounds.bottom + hy)
+            assert yy[-1] == pytest.approx(img.bounds.top - hy)
         else:
             # Currently not covered by test image
-            assert yy.min() == pytest.approx(img.bounds.top + hy)
-            assert yy.max() == pytest.approx(img.bounds.bottom - hy)
+            assert yy[-1] == pytest.approx(img.bounds.top + hy)
+            assert yy[0] == pytest.approx(img.bounds.bottom - hy)
+
+        # With grid argument (default argument, repeated here for clarity)
+        xxgrid, yygrid = img.coords(offset="corner", grid=True)
+        assert np.array_equal(xxgrid, np.repeat(xx0[np.newaxis, :], img.height, axis=0))
+        assert np.array_equal(yygrid, np.flipud(np.repeat(yy0[:, np.newaxis], img.width, axis=1)))
 
     def test_from_array(self) -> None:
 

From 6c7d7f25782c7baa8240461bdbb6a59ec5a51719 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 13 Mar 2023 14:27:57 -0700
Subject: [PATCH 116/184] Reorganize spatial tools into georaster/ modules

---
 geoutils/__init__.py                          |   1 -
 geoutils/georaster/__init__.py                |   3 +
 geoutils/georaster/array.py                   | 108 ++++
 .../multiraster.py}                           | 255 +-------
 geoutils/georaster/raster.py                  |  20 +-
 geoutils/georaster/sampling.py                | 154 +++++
 tests/test_array.py                           | 213 +++++++
 tests/test_georaster.py                       |   8 +-
 tests/test_multiraster.py                     | 278 +++++++++
 tests/test_sampling.py                        |  87 +++
 tests/test_spatial_tools.py                   | 562 ------------------
 11 files changed, 867 insertions(+), 822 deletions(-)
 create mode 100644 geoutils/georaster/array.py
 rename geoutils/{spatial_tools.py => georaster/multiraster.py} (56%)
 create mode 100644 geoutils/georaster/sampling.py
 create mode 100644 tests/test_array.py
 create mode 100644 tests/test_multiraster.py
 create mode 100644 tests/test_sampling.py
 delete mode 100644 tests/test_spatial_tools.py

diff --git a/geoutils/__init__.py b/geoutils/__init__.py
index 897e8c077..b1659e23b 100644
--- a/geoutils/__init__.py
+++ b/geoutils/__init__.py
@@ -2,7 +2,6 @@
 GeoUtils is a python package of raster and vector tools.
 """
 
-from geoutils import spatial_tools  # noqa
 from geoutils import examples, georaster, geovector, projtools  # noqa
 from geoutils.georaster import Mask, Raster, SatelliteImage  # noqa
 from geoutils.geovector import Vector  # noqa
diff --git a/geoutils/georaster/__init__.py b/geoutils/georaster/__init__.py
index a02755db4..0eee67dbc 100644
--- a/geoutils/georaster/__init__.py
+++ b/geoutils/georaster/__init__.py
@@ -1,4 +1,7 @@
 from geoutils.georaster.raster import Raster, RasterType, Mask  # noqa isort:skip
 from geoutils.georaster.satimg import SatelliteImage  # noqa
+from geoutils.georaster.array import * # noqa
+from geoutils.georaster.sampling import * # noqa
+from geoutils.georaster.multiraster import * # noqa
 
 __all__ = ["RasterType", "Raster"]
diff --git a/geoutils/georaster/array.py b/geoutils/georaster/array.py
new file mode 100644
index 000000000..104ba2a56
--- /dev/null
+++ b/geoutils/georaster/array.py
@@ -0,0 +1,108 @@
+"""Array tools related to rasters."""
+
+from __future__ import annotations
+
+import warnings
+
+import numpy as np
+import geoutils as gu
+
+def get_mask(array: np.ndarray | np.ma.masked_array) -> np.ndarray:
+    """
+    Return the mask of invalid values, whether array is a ndarray with NaNs or a np.ma.masked_array.
+
+    :param array: Input array.
+
+    :returns invalid_mask: boolean array, True where array is masked or Nan.
+    """
+    mask = (array.mask | ~np.isfinite(array.data)) if isinstance(array, np.ma.masked_array) else ~np.isfinite(array)
+    return mask.squeeze()
+
+
+def get_array_and_mask(
+    array: np.ndarray | np.ma.masked_array, check_shape: bool = True, copy: bool = True
+) -> tuple[np.ndarray, np.ndarray]:
+    """
+    Return array with masked values set to NaN and the associated mask.
+    Works whether array is a ndarray with NaNs or a np.ma.masked_array.
+
+    :param array: Input array.
+    :param check_shape: Validate that the array is either a 1D array, a 2D array or a 3D array of shape (1, rows, cols).
+    :param copy: Return a copy of 'array'. If False, a view will be attempted (and warn if not possible)
+
+    :returns array_data, invalid_mask: a tuple of ndarrays. First is array with invalid pixels converted to NaN, \
+    second is mask of invalid pixels (True if invalid).
+    """
+    #
+    if isinstance(array, gu.Raster):
+        array = array.data
+
+    if check_shape:
+        if len(array.shape) > 2 and array.shape[0] > 1:
+            raise ValueError(
+                f"Invalid array shape given: {array.shape}." "Expected 2D array or 3D array where arr.shape[0] == 1"
+            )
+
+    # If an occupied mask exists and a view was requested, trigger a warning.
+    if not copy and np.any(getattr(array, "mask", False)):
+        warnings.warn("Copying is required to respect the mask. Returning copy. Set 'copy=True' to hide this message.")
+        copy = True
+
+    # If array is of type integer and has a mask, it needs to be converted to float (to assign nans)
+    if np.any(getattr(array, "mask", False)) and np.issubdtype(array.dtype, np.integer):  # type: ignore
+        array = array.astype(np.float32)  # type: ignore
+
+    # Convert into a regular ndarray (a view or copy depending on the 'copy' argument)
+    array_data = np.array(array).squeeze() if copy else np.asarray(array).squeeze()
+
+    # Get the mask of invalid pixels and set nans if it is occupied.
+    invalid_mask = get_mask(array)
+    if np.any(invalid_mask):
+        array_data[invalid_mask] = np.nan
+
+    return array_data, invalid_mask
+
+
+def get_valid_extent(array: np.ndarray | np.ma.masked_array) -> tuple[int, ...]:
+    """
+    Return (rowmin, rowmax, colmin, colmax), the first/last row/column of array with valid pixels
+    """
+    if not array.dtype == "bool":
+        valid_mask = ~get_mask(array)
+    else:
+        valid_mask = array
+    cols_nonzero = np.where(np.count_nonzero(valid_mask, axis=0) > 0)[0]
+    rows_nonzero = np.where(np.count_nonzero(valid_mask, axis=1) > 0)[0]
+    return rows_nonzero[0], rows_nonzero[-1], cols_nonzero[0], cols_nonzero[-1]
+
+
+def get_xy_rotated(raster: gu.Raster, along_track_angle: float) -> tuple[np.ndarray, np.ndarray]:
+    """
+    Rotate x, y axes of image to get along- and cross-track distances.
+    :param raster: Raster to get x,y positions from.
+    :param along_track_angle: Angle by which to rotate axes (degrees)
+
+    :returns xxr, yyr: Arrays corresponding to along (x) and cross (y) track distances.
+    """
+
+    myang = np.deg2rad(along_track_angle)
+
+    # Get grid coordinates
+    xx, yy = raster.coords(grid=True)
+    xx -= np.min(xx)
+    yy -= np.min(yy)
+
+    # Get rotated coordinates
+
+    # For along-track
+    xxr = xx * np.cos(myang) - yy * np.sin(myang)
+    # For cross-track
+    yyr = xx * np.sin(myang) + yy * np.cos(myang)
+
+    # Re-initialize coordinate at zero
+    xxr -= np.nanmin(xxr)
+    yyr -= np.nanmin(yyr)
+
+    return xxr, yyr
+
+
diff --git a/geoutils/spatial_tools.py b/geoutils/georaster/multiraster.py
similarity index 56%
rename from geoutils/spatial_tools.py
rename to geoutils/georaster/multiraster.py
index ff133d528..9a3e1abc4 100644
--- a/geoutils/spatial_tools.py
+++ b/geoutils/georaster/multiraster.py
@@ -1,9 +1,4 @@
-"""Basic operations to be run on 2D image arrays
-
-Optional dependencies:
-    skimage.transform (@subdivide_array)
-
-"""
+"""Multiple rasters tools."""
 from __future__ import annotations
 
 import warnings
@@ -15,79 +10,11 @@
 from tqdm import tqdm
 
 import geoutils as gu
-from geoutils.georaster import Raster, RasterType
+from geoutils.georaster import Raster, RasterType, get_array_and_mask
 from geoutils.georaster.raster import _default_nodata
 from geoutils.misc import resampling_method_from_str
 
 
-def get_mask(array: np.ndarray | np.ma.masked_array) -> np.ndarray:
-    """
-    Return the mask of invalid values, whether array is a ndarray with NaNs or a np.ma.masked_array.
-
-    :param array: Input array.
-
-    :returns invalid_mask: boolean array, True where array is masked or Nan.
-    """
-    mask = (array.mask | ~np.isfinite(array.data)) if isinstance(array, np.ma.masked_array) else ~np.isfinite(array)
-    return mask.squeeze()
-
-
-def get_array_and_mask(
-    array: np.ndarray | np.ma.masked_array | RasterType, check_shape: bool = True, copy: bool = True
-) -> tuple[np.ndarray, np.ndarray]:
-    """
-    Return array with masked values set to NaN and the associated mask.
-    Works whether array is a ndarray with NaNs or a np.ma.masked_array.
-
-    :param array: Input array.
-    :param check_shape: Validate that the array is either a 1D array, a 2D array or a 3D array of shape (1, rows, cols).
-    :param copy: Return a copy of 'array'. If False, a view will be attempted (and warn if not possible)
-
-    :returns array_data, invalid_mask: a tuple of ndarrays. First is array with invalid pixels converted to NaN, \
-    second is mask of invalid pixels (True if invalid).
-    """
-    if isinstance(array, gu.Raster):
-        array = array.data
-
-    if check_shape:
-        if len(array.shape) > 2 and array.shape[0] > 1:
-            raise ValueError(
-                f"Invalid array shape given: {array.shape}." "Expected 2D array or 3D array where arr.shape[0] == 1"
-            )
-
-    # If an occupied mask exists and a view was requested, trigger a warning.
-    if not copy and np.any(getattr(array, "mask", False)):
-        warnings.warn("Copying is required to respect the mask. Returning copy. Set 'copy=True' to hide this message.")
-        copy = True
-
-    # If array is of type integer and has a mask, it needs to be converted to float (to assign nans)
-    if np.any(getattr(array, "mask", False)) and np.issubdtype(array.dtype, np.integer):  # type: ignore
-        array = array.astype(np.float32)  # type: ignore
-
-    # Convert into a regular ndarray (a view or copy depending on the 'copy' argument)
-    array_data = np.array(array).squeeze() if copy else np.asarray(array).squeeze()
-
-    # Get the mask of invalid pixels and set nans if it is occupied.
-    invalid_mask = get_mask(array)
-    if np.any(invalid_mask):
-        array_data[invalid_mask] = np.nan
-
-    return array_data, invalid_mask
-
-
-def get_valid_extent(array: np.ndarray | np.ma.masked_array) -> tuple[int, ...]:
-    """
-    Return (rowmin, rowmax, colmin, colmax), the first/last row/column of array with valid pixels
-    """
-    if not array.dtype == "bool":
-        valid_mask = ~get_mask(array)
-    else:
-        valid_mask = array
-    cols_nonzero = np.where(np.count_nonzero(valid_mask, axis=0) > 0)[0]
-    rows_nonzero = np.where(np.count_nonzero(valid_mask, axis=1) > 0)[0]
-    return rows_nonzero[0], rows_nonzero[-1], cols_nonzero[0], cols_nonzero[-1]
-
-
 def load_multiple_rasters(
     raster_paths: list[str], crop: bool = True, ref_grid: int | None = None, **kwargs: Any
 ) -> list[RasterType]:
@@ -380,181 +307,3 @@ def merge_rasters(
     )
 
     return merged_raster
-
-
-def _get_closest_rectangle(size: int) -> tuple[int, int]:
-    """
-    Given a 1D array size, return a rectangular shape that is closest to a cube which the size fits in.
-
-    If 'size' does not have an integer root, a rectangle is returned that is slightly larger than 'size'.
-
-    :examples:
-        >>> _get_closest_rectangle(4)  # size will be 4
-        (2, 2)
-        >>> _get_closest_rectangle(9)  # size will be 9
-        (3, 3)
-        >>> _get_closest_rectangle(3)  # size will be 4; needs padding afterward.
-        (2, 2)
-        >>> _get_closest_rectangle(55) # size will be 56; needs padding afterward.
-        (7, 8)
-        >>> _get_closest_rectangle(24)  # size will be 25; needs padding afterward
-        (5, 5)
-        >>> _get_closest_rectangle(85620)  # size will be 85849; needs padding afterward
-        (293, 293)
-        >>> _get_closest_rectangle(52011)  # size will be 52212; needs padding afterward
-        (228, 229)
-    """
-    close_cube = int(np.sqrt(size))
-
-    # If size has an integer root, return the respective cube.
-    if close_cube**2 == size:
-        return (close_cube, close_cube)
-
-    # One of these rectangles/cubes will cover all cells, so return the first that does.
-    potential_rectangles = [(close_cube, close_cube + 1), (close_cube + 1, close_cube + 1)]
-
-    for rectangle in potential_rectangles:
-        if np.prod(rectangle) >= size:
-            return rectangle
-
-    raise NotImplementedError(f"Function criteria not met for rectangle of size: {size}")
-
-
-def subdivide_array(shape: tuple[int, ...], count: int) -> np.ndarray:
-    """
-    Create indices for subdivison of an array in a number of blocks.
-
-    If 'count' is divisible by the product of 'shape', the amount of cells in each block will be equal.
-    If 'count' is not divisible, the amount of cells in each block will be very close to equal.
-
-    :param shape: The shape of a array to be subdivided.
-    :param count: The amount of subdivisions to make.
-
-    :examples:
-        >>> subdivide_array((4, 4), 4)
-        array([[0, 0, 1, 1],
-               [0, 0, 1, 1],
-               [2, 2, 3, 3],
-               [2, 2, 3, 3]])
-
-        >>> subdivide_array((6, 4), 4)
-        array([[0, 0, 1, 1],
-               [0, 0, 1, 1],
-               [0, 0, 1, 1],
-               [2, 2, 3, 3],
-               [2, 2, 3, 3],
-               [2, 2, 3, 3]])
-
-        >>> subdivide_array((5, 4), 3)
-        array([[0, 0, 0, 0],
-               [0, 0, 0, 0],
-               [1, 1, 2, 2],
-               [1, 1, 2, 2],
-               [1, 1, 2, 2]])
-
-    :raises ValueError: If the 'shape' size (`np.prod(shape)`) is smallern than 'count'
-                        If the shape is not a 2D shape.
-
-    :returns: An array of shape 'shape' with 'count' unique indices.
-    """
-    try:
-        import skimage.transform
-    except ImportError:
-        raise ImportError("Missing optional dependency, skimage.transform, required by this function.")
-
-    if count > np.prod(shape):
-        raise ValueError(f"Shape '{shape}' size ({np.prod(shape)}) is smaller than 'count' ({count}).")
-
-    if len(shape) != 2:
-        raise ValueError(f"Expected a 2D shape, got {len(shape)}D shape: {shape}")
-
-    # Generate a small grid of indices, with the same unique count as 'count'
-    rect = _get_closest_rectangle(count)
-    small_indices = np.pad(np.arange(count), np.prod(rect) - count, mode="edge")[: np.prod(rect)].reshape(rect)
-
-    # Upscale the grid to fit the output shape using nearest neighbour scaling.
-    indices = skimage.transform.resize(small_indices, shape, order=0, preserve_range=True).astype(int)
-
-    return indices.reshape(shape)
-
-
-def get_xy_rotated(raster: Raster, along_track_angle: float) -> tuple[np.ndarray, np.ndarray]:
-    """
-    Rotate x, y axes of image to get along- and cross-track distances.
-    :param raster: Raster to get x,y positions from.
-    :param along_track_angle: Angle by which to rotate axes (degrees)
-
-    :returns xxr, yyr: Arrays corresponding to along (x) and cross (y) track distances.
-    """
-
-    myang = np.deg2rad(along_track_angle)
-
-    # Get grid coordinates
-    xx, yy = raster.coords(grid=True)
-    xx -= np.min(xx)
-    yy -= np.min(yy)
-
-    # Get rotated coordinates
-
-    # For along-track
-    xxr = xx * np.cos(myang) - yy * np.sin(myang)
-    # For cross-track
-    yyr = xx * np.sin(myang) + yy * np.cos(myang)
-
-    # Re-initialize coordinate at zero
-    xxr -= np.nanmin(xxr)
-    yyr -= np.nanmin(yyr)
-
-    return xxr, yyr
-
-
-def subsample_raster(
-    array: np.ndarray | np.ma.masked_array,
-    subsample: float | int,
-    return_indices: bool = False,
-    random_state: None | np.random.RandomState | np.random.Generator | int = None,
-) -> np.ndarray:
-    """
-    Randomly subsample a 1D or 2D array by a subsampling factor, taking only non NaN/masked values.
-
-    :param subsample: If <= 1, will be considered a fraction of valid pixels to extract.
-    If > 1 will be considered the number of pixels to extract.
-    :param return_indices: If set to True, will return the extracted indices only.
-    :param random_state: Random state, or seed number to use for random calculations (for testing)
-
-    :returns: The subsampled array (1D) or the indices to extract (same shape as input array)
-    """
-    # Define state for random subsampling (to fix results during testing)
-    if random_state is None:
-        rnd = np.random.default_rng()
-    elif isinstance(random_state, (np.random.RandomState, np.random.Generator)):
-        rnd = random_state
-    else:
-        rnd = np.random.RandomState(np.random.MT19937(np.random.SeedSequence(random_state)))
-
-    # Get number of points to extract
-    if (subsample <= 1) & (subsample > 0):
-        npoints = int(subsample * np.size(array))
-    elif subsample > 1:
-        npoints = int(subsample)
-    else:
-        raise ValueError("`subsample` must be > 0")
-
-    # Remove invalid values and flatten array
-    mask = get_mask(array)  # -> need to remove .squeeze in get_mask
-    valids = np.argwhere(~mask.flatten()).squeeze()
-
-    # Checks that array and npoints are correct
-    assert np.ndim(valids) == 1, "Something is wrong with array dimension, check input data and shape"
-    if npoints > np.size(valids):
-        npoints = np.size(valids)
-
-    # Randomly extract npoints without replacement
-    indices = rnd.choice(valids, npoints, replace=False)
-    unraveled_indices = np.unravel_index(indices, array.shape)
-
-    if return_indices:
-        return unraveled_indices
-
-    else:
-        return array[unraveled_indices]
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index f5df0ab30..537ef2498 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -20,8 +20,6 @@
 import numpy as np
 import pyproj
 import rasterio as rio
-import rasterio.mask
-import rasterio.transform
 import rasterio.warp
 import rasterio.windows
 from affine import Affine
@@ -36,6 +34,7 @@
 from geoutils._typing import AnyNumber, ArrayLike, DTypeLike
 from geoutils.geovector import Vector
 from geoutils.projtools import _get_bounds_projected
+from geoutils.georaster.sampling import subsample_array
 
 # If python38 or above, Literal is builtin. Otherwise, use typing_extensions
 try:
@@ -2968,6 +2967,23 @@ def proximity(
 
         return self.copy(new_array=proximity)
 
+    def subsample(
+        self,
+        subsample: int | float,
+        return_indices: bool = False,
+        random_state: None | np.random.RandomState | np.random.Generator | int = None
+        ) -> np.ndarray:
+        """
+        Randomly subsample the raster. Only valid values are considered.
+
+        :param subsample: If <= 1, a fraction of the total pixels to extract. If > 1, the number of pixels.
+        :param return_indices: Whether to return the extracted indices only.
+        :param random_state: Random state or seed number.
+
+        :return: Array of subsampled valid values, or array of subsampled indices.
+        """
+
+        return subsample_array(array=self.data, subsample=subsample, return_indices=return_indices, random_state=random_state)
 
 class Mask(Raster):
     """
diff --git a/geoutils/georaster/sampling.py b/geoutils/georaster/sampling.py
new file mode 100644
index 000000000..4972480be
--- /dev/null
+++ b/geoutils/georaster/sampling.py
@@ -0,0 +1,154 @@
+"""Sampling tools for arrays and rasters."""
+
+from __future__ import annotations
+
+import numpy as np
+from geoutils.georaster.array import get_mask
+
+def subsample_array(
+    array: np.ndarray | np.ma.masked_array,
+    subsample: float | int,
+    return_indices: bool = False,
+    random_state: None | np.random.RandomState | np.random.Generator | int = None,
+) -> np.ndarray:
+    """
+    Randomly subsample a 1D or 2D array by a subsampling factor, taking only non NaN/masked values.
+
+    :param array:
+    :param subsample: If <= 1, will be considered a fraction of valid pixels to extract.
+    If > 1 will be considered the number of pixels to extract.
+    :param return_indices: If set to True, will return the extracted indices only.
+    :param random_state: Random state, or seed number to use for random calculations (for testing)
+
+    :returns: The subsampled array (1D) or the indices to extract (same shape as input array)
+    """
+    # Define state for random subsampling (to fix results during testing)
+    if random_state is None:
+        rnd = np.random.default_rng()
+    elif isinstance(random_state, (np.random.RandomState, np.random.Generator)):
+        rnd = random_state
+    else:
+        rnd = np.random.RandomState(np.random.MT19937(np.random.SeedSequence(random_state)))
+
+    # Get number of points to extract
+    if (subsample <= 1) & (subsample > 0):
+        npoints = int(subsample * np.size(array))
+    elif subsample > 1:
+        npoints = int(subsample)
+    else:
+        raise ValueError("`subsample` must be > 0")
+
+    # Remove invalid values and flatten array
+    mask = get_mask(array)  # -> need to remove .squeeze in get_mask
+    valids = np.argwhere(~mask.flatten()).squeeze()
+
+    # Checks that array and npoints are correct
+    assert np.ndim(valids) == 1, "Something is wrong with array dimension, check input data and shape"
+    if npoints > np.size(valids):
+        npoints = np.size(valids)
+
+    # Randomly extract npoints without replacement
+    indices = rnd.choice(valids, npoints, replace=False)
+    unraveled_indices = np.unravel_index(indices, array.shape)
+
+    if return_indices:
+        return unraveled_indices
+
+    else:
+        return array[unraveled_indices]
+
+
+def _get_closest_rectangle(size: int) -> tuple[int, int]:
+    """
+    Given a 1D array size, return a rectangular shape that is closest to a cube which the size fits in.
+
+    If 'size' does not have an integer root, a rectangle is returned that is slightly larger than 'size'.
+
+    :examples:
+        >>> _get_closest_rectangle(4)  # size will be 4
+        (2, 2)
+        >>> _get_closest_rectangle(9)  # size will be 9
+        (3, 3)
+        >>> _get_closest_rectangle(3)  # size will be 4; needs padding afterward.
+        (2, 2)
+        >>> _get_closest_rectangle(55) # size will be 56; needs padding afterward.
+        (7, 8)
+        >>> _get_closest_rectangle(24)  # size will be 25; needs padding afterward
+        (5, 5)
+        >>> _get_closest_rectangle(85620)  # size will be 85849; needs padding afterward
+        (293, 293)
+        >>> _get_closest_rectangle(52011)  # size will be 52212; needs padding afterward
+        (228, 229)
+    """
+    close_cube = int(np.sqrt(size))
+
+    # If size has an integer root, return the respective cube.
+    if close_cube**2 == size:
+        return (close_cube, close_cube)
+
+    # One of these rectangles/cubes will cover all cells, so return the first that does.
+    potential_rectangles = [(close_cube, close_cube + 1), (close_cube + 1, close_cube + 1)]
+
+    for rectangle in potential_rectangles:
+        if np.prod(rectangle) >= size:
+            return rectangle
+
+    raise NotImplementedError(f"Function criteria not met for rectangle of size: {size}")
+
+
+def subdivide_array(shape: tuple[int, ...], count: int) -> np.ndarray:
+    """
+    Create indices for subdivison of an array in a number of blocks.
+
+    If 'count' is divisible by the product of 'shape', the amount of cells in each block will be equal.
+    If 'count' is not divisible, the amount of cells in each block will be very close to equal.
+
+    :param shape: The shape of a array to be subdivided.
+    :param count: The amount of subdivisions to make.
+
+    :examples:
+        >>> subdivide_array((4, 4), 4)
+        array([[0, 0, 1, 1],
+               [0, 0, 1, 1],
+               [2, 2, 3, 3],
+               [2, 2, 3, 3]])
+
+        >>> subdivide_array((6, 4), 4)
+        array([[0, 0, 1, 1],
+               [0, 0, 1, 1],
+               [0, 0, 1, 1],
+               [2, 2, 3, 3],
+               [2, 2, 3, 3],
+               [2, 2, 3, 3]])
+
+        >>> subdivide_array((5, 4), 3)
+        array([[0, 0, 0, 0],
+               [0, 0, 0, 0],
+               [1, 1, 2, 2],
+               [1, 1, 2, 2],
+               [1, 1, 2, 2]])
+
+    :raises ValueError: If the 'shape' size (`np.prod(shape)`) is smallern than 'count'
+                        If the shape is not a 2D shape.
+
+    :returns: An array of shape 'shape' with 'count' unique indices.
+    """
+    try:
+        import skimage.transform
+    except ImportError:
+        raise ImportError("Missing optional dependency, skimage.transform, required by this function.")
+
+    if count > np.prod(shape):
+        raise ValueError(f"Shape '{shape}' size ({np.prod(shape)}) is smaller than 'count' ({count}).")
+
+    if len(shape) != 2:
+        raise ValueError(f"Expected a 2D shape, got {len(shape)}D shape: {shape}")
+
+    # Generate a small grid of indices, with the same unique count as 'count'
+    rect = _get_closest_rectangle(count)
+    small_indices = np.pad(np.arange(count), np.prod(rect) - count, mode="edge")[: np.prod(rect)].reshape(rect)
+
+    # Upscale the grid to fit the output shape using nearest neighbour scaling.
+    indices = skimage.transform.resize(small_indices, shape, order=0, preserve_range=True).astype(int)
+
+    return indices.reshape(shape)
\ No newline at end of file
diff --git a/tests/test_array.py b/tests/test_array.py
new file mode 100644
index 000000000..058594660
--- /dev/null
+++ b/tests/test_array.py
@@ -0,0 +1,213 @@
+"""Test array tools."""
+from __future__ import annotations
+
+import warnings
+
+import numpy as np
+import pytest
+import rasterio as rio
+
+import geoutils as gu
+
+class TestArray:
+
+    @pytest.mark.parametrize("dtype", ["uint8", "uint16", "int32", "float32", "float16"])  # type: ignore
+    @pytest.mark.parametrize(
+        "mask_and_viewable",
+        [
+            (None, True),  # An ndarray with no mask should support views
+            (False, True),  # A masked array with an empty mask should support views
+            ([True, False, False, False], False),  # A masked array with an occupied mask should not support views.
+            ([False, False, False, False], True),  # A masked array with an empty occupied mask should support views.
+        ],
+    )  # type: ignore
+    @pytest.mark.parametrize(
+        "shape_and_check_passes",
+        [
+            ((1, 2, 2), True),  # A 3D array with a shape[0] == 1 is okay.
+            ((2, 1, 2), False),  # A 3D array with a shape[0] != 1 is not okay.
+            ((2, 2), True),  # A 2D array is okay.
+            ((4,), True),  # A 1D array is okay.
+        ],
+    )  # type: ignore
+    def test_get_array_and_mask(self,
+            dtype: str,
+            mask_and_viewable: tuple[None | bool | list[bool], bool],
+            shape_and_check_passes: tuple[tuple[int, ...], bool],
+    ) -> None:
+        """Validate that the function returns views when expected, and copies otherwise."""
+        warnings.simplefilter("error")
+
+        masked_values, view_should_be_possible = mask_and_viewable
+        shape, check_should_pass = shape_and_check_passes
+
+        # Create an array of the specified dtype
+        array = np.ones(shape, dtype=dtype)
+        if masked_values is not None:
+            if masked_values is False:
+                array = np.ma.masked_array(array)
+            else:
+                array = np.ma.masked_array(array, mask=np.reshape(masked_values, array.shape))
+
+        # Validate that incorrect shapes raise the correct error.
+        if not check_should_pass:
+            with pytest.raises(ValueError, match="Invalid array shape given"):
+                gu.georaster.get_array_and_mask(array, check_shape=True)
+
+            # Stop the test here as the failure is now validated.
+            return
+
+        # Get a copy of the array and check its shape (it should always pass at this point)
+        arr, _ = gu.georaster.get_array_and_mask(array, copy=True, check_shape=True)
+
+        # Validate that the array is a copy
+        assert not np.shares_memory(arr, array)
+
+        # If it was an integer dtype and it had a mask, validate that the array is now "float32"
+        if np.issubdtype(dtype, np.integer) and np.any(masked_values or False):
+            assert arr.dtype == "float32"
+
+        # If there was no mask or the mask was empty, validate that arr and array are equivalent
+        if not np.any(masked_values or False):
+            assert np.sum(np.abs(array - arr)) == 0.0
+
+        with warnings.catch_warnings(record=True) as caught_warnings:
+            warnings.simplefilter("always")
+
+            # Try to create a view.
+            arr_view, mask = gu.georaster.get_array_and_mask(array, copy=False)
+
+            # If it should be possible, validate that there were no warnings.
+            if view_should_be_possible:
+                assert len(caught_warnings) == 0, (caught_warnings[0].message, array)
+            # Otherwise, validate that one warning was raised with the correct text.
+            else:
+                assert len(caught_warnings) == 1
+                assert "Copying is required" in str(caught_warnings[0].message)
+
+        # Validate that the view shares memory if it was possible, or otherwise that it is a copy.
+        if view_should_be_possible:
+            assert np.shares_memory(array, arr_view)
+        else:
+            assert not np.shares_memory(array, arr_view)
+
+
+    def test_get_valid_extent(self) -> None:
+        """Check the function to get valid extent."""
+
+        # Create an artificial array and masked array
+        arr = np.ones(shape=(5, 5))
+        arr_mask = np.zeros(shape=(5, 5), dtype=bool)
+        mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
+
+        # For no invalid values, the function should return the edges
+        # For the array
+        assert (0, 4, 0, 4) == gu.georaster.get_valid_extent(arr)
+        # For the masked-array
+        assert (0, 4, 0, 4) == gu.georaster.get_valid_extent(mask_ma)
+
+        # 1/ First column:
+        # If we mask it in the masked array
+        mask_ma[0, :] = np.ma.masked
+        assert (1, 4, 0, 4) == gu.georaster.get_valid_extent(mask_ma)
+
+        # If we changed the array to NaNs
+        arr[0, :] = np.nan
+        assert (1, 4, 0, 4) == gu.georaster.get_valid_extent(arr)
+        mask_ma.data[0, :] = np.nan
+        mask_ma.mask = False
+        assert (1, 4, 0, 4) == gu.georaster.get_valid_extent(mask_ma)
+
+        # 2/ First row:
+        arr = np.ones(shape=(5, 5))
+        arr_mask = np.zeros(shape=(5, 5), dtype=bool)
+        mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
+        # If we mask it in the masked array
+        mask_ma[:, 0] = np.ma.masked
+        assert (0, 4, 1, 4) == gu.georaster.get_valid_extent(mask_ma)
+
+        # If we changed the array to NaNs
+        arr[:, 0] = np.nan
+        assert (0, 4, 1, 4) == gu.georaster.get_valid_extent(arr)
+        mask_ma.data[:, 0] = np.nan
+        mask_ma.mask = False
+        assert (0, 4, 1, 4) == gu.georaster.get_valid_extent(mask_ma)
+
+        # 3/ Last column:
+        arr = np.ones(shape=(5, 5))
+        arr_mask = np.zeros(shape=(5, 5), dtype=bool)
+        mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
+
+        # If we mask it in the masked array
+        mask_ma[-1, :] = np.ma.masked
+        assert (0, 3, 0, 4) == gu.georaster.get_valid_extent(mask_ma)
+
+        # If we changed the array to NaNs
+        arr[-1, :] = np.nan
+        assert (0, 3, 0, 4) == gu.georaster.get_valid_extent(arr)
+        mask_ma.data[-1, :] = np.nan
+        mask_ma.mask = False
+        assert (0, 3, 0, 4) == gu.georaster.get_valid_extent(mask_ma)
+
+        # 4/ Last row:
+        arr = np.ones(shape=(5, 5))
+        arr_mask = np.zeros(shape=(5, 5), dtype=bool)
+        mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
+
+        # If we mask it in the masked array
+        mask_ma[:, -1] = np.ma.masked
+        assert (0, 4, 0, 3) == gu.georaster.get_valid_extent(mask_ma)
+
+        # If we changed the array to NaNs
+        arr[:, -1] = np.nan
+        assert (0, 4, 0, 3) == gu.georaster.get_valid_extent(arr)
+        mask_ma.data[:, -1] = np.nan
+        mask_ma.mask = False
+        assert (0, 4, 0, 3) == gu.georaster.get_valid_extent(mask_ma)
+
+    def test_get_xy_rotated(self) -> None:
+        """Check the function to rotate array."""
+
+        # Create an artificial raster
+        width = height = 5
+        transform = rio.transform.from_bounds(0, 0, 1, 1, width, height)
+        r1 = gu.Raster.from_array(
+            np.random.randint(1, 255, (height, width), dtype="uint8"), transform=transform, crs=None
+        )
+
+        # First, we get initial coords
+        xx, yy = r1.coords(grid=True)
+
+        # Rotating the coordinates 90 degrees should be the same as rotating the array
+        xx90, yy90 = gu.georaster.get_xy_rotated(r1, along_track_angle=90)
+        assert np.allclose(np.rot90(xx90), xx)
+        assert np.allclose(np.rot90(yy90), yy)
+
+        # Same for 180 degrees
+        xx180, yy180 = gu.georaster.get_xy_rotated(r1, along_track_angle=180)
+        assert np.allclose(np.rot90(xx180, k=2), xx)
+        assert np.allclose(np.rot90(yy180, k=2), yy)
+
+        # Same for 270 degrees
+        xx270, yy270 = gu.georaster.get_xy_rotated(r1, along_track_angle=270)
+        assert np.allclose(np.rot90(xx270, k=3), xx)
+        assert np.allclose(np.rot90(yy270, k=3), yy)
+
+        # 360 degrees should get us back on our feet
+        xx360, yy360 = gu.georaster.get_xy_rotated(r1, along_track_angle=360)
+        assert np.allclose(xx360, xx)
+        assert np.allclose(yy360, yy)
+
+        # Test that the values make sense for 45 degrees
+        xx45, yy45 = gu.georaster.get_xy_rotated(r1, along_track_angle=45)
+        # Should have zero on the upper left corner for xx
+        assert xx45[0, 0] == pytest.approx(0)
+        # Then a multiple of sqrt2 along each dimension
+        assert xx45[1, 0] == pytest.approx(xx45[0, 1]) == pytest.approx(0.1 * np.sqrt(2))
+        # The lower right corner should have the highest coordinate (0.8) times sqrt(2)
+        assert xx45[-1, -1] == pytest.approx(np.max(xx) * np.sqrt(2))
+
+        # Finally, yy should be rotated by 90
+        assert np.allclose(np.rot90(xx45), yy45)
+
+        xx, yy = gu.georaster.get_xy_rotated(r1, along_track_angle=90)
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 919e30ec1..694278210 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -767,7 +767,7 @@ def test_copy(self, example: str) -> None:
 
         # When passing the new array as a NaN ndarray, only the valid data is equal, because masked data is NaN in one
         # case, and -9999 in the other
-        r_arr = gu.spatial_tools.get_array_and_mask(r)[0]
+        r_arr = gu.georaster.get_array_and_mask(r)[0]
         r2 = r.copy(new_array=r_arr)
         assert np.ma.allequal(r.data, r2.data)
         # If a nodata value exists, and we update the NaN pixels to be that nodata value, then the two Rasters should
@@ -1122,13 +1122,13 @@ def test_reproject(self, example: str) -> None:
         r_nodata.set_nodata(None)
 
         # Make sure at least one pixel is masked for test 1
-        rand_indices = gu.spatial_tools.subsample_raster(r_nodata.data, 10, return_indices=True)
+        rand_indices = gu.georaster.subsample_array(r_nodata.data, 10, return_indices=True)
         r_nodata.data[rand_indices] = np.ma.masked
         assert np.count_nonzero(r_nodata.data.mask) > 0
 
         # make sure at least one pixel is set at default nodata for test
         default_nodata = _default_nodata(r_nodata.dtypes[0])
-        rand_indices = gu.spatial_tools.subsample_raster(r_nodata.data, 10, return_indices=True)
+        rand_indices = gu.georaster.subsample_array(r_nodata.data, 10, return_indices=True)
         r_nodata.data[rand_indices] = default_nodata
         assert np.count_nonzero(r_nodata.data == default_nodata) > 0
 
@@ -1229,7 +1229,7 @@ def test_reproject(self, example: str) -> None:
         # Create a raster with (additional) random gaps
         r_gaps = r.copy()
         nsamples = 200
-        rand_indices = gu.spatial_tools.subsample_raster(r_gaps.data, nsamples, return_indices=True)
+        rand_indices = gu.georaster.subsample_array(r_gaps.data, nsamples, return_indices=True)
         r_gaps.data[rand_indices] = np.ma.masked
         assert np.sum(r_gaps.data.mask) - np.sum(r.data.mask) == nsamples  # sanity check
 
diff --git a/tests/test_multiraster.py b/tests/test_multiraster.py
new file mode 100644
index 000000000..1f9f9cbfb
--- /dev/null
+++ b/tests/test_multiraster.py
@@ -0,0 +1,278 @@
+"""
+Test tools involving multiple rasters.
+"""
+from __future__ import annotations
+
+import warnings
+from typing import Callable
+
+import numpy as np
+import pytest
+import rasterio as rio
+
+import geoutils as gu
+from geoutils import examples
+from geoutils.georaster import RasterType
+
+
+class stack_merge_images:
+    """
+    Test cases for stacking and merging images
+    Split an image with some overlap, then stack/merge it, and validate bounds and shape.
+    Param `cls` is used to set the type of the output, e.g. gu.Raster (default).
+    """
+
+    def __init__(self, image: str, cls: Callable[[str], RasterType] = gu.Raster) -> None:
+        img = cls(examples.get_path(image))
+        self.img = img
+
+        # Find the easting midpoint of the img
+        x_midpoint = np.mean([img.bounds.right, img.bounds.left])
+        x_midpoint -= (x_midpoint - img.bounds.left) % img.res[0]
+
+        # Cut the img into two imgs that slightly overlap each other.
+        self.img1 = img.copy()
+        self.img1.crop(
+            rio.coords.BoundingBox(
+                right=x_midpoint + img.res[0] * 3, left=img.bounds.left, top=img.bounds.top, bottom=img.bounds.bottom
+            )
+        )
+        self.img2 = img.copy()
+        self.img2.crop(
+            rio.coords.BoundingBox(
+                left=x_midpoint - img.res[0] * 3, right=img.bounds.right, top=img.bounds.top, bottom=img.bounds.bottom
+            )
+        )
+
+        # To check that use_ref_bounds work - create a img that do not cover the whole extent
+        self.img3 = img.copy()
+        self.img3.crop(
+            rio.coords.BoundingBox(
+                left=x_midpoint - img.res[0] * 3,
+                right=img.bounds.right - img.res[0] * 2,
+                top=img.bounds.top,
+                bottom=img.bounds.bottom,
+            )
+        )
+
+
+@pytest.fixture
+def images_1d():  # type: ignore
+    return stack_merge_images("everest_landsat_b4")
+
+
+@pytest.fixture
+def sat_images():  # type: ignore
+    return stack_merge_images("everest_landsat_b4", cls=gu.SatelliteImage)
+
+
+@pytest.fixture
+def images_3d():  # type: ignore
+    return stack_merge_images("everest_landsat_rgb")
+
+
+class TestMultiRaster:
+
+    @pytest.mark.parametrize(
+        "rasters", [pytest.lazy_fixture("images_1d"), pytest.lazy_fixture("sat_images"), pytest.lazy_fixture("images_3d")]
+    )  # type: ignore
+    def test_stack_rasters(self, rasters) -> None:  # type: ignore
+        """Test stack_rasters"""
+
+        # Silence the reprojection warning for default nodata value
+        warnings.filterwarnings("ignore", category=UserWarning, message="New nodata value found in the data array.*")
+        warnings.filterwarnings("ignore", category=UserWarning, message="For reprojection, dst_nodata must be set.*")
+
+        # Merge the two overlapping DEMs and check that output bounds and shape is correct
+        if rasters.img1.count > 1:
+            # Check warning is raised once
+            with pytest.warns(
+                    expected_warning=UserWarning,
+                    match="Some input Rasters have multiple bands, only their first band will be used.",
+            ):
+                stacked_img = gu.georaster.stack_rasters([rasters.img1, rasters.img2])
+            # Then ignore the other ones
+            warnings.filterwarnings(
+                "ignore",
+                category=UserWarning,
+                message="Some input Rasters have multiple bands, only their first band will be used.",
+            )
+
+        else:
+            stacked_img = gu.georaster.stack_rasters([rasters.img1, rasters.img2])
+
+        assert stacked_img.count == 2
+        assert rasters.img.shape == stacked_img.shape
+        assert type(stacked_img) == gu.Raster  # Check output object is always Raster, whatever input was given
+        assert np.count_nonzero(np.isnan(stacked_img.data)) == 0  # Check no NaNs introduced
+
+        merged_bounds = gu.projtools.merge_bounds(
+            [rasters.img1.bounds, rasters.img2.bounds], resolution=rasters.img1.res[0]
+        )
+        assert merged_bounds == stacked_img.bounds
+
+        # Check that reference works with input Raster
+        stacked_img = gu.georaster.stack_rasters([rasters.img1, rasters.img2], reference=rasters.img)
+        assert rasters.img.bounds == stacked_img.bounds
+
+        # Others than int or gu.Raster should raise a ValueError
+        try:
+            stacked_img = gu.georaster.stack_rasters([rasters.img1, rasters.img2], reference="a string")
+        except ValueError as exception:
+            if "reference should be" not in str(exception):
+                raise exception
+
+        # Check that use_ref_bounds works - use a img that do not cover the whole extent
+
+        # This case should not preserve original extent
+        stacked_img = gu.georaster.stack_rasters([rasters.img1, rasters.img3])
+        assert stacked_img.bounds != rasters.img.bounds
+
+        # This case should preserve original extent
+        stacked_img2 = gu.georaster.stack_rasters(
+            [rasters.img1, rasters.img3], reference=rasters.img, use_ref_bounds=True
+        )
+        assert stacked_img2.bounds == rasters.img.bounds
+
+    @pytest.mark.parametrize(
+        "rasters", [pytest.lazy_fixture("images_1d"), pytest.lazy_fixture("images_3d")]
+    )  # type: ignore
+    def test_merge_rasters(self, rasters) -> None:  # type: ignore
+        """Test merge_rasters"""
+        # Merge the two overlapping DEMs and check that it closely resembles the initial DEM
+
+        # Silence the reprojection warning for default nodata value
+        warnings.filterwarnings("ignore", category=UserWarning, message="New nodata value found in the data array.*")
+        warnings.filterwarnings("ignore", category=UserWarning, message="For reprojection, dst_nodata must be set.*")
+
+        # Ignore warning already checked in test_stack_rasters
+        if rasters.img1.count > 1:
+            warnings.filterwarnings(
+                "ignore",
+                category=UserWarning,
+                message="Some input Rasters have multiple bands, only their first band will be used.",
+            )
+
+        merged_img = gu.georaster.merge_rasters([rasters.img1, rasters.img2], merge_algorithm=np.nanmean)
+
+        assert rasters.img.shape == merged_img.shape
+        assert rasters.img.bounds == merged_img.bounds
+        assert np.count_nonzero(np.isnan(merged_img.data)) == 0  # Check no NaNs introduced
+
+        diff = rasters.img.data - merged_img.data
+
+        assert np.abs(np.nanmean(diff)) < 1
+
+        # Check that reference works
+        merged_img2 = gu.georaster.merge_rasters([rasters.img1, rasters.img2], reference=rasters.img)
+        assert merged_img2 == merged_img
+
+
+
+    # Group rasters for for testing `load_multiple_rasters`
+    # two overlapping, single band rasters
+    # two overlapping, 1 and 3 band rasters
+    # three overlapping rasters
+    # TODO: add a case with different CRS - issue raised #310
+    raster_groups = [
+        [gu.examples.get_path("everest_landsat_b4"), gu.examples.get_path("everest_landsat_b4_cropped")],
+        [gu.examples.get_path("everest_landsat_rgb"), gu.examples.get_path("everest_landsat_b4_cropped")],
+        [
+            gu.examples.get_path("everest_landsat_b4"),
+            gu.examples.get_path("everest_landsat_rgb"),
+            gu.examples.get_path("everest_landsat_b4_cropped"),
+        ],
+    ]
+
+    @pytest.mark.parametrize("raster_paths", raster_groups)  # type: ignore
+    def test_load_multiple_overlap(self, raster_paths: list[str]) -> None:
+        """
+        Test load_multiple_rasters functionalities, when rasters overlap -> no warning is raised
+        """
+        # - Test that with crop=False and ref_grid=None, rasters are simply loaded - #
+        output_rst: list[gu.Raster] = gu.georaster.load_multiple_rasters(raster_paths, crop=False, ref_grid=None)
+        for k, rst in enumerate(output_rst):
+            assert rst.is_loaded
+            rst2 = gu.Raster(raster_paths[k])
+            assert rst == rst2
+
+        # - Test that with crop=True and ref_grid=None, rasters are cropped only in area of overlap - #
+        output_rst = gu.georaster.load_multiple_rasters(raster_paths, crop=True, ref_grid=None)
+        ref_crs = gu.Raster(raster_paths[0], load_data=False).crs
+
+        # Save original and new bounds (as polygons) in the reference CRS
+        orig_poly_bounds = []
+        new_poly_bounds = []
+        for k, rst in enumerate(output_rst):
+            assert rst.is_loaded
+            rst2 = gu.Raster(raster_paths[k], load_data=False)
+            assert rst.crs == rst2.crs  # CRS should not have been changed
+            orig_poly_bounds.append(gu.projtools.bounds2poly(rst2.bounds, rst.crs, ref_crs))
+            new_poly_bounds.append(gu.projtools.bounds2poly(rst.bounds, rst.crs, ref_crs))
+
+        # Check that the new bounds are contained in the original bounds of all rasters
+        for poly1 in new_poly_bounds:
+            for poly2 in orig_poly_bounds:
+                assert poly2.contains(poly1)
+
+        # - Test that with crop=False and ref_grid=0, rasters all have the same grid as the reference - #
+        # For the landsat test case, a warning will be raised because nodata is None
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore", category=UserWarning)
+            output_rst = gu.georaster.load_multiple_rasters(raster_paths, crop=False, ref_grid=0)
+
+        ref_rst = gu.Raster(raster_paths[0], load_data=False)
+        for k, rst in enumerate(output_rst):
+            rst2 = gu.Raster(raster_paths[k], load_data=False)
+            assert rst.is_loaded
+            # Georeferences are forced to ref
+            assert rst.crs == ref_rst.crs
+            assert rst.shape == ref_rst.shape
+            assert rst.transform == ref_rst.transform
+            # Original number of bounds and nodata must be preserved
+            assert rst.count == rst2.count
+            if rst2.nodata is not None:  # if none, reprojection with set a default value
+                assert rst.nodata == rst2.nodata
+
+    raster_groups = [
+        [gu.examples.get_path("everest_landsat_b4"), gu.examples.get_path("exploradores_aster_dem")],
+    ]
+
+    @pytest.mark.parametrize("raster_paths", raster_groups)  # type: ignore
+    def test_load_multiple_no_overlap(self, raster_paths: list[str]) -> None:
+        """
+        Test load_multiple_rasters functionalities with rasters that do not overlap -> raises warning in certain cases
+        """
+        # - With crop=False and ref_grid=None, rasters are simply loaded - #
+        output_rst: list[gu.Raster] = gu.georaster.load_multiple_rasters(raster_paths, crop=False, ref_grid=None)
+        for k, rst in enumerate(output_rst):
+            assert rst.is_loaded
+            rst2 = gu.Raster(raster_paths[k])
+            assert rst == rst2
+
+        # - With crop=True -> should raise a warning - #
+        with pytest.warns(UserWarning, match="Intersection is void, returning unloaded rasters."):
+            output_rst = gu.georaster.load_multiple_rasters(raster_paths, crop=True, ref_grid=None)
+
+        # - Should work with crop=False and ref_grid=0 - #
+        # For the landsat test case, a warning will be raised because nodata is None
+        with warnings.catch_warnings():
+            warnings.simplefilter("ignore", category=UserWarning)
+            output_rst = gu.georaster.load_multiple_rasters(raster_paths, crop=False, ref_grid=0)
+
+        ref_rst = gu.Raster(raster_paths[0], load_data=False)
+        for k, rst in enumerate(output_rst):
+            rst2 = gu.Raster(raster_paths[k], load_data=False)
+            assert rst.is_loaded
+            # Georeferences are forced to ref
+            assert rst.crs == ref_rst.crs
+            assert rst.shape == ref_rst.shape
+            assert rst.transform == ref_rst.transform
+            # Original number of bounds and nodata must be preserved
+            assert rst.count == rst2.count
+            if rst2.nodata is not None:  # if none, reprojection with set a default value
+                assert rst.nodata == rst2.nodata
+            # Logically, the non overlapping raster should have only masked values
+            if k != 0:
+                assert np.count_nonzero(~rst.data.mask) == 0
+
diff --git a/tests/test_sampling.py b/tests/test_sampling.py
new file mode 100644
index 000000000..940bf9dd4
--- /dev/null
+++ b/tests/test_sampling.py
@@ -0,0 +1,87 @@
+"""Test sampling tools for arrays and rasters."""
+
+from __future__ import annotations
+
+import numpy as np
+import pytest
+
+import geoutils as gu
+
+class TestSubsampling:
+    """
+    Different examples of 1D to 3D arrays with masked values for testing.
+    """
+
+    # Case 1 - 1D array, 1 masked value
+    array1D = np.ma.masked_array(np.arange(10), mask=np.zeros(10))
+    array1D.mask[3] = True
+    assert np.ndim(array1D) == 1
+    assert np.count_nonzero(array1D.mask) > 0
+
+    # Case 2 - 2D array, 1 masked value
+    array2D = np.ma.masked_array(np.arange(9).reshape((3, 3)), mask=np.zeros((3, 3)))
+    array2D.mask[0, 1] = True
+    assert np.ndim(array2D) == 2
+    assert np.count_nonzero(array2D.mask) > 0
+
+    # Case 3 - 3D array, 1 masked value
+    array3D = np.ma.masked_array(np.arange(9).reshape((1, 3, 3)), mask=np.zeros((1, 3, 3)))
+    array3D = np.ma.vstack((array3D, array3D + 10))
+    array3D.mask[0, 0, 1] = True
+    assert np.ndim(array3D) == 3
+    assert np.count_nonzero(array3D.mask) > 0
+
+    @pytest.mark.parametrize("array", [array1D, array2D, array3D])  # type: ignore
+    def test_subsample(self, array: np.ndarray) -> None:
+        """
+        Test gu.georaster.subsample_array.
+        """
+        # Test that subsample > 1 works as expected, i.e. output 1D array, with no masked values, or selected size
+        for npts in np.arange(2, np.size(array)):
+            random_values = gu.georaster.subsample_array(array, subsample=npts)
+            assert np.ndim(random_values) == 1
+            assert np.size(random_values) == npts
+            assert np.count_nonzero(random_values.mask) == 0
+
+        # Test if subsample > number of valid values => return all
+        random_values = gu.georaster.subsample_array(array, subsample=np.size(array) + 3)
+        assert np.all(np.sort(random_values) == array[~array.mask])
+
+        # Test if subsample = 1 => return all valid values
+        random_values = gu.georaster.subsample_array(array, subsample=1)
+        assert np.all(np.sort(random_values) == array[~array.mask])
+
+        # Test if subsample < 1
+        random_values = gu.georaster.subsample_array(array, subsample=0.5)
+        assert np.size(random_values) == int(np.size(array) * 0.5)
+
+        # Test with optional argument return_indices
+        indices = gu.georaster.subsample_array(array, subsample=0.3, return_indices=True)
+        assert np.ndim(indices) == 2
+        assert len(indices) == np.ndim(array)
+        assert np.ndim(array[indices]) == 1
+        assert np.size(array[indices]) == int(np.size(array) * 0.3)
+
+        # Check that we can pass an integer to fix the random state
+        sub42 = gu.georaster.subsample_array(array, subsample=10, random_state=42)
+        # Check by passing a generator directly
+        random_gen = np.random.RandomState(np.random.MT19937(np.random.SeedSequence(42)))
+        sub42_gen = gu.georaster.subsample_array(array, subsample=10, random_state=random_gen)
+        # Both should be equal
+        assert np.array_equal(sub42, sub42_gen)
+
+    def test_subdivide_array(self) -> None:
+        test_shape = (6, 4)
+        test_count = 4
+        subdivision_grid = gu.georaster.subdivide_array(test_shape, test_count)
+
+        assert subdivision_grid.shape == test_shape
+        assert np.unique(subdivision_grid).size == test_count
+
+        assert np.unique(gu.georaster.subdivide_array((3, 3), 3)).size == 3
+
+        with pytest.raises(ValueError, match=r"Expected a 2D shape, got 1D shape.*"):
+            gu.georaster.subdivide_array((5,), 2)
+
+        with pytest.raises(ValueError, match=r"Shape.*smaller than.*"):
+            gu.georaster.subdivide_array((5, 2), 15)
diff --git a/tests/test_spatial_tools.py b/tests/test_spatial_tools.py
deleted file mode 100644
index fffbda6a7..000000000
--- a/tests/test_spatial_tools.py
+++ /dev/null
@@ -1,562 +0,0 @@
-"""
-Functions to test the spatial tools.
-"""
-from __future__ import annotations
-
-import warnings
-from typing import Callable
-
-import numpy as np
-import pytest
-import rasterio as rio
-
-import geoutils as gu
-from geoutils import examples
-from geoutils.georaster import RasterType
-
-# Group rasters for for testing `load_multiple_rasters`
-# two overlapping, single band rasters
-# two overlapping, 1 and 3 band rasters
-# three overlapping rasters
-# TODO: add a case with different CRS - issue raised #310
-raster_groups = [
-    [gu.examples.get_path("everest_landsat_b4"), gu.examples.get_path("everest_landsat_b4_cropped")],
-    [gu.examples.get_path("everest_landsat_rgb"), gu.examples.get_path("everest_landsat_b4_cropped")],
-    [
-        gu.examples.get_path("everest_landsat_b4"),
-        gu.examples.get_path("everest_landsat_rgb"),
-        gu.examples.get_path("everest_landsat_b4_cropped"),
-    ],
-]
-
-
-@pytest.mark.parametrize("raster_paths", raster_groups)  # type: ignore
-def test_load_multiple_overlap(raster_paths: list[str]) -> None:
-    """
-    Test load_multiple_rasters functionalities, when rasters overlap -> no warning is raised
-    """
-    # - Test that with crop=False and ref_grid=None, rasters are simply loaded - #
-    output_rst: list[gu.Raster] = gu.spatial_tools.load_multiple_rasters(raster_paths, crop=False, ref_grid=None)
-    for k, rst in enumerate(output_rst):
-        assert rst.is_loaded
-        rst2 = gu.Raster(raster_paths[k])
-        assert rst == rst2
-
-    # - Test that with crop=True and ref_grid=None, rasters are cropped only in area of overlap - #
-    output_rst = gu.spatial_tools.load_multiple_rasters(raster_paths, crop=True, ref_grid=None)
-    ref_crs = gu.Raster(raster_paths[0], load_data=False).crs
-
-    # Save original and new bounds (as polygons) in the reference CRS
-    orig_poly_bounds = []
-    new_poly_bounds = []
-    for k, rst in enumerate(output_rst):
-        assert rst.is_loaded
-        rst2 = gu.Raster(raster_paths[k], load_data=False)
-        assert rst.crs == rst2.crs  # CRS should not have been changed
-        orig_poly_bounds.append(gu.projtools.bounds2poly(rst2.bounds, rst.crs, ref_crs))
-        new_poly_bounds.append(gu.projtools.bounds2poly(rst.bounds, rst.crs, ref_crs))
-
-    # Check that the new bounds are contained in the original bounds of all rasters
-    for poly1 in new_poly_bounds:
-        for poly2 in orig_poly_bounds:
-            assert poly2.contains(poly1)
-
-    # - Test that with crop=False and ref_grid=0, rasters all have the same grid as the reference - #
-    # For the landsat test case, a warning will be raised because nodata is None
-    with warnings.catch_warnings():
-        warnings.simplefilter("ignore", category=UserWarning)
-        output_rst = gu.spatial_tools.load_multiple_rasters(raster_paths, crop=False, ref_grid=0)
-
-    ref_rst = gu.Raster(raster_paths[0], load_data=False)
-    for k, rst in enumerate(output_rst):
-        rst2 = gu.Raster(raster_paths[k], load_data=False)
-        assert rst.is_loaded
-        # Georeferences are forced to ref
-        assert rst.crs == ref_rst.crs
-        assert rst.shape == ref_rst.shape
-        assert rst.transform == ref_rst.transform
-        # Original number of bounds and nodata must be preserved
-        assert rst.count == rst2.count
-        if rst2.nodata is not None:  # if none, reprojection with set a default value
-            assert rst.nodata == rst2.nodata
-
-
-raster_groups = [
-    [gu.examples.get_path("everest_landsat_b4"), gu.examples.get_path("exploradores_aster_dem")],
-]
-
-
-@pytest.mark.parametrize("raster_paths", raster_groups)  # type: ignore
-def test_load_multiple_no_overlap(raster_paths: list[str]) -> None:
-    """
-    Test load_multiple_rasters functionalities with rasters that do not overlap -> raises warning in certain cases
-    """
-    # - With crop=False and ref_grid=None, rasters are simply loaded - #
-    output_rst: list[gu.Raster] = gu.spatial_tools.load_multiple_rasters(raster_paths, crop=False, ref_grid=None)
-    for k, rst in enumerate(output_rst):
-        assert rst.is_loaded
-        rst2 = gu.Raster(raster_paths[k])
-        assert rst == rst2
-
-    # - With crop=True -> should raise a warning - #
-    with pytest.warns(UserWarning, match="Intersection is void, returning unloaded rasters."):
-        output_rst = gu.spatial_tools.load_multiple_rasters(raster_paths, crop=True, ref_grid=None)
-
-    # - Should work with crop=False and ref_grid=0 - #
-    # For the landsat test case, a warning will be raised because nodata is None
-    with warnings.catch_warnings():
-        warnings.simplefilter("ignore", category=UserWarning)
-        output_rst = gu.spatial_tools.load_multiple_rasters(raster_paths, crop=False, ref_grid=0)
-
-    ref_rst = gu.Raster(raster_paths[0], load_data=False)
-    for k, rst in enumerate(output_rst):
-        rst2 = gu.Raster(raster_paths[k], load_data=False)
-        assert rst.is_loaded
-        # Georeferences are forced to ref
-        assert rst.crs == ref_rst.crs
-        assert rst.shape == ref_rst.shape
-        assert rst.transform == ref_rst.transform
-        # Original number of bounds and nodata must be preserved
-        assert rst.count == rst2.count
-        if rst2.nodata is not None:  # if none, reprojection with set a default value
-            assert rst.nodata == rst2.nodata
-        # Logically, the non overlapping raster should have only masked values
-        if k != 0:
-            assert np.count_nonzero(~rst.data.mask) == 0
-
-
-class stack_merge_images:
-    """
-    Test cases for stacking and merging images
-    Split an image with some overlap, then stack/merge it, and validate bounds and shape.
-    Param `cls` is used to set the type of the output, e.g. gu.Raster (default).
-    """
-
-    def __init__(self, image: str, cls: Callable[[str], RasterType] = gu.Raster) -> None:
-        img = cls(examples.get_path(image))
-        self.img = img
-
-        # Find the easting midpoint of the img
-        x_midpoint = np.mean([img.bounds.right, img.bounds.left])
-        x_midpoint -= (x_midpoint - img.bounds.left) % img.res[0]
-
-        # Cut the img into two imgs that slightly overlap each other.
-        self.img1 = img.copy()
-        self.img1.crop(
-            rio.coords.BoundingBox(
-                right=x_midpoint + img.res[0] * 3, left=img.bounds.left, top=img.bounds.top, bottom=img.bounds.bottom
-            )
-        )
-        self.img2 = img.copy()
-        self.img2.crop(
-            rio.coords.BoundingBox(
-                left=x_midpoint - img.res[0] * 3, right=img.bounds.right, top=img.bounds.top, bottom=img.bounds.bottom
-            )
-        )
-
-        # To check that use_ref_bounds work - create a img that do not cover the whole extent
-        self.img3 = img.copy()
-        self.img3.crop(
-            rio.coords.BoundingBox(
-                left=x_midpoint - img.res[0] * 3,
-                right=img.bounds.right - img.res[0] * 2,
-                top=img.bounds.top,
-                bottom=img.bounds.bottom,
-            )
-        )
-
-
-@pytest.fixture
-def images_1d():  # type: ignore
-    return stack_merge_images("everest_landsat_b4")
-
-
-@pytest.fixture
-def sat_images():  # type: ignore
-    return stack_merge_images("everest_landsat_b4", cls=gu.SatelliteImage)
-
-
-@pytest.fixture
-def images_3d():  # type: ignore
-    return stack_merge_images("everest_landsat_rgb")
-
-
-@pytest.mark.parametrize(
-    "rasters", [pytest.lazy_fixture("images_1d"), pytest.lazy_fixture("sat_images"), pytest.lazy_fixture("images_3d")]
-)  # type: ignore
-def test_stack_rasters(rasters) -> None:  # type: ignore
-    """Test stack_rasters"""
-
-    # Silence the reprojection warning for default nodata value
-    warnings.filterwarnings("ignore", category=UserWarning, message="New nodata value found in the data array.*")
-    warnings.filterwarnings("ignore", category=UserWarning, message="For reprojection, dst_nodata must be set.*")
-
-    # Merge the two overlapping DEMs and check that output bounds and shape is correct
-    if rasters.img1.count > 1:
-        # Check warning is raised once
-        with pytest.warns(
-            expected_warning=UserWarning,
-            match="Some input Rasters have multiple bands, only their first band will be used.",
-        ):
-            stacked_img = gu.spatial_tools.stack_rasters([rasters.img1, rasters.img2])
-        # Then ignore the other ones
-        warnings.filterwarnings(
-            "ignore",
-            category=UserWarning,
-            message="Some input Rasters have multiple bands, only their first band will be used.",
-        )
-
-    else:
-        stacked_img = gu.spatial_tools.stack_rasters([rasters.img1, rasters.img2])
-
-    assert stacked_img.count == 2
-    assert rasters.img.shape == stacked_img.shape
-    assert type(stacked_img) == gu.Raster  # Check output object is always Raster, whatever input was given
-    assert np.count_nonzero(np.isnan(stacked_img.data)) == 0  # Check no NaNs introduced
-
-    merged_bounds = gu.projtools.merge_bounds(
-        [rasters.img1.bounds, rasters.img2.bounds], resolution=rasters.img1.res[0]
-    )
-    assert merged_bounds == stacked_img.bounds
-
-    # Check that reference works with input Raster
-    stacked_img = gu.spatial_tools.stack_rasters([rasters.img1, rasters.img2], reference=rasters.img)
-    assert rasters.img.bounds == stacked_img.bounds
-
-    # Others than int or gu.Raster should raise a ValueError
-    try:
-        stacked_img = gu.spatial_tools.stack_rasters([rasters.img1, rasters.img2], reference="a string")
-    except ValueError as exception:
-        if "reference should be" not in str(exception):
-            raise exception
-
-    # Check that use_ref_bounds works - use a img that do not cover the whole extent
-
-    # This case should not preserve original extent
-    stacked_img = gu.spatial_tools.stack_rasters([rasters.img1, rasters.img3])
-    assert stacked_img.bounds != rasters.img.bounds
-
-    # This case should preserve original extent
-    stacked_img2 = gu.spatial_tools.stack_rasters(
-        [rasters.img1, rasters.img3], reference=rasters.img, use_ref_bounds=True
-    )
-    assert stacked_img2.bounds == rasters.img.bounds
-
-
-@pytest.mark.parametrize(
-    "rasters", [pytest.lazy_fixture("images_1d"), pytest.lazy_fixture("images_3d")]
-)  # type: ignore
-def test_merge_rasters(rasters) -> None:  # type: ignore
-    """Test merge_rasters"""
-    # Merge the two overlapping DEMs and check that it closely resembles the initial DEM
-
-    # Silence the reprojection warning for default nodata value
-    warnings.filterwarnings("ignore", category=UserWarning, message="New nodata value found in the data array.*")
-    warnings.filterwarnings("ignore", category=UserWarning, message="For reprojection, dst_nodata must be set.*")
-
-    # Ignore warning already checked in test_stack_rasters
-    if rasters.img1.count > 1:
-        warnings.filterwarnings(
-            "ignore",
-            category=UserWarning,
-            message="Some input Rasters have multiple bands, only their first band will be used.",
-        )
-
-    merged_img = gu.spatial_tools.merge_rasters([rasters.img1, rasters.img2], merge_algorithm=np.nanmean)
-
-    assert rasters.img.shape == merged_img.shape
-    assert rasters.img.bounds == merged_img.bounds
-    assert np.count_nonzero(np.isnan(merged_img.data)) == 0  # Check no NaNs introduced
-
-    diff = rasters.img.data - merged_img.data
-
-    assert np.abs(np.nanmean(diff)) < 1
-
-    # Check that reference works
-    merged_img2 = gu.spatial_tools.merge_rasters([rasters.img1, rasters.img2], reference=rasters.img)
-    assert merged_img2 == merged_img
-
-
-def test_subdivide_array() -> None:
-
-    test_shape = (6, 4)
-    test_count = 4
-    subdivision_grid = gu.spatial_tools.subdivide_array(test_shape, test_count)
-
-    assert subdivision_grid.shape == test_shape
-    assert np.unique(subdivision_grid).size == test_count
-
-    assert np.unique(gu.spatial_tools.subdivide_array((3, 3), 3)).size == 3
-
-    with pytest.raises(ValueError, match=r"Expected a 2D shape, got 1D shape.*"):
-        gu.spatial_tools.subdivide_array((5,), 2)
-
-    with pytest.raises(ValueError, match=r"Shape.*smaller than.*"):
-        gu.spatial_tools.subdivide_array((5, 2), 15)
-
-
-@pytest.mark.parametrize("dtype", ["uint8", "uint16", "int32", "float32", "float16"])  # type: ignore
-@pytest.mark.parametrize(
-    "mask_and_viewable",
-    [
-        (None, True),  # An ndarray with no mask should support views
-        (False, True),  # A masked array with an empty mask should support views
-        ([True, False, False, False], False),  # A masked array with an occupied mask should not support views.
-        ([False, False, False, False], True),  # A masked array with an empty occupied mask should support views.
-    ],
-)  # type: ignore
-@pytest.mark.parametrize(
-    "shape_and_check_passes",
-    [
-        ((1, 2, 2), True),  # A 3D array with a shape[0] == 1 is okay.
-        ((2, 1, 2), False),  # A 3D array with a shape[0] != 1 is not okay.
-        ((2, 2), True),  # A 2D array is okay.
-        ((4,), True),  # A 1D array is okay.
-    ],
-)  # type: ignore
-def test_get_array_and_mask(
-    dtype: str,
-    mask_and_viewable: tuple[None | bool | list[bool], bool],
-    shape_and_check_passes: tuple[tuple[int, ...], bool],
-) -> None:
-    """Validate that the function returns views when expected, and copies otherwise."""
-    warnings.simplefilter("error")
-
-    masked_values, view_should_be_possible = mask_and_viewable
-    shape, check_should_pass = shape_and_check_passes
-
-    # Create an array of the specified dtype
-    array = np.ones(shape, dtype=dtype)
-    if masked_values is not None:
-        if masked_values is False:
-            array = np.ma.masked_array(array)
-        else:
-            array = np.ma.masked_array(array, mask=np.reshape(masked_values, array.shape))
-
-    # Validate that incorrect shapes raise the correct error.
-    if not check_should_pass:
-        with pytest.raises(ValueError, match="Invalid array shape given"):
-            gu.spatial_tools.get_array_and_mask(array, check_shape=True)
-
-        # Stop the test here as the failure is now validated.
-        return
-
-    # Get a copy of the array and check its shape (it should always pass at this point)
-    arr, _ = gu.spatial_tools.get_array_and_mask(array, copy=True, check_shape=True)
-
-    # Validate that the array is a copy
-    assert not np.shares_memory(arr, array)
-
-    # If it was an integer dtype and it had a mask, validate that the array is now "float32"
-    if np.issubdtype(dtype, np.integer) and np.any(masked_values or False):
-        assert arr.dtype == "float32"
-
-    # If there was no mask or the mask was empty, validate that arr and array are equivalent
-    if not np.any(masked_values or False):
-        assert np.sum(np.abs(array - arr)) == 0.0
-
-    with warnings.catch_warnings(record=True) as caught_warnings:
-        warnings.simplefilter("always")
-
-        # Try to create a view.
-        arr_view, mask = gu.spatial_tools.get_array_and_mask(array, copy=False)
-
-        # If it should be possible, validate that there were no warnings.
-        if view_should_be_possible:
-            assert len(caught_warnings) == 0, (caught_warnings[0].message, array)
-        # Otherwise, validate that one warning was raised with the correct text.
-        else:
-            assert len(caught_warnings) == 1
-            assert "Copying is required" in str(caught_warnings[0].message)
-
-    # Validate that the view shares memory if it was possible, or otherwise that it is a copy.
-    if view_should_be_possible:
-        assert np.shares_memory(array, arr_view)
-    else:
-        assert not np.shares_memory(array, arr_view)
-
-
-class TestSubsample:
-    """
-    Different examples of 1D to 3D arrays with masked values for testing.
-    """
-
-    # Case 1 - 1D array, 1 masked value
-    array1D = np.ma.masked_array(np.arange(10), mask=np.zeros(10))
-    array1D.mask[3] = True
-    assert np.ndim(array1D) == 1
-    assert np.count_nonzero(array1D.mask) > 0
-
-    # Case 2 - 2D array, 1 masked value
-    array2D = np.ma.masked_array(np.arange(9).reshape((3, 3)), mask=np.zeros((3, 3)))
-    array2D.mask[0, 1] = True
-    assert np.ndim(array2D) == 2
-    assert np.count_nonzero(array2D.mask) > 0
-
-    # Case 3 - 3D array, 1 masked value
-    array3D = np.ma.masked_array(np.arange(9).reshape((1, 3, 3)), mask=np.zeros((1, 3, 3)))
-    array3D = np.ma.vstack((array3D, array3D + 10))
-    array3D.mask[0, 0, 1] = True
-    assert np.ndim(array3D) == 3
-    assert np.count_nonzero(array3D.mask) > 0
-
-    @pytest.mark.parametrize("array", [array1D, array2D, array3D])  # type: ignore
-    def test_subsample(self, array: np.ndarray) -> None:
-        """
-        Test gu.spatial_tools.subsample_raster.
-        """
-        # Test that subsample > 1 works as expected, i.e. output 1D array, with no masked values, or selected size
-        for npts in np.arange(2, np.size(array)):
-            random_values = gu.spatial_tools.subsample_raster(array, subsample=npts)
-            assert np.ndim(random_values) == 1
-            assert np.size(random_values) == npts
-            assert np.count_nonzero(random_values.mask) == 0
-
-        # Test if subsample > number of valid values => return all
-        random_values = gu.spatial_tools.subsample_raster(array, subsample=np.size(array) + 3)
-        assert np.all(np.sort(random_values) == array[~array.mask])
-
-        # Test if subsample = 1 => return all valid values
-        random_values = gu.spatial_tools.subsample_raster(array, subsample=1)
-        assert np.all(np.sort(random_values) == array[~array.mask])
-
-        # Test if subsample < 1
-        random_values = gu.spatial_tools.subsample_raster(array, subsample=0.5)
-        assert np.size(random_values) == int(np.size(array) * 0.5)
-
-        # Test with optional argument return_indices
-        indices = gu.spatial_tools.subsample_raster(array, subsample=0.3, return_indices=True)
-        assert np.ndim(indices) == 2
-        assert len(indices) == np.ndim(array)
-        assert np.ndim(array[indices]) == 1
-        assert np.size(array[indices]) == int(np.size(array) * 0.3)
-
-        # Check that we can pass an integer to fix the random state
-        sub42 = gu.spatial_tools.subsample_raster(array, subsample=10, random_state=42)
-        # Check by passing a generator directly
-        random_gen = np.random.RandomState(np.random.MT19937(np.random.SeedSequence(42)))
-        sub42_gen = gu.spatial_tools.subsample_raster(array, subsample=10, random_state=random_gen)
-        # Both should be equal
-        assert np.array_equal(sub42, sub42_gen)
-
-
-class TestRasterTools:
-    def test_get_valid_extent(self) -> None:
-        """Check the function to get valid extent."""
-
-        # Create an artificial array and masked array
-        arr = np.ones(shape=(5, 5))
-        arr_mask = np.zeros(shape=(5, 5), dtype=bool)
-        mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
-
-        # For no invalid values, the function should return the edges
-        # For the array
-        assert (0, 4, 0, 4) == gu.spatial_tools.get_valid_extent(arr)
-        # For the masked-array
-        assert (0, 4, 0, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
-
-        # 1/ First column:
-        # If we mask it in the masked array
-        mask_ma[0, :] = np.ma.masked
-        assert (1, 4, 0, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
-
-        # If we changed the array to NaNs
-        arr[0, :] = np.nan
-        assert (1, 4, 0, 4) == gu.spatial_tools.get_valid_extent(arr)
-        mask_ma.data[0, :] = np.nan
-        mask_ma.mask = False
-        assert (1, 4, 0, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
-
-        # 2/ First row:
-        arr = np.ones(shape=(5, 5))
-        arr_mask = np.zeros(shape=(5, 5), dtype=bool)
-        mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
-        # If we mask it in the masked array
-        mask_ma[:, 0] = np.ma.masked
-        assert (0, 4, 1, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
-
-        # If we changed the array to NaNs
-        arr[:, 0] = np.nan
-        assert (0, 4, 1, 4) == gu.spatial_tools.get_valid_extent(arr)
-        mask_ma.data[:, 0] = np.nan
-        mask_ma.mask = False
-        assert (0, 4, 1, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
-
-        # 3/ Last column:
-        arr = np.ones(shape=(5, 5))
-        arr_mask = np.zeros(shape=(5, 5), dtype=bool)
-        mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
-
-        # If we mask it in the masked array
-        mask_ma[-1, :] = np.ma.masked
-        assert (0, 3, 0, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
-
-        # If we changed the array to NaNs
-        arr[-1, :] = np.nan
-        assert (0, 3, 0, 4) == gu.spatial_tools.get_valid_extent(arr)
-        mask_ma.data[-1, :] = np.nan
-        mask_ma.mask = False
-        assert (0, 3, 0, 4) == gu.spatial_tools.get_valid_extent(mask_ma)
-
-        # 4/ Last row:
-        arr = np.ones(shape=(5, 5))
-        arr_mask = np.zeros(shape=(5, 5), dtype=bool)
-        mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
-
-        # If we mask it in the masked array
-        mask_ma[:, -1] = np.ma.masked
-        assert (0, 4, 0, 3) == gu.spatial_tools.get_valid_extent(mask_ma)
-
-        # If we changed the array to NaNs
-        arr[:, -1] = np.nan
-        assert (0, 4, 0, 3) == gu.spatial_tools.get_valid_extent(arr)
-        mask_ma.data[:, -1] = np.nan
-        mask_ma.mask = False
-        assert (0, 4, 0, 3) == gu.spatial_tools.get_valid_extent(mask_ma)
-
-    def test_get_xy_rotated(self) -> None:
-        """Check the function to rotate array."""
-
-        # Create an artificial raster
-        width = height = 5
-        transform = rio.transform.from_bounds(0, 0, 1, 1, width, height)
-        r1 = gu.Raster.from_array(
-            np.random.randint(1, 255, (height, width), dtype="uint8"), transform=transform, crs=None
-        )
-
-        # First, we get initial coords
-        xx, yy = r1.coords(grid=True)
-
-        # Rotating the coordinates 90 degrees should be the same as rotating the array
-        xx90, yy90 = gu.spatial_tools.get_xy_rotated(r1, along_track_angle=90)
-        assert np.allclose(np.rot90(xx90), xx)
-        assert np.allclose(np.rot90(yy90), yy)
-
-        # Same for 180 degrees
-        xx180, yy180 = gu.spatial_tools.get_xy_rotated(r1, along_track_angle=180)
-        assert np.allclose(np.rot90(xx180, k=2), xx)
-        assert np.allclose(np.rot90(yy180, k=2), yy)
-
-        # Same for 270 degrees
-        xx270, yy270 = gu.spatial_tools.get_xy_rotated(r1, along_track_angle=270)
-        assert np.allclose(np.rot90(xx270, k=3), xx)
-        assert np.allclose(np.rot90(yy270, k=3), yy)
-
-        # 360 degrees should get us back on our feet
-        xx360, yy360 = gu.spatial_tools.get_xy_rotated(r1, along_track_angle=360)
-        assert np.allclose(xx360, xx)
-        assert np.allclose(yy360, yy)
-
-        # Test that the values make sense for 45 degrees
-        xx45, yy45 = gu.spatial_tools.get_xy_rotated(r1, along_track_angle=45)
-        # Should have zero on the upper left corner for xx
-        assert xx45[0, 0] == pytest.approx(0)
-        # Then a multiple of sqrt2 along each dimension
-        assert xx45[1, 0] == pytest.approx(xx45[0, 1]) == pytest.approx(0.1 * np.sqrt(2))
-        # The lower right corner should have the highest coordinate (0.8) times sqrt(2)
-        assert xx45[-1, -1] == pytest.approx(np.max(xx) * np.sqrt(2))
-
-        # Finally, yy should be rotated by 90
-        assert np.allclose(np.rot90(xx45), yy45)
-
-        xx, yy = gu.spatial_tools.get_xy_rotated(r1, along_track_angle=90)

From fc4590369f7c58aa7506100139b9b5034b719613 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 13 Mar 2023 14:56:52 -0700
Subject: [PATCH 117/184] Linting

---
 geoutils/georaster/__init__.py |  6 +++---
 geoutils/georaster/array.py    |  4 ++--
 geoutils/georaster/raster.py   | 11 +++++++----
 geoutils/georaster/sampling.py |  4 +++-
 tests/test_array.py            | 12 ++++++------
 tests/test_georaster.py        |  2 +-
 tests/test_multiraster.py      | 11 ++++-------
 tests/test_sampling.py         |  1 +
 8 files changed, 27 insertions(+), 24 deletions(-)

diff --git a/geoutils/georaster/__init__.py b/geoutils/georaster/__init__.py
index 0eee67dbc..87ac7f63e 100644
--- a/geoutils/georaster/__init__.py
+++ b/geoutils/georaster/__init__.py
@@ -1,7 +1,7 @@
 from geoutils.georaster.raster import Raster, RasterType, Mask  # noqa isort:skip
+from geoutils.georaster.array import *  # noqa
+from geoutils.georaster.multiraster import *  # noqa
+from geoutils.georaster.sampling import *  # noqa
 from geoutils.georaster.satimg import SatelliteImage  # noqa
-from geoutils.georaster.array import * # noqa
-from geoutils.georaster.sampling import * # noqa
-from geoutils.georaster.multiraster import * # noqa
 
 __all__ = ["RasterType", "Raster"]
diff --git a/geoutils/georaster/array.py b/geoutils/georaster/array.py
index 104ba2a56..2a64ed3e1 100644
--- a/geoutils/georaster/array.py
+++ b/geoutils/georaster/array.py
@@ -5,8 +5,10 @@
 import warnings
 
 import numpy as np
+
 import geoutils as gu
 
+
 def get_mask(array: np.ndarray | np.ma.masked_array) -> np.ndarray:
     """
     Return the mask of invalid values, whether array is a ndarray with NaNs or a np.ma.masked_array.
@@ -104,5 +106,3 @@ def get_xy_rotated(raster: gu.Raster, along_track_angle: float) -> tuple[np.ndar
     yyr -= np.nanmin(yyr)
 
     return xxr, yyr
-
-
diff --git a/geoutils/georaster/raster.py b/geoutils/georaster/raster.py
index 537ef2498..d13a74cb6 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/georaster/raster.py
@@ -32,9 +32,9 @@
 
 import geoutils.geovector as gv
 from geoutils._typing import AnyNumber, ArrayLike, DTypeLike
+from geoutils.georaster.sampling import subsample_array
 from geoutils.geovector import Vector
 from geoutils.projtools import _get_bounds_projected
-from geoutils.georaster.sampling import subsample_array
 
 # If python38 or above, Literal is builtin. Otherwise, use typing_extensions
 try:
@@ -2971,8 +2971,8 @@ def subsample(
         self,
         subsample: int | float,
         return_indices: bool = False,
-        random_state: None | np.random.RandomState | np.random.Generator | int = None
-        ) -> np.ndarray:
+        random_state: None | np.random.RandomState | np.random.Generator | int = None,
+    ) -> np.ndarray:
         """
         Randomly subsample the raster. Only valid values are considered.
 
@@ -2983,7 +2983,10 @@ def subsample(
         :return: Array of subsampled valid values, or array of subsampled indices.
         """
 
-        return subsample_array(array=self.data, subsample=subsample, return_indices=return_indices, random_state=random_state)
+        return subsample_array(
+            array=self.data, subsample=subsample, return_indices=return_indices, random_state=random_state
+        )
+
 
 class Mask(Raster):
     """
diff --git a/geoutils/georaster/sampling.py b/geoutils/georaster/sampling.py
index 4972480be..8c76e7b23 100644
--- a/geoutils/georaster/sampling.py
+++ b/geoutils/georaster/sampling.py
@@ -3,8 +3,10 @@
 from __future__ import annotations
 
 import numpy as np
+
 from geoutils.georaster.array import get_mask
 
+
 def subsample_array(
     array: np.ndarray | np.ma.masked_array,
     subsample: float | int,
@@ -151,4 +153,4 @@ def subdivide_array(shape: tuple[int, ...], count: int) -> np.ndarray:
     # Upscale the grid to fit the output shape using nearest neighbour scaling.
     indices = skimage.transform.resize(small_indices, shape, order=0, preserve_range=True).astype(int)
 
-    return indices.reshape(shape)
\ No newline at end of file
+    return indices.reshape(shape)
diff --git a/tests/test_array.py b/tests/test_array.py
index 058594660..b2f3a1d01 100644
--- a/tests/test_array.py
+++ b/tests/test_array.py
@@ -9,8 +9,8 @@
 
 import geoutils as gu
 
-class TestArray:
 
+class TestArray:
     @pytest.mark.parametrize("dtype", ["uint8", "uint16", "int32", "float32", "float16"])  # type: ignore
     @pytest.mark.parametrize(
         "mask_and_viewable",
@@ -30,10 +30,11 @@ class TestArray:
             ((4,), True),  # A 1D array is okay.
         ],
     )  # type: ignore
-    def test_get_array_and_mask(self,
-            dtype: str,
-            mask_and_viewable: tuple[None | bool | list[bool], bool],
-            shape_and_check_passes: tuple[tuple[int, ...], bool],
+    def test_get_array_and_mask(
+        self,
+        dtype: str,
+        mask_and_viewable: tuple[None | bool | list[bool], bool],
+        shape_and_check_passes: tuple[tuple[int, ...], bool],
     ) -> None:
         """Validate that the function returns views when expected, and copies otherwise."""
         warnings.simplefilter("error")
@@ -91,7 +92,6 @@ def test_get_array_and_mask(self,
         else:
             assert not np.shares_memory(array, arr_view)
 
-
     def test_get_valid_extent(self) -> None:
         """Check the function to get valid extent."""
 
diff --git a/tests/test_georaster.py b/tests/test_georaster.py
index 694278210..cca0240bc 100644
--- a/tests/test_georaster.py
+++ b/tests/test_georaster.py
@@ -2214,7 +2214,7 @@ def test_save(self, example: str) -> None:
         except (NotADirectoryError, PermissionError):
             pass
 
-    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path, landsat_rgb_path])
+    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path, landsat_rgb_path])  # type: ignore
     def test_coords(self, example: str) -> None:
 
         img = gu.Raster(self.landsat_b4_path)
diff --git a/tests/test_multiraster.py b/tests/test_multiraster.py
index 1f9f9cbfb..bf723febd 100644
--- a/tests/test_multiraster.py
+++ b/tests/test_multiraster.py
@@ -72,9 +72,9 @@ def images_3d():  # type: ignore
 
 
 class TestMultiRaster:
-
     @pytest.mark.parametrize(
-        "rasters", [pytest.lazy_fixture("images_1d"), pytest.lazy_fixture("sat_images"), pytest.lazy_fixture("images_3d")]
+        "rasters",
+        [pytest.lazy_fixture("images_1d"), pytest.lazy_fixture("sat_images"), pytest.lazy_fixture("images_3d")],
     )  # type: ignore
     def test_stack_rasters(self, rasters) -> None:  # type: ignore
         """Test stack_rasters"""
@@ -87,8 +87,8 @@ def test_stack_rasters(self, rasters) -> None:  # type: ignore
         if rasters.img1.count > 1:
             # Check warning is raised once
             with pytest.warns(
-                    expected_warning=UserWarning,
-                    match="Some input Rasters have multiple bands, only their first band will be used.",
+                expected_warning=UserWarning,
+                match="Some input Rasters have multiple bands, only their first band will be used.",
             ):
                 stacked_img = gu.georaster.stack_rasters([rasters.img1, rasters.img2])
             # Then ignore the other ones
@@ -167,8 +167,6 @@ def test_merge_rasters(self, rasters) -> None:  # type: ignore
         merged_img2 = gu.georaster.merge_rasters([rasters.img1, rasters.img2], reference=rasters.img)
         assert merged_img2 == merged_img
 
-
-
     # Group rasters for for testing `load_multiple_rasters`
     # two overlapping, single band rasters
     # two overlapping, 1 and 3 band rasters
@@ -275,4 +273,3 @@ def test_load_multiple_no_overlap(self, raster_paths: list[str]) -> None:
             # Logically, the non overlapping raster should have only masked values
             if k != 0:
                 assert np.count_nonzero(~rst.data.mask) == 0
-
diff --git a/tests/test_sampling.py b/tests/test_sampling.py
index 940bf9dd4..39fc2df6e 100644
--- a/tests/test_sampling.py
+++ b/tests/test_sampling.py
@@ -7,6 +7,7 @@
 
 import geoutils as gu
 
+
 class TestSubsampling:
     """
     Different examples of 1D to 3D arrays with masked values for testing.

From f52609c0bd4e6c45aff92f50be4f6763df80caa3 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 13 Mar 2023 15:35:25 -0700
Subject: [PATCH 118/184] Rename modules georaster and geovector into raster
 and vector (geo is already in geoutils)

---
 .pre-commit-config.yaml                       |  2 +-
 README.md                                     |  4 +-
 {geoutils => bin}/geoviewer.py                |  4 +-
 doc/source/conf.py                            |  8 ++--
 doc/source/core_array_funcs.md                |  2 +-
 doc/source/core_inheritance.md                |  4 +-
 doc/source/quick_start.md                     |  4 +-
 doc/source/satimg_class.md                    |  2 +-
 geoutils/__init__.py                          |  6 +--
 geoutils/georaster/__init__.py                |  7 ---
 geoutils/raster/__init__.py                   |  7 +++
 geoutils/{georaster => raster}/array.py       |  0
 geoutils/{georaster => raster}/multiraster.py |  6 +--
 geoutils/{georaster => raster}/raster.py      | 10 ++--
 geoutils/{georaster => raster}/sampling.py    |  2 +-
 geoutils/{georaster => raster}/satimg.py      |  2 +-
 geoutils/{geovector.py => vector.py}          |  2 +-
 setup.py                                      |  7 ++-
 tests/test_array.py                           | 46 +++++++++----------
 tests/test_geoviewer.py                       |  9 ++--
 tests/test_multiraster.py                     | 30 ++++++------
 tests/{test_georaster.py => test_raster.py}   | 16 +++----
 tests/test_sampling.py                        | 24 +++++-----
 tests/test_satimg.py                          | 38 +++++++--------
 tests/{test_geovector.py => test_vector.py}   | 18 ++++----
 25 files changed, 131 insertions(+), 129 deletions(-)
 rename {geoutils => bin}/geoviewer.py (98%)
 delete mode 100644 geoutils/georaster/__init__.py
 create mode 100644 geoutils/raster/__init__.py
 rename geoutils/{georaster => raster}/array.py (100%)
 rename geoutils/{georaster => raster}/multiraster.py (98%)
 rename geoutils/{georaster => raster}/raster.py (99%)
 rename geoutils/{georaster => raster}/sampling.py (99%)
 rename geoutils/{georaster => raster}/satimg.py (99%)
 rename geoutils/{geovector.py => vector.py} (99%)
 rename tests/{test_georaster.py => test_raster.py} (99%)
 rename tests/{test_geovector.py => test_vector.py} (97%)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 16ee23464..24e4f8c0e 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -16,7 +16,7 @@ repos:
                   types_or: [python, rst, markdown]
                   files: ^(geoutils|doc|tests)/
 
-        # Replace relative imports (e.g. 'from . import georaster' -> 'from geoutils import georaster')
+        # Replace relative imports (e.g. 'from . import raster' -> 'from geoutils import raster')
         - repo: https://github.com/MarcoGorelli/absolufy-imports
           rev: v0.3.1
           hooks:
diff --git a/README.md b/README.md
index 87589d328..1dc549829 100644
--- a/README.md
+++ b/README.md
@@ -39,8 +39,8 @@ See the full documentation at https://geoutils.readthedocs.io.
 ## Structure
 
 GeoUtils is composed of three libraries:
-- `georaster.py` to handle raster data set. In particular, a Raster class to load a raster file along with metadata.
-- `geovector.py` to handle vector data set. In particular, a Vector class to load a raster file along with metadata.
+- `raster.py` to handle raster data set. In particular, a Raster class to load a raster file along with metadata.
+- `vector.py` to handle vector data set. In particular, a Vector class to load a raster file along with metadata.
 - `projtools.py` with various tools around projections.
 
 
diff --git a/geoutils/geoviewer.py b/bin/geoviewer.py
similarity index 98%
rename from geoutils/geoviewer.py
rename to bin/geoviewer.py
index 77be6b445..60b58e500 100755
--- a/geoutils/geoviewer.py
+++ b/bin/geoviewer.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python
 """
-geoutils.geoviewer provides a toolset for plotting raster and vector data
+Geoviewer provides a command line tool for plotting raster and vector data.
 
 TO DO:
 - change so that only needed band is loaded
@@ -14,7 +14,7 @@
 import matplotlib.pyplot as plt
 import numpy as np
 
-from geoutils.georaster import Raster
+from geoutils.raster import Raster
 
 
 def getparser() -> argparse.ArgumentParser:
diff --git a/doc/source/conf.py b/doc/source/conf.py
index e2894dcd7..076ec2729 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -91,10 +91,10 @@
 
 # To avoid long path names in inheritance diagrams
 inheritance_alias = {
-    "geoutils.georaster.raster.Raster": "geoutils.Raster",
-    "geoutils.georaster.raster.Mask": "geoutils.Mask",
-    "geoutils.georaster.satimg.SatelliteImage": "geoutils.SatelliteImage",
-    "geoutils.geovector.Vector": "geoutils.Vector",
+    "geoutils.raster.raster.Raster": "geoutils.Raster",
+    "geoutils.raster.raster.Mask": "geoutils.Mask",
+    "geoutils.raster.satimg.SatelliteImage": "geoutils.SatelliteImage",
+    "geoutils.vector.Vector": "geoutils.Vector",
     "xdem.dem.DEM": "xdem.DEM",
 }
 
diff --git a/doc/source/core_array_funcs.md b/doc/source/core_array_funcs.md
index 05dfa9a8a..df97d5499 100644
--- a/doc/source/core_array_funcs.md
+++ b/doc/source/core_array_funcs.md
@@ -100,7 +100,7 @@ np.count_nonzero(raster, axis=2)
 
 Not all array functions are supported, however. GeoUtils supports nearly all [mathematical functions](https://numpy.org/doc/stable/reference/routines.math.html),
 [masked-array functions](https://numpy.org/doc/stable/reference/routines.ma.html) and [logical functions](https://numpy.org/doc/stable/reference/routines.logic.html).
-A full list of supported array function is available in {attr}`geoutils.georaster.raster.handled_array_funcs`.
+A full list of supported array function is available in {attr}`geoutils.raster.raster.handled_array_funcs`.
 
 ## Respecting masked values
 
diff --git a/doc/source/core_inheritance.md b/doc/source/core_inheritance.md
index 43a4819a4..2f9383507 100644
--- a/doc/source/core_inheritance.md
+++ b/doc/source/core_inheritance.md
@@ -18,8 +18,8 @@ Below is a diagram showing current {class}`~geoutils.Raster` inheritance, which
 for analyzing digital elevation models.
 
 ```{eval-rst}
-.. inheritance-diagram:: geoutils.georaster.raster geoutils.georaster.satimg xdem.dem.DEM
-    :top-classes: geoutils.georaster.raster.Raster
+.. inheritance-diagram:: geoutils.raster.raster geoutils.raster.satimg xdem.dem.DEM
+    :top-classes: geoutils.raster.raster.Raster
 ```
 
 ```{note}
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index a57fd5c08..ff36f9b94 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -267,8 +267,8 @@ There are many possible subclass to derive from a {class}`~geoutils.Raster`. Her
 [xDEM](https://xdem.readthedocs.io/en/latest/index.html) through the {class}`~xdem.DEM` class for analyzing digital elevation models:
 
 ```{eval-rst}
-.. inheritance-diagram:: geoutils.georaster.raster geoutils.georaster.satimg xdem.dem.DEM
-    :top-classes: geoutils.georaster.raster.Raster
+.. inheritance-diagram:: geoutils.raster.raster geoutils.raster.satimg xdem.dem.DEM
+    :top-classes: geoutils.raster.raster.Raster
 ```
 ```{seealso}
 The {class}`~xdem.DEM` class of [xDEM](https://xdem.readthedocs.io/en/latest/index.html) re-implements all methods of [gdalDEM](https://gdal.org/programs/gdaldem.html)
diff --git a/doc/source/satimg_class.md b/doc/source/satimg_class.md
index 42a90aefe..aa6f41a30 100644
--- a/doc/source/satimg_class.md
+++ b/doc/source/satimg_class.md
@@ -34,7 +34,7 @@ Right now are supported:
 
 The {class}`~geoutils.SatelliteImage.datetime` is always parsed or deduced.
 
-For tiled products such as SRTM, the tile naming is also retrieved, which can be converted to geographic extent with {func}`geoutils.georaster.satimg.parse_tile_attr_from_name`.
+For tiled products such as SRTM, the tile naming is also retrieved, which can be converted to geographic extent with {func}`geoutils.raster.satimg.parse_tile_attr_from_name`.
 
 ```{code-cell} ipython3
 import geoutils as gu
diff --git a/geoutils/__init__.py b/geoutils/__init__.py
index b1659e23b..36652a7ef 100644
--- a/geoutils/__init__.py
+++ b/geoutils/__init__.py
@@ -2,9 +2,9 @@
 GeoUtils is a python package of raster and vector tools.
 """
 
-from geoutils import examples, georaster, geovector, projtools  # noqa
-from geoutils.georaster import Mask, Raster, SatelliteImage  # noqa
-from geoutils.geovector import Vector  # noqa
+from geoutils import examples, raster, vector, projtools  # noqa
+from geoutils.raster import Mask, Raster, SatelliteImage  # noqa
+from geoutils.vector import Vector  # noqa
 
 try:
     from geoutils.version import version as __version__  # noqa
diff --git a/geoutils/georaster/__init__.py b/geoutils/georaster/__init__.py
deleted file mode 100644
index 87ac7f63e..000000000
--- a/geoutils/georaster/__init__.py
+++ /dev/null
@@ -1,7 +0,0 @@
-from geoutils.georaster.raster import Raster, RasterType, Mask  # noqa isort:skip
-from geoutils.georaster.array import *  # noqa
-from geoutils.georaster.multiraster import *  # noqa
-from geoutils.georaster.sampling import *  # noqa
-from geoutils.georaster.satimg import SatelliteImage  # noqa
-
-__all__ = ["RasterType", "Raster"]
diff --git a/geoutils/raster/__init__.py b/geoutils/raster/__init__.py
new file mode 100644
index 000000000..aceb2c43b
--- /dev/null
+++ b/geoutils/raster/__init__.py
@@ -0,0 +1,7 @@
+from geoutils.raster.raster import Raster, RasterType, Mask  # noqa isort:skip
+from geoutils.raster.array import *  # noqa
+from geoutils.raster.multiraster import *  # noqa
+from geoutils.raster.sampling import *  # noqa
+from geoutils.raster.satimg import SatelliteImage  # noqa
+
+__all__ = ["RasterType", "Raster"]
diff --git a/geoutils/georaster/array.py b/geoutils/raster/array.py
similarity index 100%
rename from geoutils/georaster/array.py
rename to geoutils/raster/array.py
diff --git a/geoutils/georaster/multiraster.py b/geoutils/raster/multiraster.py
similarity index 98%
rename from geoutils/georaster/multiraster.py
rename to geoutils/raster/multiraster.py
index 9a3e1abc4..09eed1631 100644
--- a/geoutils/georaster/multiraster.py
+++ b/geoutils/raster/multiraster.py
@@ -10,8 +10,8 @@
 from tqdm import tqdm
 
 import geoutils as gu
-from geoutils.georaster import Raster, RasterType, get_array_and_mask
-from geoutils.georaster.raster import _default_nodata
+from geoutils.raster import Raster, RasterType, get_array_and_mask
+from geoutils.raster.raster import _default_nodata
 from geoutils.misc import resampling_method_from_str
 
 
@@ -175,7 +175,7 @@ def stack_rasters(
             raster.load()
             raster.is_loaded = False
 
-        nodata = reference_raster.nodata or gu.georaster.raster._default_nodata(reference_raster.data.dtype)
+        nodata = reference_raster.nodata or gu.raster.raster._default_nodata(reference_raster.data.dtype)
         # Reproject to reference grid
         reprojected_raster = raster.reproject(
             dst_bounds=dst_bounds,
diff --git a/geoutils/georaster/raster.py b/geoutils/raster/raster.py
similarity index 99%
rename from geoutils/georaster/raster.py
rename to geoutils/raster/raster.py
index d13a74cb6..c8bc8818c 100644
--- a/geoutils/georaster/raster.py
+++ b/geoutils/raster/raster.py
@@ -1,5 +1,5 @@
 """
-geoutils.georaster provides a toolset for working with raster data.
+geoutils.raster provides a toolset for working with raster data.
 """
 from __future__ import annotations
 
@@ -30,10 +30,10 @@
 from rasterio.plot import show as rshow
 from scipy.ndimage import distance_transform_edt, map_coordinates
 
-import geoutils.geovector as gv
+import geoutils.vector as gv
 from geoutils._typing import AnyNumber, ArrayLike, DTypeLike
-from geoutils.georaster.sampling import subsample_array
-from geoutils.geovector import Vector
+from geoutils.raster.sampling import subsample_array
+from geoutils.vector import Vector
 from geoutils.projtools import _get_bounds_projected
 
 # If python38 or above, Literal is builtin. Otherwise, use typing_extensions
@@ -271,7 +271,7 @@ def __init__(
         :param nodata: The nodata value to be used (overwrites the metadata). Default reads from metadata.
 
         :param attrs: Additional attributes from rasterio's DataReader class to add to the Raster object.
-            Default list is set by geoutils.georaster.raster._default_rio_attrs, i.e.
+            Default list is set by geoutils.raster.raster._default_rio_attrs, i.e.
             ['bounds', 'count', 'crs', 'driver', 'dtypes', 'height', 'indexes',
             'name', 'nodata', 'res', 'shape', 'transform', 'width'] - if no attrs are specified, these will be added.
         """
diff --git a/geoutils/georaster/sampling.py b/geoutils/raster/sampling.py
similarity index 99%
rename from geoutils/georaster/sampling.py
rename to geoutils/raster/sampling.py
index 8c76e7b23..62cfcaa30 100644
--- a/geoutils/georaster/sampling.py
+++ b/geoutils/raster/sampling.py
@@ -4,7 +4,7 @@
 
 import numpy as np
 
-from geoutils.georaster.array import get_mask
+from geoutils.raster.array import get_mask
 
 
 def subsample_array(
diff --git a/geoutils/georaster/satimg.py b/geoutils/raster/satimg.py
similarity index 99%
rename from geoutils/georaster/satimg.py
rename to geoutils/raster/satimg.py
index 0bb0dd301..051da34f3 100644
--- a/geoutils/georaster/satimg.py
+++ b/geoutils/raster/satimg.py
@@ -13,7 +13,7 @@
 import numpy as np
 import rasterio as rio
 
-from geoutils.georaster import Raster, RasterType
+from geoutils.raster import Raster, RasterType
 
 lsat_sensor = {"C": "OLI/TIRS", "E": "ETM+", "T": "TM", "M": "MSS", "O": "OLI", "TI": "TIRS"}
 
diff --git a/geoutils/geovector.py b/geoutils/vector.py
similarity index 99%
rename from geoutils/geovector.py
rename to geoutils/vector.py
index 43dc9d4c2..54b03ce80 100644
--- a/geoutils/geovector.py
+++ b/geoutils/vector.py
@@ -758,7 +758,7 @@ def proximity(
 
             raster = gu.Raster.from_array(data=np.zeros((1000, 1000)), transform=transform, crs=self.crs)
 
-        proximity = gu.georaster.raster.proximity_from_vector_or_raster(
+        proximity = gu.raster.raster.proximity_from_vector_or_raster(
             raster=raster, vector=self, geometry_type=geometry_type, in_or_out=in_or_out, distance_unit=distance_unit
         )
 
diff --git a/setup.py b/setup.py
index 97933d356..8910350a1 100644
--- a/setup.py
+++ b/setup.py
@@ -1,4 +1,3 @@
-from glob import glob
 from os import path
 from typing import Optional
 
@@ -35,13 +34,13 @@ def write_version_py(filename: Optional[str] = None) -> None:
 setup(
     name="geoutils",
     version=FULLVERSION,
-    description="Tools for working with geospatial data",
+    description="Analysis and handling of georeferenced rasters and vectors",
     long_description=long_description,
     long_description_content_type="text/markdown",
     url="https://www.github.com/GlacioHack/geoutils/",
     author="The GlacioHack Team",
     license="BSD-3",
-    packages=["geoutils", "geoutils.georaster"],
+    packages=["geoutils", "geoutils.raster"],
     python_requires=">=3.8",
     install_requires=[
         "rasterio",
@@ -53,7 +52,7 @@ def write_version_py(filename: Optional[str] = None) -> None:
         "tqdm",
     ],
     extras_require={"rioxarray": ["rioxarray"]},
-    scripts=["geoutils/geoviewer.py"],
+    scripts=["bin/geoviewer.py"],
     zip_safe=False,
     classifiers=[
         "Programming Language :: Python :: 3",
diff --git a/tests/test_array.py b/tests/test_array.py
index b2f3a1d01..286bfd3fa 100644
--- a/tests/test_array.py
+++ b/tests/test_array.py
@@ -53,13 +53,13 @@ def test_get_array_and_mask(
         # Validate that incorrect shapes raise the correct error.
         if not check_should_pass:
             with pytest.raises(ValueError, match="Invalid array shape given"):
-                gu.georaster.get_array_and_mask(array, check_shape=True)
+                gu.raster.get_array_and_mask(array, check_shape=True)
 
             # Stop the test here as the failure is now validated.
             return
 
         # Get a copy of the array and check its shape (it should always pass at this point)
-        arr, _ = gu.georaster.get_array_and_mask(array, copy=True, check_shape=True)
+        arr, _ = gu.raster.get_array_and_mask(array, copy=True, check_shape=True)
 
         # Validate that the array is a copy
         assert not np.shares_memory(arr, array)
@@ -76,7 +76,7 @@ def test_get_array_and_mask(
             warnings.simplefilter("always")
 
             # Try to create a view.
-            arr_view, mask = gu.georaster.get_array_and_mask(array, copy=False)
+            arr_view, mask = gu.raster.get_array_and_mask(array, copy=False)
 
             # If it should be possible, validate that there were no warnings.
             if view_should_be_possible:
@@ -102,21 +102,21 @@ def test_get_valid_extent(self) -> None:
 
         # For no invalid values, the function should return the edges
         # For the array
-        assert (0, 4, 0, 4) == gu.georaster.get_valid_extent(arr)
+        assert (0, 4, 0, 4) == gu.raster.get_valid_extent(arr)
         # For the masked-array
-        assert (0, 4, 0, 4) == gu.georaster.get_valid_extent(mask_ma)
+        assert (0, 4, 0, 4) == gu.raster.get_valid_extent(mask_ma)
 
         # 1/ First column:
         # If we mask it in the masked array
         mask_ma[0, :] = np.ma.masked
-        assert (1, 4, 0, 4) == gu.georaster.get_valid_extent(mask_ma)
+        assert (1, 4, 0, 4) == gu.raster.get_valid_extent(mask_ma)
 
         # If we changed the array to NaNs
         arr[0, :] = np.nan
-        assert (1, 4, 0, 4) == gu.georaster.get_valid_extent(arr)
+        assert (1, 4, 0, 4) == gu.raster.get_valid_extent(arr)
         mask_ma.data[0, :] = np.nan
         mask_ma.mask = False
-        assert (1, 4, 0, 4) == gu.georaster.get_valid_extent(mask_ma)
+        assert (1, 4, 0, 4) == gu.raster.get_valid_extent(mask_ma)
 
         # 2/ First row:
         arr = np.ones(shape=(5, 5))
@@ -124,14 +124,14 @@ def test_get_valid_extent(self) -> None:
         mask_ma = np.ma.masked_array(data=arr, mask=arr_mask)
         # If we mask it in the masked array
         mask_ma[:, 0] = np.ma.masked
-        assert (0, 4, 1, 4) == gu.georaster.get_valid_extent(mask_ma)
+        assert (0, 4, 1, 4) == gu.raster.get_valid_extent(mask_ma)
 
         # If we changed the array to NaNs
         arr[:, 0] = np.nan
-        assert (0, 4, 1, 4) == gu.georaster.get_valid_extent(arr)
+        assert (0, 4, 1, 4) == gu.raster.get_valid_extent(arr)
         mask_ma.data[:, 0] = np.nan
         mask_ma.mask = False
-        assert (0, 4, 1, 4) == gu.georaster.get_valid_extent(mask_ma)
+        assert (0, 4, 1, 4) == gu.raster.get_valid_extent(mask_ma)
 
         # 3/ Last column:
         arr = np.ones(shape=(5, 5))
@@ -140,14 +140,14 @@ def test_get_valid_extent(self) -> None:
 
         # If we mask it in the masked array
         mask_ma[-1, :] = np.ma.masked
-        assert (0, 3, 0, 4) == gu.georaster.get_valid_extent(mask_ma)
+        assert (0, 3, 0, 4) == gu.raster.get_valid_extent(mask_ma)
 
         # If we changed the array to NaNs
         arr[-1, :] = np.nan
-        assert (0, 3, 0, 4) == gu.georaster.get_valid_extent(arr)
+        assert (0, 3, 0, 4) == gu.raster.get_valid_extent(arr)
         mask_ma.data[-1, :] = np.nan
         mask_ma.mask = False
-        assert (0, 3, 0, 4) == gu.georaster.get_valid_extent(mask_ma)
+        assert (0, 3, 0, 4) == gu.raster.get_valid_extent(mask_ma)
 
         # 4/ Last row:
         arr = np.ones(shape=(5, 5))
@@ -156,14 +156,14 @@ def test_get_valid_extent(self) -> None:
 
         # If we mask it in the masked array
         mask_ma[:, -1] = np.ma.masked
-        assert (0, 4, 0, 3) == gu.georaster.get_valid_extent(mask_ma)
+        assert (0, 4, 0, 3) == gu.raster.get_valid_extent(mask_ma)
 
         # If we changed the array to NaNs
         arr[:, -1] = np.nan
-        assert (0, 4, 0, 3) == gu.georaster.get_valid_extent(arr)
+        assert (0, 4, 0, 3) == gu.raster.get_valid_extent(arr)
         mask_ma.data[:, -1] = np.nan
         mask_ma.mask = False
-        assert (0, 4, 0, 3) == gu.georaster.get_valid_extent(mask_ma)
+        assert (0, 4, 0, 3) == gu.raster.get_valid_extent(mask_ma)
 
     def test_get_xy_rotated(self) -> None:
         """Check the function to rotate array."""
@@ -179,27 +179,27 @@ def test_get_xy_rotated(self) -> None:
         xx, yy = r1.coords(grid=True)
 
         # Rotating the coordinates 90 degrees should be the same as rotating the array
-        xx90, yy90 = gu.georaster.get_xy_rotated(r1, along_track_angle=90)
+        xx90, yy90 = gu.raster.get_xy_rotated(r1, along_track_angle=90)
         assert np.allclose(np.rot90(xx90), xx)
         assert np.allclose(np.rot90(yy90), yy)
 
         # Same for 180 degrees
-        xx180, yy180 = gu.georaster.get_xy_rotated(r1, along_track_angle=180)
+        xx180, yy180 = gu.raster.get_xy_rotated(r1, along_track_angle=180)
         assert np.allclose(np.rot90(xx180, k=2), xx)
         assert np.allclose(np.rot90(yy180, k=2), yy)
 
         # Same for 270 degrees
-        xx270, yy270 = gu.georaster.get_xy_rotated(r1, along_track_angle=270)
+        xx270, yy270 = gu.raster.get_xy_rotated(r1, along_track_angle=270)
         assert np.allclose(np.rot90(xx270, k=3), xx)
         assert np.allclose(np.rot90(yy270, k=3), yy)
 
         # 360 degrees should get us back on our feet
-        xx360, yy360 = gu.georaster.get_xy_rotated(r1, along_track_angle=360)
+        xx360, yy360 = gu.raster.get_xy_rotated(r1, along_track_angle=360)
         assert np.allclose(xx360, xx)
         assert np.allclose(yy360, yy)
 
         # Test that the values make sense for 45 degrees
-        xx45, yy45 = gu.georaster.get_xy_rotated(r1, along_track_angle=45)
+        xx45, yy45 = gu.raster.get_xy_rotated(r1, along_track_angle=45)
         # Should have zero on the upper left corner for xx
         assert xx45[0, 0] == pytest.approx(0)
         # Then a multiple of sqrt2 along each dimension
@@ -210,4 +210,4 @@ def test_get_xy_rotated(self) -> None:
         # Finally, yy should be rotated by 90
         assert np.allclose(np.rot90(xx45), yy45)
 
-        xx, yy = gu.georaster.get_xy_rotated(r1, along_track_angle=90)
+        xx, yy = gu.raster.get_xy_rotated(r1, along_track_angle=90)
diff --git a/tests/test_geoviewer.py b/tests/test_geoviewer.py
index 25094f75e..0c07207ab 100644
--- a/tests/test_geoviewer.py
+++ b/tests/test_geoviewer.py
@@ -1,13 +1,16 @@
 from __future__ import annotations
 
 import os
+import sys
 
 import matplotlib.pyplot as plt
 import pytest
 
 import geoutils as gu
-import geoutils.geoviewer as gv
 
+# Import executable just for the test
+sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "bin/geoviewer.py")))
+import geoviewer
 
 @pytest.mark.parametrize(
     "filename", [gu.examples.get_path("everest_landsat_b4"), gu.examples.get_path("exploradores_aster_dem")]
@@ -35,7 +38,7 @@ def test_geoviewer_valid(capsys, monkeypatch, filename, option):  # type: ignore
 
     # To not get exception when testing generic functions such as --help
     try:
-        gv.main([filename, *option])
+        geoviewer.main([filename, *option])
     except SystemExit:
         pass
 
@@ -72,4 +75,4 @@ def test_geoviewer_invalid(capsys, monkeypatch, filename, option):  # type: igno
 
     # To not get exception when testing generic functions such as --help
     with pytest.raises(ValueError):
-        gv.main([filename, *option])
+        geoviewer.main([filename, *option])
diff --git a/tests/test_multiraster.py b/tests/test_multiraster.py
index bf723febd..7845c4464 100644
--- a/tests/test_multiraster.py
+++ b/tests/test_multiraster.py
@@ -12,7 +12,7 @@
 
 import geoutils as gu
 from geoutils import examples
-from geoutils.georaster import RasterType
+from geoutils.raster import RasterType
 
 
 class stack_merge_images:
@@ -90,7 +90,7 @@ def test_stack_rasters(self, rasters) -> None:  # type: ignore
                 expected_warning=UserWarning,
                 match="Some input Rasters have multiple bands, only their first band will be used.",
             ):
-                stacked_img = gu.georaster.stack_rasters([rasters.img1, rasters.img2])
+                stacked_img = gu.raster.stack_rasters([rasters.img1, rasters.img2])
             # Then ignore the other ones
             warnings.filterwarnings(
                 "ignore",
@@ -99,7 +99,7 @@ def test_stack_rasters(self, rasters) -> None:  # type: ignore
             )
 
         else:
-            stacked_img = gu.georaster.stack_rasters([rasters.img1, rasters.img2])
+            stacked_img = gu.raster.stack_rasters([rasters.img1, rasters.img2])
 
         assert stacked_img.count == 2
         assert rasters.img.shape == stacked_img.shape
@@ -112,12 +112,12 @@ def test_stack_rasters(self, rasters) -> None:  # type: ignore
         assert merged_bounds == stacked_img.bounds
 
         # Check that reference works with input Raster
-        stacked_img = gu.georaster.stack_rasters([rasters.img1, rasters.img2], reference=rasters.img)
+        stacked_img = gu.raster.stack_rasters([rasters.img1, rasters.img2], reference=rasters.img)
         assert rasters.img.bounds == stacked_img.bounds
 
         # Others than int or gu.Raster should raise a ValueError
         try:
-            stacked_img = gu.georaster.stack_rasters([rasters.img1, rasters.img2], reference="a string")
+            stacked_img = gu.raster.stack_rasters([rasters.img1, rasters.img2], reference="a string")
         except ValueError as exception:
             if "reference should be" not in str(exception):
                 raise exception
@@ -125,11 +125,11 @@ def test_stack_rasters(self, rasters) -> None:  # type: ignore
         # Check that use_ref_bounds works - use a img that do not cover the whole extent
 
         # This case should not preserve original extent
-        stacked_img = gu.georaster.stack_rasters([rasters.img1, rasters.img3])
+        stacked_img = gu.raster.stack_rasters([rasters.img1, rasters.img3])
         assert stacked_img.bounds != rasters.img.bounds
 
         # This case should preserve original extent
-        stacked_img2 = gu.georaster.stack_rasters(
+        stacked_img2 = gu.raster.stack_rasters(
             [rasters.img1, rasters.img3], reference=rasters.img, use_ref_bounds=True
         )
         assert stacked_img2.bounds == rasters.img.bounds
@@ -153,7 +153,7 @@ def test_merge_rasters(self, rasters) -> None:  # type: ignore
                 message="Some input Rasters have multiple bands, only their first band will be used.",
             )
 
-        merged_img = gu.georaster.merge_rasters([rasters.img1, rasters.img2], merge_algorithm=np.nanmean)
+        merged_img = gu.raster.merge_rasters([rasters.img1, rasters.img2], merge_algorithm=np.nanmean)
 
         assert rasters.img.shape == merged_img.shape
         assert rasters.img.bounds == merged_img.bounds
@@ -164,7 +164,7 @@ def test_merge_rasters(self, rasters) -> None:  # type: ignore
         assert np.abs(np.nanmean(diff)) < 1
 
         # Check that reference works
-        merged_img2 = gu.georaster.merge_rasters([rasters.img1, rasters.img2], reference=rasters.img)
+        merged_img2 = gu.raster.merge_rasters([rasters.img1, rasters.img2], reference=rasters.img)
         assert merged_img2 == merged_img
 
     # Group rasters for for testing `load_multiple_rasters`
@@ -188,14 +188,14 @@ def test_load_multiple_overlap(self, raster_paths: list[str]) -> None:
         Test load_multiple_rasters functionalities, when rasters overlap -> no warning is raised
         """
         # - Test that with crop=False and ref_grid=None, rasters are simply loaded - #
-        output_rst: list[gu.Raster] = gu.georaster.load_multiple_rasters(raster_paths, crop=False, ref_grid=None)
+        output_rst: list[gu.Raster] = gu.raster.load_multiple_rasters(raster_paths, crop=False, ref_grid=None)
         for k, rst in enumerate(output_rst):
             assert rst.is_loaded
             rst2 = gu.Raster(raster_paths[k])
             assert rst == rst2
 
         # - Test that with crop=True and ref_grid=None, rasters are cropped only in area of overlap - #
-        output_rst = gu.georaster.load_multiple_rasters(raster_paths, crop=True, ref_grid=None)
+        output_rst = gu.raster.load_multiple_rasters(raster_paths, crop=True, ref_grid=None)
         ref_crs = gu.Raster(raster_paths[0], load_data=False).crs
 
         # Save original and new bounds (as polygons) in the reference CRS
@@ -217,7 +217,7 @@ def test_load_multiple_overlap(self, raster_paths: list[str]) -> None:
         # For the landsat test case, a warning will be raised because nodata is None
         with warnings.catch_warnings():
             warnings.simplefilter("ignore", category=UserWarning)
-            output_rst = gu.georaster.load_multiple_rasters(raster_paths, crop=False, ref_grid=0)
+            output_rst = gu.raster.load_multiple_rasters(raster_paths, crop=False, ref_grid=0)
 
         ref_rst = gu.Raster(raster_paths[0], load_data=False)
         for k, rst in enumerate(output_rst):
@@ -242,7 +242,7 @@ def test_load_multiple_no_overlap(self, raster_paths: list[str]) -> None:
         Test load_multiple_rasters functionalities with rasters that do not overlap -> raises warning in certain cases
         """
         # - With crop=False and ref_grid=None, rasters are simply loaded - #
-        output_rst: list[gu.Raster] = gu.georaster.load_multiple_rasters(raster_paths, crop=False, ref_grid=None)
+        output_rst: list[gu.Raster] = gu.raster.load_multiple_rasters(raster_paths, crop=False, ref_grid=None)
         for k, rst in enumerate(output_rst):
             assert rst.is_loaded
             rst2 = gu.Raster(raster_paths[k])
@@ -250,13 +250,13 @@ def test_load_multiple_no_overlap(self, raster_paths: list[str]) -> None:
 
         # - With crop=True -> should raise a warning - #
         with pytest.warns(UserWarning, match="Intersection is void, returning unloaded rasters."):
-            output_rst = gu.georaster.load_multiple_rasters(raster_paths, crop=True, ref_grid=None)
+            output_rst = gu.raster.load_multiple_rasters(raster_paths, crop=True, ref_grid=None)
 
         # - Should work with crop=False and ref_grid=0 - #
         # For the landsat test case, a warning will be raised because nodata is None
         with warnings.catch_warnings():
             warnings.simplefilter("ignore", category=UserWarning)
-            output_rst = gu.georaster.load_multiple_rasters(raster_paths, crop=False, ref_grid=0)
+            output_rst = gu.raster.load_multiple_rasters(raster_paths, crop=False, ref_grid=0)
 
         ref_rst = gu.Raster(raster_paths[0], load_data=False)
         for k, rst in enumerate(output_rst):
diff --git a/tests/test_georaster.py b/tests/test_raster.py
similarity index 99%
rename from tests/test_georaster.py
rename to tests/test_raster.py
index cca0240bc..78895441d 100644
--- a/tests/test_georaster.py
+++ b/tests/test_raster.py
@@ -1,5 +1,5 @@
 """
-Test functions for georaster
+Test functions for raster
 """
 from __future__ import annotations
 
@@ -20,7 +20,7 @@
 import geoutils as gu
 import geoutils.projtools as pt
 from geoutils import examples
-from geoutils.georaster.raster import _default_nodata, _default_rio_attrs
+from geoutils.raster.raster import _default_nodata, _default_rio_attrs
 from geoutils.misc import resampling_method_from_str
 from geoutils.projtools import reproject_to_latlon
 
@@ -767,7 +767,7 @@ def test_copy(self, example: str) -> None:
 
         # When passing the new array as a NaN ndarray, only the valid data is equal, because masked data is NaN in one
         # case, and -9999 in the other
-        r_arr = gu.georaster.get_array_and_mask(r)[0]
+        r_arr = gu.raster.get_array_and_mask(r)[0]
         r2 = r.copy(new_array=r_arr)
         assert np.ma.allequal(r.data, r2.data)
         # If a nodata value exists, and we update the NaN pixels to be that nodata value, then the two Rasters should
@@ -1122,13 +1122,13 @@ def test_reproject(self, example: str) -> None:
         r_nodata.set_nodata(None)
 
         # Make sure at least one pixel is masked for test 1
-        rand_indices = gu.georaster.subsample_array(r_nodata.data, 10, return_indices=True)
+        rand_indices = gu.raster.subsample_array(r_nodata.data, 10, return_indices=True)
         r_nodata.data[rand_indices] = np.ma.masked
         assert np.count_nonzero(r_nodata.data.mask) > 0
 
         # make sure at least one pixel is set at default nodata for test
         default_nodata = _default_nodata(r_nodata.dtypes[0])
-        rand_indices = gu.georaster.subsample_array(r_nodata.data, 10, return_indices=True)
+        rand_indices = gu.raster.subsample_array(r_nodata.data, 10, return_indices=True)
         r_nodata.data[rand_indices] = default_nodata
         assert np.count_nonzero(r_nodata.data == default_nodata) > 0
 
@@ -1229,7 +1229,7 @@ def test_reproject(self, example: str) -> None:
         # Create a raster with (additional) random gaps
         r_gaps = r.copy()
         nsamples = 200
-        rand_indices = gu.georaster.subsample_array(r_gaps.data, nsamples, return_indices=True)
+        rand_indices = gu.raster.subsample_array(r_gaps.data, nsamples, return_indices=True)
         r_gaps.data[rand_indices] = np.ma.masked
         assert np.sum(r_gaps.data.mask) - np.sum(r.data.mask) == nsamples  # sanity check
 
@@ -3475,8 +3475,8 @@ class TestArrayInterface:
     # Most other math functions are already universal functions
 
     # Separate between two lists (single input and double input) for testing
-    handled_functions_2in = gu.georaster.raster._HANDLED_FUNCTIONS_2NIN
-    handled_functions_1in = gu.georaster.raster._HANDLED_FUNCTIONS_1NIN
+    handled_functions_2in = gu.raster.raster._HANDLED_FUNCTIONS_2NIN
+    handled_functions_1in = gu.raster.raster._HANDLED_FUNCTIONS_1NIN
 
     # Details below:
     # NaN functions: [f for f in np.lib.nanfunctions.__all__]
diff --git a/tests/test_sampling.py b/tests/test_sampling.py
index 39fc2df6e..041b8d16a 100644
--- a/tests/test_sampling.py
+++ b/tests/test_sampling.py
@@ -35,54 +35,54 @@ class TestSubsampling:
     @pytest.mark.parametrize("array", [array1D, array2D, array3D])  # type: ignore
     def test_subsample(self, array: np.ndarray) -> None:
         """
-        Test gu.georaster.subsample_array.
+        Test gu.raster.subsample_array.
         """
         # Test that subsample > 1 works as expected, i.e. output 1D array, with no masked values, or selected size
         for npts in np.arange(2, np.size(array)):
-            random_values = gu.georaster.subsample_array(array, subsample=npts)
+            random_values = gu.raster.subsample_array(array, subsample=npts)
             assert np.ndim(random_values) == 1
             assert np.size(random_values) == npts
             assert np.count_nonzero(random_values.mask) == 0
 
         # Test if subsample > number of valid values => return all
-        random_values = gu.georaster.subsample_array(array, subsample=np.size(array) + 3)
+        random_values = gu.raster.subsample_array(array, subsample=np.size(array) + 3)
         assert np.all(np.sort(random_values) == array[~array.mask])
 
         # Test if subsample = 1 => return all valid values
-        random_values = gu.georaster.subsample_array(array, subsample=1)
+        random_values = gu.raster.subsample_array(array, subsample=1)
         assert np.all(np.sort(random_values) == array[~array.mask])
 
         # Test if subsample < 1
-        random_values = gu.georaster.subsample_array(array, subsample=0.5)
+        random_values = gu.raster.subsample_array(array, subsample=0.5)
         assert np.size(random_values) == int(np.size(array) * 0.5)
 
         # Test with optional argument return_indices
-        indices = gu.georaster.subsample_array(array, subsample=0.3, return_indices=True)
+        indices = gu.raster.subsample_array(array, subsample=0.3, return_indices=True)
         assert np.ndim(indices) == 2
         assert len(indices) == np.ndim(array)
         assert np.ndim(array[indices]) == 1
         assert np.size(array[indices]) == int(np.size(array) * 0.3)
 
         # Check that we can pass an integer to fix the random state
-        sub42 = gu.georaster.subsample_array(array, subsample=10, random_state=42)
+        sub42 = gu.raster.subsample_array(array, subsample=10, random_state=42)
         # Check by passing a generator directly
         random_gen = np.random.RandomState(np.random.MT19937(np.random.SeedSequence(42)))
-        sub42_gen = gu.georaster.subsample_array(array, subsample=10, random_state=random_gen)
+        sub42_gen = gu.raster.subsample_array(array, subsample=10, random_state=random_gen)
         # Both should be equal
         assert np.array_equal(sub42, sub42_gen)
 
     def test_subdivide_array(self) -> None:
         test_shape = (6, 4)
         test_count = 4
-        subdivision_grid = gu.georaster.subdivide_array(test_shape, test_count)
+        subdivision_grid = gu.raster.subdivide_array(test_shape, test_count)
 
         assert subdivision_grid.shape == test_shape
         assert np.unique(subdivision_grid).size == test_count
 
-        assert np.unique(gu.georaster.subdivide_array((3, 3), 3)).size == 3
+        assert np.unique(gu.raster.subdivide_array((3, 3), 3)).size == 3
 
         with pytest.raises(ValueError, match=r"Expected a 2D shape, got 1D shape.*"):
-            gu.georaster.subdivide_array((5,), 2)
+            gu.raster.subdivide_array((5,), 2)
 
         with pytest.raises(ValueError, match=r"Shape.*smaller than.*"):
-            gu.georaster.subdivide_array((5, 2), 15)
+            gu.raster.subdivide_array((5, 2), 15)
diff --git a/tests/test_satimg.py b/tests/test_satimg.py
index a87004ffe..ca779aa77 100644
--- a/tests/test_satimg.py
+++ b/tests/test_satimg.py
@@ -89,7 +89,7 @@ def test_add_sub(self) -> None:
             np.random.randint(0, 255, (height, width), dtype="uint8"), transform=transform, crs=None
         )
 
-        # Check that output type is same - other tests are in test_georaster.py
+        # Check that output type is same - other tests are in test_raster.py
         sat_out = -satimg1
         assert isinstance(sat_out, gu.SatelliteImage)
 
@@ -119,7 +119,7 @@ def test_copy(self, example: str) -> None:
         assert isinstance(r2, gu.SatelliteImage)
 
         # check all immutable attributes are equal
-        georaster_attrs = [
+        raster_attrs = [
             "bounds",
             "count",
             "crs",
@@ -134,8 +134,8 @@ def test_copy(self, example: str) -> None:
         ]
         satimg_attrs = ["satellite", "sensor", "product", "version", "tile_name", "datetime"]
         # using list directly available in Class
-        attrs = georaster_attrs + satimg_attrs
-        all_attrs = attrs + gu.georaster.satimg.satimg_attrs
+        attrs = raster_attrs + satimg_attrs
+        all_attrs = attrs + gu.raster.satimg.satimg_attrs
         for attr in all_attrs:
             assert r.__getattribute__(attr) == r2.__getattribute__(attr)
 
@@ -192,7 +192,7 @@ def test_filename_parsing(self) -> None:
         ]
 
         for names in copied_names:
-            attrs = gu.georaster.satimg.parse_metadata_from_fn(names)
+            attrs = gu.raster.satimg.parse_metadata_from_fn(names)
             i = copied_names.index(names)
             assert satellites[i] == attrs[0]
             assert sensors[i] == attrs[1]
@@ -207,26 +207,26 @@ def test_sw_tile_naming_parsing(self) -> None:
         test_latlon = [(14, -65), (-14, 65), (14, -65), (14, -65), (14, -65), (0, 0)]
 
         for tile in test_tiles:
-            assert gu.georaster.satimg.sw_naming_to_latlon(tile)[0] == test_latlon[test_tiles.index(tile)][0]
-            assert gu.georaster.satimg.sw_naming_to_latlon(tile)[1] == test_latlon[test_tiles.index(tile)][1]
+            assert gu.raster.satimg.sw_naming_to_latlon(tile)[0] == test_latlon[test_tiles.index(tile)][0]
+            assert gu.raster.satimg.sw_naming_to_latlon(tile)[1] == test_latlon[test_tiles.index(tile)][1]
 
         for latlon in test_latlon:
-            assert gu.georaster.satimg.latlon_to_sw_naming(latlon) == test_tiles[test_latlon.index(latlon)]
+            assert gu.raster.satimg.latlon_to_sw_naming(latlon) == test_tiles[test_latlon.index(latlon)]
 
         # check possible exceptions, rounded lat/lon belong to their southwest border
-        assert gu.georaster.satimg.latlon_to_sw_naming((0, 0)) == "N00E000"
+        assert gu.raster.satimg.latlon_to_sw_naming((0, 0)) == "N00E000"
         # those are the same point, should give same naming
-        assert gu.georaster.satimg.latlon_to_sw_naming((-90, 0)) == "S90E000"
-        assert gu.georaster.satimg.latlon_to_sw_naming((90, 0)) == "S90E000"
+        assert gu.raster.satimg.latlon_to_sw_naming((-90, 0)) == "S90E000"
+        assert gu.raster.satimg.latlon_to_sw_naming((90, 0)) == "S90E000"
         # same here
-        assert gu.georaster.satimg.latlon_to_sw_naming((0, -180)) == "N00W180"
-        assert gu.georaster.satimg.latlon_to_sw_naming((0, 180)) == "N00W180"
+        assert gu.raster.satimg.latlon_to_sw_naming((0, -180)) == "N00W180"
+        assert gu.raster.satimg.latlon_to_sw_naming((0, 180)) == "N00W180"
 
     def test_parse_tile_attr_from_name(self) -> None:
         """Test the parsing of tile attribute from tile name."""
 
         # For ASTER, SRTM, NASADEM: 1x1 tiling globally
-        y, x, size, epsg = gu.georaster.satimg.parse_tile_attr_from_name(tile_name="N01W179", product="SRTMGL1")
+        y, x, size, epsg = gu.raster.satimg.parse_tile_attr_from_name(tile_name="N01W179", product="SRTMGL1")
 
         assert y == 1
         assert x == -179
@@ -235,21 +235,21 @@ def test_parse_tile_attr_from_name(self) -> None:
 
         # For TanDEM-X: depends on latitude
         # Mid-latitude is 2 x 1
-        y, x, size, epsg = gu.georaster.satimg.parse_tile_attr_from_name(tile_name="N62E04", product="TDM1")
+        y, x, size, epsg = gu.raster.satimg.parse_tile_attr_from_name(tile_name="N62E04", product="TDM1")
         assert y == 62
         assert x == 4
         assert size == (1, 2)
         assert epsg == 4326
 
         # Low-latitude is 1 x 1
-        y, x, size, epsg = gu.georaster.satimg.parse_tile_attr_from_name(tile_name="N52E04", product="TDM1")
+        y, x, size, epsg = gu.raster.satimg.parse_tile_attr_from_name(tile_name="N52E04", product="TDM1")
         assert y == 52
         assert x == 4
         assert size == (1, 1)
         assert epsg == 4326
 
         # High-latitude is 5 x 1
-        y, x, size, epsg = gu.georaster.satimg.parse_tile_attr_from_name(tile_name="N82E04", product="TDM1")
+        y, x, size, epsg = gu.raster.satimg.parse_tile_attr_from_name(tile_name="N82E04", product="TDM1")
         assert y == 82
         assert x == 4
         assert size == (1, 4)
@@ -260,7 +260,7 @@ def test_parse_landsat(self) -> None:
 
         # Landsat 1
         landsat1 = "LM10170391976031AAA01.tif"
-        attrs1 = gu.georaster.satimg.parse_landsat(landsat1)
+        attrs1 = gu.raster.satimg.parse_landsat(landsat1)
 
         assert attrs1[0] == "Landsat 1"
         assert attrs1[1] == "MSS"
@@ -268,7 +268,7 @@ def test_parse_landsat(self) -> None:
 
         # Landsat 7 example
         landsat7 = "LE71400412000304SGS00_B4.tif"
-        attrs7 = gu.georaster.satimg.parse_landsat(landsat7)
+        attrs7 = gu.raster.satimg.parse_landsat(landsat7)
 
         assert attrs7[0] == "Landsat 7"
         assert attrs7[1] == "ETM+"
diff --git a/tests/test_geovector.py b/tests/test_vector.py
similarity index 97%
rename from tests/test_geovector.py
rename to tests/test_vector.py
index d426741c0..2001bb02f 100644
--- a/tests/test_geovector.py
+++ b/tests/test_vector.py
@@ -217,7 +217,7 @@ def test_crop(self, data: list[str]) -> None:
     def test_proximity(self) -> None:
         """
         The core functionality is already tested against GDAL in test_raster: just verify the vector-specific behaviour.
-        #TODO: add an artificial test as well (mirroring TODO in test_georaster)
+        #TODO: add an artificial test as well (mirroring TODO in test_raster)
         """
 
         vector = gu.Vector(self.everest_outlines_path)
@@ -358,37 +358,37 @@ def test_extract_vertices(self) -> None:
         Test that extract_vertices works with simple geometries.
         """
         # Polygons
-        vertices = gu.geovector.extract_vertices(self.vector.ds)
+        vertices = gu.vector.extract_vertices(self.vector.ds)
         assert len(vertices) == 1
         assert vertices == [[(10.0, 10.0), (11.0, 10.0), (11.0, 11.0), (10.0, 11.0), (10.0, 10.0)]]
 
         # MultiPolygons
-        vertices = gu.geovector.extract_vertices(self.vector_multipoly.ds)
+        vertices = gu.vector.extract_vertices(self.vector_multipoly.ds)
         assert len(vertices) == 2
         assert vertices[0] == [(10.0, 10.0), (11.0, 10.0), (11.0, 11.0), (10.0, 11.0), (10.0, 10.0)]
         assert vertices[1] == [(5.0, 5.0), (6.0, 5.0), (6.0, 6.0), (5.0, 6.0), (5.0, 5.0)]
 
         # LineString
-        vertices = gu.geovector.extract_vertices(self.vector_lines.ds)
+        vertices = gu.vector.extract_vertices(self.vector_lines.ds)
         assert len(vertices) == 1
         assert vertices == [[(10.0, 10.0), (11.0, 10.0), (11.0, 11.0)]]
 
         # MultiLineString
-        vertices = gu.geovector.extract_vertices(self.vector_multilines.ds)
+        vertices = gu.vector.extract_vertices(self.vector_multilines.ds)
         assert len(vertices) == 2
         assert vertices[0] == [(10.0, 10.0), (11.0, 10.0), (11.0, 11.0)]
         assert vertices[1] == [(5.0, 5.0), (6.0, 5.0), (6.0, 6.0)]
 
     def test_generate_voronoi(self) -> None:
         """
-        Check that geovector.generate_voronoi_polygons works on a simple Polygon.
+        Check that vector.generate_voronoi_polygons works on a simple Polygon.
         Does not work with simple shapes as squares or triangles as the diagram is infinite.
         For now, test on a set of two squares.
         """
         # Check with a multipolygon
-        voronoi = gu.geovector.generate_voronoi_polygons(self.vector_multipoly.ds)
+        voronoi = gu.vector.generate_voronoi_polygons(self.vector_multipoly.ds)
         assert len(voronoi) == 2
-        vertices = gu.geovector.extract_vertices(voronoi)
+        vertices = gu.vector.extract_vertices(voronoi)
         assert vertices == [
             [(5.5, 10.5), (10.5, 10.5), (10.5, 5.5), (5.5, 10.5)],
             [(5.5, 10.5), (10.5, 5.5), (5.5, 5.5), (5.5, 10.5)],
@@ -397,7 +397,7 @@ def test_generate_voronoi(self) -> None:
         # Check that it fails with proper error for too simple geometries
         expected_message = "Invalid geometry, cannot generate finite Voronoi polygons"
         with pytest.raises(ValueError, match=expected_message):
-            voronoi = gu.geovector.generate_voronoi_polygons(self.vector.ds)
+            voronoi = gu.vector.generate_voronoi_polygons(self.vector.ds)
 
     def test_buffer_metric(self) -> None:
         """Check that metric buffering works"""

From 56dfce42b1716065bf6469a11ef47b2d6d5f1cd9 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 13 Mar 2023 15:37:22 -0700
Subject: [PATCH 119/184] Linting

---
 geoutils/__init__.py           | 2 +-
 geoutils/raster/multiraster.py | 2 +-
 geoutils/raster/raster.py      | 2 +-
 tests/test_geoviewer.py        | 7 +++++--
 tests/test_multiraster.py      | 4 +---
 tests/test_raster.py           | 2 +-
 6 files changed, 10 insertions(+), 9 deletions(-)

diff --git a/geoutils/__init__.py b/geoutils/__init__.py
index 36652a7ef..d99922258 100644
--- a/geoutils/__init__.py
+++ b/geoutils/__init__.py
@@ -2,7 +2,7 @@
 GeoUtils is a python package of raster and vector tools.
 """
 
-from geoutils import examples, raster, vector, projtools  # noqa
+from geoutils import examples, projtools, raster, vector  # noqa
 from geoutils.raster import Mask, Raster, SatelliteImage  # noqa
 from geoutils.vector import Vector  # noqa
 
diff --git a/geoutils/raster/multiraster.py b/geoutils/raster/multiraster.py
index 09eed1631..d6d3afb38 100644
--- a/geoutils/raster/multiraster.py
+++ b/geoutils/raster/multiraster.py
@@ -10,9 +10,9 @@
 from tqdm import tqdm
 
 import geoutils as gu
+from geoutils.misc import resampling_method_from_str
 from geoutils.raster import Raster, RasterType, get_array_and_mask
 from geoutils.raster.raster import _default_nodata
-from geoutils.misc import resampling_method_from_str
 
 
 def load_multiple_rasters(
diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index c8bc8818c..27551f757 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -32,9 +32,9 @@
 
 import geoutils.vector as gv
 from geoutils._typing import AnyNumber, ArrayLike, DTypeLike
+from geoutils.projtools import _get_bounds_projected
 from geoutils.raster.sampling import subsample_array
 from geoutils.vector import Vector
-from geoutils.projtools import _get_bounds_projected
 
 # If python38 or above, Literal is builtin. Otherwise, use typing_extensions
 try:
diff --git a/tests/test_geoviewer.py b/tests/test_geoviewer.py
index 0c07207ab..8ca1dd186 100644
--- a/tests/test_geoviewer.py
+++ b/tests/test_geoviewer.py
@@ -1,3 +1,5 @@
+"""Test for geoviewer executable."""
+
 from __future__ import annotations
 
 import os
@@ -8,9 +10,10 @@
 
 import geoutils as gu
 
-# Import executable just for the test
+# Add geoviewer path temporarily
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "bin/geoviewer.py")))
-import geoviewer
+import geoviewer  # noqa
+
 
 @pytest.mark.parametrize(
     "filename", [gu.examples.get_path("everest_landsat_b4"), gu.examples.get_path("exploradores_aster_dem")]
diff --git a/tests/test_multiraster.py b/tests/test_multiraster.py
index 7845c4464..7822b5390 100644
--- a/tests/test_multiraster.py
+++ b/tests/test_multiraster.py
@@ -129,9 +129,7 @@ def test_stack_rasters(self, rasters) -> None:  # type: ignore
         assert stacked_img.bounds != rasters.img.bounds
 
         # This case should preserve original extent
-        stacked_img2 = gu.raster.stack_rasters(
-            [rasters.img1, rasters.img3], reference=rasters.img, use_ref_bounds=True
-        )
+        stacked_img2 = gu.raster.stack_rasters([rasters.img1, rasters.img3], reference=rasters.img, use_ref_bounds=True)
         assert stacked_img2.bounds == rasters.img.bounds
 
     @pytest.mark.parametrize(
diff --git a/tests/test_raster.py b/tests/test_raster.py
index 78895441d..d4018e72b 100644
--- a/tests/test_raster.py
+++ b/tests/test_raster.py
@@ -20,9 +20,9 @@
 import geoutils as gu
 import geoutils.projtools as pt
 from geoutils import examples
-from geoutils.raster.raster import _default_nodata, _default_rio_attrs
 from geoutils.misc import resampling_method_from_str
 from geoutils.projtools import reproject_to_latlon
+from geoutils.raster.raster import _default_nodata, _default_rio_attrs
 
 DO_PLOT = False
 

From 07ab0fde5883b16378e12f766f0a8ccd69ffd790 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 13 Mar 2023 16:56:43 -0700
Subject: [PATCH 120/184] Homogenize syntax in docstrings

---
 geoutils/raster/raster.py | 364 +++++++++++++++++++++-----------------
 geoutils/vector.py        |  61 ++++---
 2 files changed, 234 insertions(+), 191 deletions(-)

diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index 27551f757..01fd3cbe7 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -176,19 +176,19 @@ def _load_rio(
     **kwargs: Any,
 ) -> np.ma.masked_array:
     r"""
-    Load specific bands of the dataset, using rasterio.read().
+    Load specific bands of the dataset, using :func:`rasterio.read`.
 
-    Ensure that self.data.ndim = 3 for ease of use (needed e.g. in show)
+    Ensure that ``self.data.ndim=3`` for ease of use (needed e.g. in show).
 
-    :param dataset: The dataset to read (opened with "rio.open(filename)")
-    :param indexes: The band(s) to load. Note that rasterio begins counting at 1, not 0.
-    :param masked: Should the mask be read (if any exists), and/or should the nodata be used to mask values
+    :param dataset: Dataset to read (opened with :func:`rasterio.open`).
+    :param indexes: Band(s) to load. Note that rasterio begins counting at 1, not 0.
+    :param masked: Whether the mask should be read (if any exists) to use the nodata to mask values.
     :param transform: Create a window from the given transform (to read only parts of the raster)
-    :param shape: The expected shape of the read ndarray. Must be given together with the 'transform' argument.
+    :param shape: Expected shape of the read ndarray. Must be given together with the `transform` argument.
 
-    :raises ValueError: If only one of 'transform' and 'shape' are given.
+    :raises ValueError: If only one of ``transform`` and ``shape`` are given.
 
-    :returns: A numpy array if masked == False or a masked_array
+    :returns: An unmasked array if ``masked`` is ``False``, or a masked array otherwise.
 
     \*\*kwargs: any additional arguments to rasterio.io.DatasetReader.read.
     Useful ones are:
@@ -258,9 +258,9 @@ def __init__(
         """
         Instantiate a raster from a filename or rasterio dataset.
 
-        :param filename_or_dataset: The filename or dataset.
+        :param filename_or_dataset: Path to file or Rasterio dataset.
 
-        :param indexes: The band(s) to load into the object. Default loads all bands.
+        :param indexes: Band(s) to load into the object. Default loads all bands.
 
         :param load_data: Whether to load the array during instantiation. Default is False.
 
@@ -268,15 +268,15 @@ def __init__(
 
         :param masked: Whether to load the array as a NumPy masked-array, with nodata values masked. Default is True.
 
-        :param nodata: The nodata value to be used (overwrites the metadata). Default reads from metadata.
+        :param nodata: Nodata value to be used (overwrites the metadata). Default reads from metadata.
 
-        :param attrs: Additional attributes from rasterio's DataReader class to add to the Raster object.
+        :param attrs: Additional attributes from Rasterio's DataReader class to add to the Raster object.
             Default list is set by geoutils.raster.raster._default_rio_attrs, i.e.
             ['bounds', 'count', 'crs', 'driver', 'dtypes', 'height', 'indexes',
             'name', 'nodata', 'res', 'shape', 'transform', 'width'] - if no attrs are specified, these will be added.
         """
-        self.driver: str | None = None
-        self.name: str | None = None
+        self._driver: str | None = None
+        self._name: str | None = None
         self.filename: str | None = None
         self.tags: dict[str, Any] = {}
 
@@ -395,14 +395,14 @@ def __init__(
 
     @property
     def count_on_disk(self) -> None | int:
-        """The count of bands on disk if it exists."""
+        """Count of bands on disk if it exists."""
         if self._disk_shape is not None:
             return self._disk_shape[0]
         return None
 
     @property
     def count(self) -> int:
-        """The count of bands loaded in memory if they are, otherwise the one on disk."""
+        """Count of bands loaded in memory if they are, otherwise the one on disk."""
         if self.is_loaded:
             return int(self.data.shape[0])
         #  This can only happen if data is not loaded, with a DatasetReader on disk is open, never returns None
@@ -410,21 +410,21 @@ def count(self) -> int:
 
     @property
     def height(self) -> int:
-        """The height of the raster in pixels."""
+        """Height of the raster in pixels."""
         if not self.is_loaded:
             return self._disk_shape[1]  # type: ignore
         return int(self.data.shape[1])
 
     @property
     def width(self) -> int:
-        """The width of the raster in pixels."""
+        """Width of the raster in pixels."""
         if not self.is_loaded:
             return self._disk_shape[2]  # type: ignore
         return int(self.data.shape[2])
 
     @property
     def shape(self) -> tuple[int, int]:
-        """The shape (i.e., height, width) of the raster in pixels."""
+        """Shape (i.e., height, width) of the raster in pixels."""
         # If a downsampling argument was defined but data not loaded yet
         if self._out_shape is not None and not self.is_loaded:
             return self._out_shape[1], self._out_shape[2]
@@ -435,12 +435,12 @@ def shape(self) -> tuple[int, int]:
 
     @property
     def res(self) -> tuple[float | int, float | int]:
-        """The resolution (X, Y) of the raster in georeferenced units."""
+        """Resolution (X, Y) of the raster in georeferenced units."""
         return self.transform[0], abs(self.transform[4])
 
     @property
     def bounds(self) -> rio.coords.BoundingBox:
-        """The bounding coordinates of the raster."""
+        """Bounding coordinates of the raster."""
         return rio.coords.BoundingBox(*rio.transform.array_bounds(self.height, self.width, self.transform))
 
     @property
@@ -450,21 +450,21 @@ def is_loaded(self) -> bool:
 
     @property
     def dtypes(self) -> tuple[str, ...]:
-        """The data type for each raster band (string representation)."""
+        """Data type for each raster band (string representation)."""
         if not self.is_loaded and self._disk_dtypes is not None:
             return self._disk_dtypes
         return (str(self.data.dtype),) * self.count
 
     @property
     def indexes_on_disk(self) -> None | tuple[int, ...]:
-        """The indexes of bands on disk if it exists."""
+        """Indexes of bands on disk if it exists."""
         if self._disk_indexes is not None:
             return self._disk_indexes
         return None
 
     @property
     def indexes(self) -> tuple[int, ...]:
-        """The indexes of bands loaded in memory if they are, otherwise on disk."""
+        """Indexes of bands loaded in memory if they are, otherwise on disk."""
         if self._indexes is not None and not self.is_loaded:
             if isinstance(self._indexes, int):
                 return (self._indexes,)
@@ -477,12 +477,22 @@ def indexes(self) -> tuple[int, ...]:
             return tuple(range(1, self.count + 1))
         return self.indexes_on_disk  # type: ignore
 
+    @property
+    def name(self) -> str | None:
+        """Name of the file on disk, if it exists."""
+        return self._name
+
+    @property
+    def driver(self) -> str | None:
+        """Driver used to read a file on disk."""
+        return self._driver
+
     def load(self, indexes: None | int | list[int] = None, **kwargs: Any) -> None:
         """
         Load the raster array from disk.
 
         :param kwargs: Optional keyword arguments sent to '_load_rio()'.
-        :param indexes: The band(s) to load. Note that rasterio begins counting at 1, not 0.
+        :param indexes: Band(s) to load. Note that rasterio begins counting at 1, not 0.
 
         :raises ValueError: If the data are already loaded.
         :raises AttributeError: If no 'filename' attribute exists.
@@ -543,20 +553,15 @@ def from_array(
     ) -> RasterType:
         """Create a raster from a numpy array and the georeferencing information.
 
-        :param data: data array
-
-        :param transform: the 2-D affine transform for the image mapping.
-            Either a tuple(x_res, 0.0, top_left_x, 0.0, y_res, top_left_y) or
-            an affine.Affine object.
-
-        :param crs: Coordinate Reference System for image. Either a rasterio CRS,
-            or the EPSG integer.
+        :param data: Input array.
+        :param transform: Affine 2D transform. Either a tuple(x_res, 0.0, top_left_x,
+            0.0, y_res, top_left_y) or an affine.Affine object.
+        :param crs: Coordinate reference system. Either a rasterio CRS,
+            or an EPSG integer.
 
-        :param nodata: nodata value
-
-
-        :returns: A Raster object containing the provided data.
+        :param nodata: Nodata value.
 
+        :returns: Raster created from the provided array and georeferencing.
 
         Example:
 
@@ -859,7 +864,7 @@ def __add__(self: RasterType, other: RasterType | np.ndarray | Number) -> Raster
         """
         Sum two rasters, or a raster and a numpy array, or a raster and single number.
 
-        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        If other is a Raster, it must have the same shape, transform and crs as self.
         If other is a np.ndarray, it must have the same shape.
         Otherwise, other must be a single number.
         """
@@ -876,17 +881,27 @@ def __add__(self: RasterType, other: RasterType | np.ndarray | Number) -> Raster
 
     def __radd__(self: RasterType, other: np.ndarray | Number) -> RasterType:
         """
-        Addition overloading when other is first item in the operation (e.g. 1 + rst).
+        Sum two rasters, or a raster and a numpy array, or a raster and single number.
+
+        For when other is first item in the operation (e.g. 1 + rst).
         """
         return self.__add__(other)
 
     def __neg__(self: RasterType) -> RasterType:
-        """Return self with self.data set to -self.data"""
+        """
+        Take the raster negation.
+
+        Returns a raster with -self.data.
+        """
         return self.from_array(-self.data, self.transform, self.crs, nodata=self.nodata)
 
     def __sub__(self, other: Raster | np.ndarray | Number) -> Raster:
         """
-        Subtract two rasters. Both rasters must have the same data.shape, transform and crs.
+        Subtract two rasters, or a raster and a numpy array, or a raster and single number.
+
+        If other is a Raster, it must have the same shape, transform and crs as self.
+        If other is a np.ndarray, it must have the same shape.
+        Otherwise, other must be a single number.
         """
         self_data, other_data, nodata = self._overloading_check(other)
         out_data = self_data - other_data
@@ -894,7 +909,9 @@ def __sub__(self, other: Raster | np.ndarray | Number) -> Raster:
 
     def __rsub__(self: RasterType, other: np.ndarray | Number) -> RasterType:
         """
-        Subtraction overloading when other is first item in the operation (e.g. 1 - rst).
+        Subtract two rasters, or a raster and a numpy array, or a raster and single number.
+
+        For when other is first item in the operation (e.g. 1 - rst).
         """
         self_data, other_data, nodata = self._overloading_check(other)
         out_data = other_data - self_data
@@ -902,8 +919,9 @@ def __rsub__(self: RasterType, other: np.ndarray | Number) -> RasterType:
 
     def __mul__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:
         """
-        Multiply the data of two rasters or a raster and a numpy array, or a raster and single number.
-        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        Multiply two rasters, or a raster and a numpy array, or a raster and single number.
+
+        If other is a Raster, it must have the same shape, transform and crs as self.
         If other is a np.ndarray, it must have the same shape.
         Otherwise, other must be a single number.
         """
@@ -914,14 +932,17 @@ def __mul__(self: RasterType, other: RasterType | np.ndarray | Number) -> Raster
 
     def __rmul__(self: RasterType, other: np.ndarray | Number) -> RasterType:
         """
-        Multiplication overloading when other is first item in the operation (e.g. 2 * rst).
+        Multiply two rasters, or a raster and a numpy array, or a raster and single number.
+
+        For when other is first item in the operation (e.g. 2 * rst).
         """
         return self.__mul__(other)
 
     def __truediv__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:
         """
-        True division of the data of two rasters or a raster and a numpy array, or a raster and single number.
-        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        True division of two rasters, or a raster and a numpy array, or a raster and single number.
+
+        If other is a Raster, it must have the same shape, transform and crs as self.
         If other is a np.ndarray, it must have the same shape.
         Otherwise, other must be a single number.
         """
@@ -932,7 +953,9 @@ def __truediv__(self: RasterType, other: RasterType | np.ndarray | Number) -> Ra
 
     def __rtruediv__(self: RasterType, other: np.ndarray | Number) -> RasterType:
         """
-        True division overloading when other is first item in the operation (e.g. 1/rst).
+        True division of two rasters, or a raster and a numpy array, or a raster and single number.
+
+        For when other is first item in the operation (e.g. 1/rst).
         """
         self_data, other_data, nodata = self._overloading_check(other)
         out_data = other_data / self_data
@@ -941,8 +964,9 @@ def __rtruediv__(self: RasterType, other: np.ndarray | Number) -> RasterType:
 
     def __floordiv__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:
         """
-        Floor division of the data of two rasters or a raster and a numpy array, or a raster and single number.
-        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        Floor division of two rasters, or a raster and a numpy array, or a raster and single number.
+
+        If other is a Raster, it must have the same shape, transform and crs as self.
         If other is a np.ndarray, it must have the same shape.
         Otherwise, other must be a single number.
         """
@@ -953,7 +977,9 @@ def __floordiv__(self: RasterType, other: RasterType | np.ndarray | Number) -> R
 
     def __rfloordiv__(self: RasterType, other: np.ndarray | Number) -> RasterType:
         """
-        Floor division overloading when other is first item in the operation (e.g. 1/rst).
+        Floor division of two rasters, or a raster and a numpy array, or a raster and single number.
+
+        For when other is first item in the operation (e.g. 1/rst).
         """
         self_data, other_data, nodata = self._overloading_check(other)
         out_data = other_data // self_data
@@ -962,8 +988,9 @@ def __rfloordiv__(self: RasterType, other: np.ndarray | Number) -> RasterType:
 
     def __mod__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:
         """
-        Modulo of the data of two rasters or a raster and a numpy array, or a raster and single number.
-        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        Modulo of two rasters, or a raster and a numpy array, or a raster and single number.
+
+        If other is a Raster, it must have the same shape, transform and crs as self.
         If other is a np.ndarray, it must have the same shape.
         Otherwise, other must be a single number.
         """
@@ -974,7 +1001,7 @@ def __mod__(self: RasterType, other: RasterType | np.ndarray | Number) -> Raster
 
     def __pow__(self: RasterType, power: int | float) -> RasterType:
         """
-        Calculate the power of self.data and returns a Raster.
+        Power of a raster to a number.
         """
         # Check that input is a number
         if not isinstance(power, Number):
@@ -988,8 +1015,11 @@ def __pow__(self: RasterType, power: int | float) -> RasterType:
 
     def __eq__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:  # type: ignore
         """
-        Element-wise equality cast into a Mask subclass.
-        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        Element-wise equality of two rasters, or a raster and a numpy array, or a raster and single number.
+
+        This operation casts the result into a Mask.
+
+        If other is a Raster, it must have the same shape, transform and crs as self.
         If other is a np.ndarray, it must have the same shape.
         Otherwise, other must be a single number.
         """
@@ -1000,8 +1030,11 @@ def __eq__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterT
 
     def __ne__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:  # type: ignore
         """
-        Element-wise equality cast into a Mask subclass.
-        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        Element-wise negation of two rasters, or a raster and a numpy array, or a raster and single number.
+
+        This operation casts the result into a Mask.
+
+        If other is a Raster, it must have the same shape, transform and crs as self.
         If other is a np.ndarray, it must have the same shape.
         Otherwise, other must be a single number.
         """
@@ -1012,8 +1045,12 @@ def __ne__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterT
 
     def __lt__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:
         """
-        Element-wise equality cast into a Mask subclass.
-        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        Element-wise lower than comparison of two rasters, or a raster and a numpy array,
+        or a raster and single number.
+
+        This operation casts the result into a Mask.
+
+        If other is a Raster, it must have the same shape, transform and crs as self.
         If other is a np.ndarray, it must have the same shape.
         Otherwise, other must be a single number.
         """
@@ -1024,8 +1061,12 @@ def __lt__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterT
 
     def __le__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:
         """
-        Element-wise equality cast into a Mask subclass.
-        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        Element-wise lower or equal comparison of two rasters, or a raster and a numpy array,
+        or a raster and single number.
+
+        This operation casts the result into a Mask.
+
+        If other is a Raster, it must have the same shape, transform and crs as self.
         If other is a np.ndarray, it must have the same shape.
         Otherwise, other must be a single number.
         """
@@ -1036,8 +1077,12 @@ def __le__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterT
 
     def __gt__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:
         """
-        Element-wise equality cast into a Mask subclass.
-        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        Element-wise greater than comparison of two rasters, or a raster and a numpy array,
+        or a raster and single number.
+
+        This operation casts the result into a Mask.
+
+        If other is a Raster, it must have the same shape, transform and crs as self.
         If other is a np.ndarray, it must have the same shape.
         Otherwise, other must be a single number.
         """
@@ -1048,8 +1093,12 @@ def __gt__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterT
 
     def __ge__(self: RasterType, other: RasterType | np.ndarray | Number) -> RasterType:
         """
-        Element-wise equality cast into a Mask subclass.
-        If other is a Raster, it must have the same data.shape, transform and crs as self.
+        Element-wise greater or equal comparison of two rasters, or a raster and a numpy array,
+        or a raster and single number.
+
+        This operation casts the result into a Mask.
+
+        If other is a Raster, it must have the same shape, transform and crs as self.
         If other is a np.ndarray, it must have the same shape.
         Otherwise, other must be a single number.
         """
@@ -1068,12 +1117,12 @@ def astype(self, dtype: DTypeLike, inplace: Literal[True]) -> None:
 
     def astype(self, dtype: DTypeLike, inplace: bool = False) -> Raster | None:
         """
-        Convert the data type of a raster.
+        Convert data type of the raster.
 
-        :param dtype: Any numpy dtype or string accepted by numpy.astype
-        :param inplace: Set to True to modify the raster in place.
+        :param dtype: Any numpy dtype or string accepted by numpy.astype.
+        :param inplace: Whether to modify the raster in-place.
 
-        :returns: the output Raster with dtype changed.
+        :returns: Raster with updated dtype.
         """
         # Check that dtype is supported by rasterio
         if not rio.dtypes.check_dtype(dtype):
@@ -1132,7 +1181,7 @@ def nodata(self, new_nodata: int | float | tuple[int, ...] | tuple[float, ...] |
         To set nodata for more complex cases (e.g., redefining a wrong nodata that has a valid value in the array),
         call the function set_nodata() directly to set the arguments update_array and update_mask adequately.
 
-        :param new_nodata: New nodata to assign to this instance of Raster
+        :param new_nodata: New nodata to assign to this instance of Raster.
         """
 
         self.set_nodata(nodata=new_nodata)
@@ -1164,10 +1213,10 @@ def set_nodata(
 
         If None is passed as nodata, only the metadata is updated and the mask of oldnodata unset.
 
-        :param nodata: Nodata values
-        :param update_array: Update the old nodata values into new nodata values in the data array
+        :param nodata: Nodata values.
+        :param update_array: Update the old nodata values into new nodata values in the data array.
         :param update_mask: Update the old mask by unmasking old nodata and masking new nodata (if array is updated,
-            old nodata are changed to new nodata and thus stay masked)
+            old nodata are changed to new nodata and thus stay masked).
         """
         if nodata is not None and not isinstance(nodata, (tuple, int, float, np.integer, np.floating)):
             raise ValueError("Type of nodata not understood, must be tuple or float or int")
@@ -1257,7 +1306,7 @@ def data(self) -> np.ma.masked_array:
         """
         Array of the raster.
 
-        :returns: data array.
+        :returns: Raster array.
 
         """
         if not self.is_loaded:
@@ -1279,7 +1328,7 @@ def data(self, new_data: np.ndarray | np.ma.masked_array) -> None:
         5. Masks non-finite values that are unmasked, whether the input is a classic array or a masked_array. Note that
             these values are not overwritten and can still be accessed in .data.data.
 
-        :param new_data: New data to assign to this instance of Raster
+        :param new_data: New data to assign to this instance of Raster.
 
         """
         # Check that new_data is a Numpy array
@@ -1361,7 +1410,7 @@ def set_mask(self, mask: np.ndarray | Mask) -> None:
         Masking is performed in place. The mask must have the same shape as loaded data,
         unless the first dimension is 1, then it is ignored.
 
-        :param mask: The data mask
+        :param mask: The raster array mask.
         """
         # Check that mask is a Numpy array
         if not isinstance(mask, (np.ndarray, Mask)):
@@ -1440,9 +1489,9 @@ def copy(self: RasterType, new_array: np.ndarray | None = None) -> RasterType:
         """
         Copy the raster in-memory.
 
-        :param new_array: New array to use for the copied raster
+        :param new_array: New array to use in the copied raster.
 
-        :return:
+        :return: Copy of the raster.
         """
         if new_array is not None:
             data = new_array
@@ -1457,9 +1506,9 @@ def georeferenced_grid_equal(self: RasterType, raster: RasterType) -> bool:
         """
         Check that raster shape, geotransform and CRS are equal.
 
-        :param raster: Another raster object
+        :param raster: Another raster.
 
-        :return: Whether the two objects have the same georeferenced grid
+        :return: Whether the two objects have the same georeferenced grid.
         """
 
         return all([self.shape == raster.shape, self.transform == raster.transform, self.crs == raster.crs])
@@ -1677,20 +1726,19 @@ def crop(
         """
         Crop the raster to a given extent.
 
-        Match-reference: a reference raster or vector can be passed to match bounds during cropping.
+        **Match-reference:** a reference raster or vector can be passed to match bounds during cropping.
 
         Reprojection is done on the fly if georeferenced objects have different projections.
 
-        :param crop_geom: Geometry to crop raster to, as either a Raster object, a Vector object, or a list of
-            coordinates. If cropGeom is a Raster, crop() will crop to the boundary of the raster as returned by
-            Raster.ds.bounds. If cropGeom is a Vector, crop() will crop to the bounding geometry. If cropGeom is a
+        :param crop_geom: Geometry to crop raster to. Can use either a raster or vector as match-reference, or a list of
+            coordinates. If ``crop_geom`` is a raster or vector, will crop to the bounds. If ``crop_geom`` is a
             list of coordinates, the order is assumed to be [xmin, ymin, xmax, ymax].
-        :param mode: one of 'match_pixel' (default) or 'match_extent'. 'match_pixel' will preserve the original pixel
-            resolution, cropping to the extent that most closely aligns with the current coordinates. 'match_extent'
+        :param mode: Either ``"match_pixel"`` (default) or ``"match_extent"``. ``'match_pixel'`` will preserve the original pixel
+            resolution, cropping to the extent that most closely aligns with the current coordinates. ``'match_extent'``
             will match the extent exactly, adjusting the pixel resolution to fit the extent.
-        :param inplace: Update the raster inplace or return copy.
+        :param inplace: Whether to update the raster in-place.
 
-        :returns: None if inplace=True and a new Raster if inplace=False
+        :returns: None for in-place cropping (defaults) or a new raster otherwise.
         """
         assert mode in [
             "match_extent",
@@ -1757,33 +1805,33 @@ def reproject(
         """
         Reproject raster to a different geotransform (resolution, bounds) and/or coordinate reference system (CRS).
 
-        Match-reference: a reference raster can be passed to match resolution, bounds and CRS during reprojection.
+        **Match-reference**: a reference raster can be passed to match resolution, bounds and CRS during reprojection.
 
         Alternatively, the destination resolution, bounds and CRS can be passed individually.
 
         Any resampling algorithm implemented in Rasterio can be passed as a string.
-        See https://rasterio.readthedocs.io/en/stable/api/rasterio.enums.html#rasterio.enums.Resampling
-        for the full list.
-
-        :param dst_ref: A reference raster. If set will use the attributes of this
-            raster for the output grid.
-        :param dst_crs: Specify the Coordinate Reference System or EPSG to reproject to. If dst_ref not set,
-            defaults to self.crs.
-        :param dst_size: Raster size to write to (x, y). Do not use with dst_res.
-        :param dst_bounds: a BoundingBox object or a dictionary containing left, bottom, right, top bounds in the
-            destination CRS.
-        :param dst_res: Pixel size in units of destination CRS. Either 1 value or (xres, yres). Do not use with
-            dst_size.
-        :param dst_nodata: nodata value of the destination. If set to None, will use the same as source,
-            and if source is None, will use GDAL's default.
-        :param dst_dtype: Set data type of output.
-        :param src_nodata: nodata value of the source. If set to None, will read from the metadata.
-        :param resampling: A rasterio Resampling method
-        :param silent: If True, will not print warning statements
-        :param n_threads: The number of worker threads. Defaults to (os.cpu_count() - 1).
-        :param memory_limit: The warp operation memory limit in MB. Larger values may perform better.
-
-        :returns: Reprojected raster
+
+
+        :param dst_ref: Reference raster to match resolution, bounds and CRS.
+        :param dst_crs: Destination coordinate reference system as a string or EPSG. If ``dst_ref`` not set,
+            defaults to this raster's CRS.
+        :param dst_size: Destination size as (x, y). Do not use with ``dst_res``.
+        :param dst_bounds: Destination bounds as a Rasterio bounding box, or a dictionary containing left, bottom,
+            right, top bounds in the destination CRS.
+        :param dst_res: Destination resolution (pixel size) in units of destination CRS. Single value or (xres, yres).
+            Do not use with ``dst_size``.
+        :param dst_nodata: Destination nodata value. If set to ``None``, will use the same as source. If source does
+            not exist, will use GDAL's default.
+        :param dst_dtype: Destination data type of array.
+        :param src_nodata: Force a source nodata value (read from the metadata by default).
+        :param resampling: A Rasterio resampling method, can be passed as a string.
+            See https://rasterio.readthedocs.io/en/stable/api/rasterio.enums.html#rasterio.enums.Resampling
+            for the full list.
+        :param silent: Whether to print warning statements.
+        :param n_threads: Number of threads. Defaults to (os.cpu_count() - 1).
+        :param memory_limit: Memory limit in MB for warp operations. Larger values may perform better.
+
+        :returns: Reprojected raster.
 
         """
 
@@ -2001,10 +2049,10 @@ def reproject(
 
     def shift(self, xoff: float, yoff: float) -> None:
         """
-        Shift the raster by a X/Y offset.
+        Shift the raster by a (x,y) offset.
 
-        :param xoff: Translation X offset.
-        :param yoff: Translation Y offset.
+        :param xoff: Translation x offset.
+        :param yoff: Translation y offset.
 
 
         """
@@ -2037,20 +2085,19 @@ def save(
         pixel instead.
 
         :param filename: Filename to write the file to.
-        :param driver: the 'GDAL' driver to use to write the file as.
-        :param dtype: Data Type to write the image as (defaults to dtype of image data)
-        :param nodata: nodata value to be used.
-        :param compress: Compression type. Defaults to 'deflate' (equal to GDALs: COMPRESS=DEFLATE)
+        :param driver: Driver to write file with.
+        :param dtype: Data type to write the image as (defaults to dtype of image data).
+        :param nodata: Force a nodata value to be used (default to that of raster).
+        :param compress: Compression type. Defaults to 'deflate' (equal to GDALs: COMPRESS=DEFLATE).
         :param tiled: Whether to write blocks in tiles instead of strips. Improves read performance on large files,
-                      but increases file size.
-        :param blank_value: Use to write an image out with every pixel's value
+            but increases file size.
+        :param blank_value: Use to write an image out with every pixel's value.
             corresponding to this value, instead of writing the image data to disk.
         :param co_opts: GDAL creation options provided as a dictionary,
-            e.g. {'TILED':'YES', 'COMPRESS':'LZW'}
-        :param metadata: pairs of metadata key, value
-        :param gcps: list of gcps, each gcp being [row, col, x, y, (z)]
-        :param gcps_crs: the CRS of the GCPS (Default is None)
-
+            e.g. {'TILED':'YES', 'COMPRESS':'LZW'}.
+        :param metadata: Pairs of metadata key, value.
+        :param gcps: List of gcps, each gcp being [row, col, x, y, (z)].
+        :param gcps_crs: CRS of the GCPS.
 
         :returns: None.
         """
@@ -2132,7 +2179,7 @@ def to_xarray(self, name: str | None = None) -> xr.DataArray:
         See the documentation of rioxarray and xarray for more information on
         the methods and attributes of the resulting DataArray.
 
-        :param name: Set the name of the DataArray.
+        :param name: Name attribute for the DataArray.
 
         :returns: xarray DataArray
         """
@@ -2149,7 +2196,7 @@ def get_bounds_projected(self, out_crs: CRS, densify_pts: int = 5000) -> rio.coo
         """
         Get raster bounds projected in a specified CRS.
 
-        :param out_crs: Output CRS
+        :param out_crs: Output CRS.
         :param densify_pts: Maximum points to be added between image corners to account for non linear edges.
          Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
 
@@ -2220,7 +2267,7 @@ def show(
         This method is a wrapper to rasterio.plot.show. Any \*\*kwargs which
         you give this method will be passed to it.
 
-        :param index: Which band to plot, from 1 to self.count (default is all).
+        :param index: Band to plot, from 1 to self.count (default is all).
         :param cmap: The figure's colormap. Default is plt.rcParams['image.cmap'].
         :param vmin: Colorbar minimum value. Default is data min.
         :param vmax: Colorbar maximum value. Default is data max.
@@ -2231,7 +2278,7 @@ def show(
             If "new", will create a new axis.
         :param return_axes: Whether to return axes.
 
-        :returns: None, or (ax, caxes) if return_axes is True
+        :returns: None, or (ax, caxes) if return_axes is True.
 
 
         You can also pass in \*\*kwargs to be used by the underlying imshow or
@@ -2341,9 +2388,9 @@ def value_at_coords(
         index: int | None = None,
         masked: bool = False,
         window: int | None = None,
+        reducer_function: Callable[[np.ndarray], float] = np.ma.mean,
         return_window: bool = False,
         boundless: bool = True,
-        reducer_function: Callable[[np.ndarray], float] = np.ma.mean,
     ) -> Any:
         """
         Extract raster values at the nearest pixels from the specified coordinates,
@@ -2351,24 +2398,18 @@ def value_at_coords(
 
         By default, samples pixel value of each band. Can be passed a band index to sample from.
 
-        :param x: x (or longitude) coordinate(s).
-        :param y: y (or latitude) coordinate(s).
-        :param latlon: Set to True if coordinates provided as longitude/latitude.
-        :param index: The band number to extract from (from 1 to self.count).
-        :param masked: If `masked` is `True` the return value will be a masked
-            array. Otherwise (the default) the return value will be a
-            regular array.
-        :param window: expand area around coordinate to dimensions
-            window * window. window must be odd.
-        :param return_window: If True when window=int, returns (mean,array)
-            where array is the dataset extracted via the specified window size.
-        :param boundless: If `True`, windows that extend beyond the dataset's extent
-            are permitted and partially or completely filled arrays (with self.nodata) will
-            be returned as appropriate.
-        :param reducer_function: a function to apply to the values in window.
-
-        :returns: When called on a Raster or with a specific band set, return value of pixel.
-        :returns: If multiple band Raster and the band is not specified, a
+        :param x: X (or longitude) coordinate(s).
+        :param y: Y (or latitude) coordinate(s).
+        :param latlon: Whether coordinates are provided as longitude-latitude.
+        :param index: Band number to extract from (from 1 to self.count).
+        :param masked: Whether to return a masked array, or classic array.
+        :param window: Window size to read around coordinates. Must be odd.
+        :param reducer_function: Reducer function to apply to the values in window (defaults to np.mean).
+        :param return_window: Whether to return the windows (in addition to the reduced value).
+        :param boundless: Whether to allow windows that extend beyond the extent.
+
+        :returns: When called on a raster or with a specific band set, return value of pixel.
+        :returns: If multiple band raster and the band is not specified, a
             dictionary containing the value of the pixel in each band.
         :returns: In addition, if return_window=True, return tuple of (values, arrays)
 
@@ -2566,11 +2607,11 @@ def xy2ij(
         :param x: X coordinates.
         :param y: Y coordinates.
         :param op: Operator to compute index.
-        :param precision: Precision passed to rio.Dataset.index.
+        :param precision: Precision passed to :func:`rasterio.transform.rowcol`.
         :param shift_area_or_point: Shifts index to center pixel coordinates if GDAL's AREA_OR_POINT
             attribute (in self.tags) is "Point", keeps the corner pixel coordinate for "Area".
 
-        :returns i, j: indices of (x,y) in the image.
+        :returns i, j: Indices of (x,y) in the image.
         """
         # Input checks
         if op not in [np.float32, np.float64, float]:
@@ -2659,9 +2700,9 @@ def outside_image(self, xi: ArrayLike, yj: ArrayLike, index: bool = True) -> boo
 
         :param xi: Indices (or coordinates) of x direction to check.
         :param yj: Indices (or coordinates) of y direction to check.
-        :param index: Interpret ij as raster indices (default is True). If False, assumes ij is coordinates.
+        :param index: Interpret ij as raster indices (default is ``True``). If False, assumes ij is coordinates.
 
-        :returns is_outside: True if ij is outside the image.
+        :returns is_outside: ``True`` if ij is outside the image.
         """
         if not index:
             xi, xj = self.xy2ij(xi, yj)
@@ -2866,7 +2907,7 @@ def polygonize(
         Polygonize the raster into a vector.
 
         :param target_values: Value or range of values of the raster from which to
-          create geometries (Default is 1). If 'all', all unique pixel values of the raster are used.
+          create geometries (defaults to 'all', for which all unique pixel values of the raster are used).
 
         :returns: Vector containing the polygonized geometries.
         """
@@ -2941,19 +2982,22 @@ def proximity(
         """
         Compute proximity distances to the raster target pixels, or to a vector geometry on the raster grid.
 
-        When passing a Vector, by default, the boundary of the geometry will be used. The full geometry can be used by
+        **Match-reference**: a raster can be passed to match its resolution, bounds and CRS for computing
+        proximity distances.
+
+        When passing a vector, by default, the boundary of the geometry will be used. The full geometry can be used by
         passing "geometry", or any lower dimensional geometry attribute such as "centroid", "envelope" or "convex_hull".
         See all geometry attributes in the Shapely documentation at https://shapely.readthedocs.io/.
 
         :param vector: Vector for which to compute the proximity to geometry,
-            if not provided computed on this Raster target pixels.
-        :param target_values: (Only with Raster) List of target values to use for the proximity,
+            if not provided computed on this raster target pixels.
+        :param target_values: (Only with raster) List of target values to use for the proximity,
             defaults to all non-zero values.
-        :param geometry_type: (Only with a Vector) Type of geometry to use for the proximity, defaults to 'boundary'.
-        :param in_or_out: (Only with a Vector) Compute proximity only 'in' or 'out'-side the geometry, or 'both'.
+        :param geometry_type: (Only with a vector) Type of geometry to use for the proximity, defaults to 'boundary'.
+        :param in_or_out: (Only with a vector) Compute proximity only 'in' or 'out'-side the geometry, or 'both'.
         :param distance_unit: Distance unit, either 'georeferenced' or 'pixel'.
 
-        :return: Proximity raster.
+        :return: Proximity distances raster.
         """
 
         proximity = proximity_from_vector_or_raster(
diff --git a/geoutils/vector.py b/geoutils/vector.py
index 54b03ce80..ac80e6ca7 100644
--- a/geoutils/vector.py
+++ b/geoutils/vector.py
@@ -49,9 +49,9 @@ class Vector:
 
     def __init__(self, filename_or_dataset: str | pathlib.Path | gpd.GeoDataFrame):
         """
-        Instantiate a vector from a filename or geopandas geodataframe.
+        Instantiate a vector from a filename or GeoPandas geodataframe.
 
-        :param filename_or_dataset: The filename or geodataframe.
+        :param filename_or_dataset: Path to file or GeoPandas geodataframe.
         """
 
         if isinstance(filename_or_dataset, (str, pathlib.Path)):
@@ -127,8 +127,7 @@ def info(self) -> str:
         """
         Summarize information about the vector.
 
-        :returns: text information about Vector attributes.
-        :rtype: str
+        :returns: Unformation about vector attributes.
         """
         as_str = [  # 'Driver:             {} \n'.format(self.driver),
             f"Filename:           {self.name} \n",
@@ -160,8 +159,8 @@ def show(
         This method is a wrapper to geopandas.GeoDataFrame.plot. Any \*\*kwargs which
         you give this method will be passed to it.
 
-        :param ref_crs: The CRS to match when plotting.
-        :param cmap: The colormap. Default is plt.rcParams['image.cmap'].
+        :param ref_crs: Coordinate reference system to match when plotting.
+        :param cmap: Colormap to use. Default is plt.rcParams['image.cmap'].
         :param vmin: Colorbar minimum value. Default is data min.
         :param vmax: Colorbar maximum value. Default is data max.
         :param alpha: Transparency of raster and colorbar.
@@ -329,18 +328,17 @@ def crop(
         """
         Crop the vector to given extent.
 
-        Match-reference: a reference raster or vector can be passed to match bounds during cropping.
+        **Match-reference:** a reference raster or vector can be passed to match bounds during cropping.
 
         Optionally, clip geometries to that extent (by default keeps all intersecting).
 
         Reprojection is done on the fly if georeferenced objects have different projections.
 
         :param crop_geom: Geometry to crop vector to, as either a Raster object, a Vector object, or a list of
-            coordinates. If cropGeom is a Raster, crop() will crop to the boundary of the raster as returned by
-            Raster.ds.bounds. If cropGeom is a Vector, crop() will crop to the bounding geometry. If cropGeom is a
+            coordinates. If ``crop_geom`` is a raster or a vector, will crop to the bounds. If ``crop_geom`` is a
             list of coordinates, the order is assumed to be [xmin, ymin, xmax, ymax].
         :param clip: Whether to clip the geometry to the given extent (by default keeps all intersecting).
-        :param inplace: Update the vector inplace or return copy.
+        :param inplace: Update the vector in-place or return copy.
         """
         if isinstance(crop_geom, (gu.Raster, Vector)):
             # For another Vector or Raster, we reproject the bounding box in the same CRS as self
@@ -372,18 +370,18 @@ def reproject(
         """
         Reproject vector to a specified coordinate reference system.
 
-        Match-reference: a reference raster or vector can be passed to match CRS during reprojection.
+        **Match-reference:** a reference raster or vector can be passed to match CRS during reprojection.
 
         Alternatively, a CRS can be passed in many formats (string, EPSG integer, or CRS).
 
         To reproject a Vector with different source bounds, first run Vector.crop().
 
         :param dst_ref: A reference raster or vector whose CRS to use as a reference for reprojection.
-            Can be provided as Raster, Vector, rasterio dataset, geopandas dataframe, or path to the file.
+            Can be provided as a raster, vector, Rasterio dataset, GeoPandas dataframe, or path to the file.
         :param dst_crs: Specify the Coordinate Reference System or EPSG to reproject to. If dst_ref not set,
             defaults to self.crs.
 
-        :returns: Reprojected vector
+        :returns: Reprojected vector.
         """
 
         # Check that either dst_ref or dst_crs is provided
@@ -461,14 +459,14 @@ def create_mask(
         """
         Create a mask from the vector features.
 
-        Match-reference: a raster can be passed to match its resolution, bounds and CRS when creating the mask.
+        **Match-reference:** a raster can be passed to match its resolution, bounds and CRS when creating the mask.
 
         Alternatively, user can specify a grid to rasterize on using xres, yres, bounds and crs.
         Only xres is mandatory, by default yres=xres and bounds/crs are set to self's.
 
         Vector features which fall outside the bounds of the raster file are not written to the new mask file.
 
-        :param rst: A raster
+        :param rst: Reference raster to match during rasterization.
         :param crs: A pyproj or rasterio CRS object (Default to rst.crs if not None then self.crs)
         :param xres: Output raster spatial resolution in x. Only is rst is None.
         :param yres: Output raster spatial resolution in y. Only if rst is None. (Default to xres)
@@ -571,25 +569,26 @@ def rasterize(
         """
         Rasterize vector to a raster or mask, with input geometries burned in.
 
-        Match-reference: a raster can be passed to match its resolution, bounds and CRS when rasterizing the vector.
+        **Match-reference:** a raster can be passed to match its resolution, bounds and CRS when rasterizing the vector.
+
         Alternatively, user can specify a grid to rasterize on using xres, yres, bounds and crs.
         Only xres is mandatory, by default yres=xres and bounds/crs are set to self's.
 
         Burn value is set by user and can be either a single number, or an iterable of same length as self.ds.
         Default is an index from 1 to len(self.ds).
 
-        :param rst: A raster to be used as reference for the output grid
-        :param crs: A pyproj or rasterio CRS object (Default to rst.crs if not None then self.crs)
+        :param rst: Reference raster to match during rasterization.
+        :param crs: Coordinate reference system as string or EPSG code (Default to rst.crs if not None then self.crs).
         :param xres: Output raster spatial resolution in x. Only if rst is None.
             Must be in units of crs, if set.
         :param yres: Output raster spatial resolution in y. Only if rst is None.
-            Must be in units of crs, if set. (Default to xres)
-        :param bounds: Output raster bounds (left, bottom, right, top). Only if rst is None
+            Must be in units of crs, if set. (Default to xres).
+        :param bounds: Output raster bounds (left, bottom, right, top). Only if rst is None.
             Must be in same system as crs, if set. (Default to self bounds).
-        :param in_value: Value(s) to be burned inside the polygons (Default is self.ds.index + 1)
-        :param out_value: Value to be burned outside the polygons (Default is 0)
+        :param in_value: Value(s) to be burned inside the polygons (Default is self.ds.index + 1).
+        :param out_value: Value to be burned outside the polygons (Default is 0).
 
-        :returns: Raster or mask containing the burned geometries
+        :returns: Raster or mask containing the burned geometries.
         """
 
         if (rst is not None) and (crs is not None):
@@ -722,7 +721,7 @@ def proximity(
         """
         Compute proximity distances to this vector's geometry.
 
-        Match-reference: a raster can be passed to match its resolution, bounds and CRS for computing
+        **Match-reference**: a raster can be passed to match its resolution, bounds and CRS for computing
         proximity distances.
 
         Alternatively, a grid size can be passed to create a georeferenced grid with the bounds and CRS of this vector.
@@ -770,9 +769,9 @@ def buffer_metric(self, buffer_size: float) -> Vector:
 
         The outlines are projected to a local UTM, then reverted to the original projection after buffering.
 
-        :param buffer_size: Buffering distance in meters
+        :param buffer_size: Buffering distance in meters.
 
-        :return: Buffered shapefile
+        :return: Buffered shapefile.
         """
 
         from geoutils.projtools import latlon_to_utm, utm_to_epsg
@@ -809,7 +808,7 @@ def get_bounds_projected(self, out_crs: CRS, densify_pts: int = 5000) -> rio.coo
         """
         Get vector bounds projected in a specified CRS.
 
-        :param out_crs: Output CRS
+        :param out_crs: Output CRS.
         :param densify_pts: Maximum points to be added between image corners to account for nonlinear edges.
             Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
         """
@@ -834,8 +833,8 @@ def buffer_without_overlap(self, buffer_size: int | float, metric: bool = True,
         It could be implemented in GeoPandas in the future: https://github.com/geopandas/geopandas/issues/2015.
 
         :param buffer_size: Buffer size in self's coordinate system units.
-        :param metric: Whether to perform the buffering in a local metric system (default: True).
-        :param plot: Set to True to show intermediate plots, useful for understanding or debugging.
+        :param metric: Whether to perform the buffering in a local metric system (defaults to ``True``).
+        :param plot: Whether to show intermediate plots.
 
         :returns: A Vector containing the buffered geometries.
 
@@ -942,8 +941,8 @@ def extract_vertices(gdf: gpd.GeoDataFrame) -> list[list[tuple[float, float]]]:
 
     :param gdf: The GeoDataFrame from which the vertices need to be extracted.
 
-    :returns: A list containing a list of (x, y) positions of the vertices. The length of the primary list is equal \
-    to the number of geometries inside gdf, and length of each sublist is the number of vertices in the geometry.
+    :returns: A list containing a list of (x, y) positions of the vertices. The length of the primary list is equal
+        to the number of geometries inside gdf, and length of each sublist is the number of vertices in the geometry.
     """
     vertices = []
     # Loop on all geometries within gdf

From e0fd5a5c63ace77f3f0c0f43487bd40efa7e4f39 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 13 Mar 2023 16:58:12 -0700
Subject: [PATCH 121/184] Linting

---
 geoutils/raster/raster.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index 01fd3cbe7..f230402f9 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -335,8 +335,8 @@ def __init__(
                 self.transform = ds.transform
                 self.crs = ds.crs
                 self._nodata = ds.nodata
-                self.name = ds.name
-                self.driver = ds.driver
+                self._name = ds.name
+                self._driver = ds.driver
                 self.tags.update(ds.tags())
 
                 self._disk_shape = (ds.count, ds.height, ds.width)
@@ -1733,7 +1733,7 @@ def crop(
         :param crop_geom: Geometry to crop raster to. Can use either a raster or vector as match-reference, or a list of
             coordinates. If ``crop_geom`` is a raster or vector, will crop to the bounds. If ``crop_geom`` is a
             list of coordinates, the order is assumed to be [xmin, ymin, xmax, ymax].
-        :param mode: Either ``"match_pixel"`` (default) or ``"match_extent"``. ``'match_pixel'`` will preserve the original pixel
+        :param mode: Whether to match within pixels or exact extent. ``'match_pixel'`` will preserve the original pixel
             resolution, cropping to the extent that most closely aligns with the current coordinates. ``'match_extent'``
             will match the extent exactly, adjusting the pixel resolution to fit the extent.
         :param inplace: Whether to update the raster in-place.

From d66c72d607e41b64847f3b6dee83eb928ca1d563 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 14 Mar 2023 17:31:10 -0700
Subject: [PATCH 122/184] Reset cache for pip setup of new geoviewer

---
 .github/workflows/python-app.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index d5e43ffc7..b433a4b8a 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -48,7 +48,7 @@ jobs:
         path: ${{ env.CONDA }}/envs
         key: conda-${{ matrix.os }}-${{ matrix.python-version }}-${{ steps.get-date.outputs.month }}-${{ hashFiles('dev-environment.yml') }}-${{ env.CACHE_NUMBER }}
       env:
-        CACHE_NUMBER: 101 # Increase this value to reset cache if environment.yml has not changed
+        CACHE_NUMBER: 102 # Increase this value to reset cache if environment.yml has not changed
       id: cache
 
     # The trick below is necessary because the generic environment file does not specify a Python version, and only

From 7aedc987393b43708364bc5309ba3ca6873deb6f Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 16 Mar 2023 15:38:11 -0700
Subject: [PATCH 123/184] Try to remove graphviz

---
 dev-environment.yml | 2 --
 1 file changed, 2 deletions(-)

diff --git a/dev-environment.yml b/dev-environment.yml
index ec323bd75..cbed28090 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -14,8 +14,6 @@ dependencies:
   - autovizwidget
   - sphinx
   - myst-nb
-  - graphviz
-  - python-graphviz
   - sphinx-autodoc-typehints
   - sphinxcontrib-programoutput
   - numpydoc

From 02026243361e59b832c59e41a12f1cfc56e3c4e6 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 20 Mar 2023 18:22:59 -0700
Subject: [PATCH 124/184] Incremental commit on wrapping GeoPandas API

---
 .pre-commit-config.yaml        |   1 +
 bin/geoviewer.py               |   2 +-
 doc/source/api.md              | 132 ++++++++-
 doc/source/conf.py             |   4 +-
 geoutils/misc.py               |  56 +++-
 geoutils/projtools.py          |   6 +-
 geoutils/raster/multiraster.py |   2 +-
 geoutils/raster/raster.py      | 125 ++++-----
 geoutils/raster/sampling.py    |   2 +-
 geoutils/raster/satimg.py      |  22 +-
 geoutils/vector.py             | 492 ++++++++++++++++++++++++++++++---
 tests/test_raster.py           |   2 +-
 tests/test_vector.py           | 206 +++++++++++++-
 13 files changed, 922 insertions(+), 130 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 24e4f8c0e..dc0f3c23b 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -49,6 +49,7 @@ repos:
                 - id: mypy
                   args: [
                         --strict,
+                        --implicit-optional,
                         --ignore-missing-imports,  # Don't warn about stubs since pre-commit runs in a limited env
                         --allow-untyped-calls,  # Dynamic function/method calls are okay. Untyped function definitions are not okay.
                         --show-error-codes,
diff --git a/bin/geoviewer.py b/bin/geoviewer.py
index 60b58e500..f925d7c31 100755
--- a/bin/geoviewer.py
+++ b/bin/geoviewer.py
@@ -119,7 +119,7 @@ def getparser() -> argparse.ArgumentParser:
     return parser
 
 
-def main(test_args: Sequence[str] | None = None) -> None:
+def main(test_args: Sequence[str] = None) -> None:
 
     # Parse arguments
     parser = getparser()
diff --git a/doc/source/api.md b/doc/source/api.md
index 743207566..e74d6c622 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -1,7 +1,7 @@
 (api)=
 # API reference
 
-This page provides an auto-generated summary of GeoUtils’ API.
+This page provides a summary of GeoUtils’ API.
 For more details and examples, refer to the relevant chapters in the main part of the
 documentation.
 
@@ -247,12 +247,13 @@ And reverse operations.
     Mask.proximity
 ```
 
-## Vectors
+## Vector
 
 ```{eval-rst}
 .. minigallery:: geoutils.Vector
       :add-heading:
 ```
+
 ### Opening a file
 
 ```{eval-rst}
@@ -313,3 +314,130 @@ And reverse operations.
     :toctree: gen_modules/
 
     Vector.get_bounds_projected
+```
+
+### Indexing and assignment
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Vector.__getitem__
+    Vector.__setitem__
+```
+
+### From Shapely and GeoPandas
+
+#### Geometric attributes and methods
+
+This first category of attributes and methods return a geometric output, converted to a {class}`~geoutils.Vector` by default.
+
+Otherwise, calling the method from {attr}`Vector.ds<geoutils.Vector.ds>`, they return a {class}`geopandas.GeoSeries` or {class}`geopandas.GeoDataFrame` as in GeoPandas.
+
+**Attributes:**
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Vector.boundary
+    Vector.unary_union
+    Vector.centroid
+    Vector.convex_hull
+    Vector.envelope
+    Vector.exterior
+```
+
+
+**Methods:**
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Vector.representative_point
+    Vector.normalize
+    Vector.make_valid
+    Vector.difference
+    Vector.symmetric_difference
+    Vector.union
+    Vector.intersection
+    Vector.clip_by_rect
+    Vector.buffer
+    Vector.simplify
+    Vector.affine_transform
+    Vector.translate
+    Vector.rotate
+    Vector.scale
+    Vector.skew
+    Vector.interpolate
+    Vector.merge
+    Vector.dissolve
+    Vector.explode
+    Vector.sjoin
+    Vector.sjoin_nearest
+    Vector.overlay
+```
+
+#### Non-geometric per-feature attributes and methods
+
+This second category of attributes and methods return a non-geometric output with same length as the number of features. They are thus appended in the 
+dataframe of the current {class}`~geoutils.Vector` by default, using as column name the name of the operation (e.g., "area", "contains" or "intersects").
+
+Otherwise, calling the method from {attr}`Vector.ds<geoutils.Vector.ds>`, they return a {class}`pandas.Series` as in GeoPandas.
+
+**Attributes:**
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Vector.area
+    Vector.length
+    Vector.interiors
+    Vector.geom_type
+    Vector.geom_bounds
+    Vector.is_empty
+    Vector.is_ring
+    Vector.is_simple
+    Vector.has_z
+```
+
+**Methods:**
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Vector.contains
+    Vector.equals
+    Vector.geom_equals
+    Vector.geom_almost_equals
+    Vector.crosses
+    Vector.disjoint
+    Vector.intersects
+    Vector.overlaps
+    Vector.touches
+    Vector.within
+    Vector.covers
+    Vector.covered_by
+    Vector.distance
+    Vector.relate
+    Vector.project
+```
+
+#### Other attributes and methods
+
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Vector.has_sindex
+    Vector.sindex
+```
+
+```{seealso}
+The methods above are described in [GeoPandas GeoSeries's API](https://geopandas.org/en/stable/docs/reference/geoseries.html) and [Shapely object's 
+documentation](https://shapely.readthedocs.io/en/stable/properties.html).
+```
\ No newline at end of file
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 076ec2729..b580c18f0 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -53,10 +53,12 @@
     "numpy": ("https://numpy.org/doc/stable", None),
     "matplotlib": ("https://matplotlib.org/stable", None),
     "pyproj": ("https://pyproj4.github.io/pyproj/stable", None),
-    "geopandas": ("https://geopandas.org/en/stable", None),
+    "geopandas": ("https://geopandas.org/en/stable/", None),
+    "shapely": ("https://shapely.readthedocs.io/en/stable/", None),
     "xarray": ("https://docs.xarray.dev/en/stable/", None),
     "xdem": ("https://xdem.readthedocs.io/en/latest", None),
     "rioxarray": ("https://corteva.github.io/rioxarray/stable/", None),
+    "pandas": ("https://pandas.pydata.org/docs/", None),
 }
 
 sphinx_gallery_conf = {
diff --git a/geoutils/misc.py b/geoutils/misc.py
index 5202c36f8..34fe7ab28 100644
--- a/geoutils/misc.py
+++ b/geoutils/misc.py
@@ -4,7 +4,8 @@
 import copy
 import functools
 import warnings
-from typing import Any
+from typing import Any, Union, Callable
+from textwrap import dedent
 
 try:
     import yaml  # type: ignore
@@ -19,7 +20,7 @@
 import geoutils
 
 
-def deprecate(removal_version: str | None = None, details: str | None = None):  # type: ignore
+def deprecate(removal_version: str = None, details: str = None):  # type: ignore
     """
     Trigger a DeprecationWarning for the decorated function.
 
@@ -75,6 +76,57 @@ def new_func(*args, **kwargs):  # type: ignore
 
     return deprecator_func
 
+def copy_doc(old_class: object, new_class_name: str, origin_class: object = None, replace_return_series_statement: bool = False) -> Callable:
+    """
+    A decorator to copy docstring from a class to another class while replacing the docstring.
+    ----------
+    **params
+        The classes used to reformat docstring template.
+    """
+
+    def decorator(decorated: Callable) -> Callable:
+
+        # Get name of decorated object
+        # If object is a property, get name through fget
+        try:
+            decorated_name = decorated.fget.__name__
+        # Otherwise, directly with the name attribute
+        except AttributeError:
+            decorated_name = decorated.__name__
+
+        # Get parent doc
+        old_class_doc = getattr(old_class, decorated_name).__doc__
+        # Remove examples if there are any
+        doc_descript = old_class_doc.split("\n\n")[0]
+
+        # Remove duplicate white spaces while keeping lines
+        doc_descript = "\n".join([" ".join(spl.split()) for spl in doc_descript.splitlines()])
+        # Replace old class output name by the new class output name
+        replaced_descript = doc_descript.replace(old_class.__name__, new_class_name)
+
+        # Replace "Return a Series" statement by "Append a Series to Vector" if it exists
+        if replace_return_series_statement:
+            if replaced_descript[0:20] == "Returns a ``Series``":
+                replaced_descript = replaced_descript.replace("Returns a ``Series``", "Returns or appends to ``Vector`` a ``Series``")
+            else:
+                replaced_descript += " Can be appended to ``Vector``."
+
+        # Add an intersphinx link to the doc of the previous class
+        if origin_class is None:
+            orig_class = old_class
+        else:
+            orig_class = origin_class
+        # Get module and old class names
+        orig_module_name = orig_class.__module__.split(".")[0]
+        old_class_name = orig_class.__name__
+        add_link_to_old_class = "\n\nSee more details at :func:`" + orig_module_name + "." + old_class_name + "." + decorated_name + "`."
+
+        decorated.__doc__ = replaced_descript + add_link_to_old_class
+
+        return decorated
+
+    return decorator
+
 
 def resampling_method_from_str(method_str: str) -> rio.enums.Resampling:
     """Get a rasterio resampling method from a string representation, e.g. "cubic_spline"."""
diff --git a/geoutils/projtools.py b/geoutils/projtools.py
index 2ead03962..be152ed1a 100644
--- a/geoutils/projtools.py
+++ b/geoutils/projtools.py
@@ -65,8 +65,8 @@ def utm_to_epsg(utm: str) -> int:
 
 def bounds2poly(
     boundsGeom: list[float] | rio.io.DatasetReader,
-    in_crs: CRS | None = None,
-    out_crs: CRS | None = None,
+    in_crs: CRS = None,
+    out_crs: CRS = None,
 ) -> Polygon:
     """
     Converts self's bounds into a shapely Polygon. Optionally, returns it into a different CRS.
@@ -108,7 +108,7 @@ def merge_bounds(
     bounds_list: abc.Iterable[
         list[float] | tuple[float] | rio.coords.BoundingBox | rio.io.DatasetReader | gpd.GeoDataFrame
     ],
-    resolution: float | None = None,
+    resolution: float = None,
     merging_algorithm: str = "union",
     return_rio_bbox: bool = False,
 ) -> tuple[float, ...] | rio.coords.BoundingBox:
diff --git a/geoutils/raster/multiraster.py b/geoutils/raster/multiraster.py
index d6d3afb38..62c8c0bce 100644
--- a/geoutils/raster/multiraster.py
+++ b/geoutils/raster/multiraster.py
@@ -16,7 +16,7 @@
 
 
 def load_multiple_rasters(
-    raster_paths: list[str], crop: bool = True, ref_grid: int | None = None, **kwargs: Any
+    raster_paths: list[str], crop: bool = True, ref_grid: int = None, **kwargs: Any
 ) -> list[RasterType]:
     """
     Function to load multiple rasters at once in a memory efficient way.
diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index f230402f9..e2ac852ff 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -169,10 +169,10 @@ def _default_nodata(dtype: str | np.dtype | type) -> int:
 
 def _load_rio(
     dataset: rio.io.DatasetReader,
-    indexes: int | tuple[int, ...] | None = None,
+    indexes: int | tuple[int, ...] = None,
     masked: bool = False,
-    transform: Affine | None = None,
-    shape: tuple[int, int] | None = None,
+    transform: Affine = None,
+    shape: tuple[int, int] = None,
     **kwargs: Any,
 ) -> np.ma.masked_array:
     r"""
@@ -248,12 +248,12 @@ def __init__(
         | rio.io.DatasetReader
         | rio.io.MemoryFile
         | dict[str, Any],
-        indexes: None | int | list[int] = None,
+        indexes: int | list[int] = None,
         load_data: bool = False,
         downsample: AnyNumber = 1,
         masked: bool = True,
-        nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
-        attrs: list[str] | None = None,
+        nodata: int | float | tuple[int, ...] | tuple[float, ...] = None,
+        attrs: list[str] = None,
     ) -> None:
         """
         Instantiate a raster from a filename or rasterio dataset.
@@ -275,22 +275,22 @@ def __init__(
             ['bounds', 'count', 'crs', 'driver', 'dtypes', 'height', 'indexes',
             'name', 'nodata', 'res', 'shape', 'transform', 'width'] - if no attrs are specified, these will be added.
         """
-        self._driver: str | None = None
-        self._name: str | None = None
-        self.filename: str | None = None
+        self._driver: str = None
+        self._name: str = None
+        self.filename: str = None
         self.tags: dict[str, Any] = {}
 
-        self._data: np.ma.masked_array | None = None
+        self._data: np.ma.masked_array = None
         self._nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = nodata
         self._indexes = indexes
-        self._indexes_loaded: int | tuple[int, ...] | None = None
+        self._indexes_loaded: int | tuple[int, ...] = None
         self._masked = masked
-        self._out_shape: tuple[int, int, int] | None = None
-        self._disk_hash: int | None = None
+        self._out_shape: tuple[int, int, int] = None
+        self._disk_hash: int = None
         self._is_modified = True
-        self._disk_shape: tuple[int, int, int] | None = None
-        self._disk_indexes: tuple[int] | None = None
-        self._disk_dtypes: tuple[str] | None = None
+        self._disk_shape: tuple[int, int, int] = None
+        self._disk_indexes: tuple[int] = None
+        self._disk_dtypes: tuple[str] = None
 
         # This is for Raster.from_array to work.
         if isinstance(filename_or_dataset, dict):
@@ -487,7 +487,7 @@ def driver(self) -> str | None:
         """Driver used to read a file on disk."""
         return self._driver
 
-    def load(self, indexes: None | int | list[int] = None, **kwargs: Any) -> None:
+    def load(self, indexes: int | list[int] = None, **kwargs: Any) -> None:
         """
         Load the raster array from disk.
 
@@ -549,7 +549,7 @@ def from_array(
         data: np.ndarray | np.ma.masked_array,
         transform: tuple[float, ...] | Affine,
         crs: CRS | int | None,
-        nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
+        nodata: int | float | tuple[int, ...] | tuple[float, ...] = None,
     ) -> RasterType:
         """Create a raster from a numpy array and the georeferencing information.
 
@@ -1485,7 +1485,7 @@ def info(self, stats: bool = False) -> str:
 
         return "".join(as_str)
 
-    def copy(self: RasterType, new_array: np.ndarray | None = None) -> RasterType:
+    def copy(self: RasterType, new_array: np.ndarray = None) -> RasterType:
         """
         Copy the raster in-memory.
 
@@ -1789,14 +1789,14 @@ def crop(
 
     def reproject(
         self: RasterType,
-        dst_ref: RasterType | str | None = None,
-        dst_crs: CRS | str | int | None = None,
-        dst_size: tuple[int, int] | None = None,
-        dst_bounds: dict[str, float] | rio.coords.BoundingBox | None = None,
-        dst_res: float | abc.Iterable[float] | None = None,
-        dst_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
-        src_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
-        dst_dtype: np.dtype | None = None,
+        dst_ref: RasterType | str = None,
+        dst_crs: CRS | str | int = None,
+        dst_size: tuple[int, int] = None,
+        dst_bounds: dict[str, float] | rio.coords.BoundingBox = None,
+        dst_res: float | abc.Iterable[float] = None,
+        dst_nodata: int | float | tuple[int, ...] | tuple[float, ...] = None,
+        src_nodata: int | float | tuple[int, ...] | tuple[float, ...] = None,
+        dst_dtype: np.dtype = None,
         resampling: Resampling | str = Resampling.bilinear,
         silent: bool = False,
         n_threads: int = 0,
@@ -2064,22 +2064,19 @@ def save(
         self,
         filename: str | pathlib.Path | IO[bytes],
         driver: str = "GTiff",
-        dtype: DTypeLike | None = None,
-        nodata: AnyNumber | None = None,
+        dtype: DTypeLike = None,
+        nodata: AnyNumber = None,
         compress: str = "deflate",
         tiled: bool = False,
-        blank_value: None | int | float = None,
-        co_opts: dict[str, str] | None = None,
-        metadata: dict[str, Any] | None = None,
-        gcps: list[tuple[float, ...]] | None = None,
-        gcps_crs: CRS | None = None,
+        blank_value: int | float = None,
+        co_opts: dict[str, str] = None,
+        metadata: dict[str, Any] = None,
+        gcps: list[tuple[float, ...]] = None,
+        gcps_crs: CRS = None,
     ) -> None:
         """
         Write the raster to file.
 
-        Given a filename to save the Raster to, create a geo-referenced file
-        on disk which contains the contents of self.data.
-
         If blank_value is set to an integer or float, then instead of writing
         the contents of self.data to disk, write this provided value to every
         pixel instead.
@@ -2169,7 +2166,7 @@ def save(
 
                 dst.gcps = (rio_gcps, gcps_crs)
 
-    def to_xarray(self, name: str | None = None) -> xr.DataArray:
+    def to_xarray(self, name: str = None) -> xr.DataArray:
         """
         Convert raster to a xarray.DataArray.
 
@@ -2250,14 +2247,14 @@ def intersection(self, rst: str | Raster, match_ref: bool = True) -> tuple[float
 
     def show(
         self,
-        index: int | None = None,
-        cmap: matplotlib.colors.Colormap | str | None = None,
-        vmin: float | int | None = None,
-        vmax: float | int | None = None,
-        alpha: float | int | None = None,
-        cbar_title: str | None = None,
+        index: int = None,
+        cmap: matplotlib.colors.Colormap | str = None,
+        vmin: float | int = None,
+        vmax: float | int = None,
+        alpha: float | int = None,
+        cbar_title: str = None,
         add_cbar: bool = True,
-        ax: matplotlib.axes.Axes | Literal["new"] | None = None,
+        ax: matplotlib.axes.Axes | Literal["new"] = None,
         return_axes: bool = False,
         **kwargs: Any,
     ) -> None | tuple[matplotlib.axes.Axes, matplotlib.colors.Colormap]:
@@ -2385,9 +2382,9 @@ def value_at_coords(
         x: float | ArrayLike,
         y: float | ArrayLike,
         latlon: bool = False,
-        index: int | None = None,
+        index: int = None,
         masked: bool = False,
-        window: int | None = None,
+        window: int = None,
         reducer_function: Callable[[np.ndarray], float] = np.ma.mean,
         return_window: bool = False,
         boundless: bool = True,
@@ -2594,7 +2591,7 @@ def xy2ij(
         x: ArrayLike,
         y: ArrayLike,
         op: type = np.float32,
-        precision: float | None = None,
+        precision: float = None,
         shift_area_or_point: bool = False,
     ) -> tuple[np.ndarray, np.ndarray]:
         """
@@ -2771,7 +2768,7 @@ def interp_points(
 
         return rpts
 
-    def split_bands(self: RasterType, copy: bool = False, subset: list[int] | int | None = None) -> list[Raster]:
+    def split_bands(self: RasterType, copy: bool = False, subset: list[int] | int = None) -> list[Raster]:
         """
         Split the bands into separate rasters.
 
@@ -2973,8 +2970,8 @@ def polygonize(
 
     def proximity(
         self,
-        vector: Vector | None = None,
-        target_values: list[float] | None = None,
+        vector: Vector = None,
+        target_values: list[float] = None,
         geometry_type: str = "boundary",
         in_or_out: Literal["in"] | Literal["out"] | Literal["both"] = "both",
         distance_unit: Literal["pixel"] | Literal["georeferenced"] = "georeferenced",
@@ -3015,7 +3012,7 @@ def subsample(
         self,
         subsample: int | float,
         return_indices: bool = False,
-        random_state: None | np.random.RandomState | np.random.Generator | int = None,
+        random_state: np.random.RandomState | np.random.Generator | int = None,
     ) -> np.ndarray:
         """
         Randomly subsample the raster. Only valid values are considered.
@@ -3131,14 +3128,14 @@ def _repr_html_(self) -> str:
 
     def reproject(
         self: Mask,
-        dst_ref: RasterType | str | None = None,
-        dst_crs: CRS | str | int | None = None,
-        dst_size: tuple[int, int] | None = None,
-        dst_bounds: dict[str, float] | rio.coords.BoundingBox | None = None,
-        dst_res: float | abc.Iterable[float] | None = None,
-        dst_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
-        src_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
-        dst_dtype: np.dtype | None = None,
+        dst_ref: RasterType | str = None,
+        dst_crs: CRS | str | int = None,
+        dst_size: tuple[int, int] = None,
+        dst_bounds: dict[str, float] | rio.coords.BoundingBox = None,
+        dst_res: float | abc.Iterable[float] = None,
+        dst_nodata: int | float | tuple[int, ...] | tuple[float, ...] = None,
+        src_nodata: int | float | tuple[int, ...] | tuple[float, ...] = None,
+        dst_dtype: np.dtype = None,
         resampling: Resampling | str = Resampling.nearest,
         silent: bool = False,
         n_threads: int = 0,
@@ -3249,8 +3246,8 @@ def polygonize(
 
     def proximity(
         self,
-        vector: Vector | None = None,
-        target_values: list[float] | None = None,
+        vector: Vector = None,
+        target_values: list[float] = None,
         geometry_type: str = "boundary",
         in_or_out: Literal["in"] | Literal["out"] | Literal["both"] = "both",
         distance_unit: Literal["pixel"] | Literal["georeferenced"] = "georeferenced",
@@ -3335,8 +3332,8 @@ def __invert__(self: Mask) -> Mask:
 
 def proximity_from_vector_or_raster(
     raster: Raster,
-    vector: Vector | None = None,
-    target_values: list[float] | None = None,
+    vector: Vector = None,
+    target_values: list[float] = None,
     geometry_type: str = "boundary",
     in_or_out: Literal["in"] | Literal["out"] | Literal["both"] = "both",
     distance_unit: Literal["pixel"] | Literal["georeferenced"] = "georeferenced",
diff --git a/geoutils/raster/sampling.py b/geoutils/raster/sampling.py
index 62cfcaa30..2db9942d6 100644
--- a/geoutils/raster/sampling.py
+++ b/geoutils/raster/sampling.py
@@ -11,7 +11,7 @@ def subsample_array(
     array: np.ndarray | np.ma.masked_array,
     subsample: float | int,
     return_indices: bool = False,
-    random_state: None | np.random.RandomState | np.random.Generator | int = None,
+    random_state: np.random.RandomState | np.random.Generator | int = None,
 ) -> np.ndarray:
     """
     Randomly subsample a 1D or 2D array by a subsampling factor, taking only non NaN/masked values.
diff --git a/geoutils/raster/satimg.py b/geoutils/raster/satimg.py
index 051da34f3..301d7766f 100644
--- a/geoutils/raster/satimg.py
+++ b/geoutils/raster/satimg.py
@@ -119,7 +119,7 @@ def parse_metadata_from_fn(fname: str) -> list[Any]:
     return list(attrs)
 
 
-def parse_tile_attr_from_name(tile_name: str, product: str | None = None) -> tuple[float, float, tuple[int, int], int]:
+def parse_tile_attr_from_name(tile_name: str, product: str = None) -> tuple[float, float, tuple[int, int], int]:
     """
     Convert tile naming to metadata coordinates based on sensor and product
     by default the SRTMGL1 1x1° tile naming convention to lat, lon (originally SRTMGL1)
@@ -256,18 +256,18 @@ class SatelliteImage(Raster):  # type: ignore
     def __init__(
         self,
         filename_or_dataset: str | RasterType | rio.io.DatasetReader | rio.io.MemoryFile,
-        attrs: list[str] | None = None,
+        attrs: list[str] = None,
         load_data: bool = True,
-        indexes: int | list[int] | None = None,
+        indexes: int | list[int] = None,
         read_from_fn: bool = True,
-        datetime: dt.datetime | None = None,
-        tile_name: str | None = None,
-        satellite: str | None = None,
-        sensor: str | None = None,
-        product: str | None = None,
-        version: str | None = None,
+        datetime: dt.datetime = None,
+        tile_name: str = None,
+        satellite: str = None,
+        sensor: str = None,
+        product: str = None,
+        version: str = None,
         read_from_meta: bool = True,
-        fn_meta: str | None = None,
+        fn_meta: str = None,
         silent: bool = True,
     ) -> None:
 
@@ -438,7 +438,7 @@ def __parse_metadata_from_file(self, fn_meta: str | None) -> None:
 
         return None
 
-    def copy(self, new_array: np.ndarray | None = None) -> SatelliteImage:
+    def copy(self, new_array: np.ndarray = None) -> SatelliteImage:
         new_satimg = super().copy(new_array=new_array)  # type: ignore
         # all objects here are immutable so no need for a copy method (string and datetime)
         # satimg_attrs = ['satellite', 'sensor', 'product', 'version', 'tile_name', 'datetime'] #taken outside of class
diff --git a/geoutils/vector.py b/geoutils/vector.py
index ac80e6ca7..0b1faf9af 100644
--- a/geoutils/vector.py
+++ b/geoutils/vector.py
@@ -11,7 +11,9 @@
 from typing import Any, Literal, TypeVar, overload
 
 import fiona
+import pandas as pd
 import geopandas as gpd
+from geopandas.testing import assert_geodataframe_equal
 import matplotlib
 import matplotlib.pyplot as plt
 import numpy as np
@@ -25,6 +27,7 @@
 from shapely.geometry.polygon import Polygon
 
 import geoutils as gu
+from geoutils.misc import copy_doc
 from geoutils.projtools import _get_bounds_projected, bounds2poly
 
 # This is a generic Vector-type (if subclasses are made, this will change appropriately)
@@ -67,8 +70,6 @@ def __init__(self, filename_or_dataset: str | pathlib.Path | gpd.GeoDataFrame):
         else:
             raise TypeError("Filename argument should be a string, Path or geopandas.GeoDataFrame.")
 
-        self._crs = self.ds.crs
-
     def __repr__(self) -> str:
         """Convert vector to string representation."""
 
@@ -116,12 +117,13 @@ def __str__(self) -> str:
 
         return str(self.ds.__str__())
 
-    def __getitem__(self, value: gu.Raster | Vector | list[float] | tuple[float, ...]) -> Vector:
-        """
-        Index or subset the vector.
-        """
 
-        return self.crop(crop_geom=value, clip=False, inplace=False)
+    def __setattr__(self, attr, val):
+        # have to special case geometry b/c pandas tries to use as column...
+        if attr == "geometry":
+            object.__setattr__(self, attr, val)
+        else:
+            super().__setattr__(attr, val)
 
     def info(self) -> str:
         """
@@ -142,14 +144,14 @@ def info(self) -> str:
 
     def show(
         self,
-        ref_crs: gu.Raster | rio.io.DatasetReader | VectorType | gpd.GeoDataFrame | str | CRS | int | None = None,
-        cmap: matplotlib.colors.Colormap | str | None = None,
-        vmin: float | int | None = None,
-        vmax: float | int | None = None,
-        alpha: float | int | None = None,
-        cbar_title: str | None = None,
+        ref_crs: gu.Raster | rio.io.DatasetReader | VectorType | gpd.GeoDataFrame | str | CRS | int = None,
+        cmap: matplotlib.colors.Colormap | str = None,
+        vmin: float | int = None,
+        vmax: float | int = None,
+        alpha: float | int = None,
+        cbar_title: str = None,
         add_cbar: bool = False,
-        ax: matplotlib.axes.Axes | None | Literal["new"] = None,
+        ax: matplotlib.axes.Axes | Literal["new"] = None,
         return_axes: bool = False,
         **kwargs: Any,
     ) -> None | tuple[matplotlib.axes.Axes, matplotlib.colors.Colormap]:
@@ -250,16 +252,407 @@ def show(
         else:
             return None
 
+    def save(
+        self,
+        filename: str | pathlib.Path ,
+        driver: str = None,
+        schema: dict = None,
+        index: bool = None,
+        **kwargs: Any
+    ) -> None:
+        """
+        Write the vector to file.
+
+        This function is a simple wrapper of :func:`geopandas.GeoDataFrame.to_file`. See there for details.
+
+        :param filename: Filename to write the file to.
+        :param driver: Driver to write file with.
+        :param schema: Dictionary passed to Fiona to better control how the file is written.
+        :param index: Whether to write the index or not.
+
+        :returns: None.
+        """
+
+        self.ds.to_file(filename=filename, driver=driver, schema=schema, index=index, **kwargs)
+
+    ########################################################################################################################
+    # Overriden and wrapped methods from GeoPandas and Pandas API to logically cast the output for minimalistic manipulation
+    ########################################################################################################################
+    def _override_gdf_output(self,
+                             other: gpd.GeoDataFrame | gpd.GeoSeries | shapely.Geometry | pd.Series | Any) -> Vector | pd.Series:
+        """Parse outputs of GeoPandas functions to facilitate object manipulation."""
+
+        # Raise error if output is not treated separately, should appear in tests
+        if not isinstance(other, (gpd.GeoDataFrame, gpd.GeoDataFrame, pd.Series, shapely.Geometry)):
+            raise ValueError("Not implemented. This error should only be raised in tests.")
+
+        # If a GeoDataFrame is the output, return it
+        if isinstance(other, gpd.GeoDataFrame):
+            return Vector(other)
+        # If a GeoSeries is the output, re-encapsulate in a GeoDataFrame and return it
+        elif isinstance(other, gpd.GeoSeries):
+            return Vector(gpd.GeoDataFrame(geometry=other))
+        # If a Shapely Geometry is the output, re-encapsulate in a GeoDataFrame and return it
+        elif isinstance(other, shapely.Geometry):
+            return Vector(gpd.GeoDataFrame({"geometry": [other]}, crs=self.crs))
+        # If a DataFrame is the output, append it to that of the GeoDataFrame
+        elif isinstance(other, pd.Series):
+            return other
+
+    # -----------------------------------------------
+    # GeoPandasBase - Attributes that return a Series
+    # -----------------------------------------------
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @property
+    def area(self) -> pd.Series:
+        return self._override_gdf_output(self.ds.area)
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @property
+    def length(self) -> pd.Series:
+        return self._override_gdf_output(self.ds.length)
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @property
+    def interiors(self) -> pd.Series:
+        return self._override_gdf_output(self.ds.interiors)
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @property
+    def geom_type(self) -> pd.Series:
+        return self._override_gdf_output(self.ds.geom_type)
+
+    # Exception ! bounds is renamed geom_bounds to make Raster and Vector "bounds" the same "total_bounds"
+    @property
+    def geom_bounds(self):
+        """Returns or appends to ``Vector`` a ``Series`` with the bounds of each geometry feature."""
+        return self.ds.bounds
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @property
+    def is_empty(self) -> pd.Series:
+        return self._override_gdf_output(self.ds.is_empty)
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @property
+    def is_ring(self) -> pd.Series:
+        return self._override_gdf_output(self.ds.is_ring)
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @property
+    def is_simple(self) -> pd.Series:
+        return self._override_gdf_output(self.ds.is_simple)
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @property
+    def has_z(self) -> bool:
+        return self.ds.has_z
+
+    # --------------------------------------------------
+    # GeoPandasBase - Attributes that return a GeoSeries
+    # --------------------------------------------------
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    @property
+    def boundary(self) -> Vector:
+
+        return self._override_gdf_output(self.ds.boundary)
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    @property
+    def unary_union(self) -> Vector:
+
+        return self._override_gdf_output(self.ds.unary_union)
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    @property
+    def centroid(self) -> Vector:
+
+        return self._override_gdf_output(self.ds.centroid)
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    @property
+    def convex_hull(self) -> Vector:
+
+        return self._override_gdf_output(self.ds.centroid)
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    @property
+    def envelope(self) -> Vector:
+
+        return self._override_gdf_output(self.ds.envelope)
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    @property
+    def exterior(self) -> Vector:
+
+        return self._override_gdf_output(self.ds.exterior)
+
+    # ---------------------------------------------------------------------------------
+    # GeoPandasBase - Attributes that return a specific value (not Series or GeoSeries)
+    # ---------------------------------------------------------------------------------
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    @property
+    def has_sindex(self) -> bool:
+        return self.ds.has_sindex
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    @property
+    def sindex(self) -> bool:
+        return self.ds.sindex
+
+    @property
+    def total_bounds(self) -> rio.coords.BoundingBox:
+        """Total bounds of the vector."""
+        return self.ds.total_bounds
+
+    # Exception ! Vector.bounds corresponds to the total_bounds
     @property
     def bounds(self) -> rio.coords.BoundingBox:
-        """Bounding box of the vector."""
+        """Total bounding box of the vector."""
         return rio.coords.BoundingBox(*self.ds.total_bounds)
 
+    # --------------------------------------------
+    # GeoPandasBase - Methods that return a Series
+    # --------------------------------------------
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def contains(self, other: gu.Vector, align: bool = True) -> Vector:
+
+        return self._override_gdf_output(self.ds.contains(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def geom_equals(self, other: gu.Vector, align: bool = True) -> Vector:
+
+        return self._override_gdf_output(self.ds.geom_equals(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def geom_almost_equals(self, other: gu.Vector, decimal: int = 6, align: bool = True) -> Vector:
+
+        return self._override_gdf_output(self.ds.geom_almost_equals(other=other.ds, decimal=decimal, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def geom_equals_exact(self, other: gu.Vector, tolerance: float, align: bool=True,) -> Vector:
+
+        return self._override_gdf_output(self.ds.geom_equals_exact(other=other.ds, tolerance=tolerance, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def crosses(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.crosses(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def disjoint(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.disjoint(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def intersects(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.intersects(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def overlaps(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.overlaps(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def touches(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.touches(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def within(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.within(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def covers(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.covers(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def covered_by(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.covered_by(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def distance(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.distance(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def relate(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.relate(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    def project(self, other: gu.Vector, normalized: bool = False, align: bool = True) -> Vector:
+
+        return self._override_gdf_output(self.ds.project(other=other.ds, normalized=normalized, align=align))
+
+    # -----------------------------------------------
+    # GeoPandasBase - Methods that return a GeoSeries
+    # -----------------------------------------------
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def representative_point(self) -> Vector:
+
+        return self._override_gdf_output(self.ds.representative_point())
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def normalize(self) -> Vector:
+
+        return self._override_gdf_output(self.ds.normalize())
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def make_valid(self) -> Vector:
+
+        return self._override_gdf_output(self.ds.make_valid())
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def difference(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.difference(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def symmetric_difference(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.symmetric_difference(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def union(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.union(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def intersection(self, other: gu.Vector, align: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.intersection(other=other.ds, align=align))
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def clip_by_rect(self, xmin: float, ymin: float, xmax: float, ymax: float) -> Vector:
+
+        return self._override_gdf_output(self.ds.clip_by_rect(xmin=xmin, ymin=ymin, xmax=xmax, ymax=ymax))
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def buffer(self, distance: float, resolution: int=16, **kwargs) -> Vector:
+
+        return self._override_gdf_output(self.ds.buffer(distance=distance, resolution=resolution, **kwargs))
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def simplify(self, *args: Any, **kwargs: Any) -> Vector:
+
+        return self._override_gdf_output(self.ds.simplify(*args, **kwargs))
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def affine_transform(self, matrix: tuple[float, ...]) -> Vector:
+
+        return self._override_gdf_output(self.ds.affine_transform(matrix=matrix))
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def translate(self, xoff: float = 0.0, yoff: float = 0.0, zoff: float = 0.0) -> Vector:
+
+        return self._override_gdf_output(self.ds.translate(xoff=xoff, yoff=yoff, zoff=zoff))
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def rotate(self, angle: float, origin: str = "center", use_radians: bool = False) -> Vector:
+
+        return self._override_gdf_output(self.ds.rotate(angle=angle, origin=origin, use_radians=use_radians))
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def scale(self, xfact: float = 1.0, yfact: float = 1.0, zfact: float = 1.0, origin: str = "center") -> Vector:
+
+        return self._override_gdf_output(self.ds.scale(xfact=xfact, yfact=yfact, zfact=zfact, origin=origin))
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def skew(self, xs: float=0.0, ys: float=0.0, origin: str = "center", use_radians: bool =False) -> Vector:
+
+        return self._override_gdf_output(self.ds.skew(xs=xs, ys=ys, origin=origin, use_radians=use_radians))
+
+    @copy_doc(gpd.GeoSeries, "Vector")
+    def interpolate(self, distance: float, normalized: bool=False) -> Vector:
+
+        return self._override_gdf_output(self.ds.interpolate(distance=distance, normalized=normalized))
+
+
+    # ----------------------------------------------
+    # GeoDataFrame - Methods that return a GeoSeries
+    # ----------------------------------------------
+
+    def __getitem__(self, key: gu.Raster | Vector | list[float] | tuple[float, ...] | Any) -> Vector:
+        """
+        Index the geodataframe or crop the vector.
+
+        If a raster, vector or tuple is passed, crops to its bounds.
+        Otherwise, indexes the geodataframe.
+        """
+
+        if isinstance(key, (gu.Raster, Vector)):
+            return self.crop(crop_geom=key, clip=False, inplace=False)
+        else:
+            return self._override_gdf_output(self.ds.__getitem__(key))
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def __setitem__(self, key: Any, value: Any) -> None:
+
+        self.ds.__setitem__(key, value)
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def dissolve(self, by: Any=None, aggfunc: Any = "first", as_index: bool=True, level: Any=None, sort: bool=True, observed: bool=False, dropna: bool=True) -> Vector:
+
+        return self._override_gdf_output(self.ds.dissolve(by=by, aggfunc=aggfunc, as_index=as_index, level=level, sort=sort, observed=observed, dropna=dropna))
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def explode(self, column: str = None, ignore_index: bool = False, index_parts: bool = None, **kwargs: Any) -> Vector:
+
+        return self._override_gdf_output(self.ds.explode(column=column, ignore_index=ignore_index, index_parts=index_parts, **kwargs))
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def sjoin(self, df: Vector | gpd.GeoDataFrame, *args: Any, **kwargs: Any) -> Vector:
+
+        # Ensure input is a geodataframe
+        if isinstance(df, gu.Vector):
+            gdf = df.ds
+        else:
+            gdf = df
+
+        return self._override_gdf_output(self.ds.sjoin(df=gdf, *args, **kwargs))
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def sjoin_nearest(self, right: Vector | gpd.GeoDataFrame, how: str = "inner", max_distance: float = None, lsuffix: str = "left", rsuffix: str = "right",
+                      distance_col: str = None) -> Vector:
+
+        # Ensure input is a geodataframe
+        if isinstance(right, gu.Vector):
+            gdf = right.ds
+        else:
+            gdf = right
+
+        return self._override_gdf_output(self.ds.sjoin_nearest(right=gdf, how=how, max_distance=max_distance, lsuffix=lsuffix, rsuffix=rsuffix,
+                                                               distance_col=distance_col))
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def overlay(self, right: Vector | gpd.GeoDataFrame, how: str = "intersection", keep_geom_type: bool = None, make_valid: bool = True) -> Vector:
+
+        # Ensure input is a geodataframe
+        if isinstance(right, gu.Vector):
+            gdf = right.ds
+        else:
+            gdf = right
+
+        return self._override_gdf_output(self.ds.overlay(right=gdf, how=how, keep_geom_type=keep_geom_type, make_valid=make_valid))
+
+    # --------------------------------
+    # End of GeoPandas functionalities
+    # --------------------------------
+
     @property
     def crs(self) -> rio.crs.CRS:
         """Coordinate reference system of the vector."""
-        self._crs = self.ds.crs
-        return self._crs
+        return self.ds.crs
 
     @property
     def ds(self) -> gpd.GeoDataFrame:
@@ -277,11 +670,26 @@ def ds(self, new_ds: gpd.GeoDataFrame | gpd.GeoSeries) -> None:
         else:
             raise ValueError("The dataset of a vector must be set with a GeoSeries or a GeoDataFrame.")
 
+    def vector_equal(self, other: gu.Vector) -> bool:
+        """Check if two vectors are equal."""
+
+        return assert_geodataframe_equal(self.ds, other.ds)
+
     @property
     def name(self) -> str | None:
         """Name on disk, if it exists."""
         return self._name
 
+    @property
+    def geometry(self) -> gpd.GeoSeries:
+
+        return self.ds.geometry
+
+    @property
+    def index(self):
+
+        return self.ds.index
+
     def copy(self: VectorType) -> VectorType:
         """Return a copy of the vector."""
         # Utilise the copy method of GeoPandas
@@ -364,8 +772,8 @@ def crop(
 
     def reproject(
         self: Vector,
-        dst_ref: gu.Raster | rio.io.DatasetReader | VectorType | gpd.GeoDataFrame | str | None = None,
-        dst_crs: CRS | str | int | None = None,
+        dst_ref: gu.Raster | rio.io.DatasetReader | VectorType | gpd.GeoDataFrame | str = None,
+        dst_crs: CRS | str | int = None,
     ) -> Vector:
         """
         Reproject vector to a specified coordinate reference system.
@@ -421,11 +829,11 @@ def reproject(
     @overload
     def create_mask(
         self,
-        rst: str | gu.Raster | None = None,
-        crs: CRS | None = None,
-        xres: float | None = None,
-        yres: float | None = None,
-        bounds: tuple[float, float, float, float] | None = None,
+        rst: str | gu.Raster = None,
+        crs: CRS = None,
+        xres: float = None,
+        yres: float = None,
+        bounds: tuple[float, float, float, float] = None,
         buffer: int | float | np.number = 0,
         *,
         as_array: Literal[False] = False,
@@ -435,11 +843,11 @@ def create_mask(
     @overload
     def create_mask(
         self,
-        rst: str | gu.Raster | None = None,
-        crs: CRS | None = None,
-        xres: float | None = None,
-        yres: float | None = None,
-        bounds: tuple[float, float, float, float] | None = None,
+        rst: str | gu.Raster = None,
+        crs: CRS = None,
+        xres: float = None,
+        yres: float = None,
+        bounds: tuple[float, float, float, float] = None,
         buffer: int | float | np.number = 0,
         *,
         as_array: Literal[True],
@@ -448,11 +856,11 @@ def create_mask(
 
     def create_mask(
         self,
-        rst: gu.Raster | None = None,
-        crs: CRS | None = None,
-        xres: float | None = None,
-        yres: float | None = None,
-        bounds: tuple[float, float, float, float] | None = None,
+        rst: gu.Raster = None,
+        crs: CRS = None,
+        xres: float = None,
+        yres: float = None,
+        bounds: tuple[float, float, float, float] = None,
         buffer: int | float | np.number = 0,
         as_array: bool = False,
     ) -> gu.Mask | np.ndarray:
@@ -558,12 +966,12 @@ def create_mask(
 
     def rasterize(
         self,
-        rst: gu.Raster | None = None,
-        crs: CRS | int | None = None,
-        xres: float | None = None,
-        yres: float | None = None,
-        bounds: tuple[float, float, float, float] | None = None,
-        in_value: int | float | abc.Iterable[int | float] | None = None,
+        rst: gu.Raster = None,
+        crs: CRS | int = None,
+        xres: float = None,
+        yres: float = None,
+        bounds: tuple[float, float, float, float] = None,
+        in_value: int | float | abc.Iterable[int | float] = None,
         out_value: int | float = 0,
     ) -> gu.Raster | gu.Mask:
         """
@@ -673,7 +1081,7 @@ def rasterize(
 
     @classmethod
     def from_bounds_projected(
-        cls, raster_or_vector: gu.Raster | VectorType, out_crs: CRS | None = None, densify_pts: int = 5000
+        cls, raster_or_vector: gu.Raster | VectorType, out_crs: CRS = None, densify_pts: int = 5000
     ) -> VectorType:
         """Create a vector polygon from projected bounds of a raster or vector.
 
@@ -712,7 +1120,7 @@ def query(self: Vector, expression: str, inplace: bool = False) -> Vector | None
 
     def proximity(
         self,
-        raster: gu.Raster | None = None,
+        raster: gu.Raster = None,
         grid_size: tuple[int, int] = (1000, 1000),
         geometry_type: str = "boundary",
         in_or_out: Literal["in"] | Literal["out"] | Literal["both"] = "both",
diff --git a/tests/test_raster.py b/tests/test_raster.py
index d4018e72b..e54ce6101 100644
--- a/tests/test_raster.py
+++ b/tests/test_raster.py
@@ -3169,7 +3169,7 @@ def from_array(
         cls: type[TestArithmetic],
         data: np.ndarray | np.ma.masked_array,
         rst_ref: gu.RasterType,
-        nodata: int | float | list[int] | list[float] | None = None,
+        nodata: int | float | list[int] | list[float] = None,
     ) -> gu.Raster:
         """
         Generate a Raster from numpy array, with set georeferencing. Used for testing only.
diff --git a/tests/test_vector.py b/tests/test_vector.py
index 2001bb02f..b1e448092 100644
--- a/tests/test_vector.py
+++ b/tests/test_vector.py
@@ -1,18 +1,25 @@
 from __future__ import annotations
 
+import os.path
 import pathlib
 import re
+import inspect
+import tempfile
+from tempfile import NamedTemporaryFile
 
 import geopandas as gpd
+import geopandas.base
 import matplotlib.pyplot as plt
 import numpy as np
 import pytest
-from geopandas.testing import assert_geodataframe_equal
+import shapely
+from geopandas.testing import assert_geodataframe_equal, assert_geoseries_equal
 from scipy.ndimage import binary_erosion
 from shapely.geometry.linestring import LineString
 from shapely.geometry.multilinestring import MultiLineString
 from shapely.geometry.multipolygon import MultiPolygon
 from shapely.geometry.polygon import Polygon
+from pandas.testing import assert_series_equal
 
 import geoutils as gu
 
@@ -69,6 +76,25 @@ def test_query(self) -> None:
 
         assert vector2.ds.shape[0] < self.glacier_outlines.ds.shape[0]
 
+    def test_save(self) -> None:
+        """Test the save wrapper for GeoDataFrame.to_file()."""
+
+        vector = gu.Vector(self.aster_outlines_path)
+
+        # Create a temporary file in a temporary directory
+        temp_dir = tempfile.TemporaryDirectory()
+        temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name, suffix=".gpkg")
+        os.remove(temp_file.name)
+
+        # Save and check the file exists
+        vector.save(temp_file.name, overwrite=True)
+        assert os.path.exists(temp_file.name)
+
+        # Open and check the object is the same
+        vector_save = gu.Vector(temp_file.name)
+        assert_geodataframe_equal(vector_save, vector)
+
+
     def test_bounds(self) -> None:
 
         bounds = self.glacier_outlines.bounds
@@ -529,3 +555,181 @@ def test_buffer_without_overlap(self, monkeypatch) -> None:  # type: ignore
         # Check that plotting runs without errors and close it
         monkeypatch.setattr(plt, "show", lambda: None)
         two_squares.buffer_without_overlap(buffer_size, plot=True)
+
+
+class TestGeoPandasMethods:
+
+    # Use two synthetic vectors
+    poly = Polygon([(10, 10), (11, 10), (11, 11), (10, 11)])
+    gdf1 = gpd.GeoDataFrame({"geometry": [poly]}, crs="EPSG:4326")
+    synthvec1 = gu.Vector(gdf1)
+
+    # Create a synthetic LineString geometry
+    lines = LineString([(10, 10), (10.5, 10.5), (11, 11)])
+    gdf2 = gpd.GeoDataFrame({"geometry": [lines]}, crs="EPSG:4326")
+    synthvec2 = gu.Vector(gdf2)
+
+    # Use two real-life vectors
+    realvec1 = gu.Vector(gu.examples.get_path("exploradores_rgi_outlines"))
+    realvec2 = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+
+    # Properties and methods derived from Shapely or GeoPandas
+    # List of properties and methods with non-geometric output that are implemented in GeoUtils
+    nongeo_properties = ["area", "length", "interiors", "geom_type", "is_empty", "is_ring", "is_simple"]
+    nongeo_methods = ["contains", "geom_equals", "geom_almost_equals", "crosses", "disjoint", "intersects",
+                            "overlaps", "touches", "within", "covers", "covered_by", "distance", "relate", "project"]
+
+    # List of properties and methods with geometric output that are implemented in GeoUtils
+    geo_properties = ["boundary", "unary_union", "centroid", "convex_hull", "envelope", "exterior"]
+    geo_methods = ["representative_point", "normalize", "make_valid", "difference", "symmetric_difference", "union",
+                             "intersection", "clip_by_rect", "buffer", "simplify", "affine_transform", "translate", "rotate",
+                             "scale", "skew", "interpolate", "dissolve", "explode", "sjoin", "sjoin_nearest", "overlay"]
+
+    # List of other properties and methods
+    other = ["has_sindex", "sindex"]
+    all_declared = nongeo_methods + nongeo_properties + geo_methods + geo_properties + other
+
+    # Get all GeoPandasBase public methods with some exceptions
+    geobase_methods = gpd.base.GeoPandasBase.__dict__.copy()
+    # exceptions_geobase = ["plot", "explore", "equals"]
+    # geobase_methods = {key: geobase_methods[key] for key in geobase_methods if key[0] != "_" and key not in exceptions_geobase}
+
+    # Get all GeoDataFrame public methods with some exceptions
+    gdf_methods = gpd.GeoDataFrame.__dict__.copy()
+    # exceptions_gdf = ["total_bounds"]
+    # gdf_methods = {key: gdf_methods[key] for key in gdf_methods if key[0] != "_" and key not in exceptions_gdf}
+
+    def test_overriden_funcs_exist(self) -> None:
+        """Check that all methods listed above exist in Vector."""
+
+        # Check that all methods declared in the class above exist in Vector
+        vector_methods = gu.Vector.__dict__
+
+        assert all(method in vector_methods.keys() for method in self.all_declared)
+
+    def test_geopandas_coverage(self) -> None:
+        """Check that all existing methods of GeoPandas are overriden, with a couple exceptions."""
+
+        # Merge the two
+        all_methods = self.geobase_methods.copy()
+        all_methods.update(self.gdf_methods)
+
+        # Check that all methods declared in the class above are covered in Vector
+        list_missing = [method for method in all_methods.keys() if method not in self.all_declared]
+        try:
+            assert len(list_missing) == 0
+        except AssertionError:
+            print('Missing methods from GeoPandas:')
+            print(list_missing)
+
+    @pytest.mark.parametrize("method", nongeo_methods + geo_methods)  # type: ignore
+    def test_overriden_funcs_args(self, method: str) -> None:
+        """Check that all methods overriden have the same arguments as in GeoPandas."""
+
+        # Get GeoPandas class where the methods live
+        if method in self.geobase_methods.keys():
+            upstream_class = gpd.base.GeoPandasBase
+        elif method in self.gdf_methods.keys():
+            upstream_class = gpd.GeoDataFrame
+        else:
+            raise ValueError("Method did not belong to GeoDataFrame or GeoPandasBase class.")
+
+        # Get a full argument inspection object for each class
+        argspec_upstream = inspect.getfullargspec(getattr(upstream_class, method))
+        argspec_geoutils = inspect.getfullargspec(getattr(gu.Vector, method))
+
+        # Check that all positional arguments are the same
+        assert argspec_upstream.args == argspec_geoutils.args
+        # Check that the *args and **kwargs argument are declared consistently
+        assert argspec_upstream.varargs == argspec_geoutils.varargs
+        assert argspec_upstream.varkw == argspec_geoutils.varkw
+        # Check that default argument values are the same
+        assert argspec_upstream.defaults == argspec_geoutils.defaults
+
+    @pytest.mark.parametrize("vector", [synthvec1, synthvec2, realvec1, realvec2]) # type: ignore
+    @pytest.mark.parametrize("method", nongeo_properties) # type: ignore
+    def test_nongeo_properties(self, vector: gu.Vector, method: str) -> None:
+        """Check non-geometric properties are consistent with GeoPandas."""
+
+        # Get method for each class
+        output_geoutils = getattr(vector, method)
+        output_geopandas = getattr(vector.ds, method)
+
+        # Assert equality
+        assert_series_equal(output_geoutils, output_geopandas)
+
+    @pytest.mark.parametrize("vector1", [synthvec1, realvec1]) # type: ignore
+    @pytest.mark.parametrize("vector2", [synthvec2, realvec2]) # type: ignore
+    @pytest.mark.parametrize("method", nongeo_methods) # type: ignore
+    def test_nongeo_methods(self, vector1: gu.Vector, vector2: gu.Vector, method: str) -> None:
+        """
+        Check non-geometric methods are consistent with GeoPandas.
+        All these methods require two inputs ("other", "df", or "right" argument).
+        """
+
+        # Get method for each class
+        output_geoutils = getattr(vector1, method)(vector2)
+        output_geopandas = getattr(vector1.ds, method)(vector2.ds)
+
+        # Assert equality
+        assert_series_equal(output_geoutils, output_geopandas)
+
+    @pytest.mark.parametrize("vector", [synthvec1, synthvec2, realvec1, realvec2])  # type: ignore
+    @pytest.mark.parametrize("method", geo_properties)  # type: ignore
+    def test_geo_properties(self, vector: gu.Vector, method: str) -> None:
+        """Check geometric properties are consistent with GeoPandas."""
+
+        # Get method for each class
+        output_geoutils = getattr(vector, method)
+        output_geopandas = getattr(vector.ds, method)
+
+        # Assert output types
+        assert isinstance(output_geoutils, gu.Vector)
+        assert isinstance(output_geopandas, (gpd.GeoSeries, gpd.GeoDataFrame, shapely.Geometry))
+
+        # Separate cases depending on GeoPandas' output
+        if isinstance(output_geopandas, gpd.GeoSeries):
+            # Assert geoseries equality
+            assert_geoseries_equal(output_geoutils.ds.geometry, output_geopandas)
+        elif isinstance(output_geopandas, shapely.Geometry):
+            assert_geodataframe_equal(output_geoutils.ds, gpd.GeoDataFrame({"geometry": [output_geopandas]}, crs=vector.crs))
+        else:
+            assert_geodataframe_equal(output_geoutils.ds, output_geopandas)
+
+
+    specific_method_args = {"buffer": {"distance": 1}, "clip_by_rect": {"xmin": 10.5, "ymin": 10.5, "xmax": 11, "ymax": 11},
+                     "affine_transform": {"matrix": [0, 0, 0, 0, 1, 1]}, "translate": {"xoff": 1, "yoff": 1, "zoff": 0},
+                     "rotate": {"angle": 90}, "scale": {"xfact": 1.1, "yfact": 1.1, "zfact": 1.1, "origin": "center"},
+                     "skew": {"xs": 1.1, "ys": 1.1}, "interpolate": {"distance": 1}, "simplify": {"tolerance": 1}}
+
+    @pytest.mark.parametrize("vector1", [synthvec1, realvec1]) # type: ignore
+    @pytest.mark.parametrize("vector2", [synthvec2, realvec2]) # type: ignore
+    @pytest.mark.parametrize("method", geo_methods) # type: ignore
+    def test_geo_methods(self, vector1: gu.Vector, vector2: gu.Vector, method: str) -> None:
+        """Check geometric properties are consistent with GeoPandas."""
+
+        # Methods that require two inputs
+        if method in ["difference", "symmetric_difference", "union", "intersection", "sjoin", "sjoin_nearest", "overlay"]:
+            output_geoutils = getattr(vector1, method)(vector2)
+            output_geopandas = getattr(vector1.ds, method)(vector2.ds)
+        # Methods that require zero input
+        elif method in ["representative_point", "normalize", "make_valid", "dissolve", "explode"]:
+            output_geoutils = getattr(vector1, method)()
+            output_geopandas = getattr(vector1.ds, method)()
+        elif method in self.specific_method_args.keys():
+            output_geoutils = getattr(vector1, method)(**self.specific_method_args[method])
+            output_geopandas = getattr(vector1.ds, method)(**self.specific_method_args[method])
+        else:
+            raise ValueError("The method '{}' is not covered by this test.".format(method))
+
+        # Assert output types
+        assert isinstance(output_geoutils, gu.Vector)
+        assert isinstance(output_geopandas, (gpd.GeoSeries, gpd.GeoDataFrame))
+
+        # Separate cases depending on GeoPandas' output
+        if isinstance(output_geopandas, gpd.GeoSeries):
+            # Assert geoseries equality
+            assert_geoseries_equal(output_geoutils.ds.geometry, output_geopandas)
+        else:
+            # Or assert geodataframe equality
+            assert_geodataframe_equal(output_geoutils.ds, output_geopandas)
\ No newline at end of file

From bb94f02281f578d6008b49bbfea1274cd0093c8a Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 20 Mar 2023 22:11:48 -0700
Subject: [PATCH 125/184] Finalize tests for GeoPandas interface

---
 geoutils/vector.py   | 31 +++++++++++++++++--------------
 tests/test_vector.py | 38 +++++++++++++++++++++++++++++---------
 2 files changed, 46 insertions(+), 23 deletions(-)

diff --git a/geoutils/vector.py b/geoutils/vector.py
index 0b1faf9af..27dece8d9 100644
--- a/geoutils/vector.py
+++ b/geoutils/vector.py
@@ -375,7 +375,7 @@ def centroid(self) -> Vector:
     @property
     def convex_hull(self) -> Vector:
 
-        return self._override_gdf_output(self.ds.centroid)
+        return self._override_gdf_output(self.ds.convex_hull)
 
     @copy_doc(gpd.GeoSeries, "Vector")
     @property
@@ -483,15 +483,17 @@ def distance(self, other: gu.Vector, align: bool=True) -> Vector:
 
         return self._override_gdf_output(self.ds.distance(other=other.ds, align=align))
 
-    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def relate(self, other: gu.Vector, align: bool=True) -> Vector:
-
-        return self._override_gdf_output(self.ds.relate(other=other.ds, align=align))
-
-    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def project(self, other: gu.Vector, normalized: bool = False, align: bool = True) -> Vector:
-
-        return self._override_gdf_output(self.ds.project(other=other.ds, normalized=normalized, align=align))
+    # Method that exists in GeoPandasBase but not exposed in GeoSeries yet
+    # @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    # def relate(self, other: gu.Vector, align: bool=True) -> Vector:
+    #
+    #     return self._override_gdf_output(self.ds.relate(other=other.ds, align=align))
+    #
+    # Method that exists in GeoPandasBase but not exposed in GeoSeries yet
+    # @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    # def project(self, other: gu.Vector, normalized: bool = False, align: bool = True) -> Vector:
+    #
+    #     return self._override_gdf_output(self.ds.project(other=other.ds.geometry, normalized=normalized, align=align))
 
     # -----------------------------------------------
     # GeoPandasBase - Methods that return a GeoSeries
@@ -572,10 +574,11 @@ def skew(self, xs: float=0.0, ys: float=0.0, origin: str = "center", use_radians
 
         return self._override_gdf_output(self.ds.skew(xs=xs, ys=ys, origin=origin, use_radians=use_radians))
 
-    @copy_doc(gpd.GeoSeries, "Vector")
-    def interpolate(self, distance: float, normalized: bool=False) -> Vector:
-
-        return self._override_gdf_output(self.ds.interpolate(distance=distance, normalized=normalized))
+    # Method that exists in GeoPandasBase but not exposed in GeoSeries yet
+    # @copy_doc(gpd.GeoSeries, "Vector")
+    # def interpolate(self, distance: float, normalized: bool=False) -> Vector:
+    #
+    #     return self._override_gdf_output(self.ds.interpolate(distance=distance, normalized=normalized))
 
 
     # ----------------------------------------------
diff --git a/tests/test_vector.py b/tests/test_vector.py
index b1e448092..91a49ed6b 100644
--- a/tests/test_vector.py
+++ b/tests/test_vector.py
@@ -6,6 +6,7 @@
 import inspect
 import tempfile
 from tempfile import NamedTemporaryFile
+import warnings
 
 import geopandas as gpd
 import geopandas.base
@@ -92,7 +93,7 @@ def test_save(self) -> None:
 
         # Open and check the object is the same
         vector_save = gu.Vector(temp_file.name)
-        assert_geodataframe_equal(vector_save, vector)
+        vector_save.vector_equal(vector)
 
 
     def test_bounds(self) -> None:
@@ -577,13 +578,13 @@ class TestGeoPandasMethods:
     # List of properties and methods with non-geometric output that are implemented in GeoUtils
     nongeo_properties = ["area", "length", "interiors", "geom_type", "is_empty", "is_ring", "is_simple"]
     nongeo_methods = ["contains", "geom_equals", "geom_almost_equals", "crosses", "disjoint", "intersects",
-                            "overlaps", "touches", "within", "covers", "covered_by", "distance", "relate", "project"]
+                            "overlaps", "touches", "within", "covers", "covered_by", "distance"]
 
     # List of properties and methods with geometric output that are implemented in GeoUtils
     geo_properties = ["boundary", "unary_union", "centroid", "convex_hull", "envelope", "exterior"]
     geo_methods = ["representative_point", "normalize", "make_valid", "difference", "symmetric_difference", "union",
                              "intersection", "clip_by_rect", "buffer", "simplify", "affine_transform", "translate", "rotate",
-                             "scale", "skew", "interpolate", "dissolve", "explode", "sjoin", "sjoin_nearest", "overlay"]
+                             "scale", "skew", "dissolve", "explode", "sjoin", "sjoin_nearest", "overlay"]
 
     # List of other properties and methods
     other = ["has_sindex", "sindex"]
@@ -651,6 +652,10 @@ def test_overriden_funcs_args(self, method: str) -> None:
     def test_nongeo_properties(self, vector: gu.Vector, method: str) -> None:
         """Check non-geometric properties are consistent with GeoPandas."""
 
+        # Remove warnings about operations in a non-projected system, and future changes
+        warnings.simplefilter("ignore", category=UserWarning)
+        warnings.simplefilter("ignore", category=FutureWarning)
+
         # Get method for each class
         output_geoutils = getattr(vector, method)
         output_geopandas = getattr(vector.ds, method)
@@ -667,6 +672,10 @@ def test_nongeo_methods(self, vector1: gu.Vector, vector2: gu.Vector, method: st
         All these methods require two inputs ("other", "df", or "right" argument).
         """
 
+        # Remove warnings about operations in a non-projected system, and future changes
+        warnings.simplefilter("ignore", category=UserWarning)
+        warnings.simplefilter("ignore", category=FutureWarning)
+
         # Get method for each class
         output_geoutils = getattr(vector1, method)(vector2)
         output_geopandas = getattr(vector1.ds, method)(vector2.ds)
@@ -679,6 +688,10 @@ def test_nongeo_methods(self, vector1: gu.Vector, vector2: gu.Vector, method: st
     def test_geo_properties(self, vector: gu.Vector, method: str) -> None:
         """Check geometric properties are consistent with GeoPandas."""
 
+        # Remove warnings about operations in a non-projected system, and future changes
+        warnings.simplefilter("ignore", category=UserWarning)
+        warnings.simplefilter("ignore", category=FutureWarning)
+
         # Get method for each class
         output_geoutils = getattr(vector, method)
         output_geopandas = getattr(vector.ds, method)
@@ -698,9 +711,9 @@ def test_geo_properties(self, vector: gu.Vector, method: str) -> None:
 
 
     specific_method_args = {"buffer": {"distance": 1}, "clip_by_rect": {"xmin": 10.5, "ymin": 10.5, "xmax": 11, "ymax": 11},
-                     "affine_transform": {"matrix": [0, 0, 0, 0, 1, 1]}, "translate": {"xoff": 1, "yoff": 1, "zoff": 0},
+                     "affine_transform": {"matrix": [1, 1, 1, 1, 1, 1]}, "translate": {"xoff": 1, "yoff": 1, "zoff": 0},
                      "rotate": {"angle": 90}, "scale": {"xfact": 1.1, "yfact": 1.1, "zfact": 1.1, "origin": "center"},
-                     "skew": {"xs": 1.1, "ys": 1.1}, "interpolate": {"distance": 1}, "simplify": {"tolerance": 1}}
+                     "skew": {"xs": 1.1, "ys": 1.1}, "interpolate": {"distance": 1}, "simplify": {"tolerance": 0.1}}
 
     @pytest.mark.parametrize("vector1", [synthvec1, realvec1]) # type: ignore
     @pytest.mark.parametrize("vector2", [synthvec2, realvec2]) # type: ignore
@@ -708,6 +721,10 @@ def test_geo_properties(self, vector: gu.Vector, method: str) -> None:
     def test_geo_methods(self, vector1: gu.Vector, vector2: gu.Vector, method: str) -> None:
         """Check geometric properties are consistent with GeoPandas."""
 
+        # Remove warnings about operations in a non-projected system, and future changes
+        warnings.simplefilter("ignore", category=UserWarning)
+        warnings.simplefilter("ignore", category=FutureWarning)
+
         # Methods that require two inputs
         if method in ["difference", "symmetric_difference", "union", "intersection", "sjoin", "sjoin_nearest", "overlay"]:
             output_geoutils = getattr(vector1, method)(vector2)
@@ -726,10 +743,13 @@ def test_geo_methods(self, vector1: gu.Vector, vector2: gu.Vector, method: str)
         assert isinstance(output_geoutils, gu.Vector)
         assert isinstance(output_geopandas, (gpd.GeoSeries, gpd.GeoDataFrame))
 
-        # Separate cases depending on GeoPandas' output
-        if isinstance(output_geopandas, gpd.GeoSeries):
-            # Assert geoseries equality
+        # Separate cases depending on GeoPandas' output, and nature of the function
+        # Simplify is a special case that can make geometries unvalid, so adjust test
+        if method == "simplify":
+            assert_geoseries_equal(output_geopandas.make_valid(), output_geoutils.ds.geometry.make_valid())
+        # For geoseries output, check equality of it
+        elif isinstance(output_geopandas, gpd.GeoSeries):
             assert_geoseries_equal(output_geoutils.ds.geometry, output_geopandas)
+        # For geodataframe output, check equality
         else:
-            # Or assert geodataframe equality
             assert_geodataframe_equal(output_geoutils.ds, output_geopandas)
\ No newline at end of file

From f30fafac393221f70e464025eea2735b66baf059 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 20 Mar 2023 23:01:04 -0700
Subject: [PATCH 126/184] Linting

---
 bin/geoviewer.py               |   2 -
 doc/source/api.md              |   6 +-
 doc/source/conf.py             |   1 +
 geoutils/misc.py               |  24 ++-
 geoutils/projtools.py          |   7 +-
 geoutils/raster/multiraster.py |   4 +-
 geoutils/raster/raster.py      | 143 +++++++---------
 geoutils/raster/sampling.py    |   2 +-
 geoutils/raster/satimg.py      |  29 ++--
 geoutils/vector.py             | 290 ++++++++++++++++-----------------
 tests/test_geoviewer.py        |   2 -
 tests/test_misc.py             |   1 -
 tests/test_projtools.py        |   2 -
 tests/test_raster.py           |  23 +--
 tests/test_satimg.py           |   2 -
 tests/test_vector.py           | 123 +++++++++-----
 16 files changed, 320 insertions(+), 341 deletions(-)

diff --git a/bin/geoviewer.py b/bin/geoviewer.py
index f925d7c31..9a7ffc98d 100755
--- a/bin/geoviewer.py
+++ b/bin/geoviewer.py
@@ -18,7 +18,6 @@
 
 
 def getparser() -> argparse.ArgumentParser:
-
     # Set up description
     parser = argparse.ArgumentParser(description="Visualisation tool for any image supported by GDAL.")
 
@@ -120,7 +119,6 @@ def getparser() -> argparse.ArgumentParser:
 
 
 def main(test_args: Sequence[str] = None) -> None:
-
     # Parse arguments
     parser = getparser()
     args = parser.parse_args(test_args)  # type: ignore
diff --git a/doc/source/api.md b/doc/source/api.md
index e74d6c622..3124faea7 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -381,7 +381,7 @@ Otherwise, calling the method from {attr}`Vector.ds<geoutils.Vector.ds>`, they r
 
 #### Non-geometric per-feature attributes and methods
 
-This second category of attributes and methods return a non-geometric output with same length as the number of features. They are thus appended in the 
+This second category of attributes and methods return a non-geometric output with same length as the number of features. They are thus appended in the
 dataframe of the current {class}`~geoutils.Vector` by default, using as column name the name of the operation (e.g., "area", "contains" or "intersects").
 
 Otherwise, calling the method from {attr}`Vector.ds<geoutils.Vector.ds>`, they return a {class}`pandas.Series` as in GeoPandas.
@@ -438,6 +438,6 @@ Otherwise, calling the method from {attr}`Vector.ds<geoutils.Vector.ds>`, they r
 ```
 
 ```{seealso}
-The methods above are described in [GeoPandas GeoSeries's API](https://geopandas.org/en/stable/docs/reference/geoseries.html) and [Shapely object's 
+The methods above are described in [GeoPandas GeoSeries's API](https://geopandas.org/en/stable/docs/reference/geoseries.html) and [Shapely object's
 documentation](https://shapely.readthedocs.io/en/stable/properties.html).
-```
\ No newline at end of file
+```
diff --git a/doc/source/conf.py b/doc/source/conf.py
index b580c18f0..c92b33180 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -123,6 +123,7 @@
 #        "special-members": "__init__",
 # }
 
+
 # To ignore warnings due to having myst-nb reading the .ipynb created by sphinx-gallery
 # Should eventually be fixed, see: https://github.com/executablebooks/MyST-NB/issues/363
 def setup(app):
diff --git a/geoutils/misc.py b/geoutils/misc.py
index 34fe7ab28..50453755c 100644
--- a/geoutils/misc.py
+++ b/geoutils/misc.py
@@ -4,8 +4,7 @@
 import copy
 import functools
 import warnings
-from typing import Any, Union, Callable
-from textwrap import dedent
+from typing import Any, Callable
 
 try:
     import yaml  # type: ignore
@@ -20,7 +19,7 @@
 import geoutils
 
 
-def deprecate(removal_version: str = None, details: str = None):  # type: ignore
+def deprecate(removal_version: str | None = None, details: str | None = None):  # type: ignore
     """
     Trigger a DeprecationWarning for the decorated function.
 
@@ -76,7 +75,13 @@ def new_func(*args, **kwargs):  # type: ignore
 
     return deprecator_func
 
-def copy_doc(old_class: object, new_class_name: str, origin_class: object = None, replace_return_series_statement: bool = False) -> Callable:
+
+def copy_doc(
+    old_class: object,
+    new_class_name: str,
+    origin_class: object | None = None,
+    replace_return_series_statement: bool = False,
+) -> Callable:  # type: ignore
     """
     A decorator to copy docstring from a class to another class while replacing the docstring.
     ----------
@@ -84,8 +89,7 @@ def copy_doc(old_class: object, new_class_name: str, origin_class: object = None
         The classes used to reformat docstring template.
     """
 
-    def decorator(decorated: Callable) -> Callable:
-
+    def decorator(decorated: Callable) -> Callable:  # type: ignore
         # Get name of decorated object
         # If object is a property, get name through fget
         try:
@@ -107,7 +111,9 @@ def decorator(decorated: Callable) -> Callable:
         # Replace "Return a Series" statement by "Append a Series to Vector" if it exists
         if replace_return_series_statement:
             if replaced_descript[0:20] == "Returns a ``Series``":
-                replaced_descript = replaced_descript.replace("Returns a ``Series``", "Returns or appends to ``Vector`` a ``Series``")
+                replaced_descript = replaced_descript.replace(
+                    "Returns a ``Series``", "Returns or appends to ``Vector`` a ``Series``"
+                )
             else:
                 replaced_descript += " Can be appended to ``Vector``."
 
@@ -119,7 +125,9 @@ def decorator(decorated: Callable) -> Callable:
         # Get module and old class names
         orig_module_name = orig_class.__module__.split(".")[0]
         old_class_name = orig_class.__name__
-        add_link_to_old_class = "\n\nSee more details at :func:`" + orig_module_name + "." + old_class_name + "." + decorated_name + "`."
+        add_link_to_old_class = (
+            "\n\nSee more details at :func:`" + orig_module_name + "." + old_class_name + "." + decorated_name + "`."
+        )
 
         decorated.__doc__ = replaced_descript + add_link_to_old_class
 
diff --git a/geoutils/projtools.py b/geoutils/projtools.py
index be152ed1a..d45dbbd46 100644
--- a/geoutils/projtools.py
+++ b/geoutils/projtools.py
@@ -65,8 +65,8 @@ def utm_to_epsg(utm: str) -> int:
 
 def bounds2poly(
     boundsGeom: list[float] | rio.io.DatasetReader,
-    in_crs: CRS = None,
-    out_crs: CRS = None,
+    in_crs: CRS | None = None,
+    out_crs: CRS | None = None,
 ) -> Polygon:
     """
     Converts self's bounds into a shapely Polygon. Optionally, returns it into a different CRS.
@@ -108,7 +108,7 @@ def merge_bounds(
     bounds_list: abc.Iterable[
         list[float] | tuple[float] | rio.coords.BoundingBox | rio.io.DatasetReader | gpd.GeoDataFrame
     ],
-    resolution: float = None,
+    resolution: float | None = None,
     merging_algorithm: str = "union",
     return_rio_bbox: bool = False,
 ) -> tuple[float, ...] | rio.coords.BoundingBox:
@@ -287,7 +287,6 @@ def compare_proj(proj1: CRS, proj2: CRS) -> bool:
 def _get_bounds_projected(
     bounds: rio.coords.BoundingBox, in_crs: CRS, out_crs: CRS, densify_pts: int = 5000
 ) -> rio.coords.BoundingBox:
-
     # Calculate new bounds
     left, bottom, right, top = bounds
     new_bounds = rio.warp.transform_bounds(in_crs, out_crs, left, bottom, right, top, densify_pts)
diff --git a/geoutils/raster/multiraster.py b/geoutils/raster/multiraster.py
index 62c8c0bce..385315a6c 100644
--- a/geoutils/raster/multiraster.py
+++ b/geoutils/raster/multiraster.py
@@ -16,7 +16,7 @@
 
 
 def load_multiple_rasters(
-    raster_paths: list[str], crop: bool = True, ref_grid: int = None, **kwargs: Any
+    raster_paths: list[str], crop: bool = True, ref_grid: int | None = None, **kwargs: Any
 ) -> list[RasterType]:
     """
     Function to load multiple rasters at once in a memory efficient way.
@@ -80,7 +80,6 @@ def load_multiple_rasters(
 
     # Optionally, reproject all rasters to the reference grid
     if reproject:
-
         ref_rst = output_rst[ref_grid]
 
         # Set output bounds - intersection if crop is True, otherwise use that of ref_grid
@@ -169,7 +168,6 @@ def stack_rasters(
     data: list[np.ndarray] = []
 
     for raster in tqdm(rasters, disable=not progress):
-
         # Check that data is loaded, otherwise temporarily load it
         if not raster.is_loaded:
             raster.load()
diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index e2ac852ff..369bc4405 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -169,10 +169,10 @@ def _default_nodata(dtype: str | np.dtype | type) -> int:
 
 def _load_rio(
     dataset: rio.io.DatasetReader,
-    indexes: int | tuple[int, ...] = None,
+    indexes: int | tuple[int, ...] | None = None,
     masked: bool = False,
-    transform: Affine = None,
-    shape: tuple[int, int] = None,
+    transform: Affine | None = None,
+    shape: tuple[int, int] | None = None,
     **kwargs: Any,
 ) -> np.ma.masked_array:
     r"""
@@ -248,12 +248,12 @@ def __init__(
         | rio.io.DatasetReader
         | rio.io.MemoryFile
         | dict[str, Any],
-        indexes: int | list[int] = None,
+        indexes: int | list[int] | None = None,
         load_data: bool = False,
         downsample: AnyNumber = 1,
         masked: bool = True,
-        nodata: int | float | tuple[int, ...] | tuple[float, ...] = None,
-        attrs: list[str] = None,
+        nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
+        attrs: list[str] | None = None,
     ) -> None:
         """
         Instantiate a raster from a filename or rasterio dataset.
@@ -275,22 +275,22 @@ def __init__(
             ['bounds', 'count', 'crs', 'driver', 'dtypes', 'height', 'indexes',
             'name', 'nodata', 'res', 'shape', 'transform', 'width'] - if no attrs are specified, these will be added.
         """
-        self._driver: str = None
-        self._name: str = None
-        self.filename: str = None
+        self._driver: str | None = None
+        self._name: str | None = None
+        self.filename: str | None = None
         self.tags: dict[str, Any] = {}
 
-        self._data: np.ma.masked_array = None
+        self._data: np.ma.masked_array | None = None
         self._nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = nodata
         self._indexes = indexes
-        self._indexes_loaded: int | tuple[int, ...] = None
+        self._indexes_loaded: int | tuple[int, ...] | None = None
         self._masked = masked
-        self._out_shape: tuple[int, int, int] = None
-        self._disk_hash: int = None
+        self._out_shape: tuple[int, int, int] | None = None
+        self._disk_hash: int | None = None
         self._is_modified = True
-        self._disk_shape: tuple[int, int, int] = None
-        self._disk_indexes: tuple[int] = None
-        self._disk_dtypes: tuple[str] = None
+        self._disk_shape: tuple[int, int, int] | None = None
+        self._disk_indexes: tuple[int] | None = None
+        self._disk_dtypes: tuple[str] | None = None
 
         # This is for Raster.from_array to work.
         if isinstance(filename_or_dataset, dict):
@@ -312,7 +312,6 @@ def __init__(
             return
         # Image is a file on disk.
         elif isinstance(filename_or_dataset, (str, pathlib.Path, rio.io.DatasetReader, rio.io.MemoryFile)):
-
             # ExitStack is used instead of "with rio.open(filename_or_dataset) as ds:".
             # This is because we might not actually want to open it like that, so this is equivalent
             # to the pseudocode:
@@ -487,7 +486,7 @@ def driver(self) -> str | None:
         """Driver used to read a file on disk."""
         return self._driver
 
-    def load(self, indexes: int | list[int] = None, **kwargs: Any) -> None:
+    def load(self, indexes: int | list[int] | None = None, **kwargs: Any) -> None:
         """
         Load the raster array from disk.
 
@@ -549,7 +548,7 @@ def from_array(
         data: np.ndarray | np.ma.masked_array,
         transform: tuple[float, ...] | Affine,
         crs: CRS | int | None,
-        nodata: int | float | tuple[int, ...] | tuple[float, ...] = None,
+        nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
     ) -> RasterType:
         """Create a raster from a numpy array and the georeferencing information.
 
@@ -1244,13 +1243,11 @@ def set_nodata(
 
         # If we update mask or array, get the masked array
         if update_array or update_mask:
-
             # Extract the data variable, so the self.data property doesn't have to be called a bunch of times
             imgdata = self.data
 
             # Loop through the bands
             for i, new_nodata in enumerate(nodata if isinstance(nodata, Iterable) else [nodata]):
-
                 # Get the index of old nodatas
                 index_old_nodatas = imgdata.data[i, :, :] == self.nodata
 
@@ -1485,7 +1482,7 @@ def info(self, stats: bool = False) -> str:
 
         return "".join(as_str)
 
-    def copy(self: RasterType, new_array: np.ndarray = None) -> RasterType:
+    def copy(self: RasterType, new_array: np.ndarray | None = None) -> RasterType:
         """
         Copy the raster in-memory.
 
@@ -1789,14 +1786,14 @@ def crop(
 
     def reproject(
         self: RasterType,
-        dst_ref: RasterType | str = None,
-        dst_crs: CRS | str | int = None,
-        dst_size: tuple[int, int] = None,
-        dst_bounds: dict[str, float] | rio.coords.BoundingBox = None,
-        dst_res: float | abc.Iterable[float] = None,
-        dst_nodata: int | float | tuple[int, ...] | tuple[float, ...] = None,
-        src_nodata: int | float | tuple[int, ...] | tuple[float, ...] = None,
-        dst_dtype: np.dtype = None,
+        dst_ref: RasterType | str | None = None,
+        dst_crs: CRS | str | int | None = None,
+        dst_size: tuple[int, int] | None = None,
+        dst_bounds: dict[str, float] | rio.coords.BoundingBox | None = None,
+        dst_res: float | abc.Iterable[float] | None = None,
+        dst_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
+        src_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
+        dst_dtype: np.dtype | None = None,
         resampling: Resampling | str = Resampling.bilinear,
         silent: bool = False,
         n_threads: int = 0,
@@ -1887,7 +1884,6 @@ def reproject(
         dst_transform = None
         # Case a raster is provided as reference
         if dst_ref is not None:
-
             # Check that dst_ref type is either str, Raster or rasterio data set
             # Preferably use Raster instance to avoid rasterio data set to remain open. See PR #45
             if isinstance(dst_ref, Raster):
@@ -1930,7 +1926,6 @@ def reproject(
                 # Let rasterio determine the maximum bounds of the new raster.
                 reproj_kwargs.update({"dst_resolution": dst_res})
             else:
-
                 # Bounds specified. First check if xres and yres are different.
                 if isinstance(dst_res, tuple):
                     xres = dst_res[0]
@@ -1961,7 +1956,6 @@ def reproject(
 
         # If dst_bounds is set, will enforce dst_bounds
         if dst_bounds is not None:
-
             if dst_size is None:
                 # Calculate new raster size which ensures that pixels resolution is as close as possible to original
                 # Raster size is increased by up to one pixel if needed
@@ -2012,7 +2006,6 @@ def reproject(
 
         # If data is loaded, reproject the numpy array directly
         if self.is_loaded:
-
             # All masked values must be set to a nodata value for rasterio's reproject to work properly
             # TODO: another option is to apply rio.warp.reproject to the mask to identify invalid pixels
             if src_nodata is None and np.sum(self.data.mask) > 0:
@@ -2064,15 +2057,15 @@ def save(
         self,
         filename: str | pathlib.Path | IO[bytes],
         driver: str = "GTiff",
-        dtype: DTypeLike = None,
-        nodata: AnyNumber = None,
+        dtype: DTypeLike | None = None,
+        nodata: AnyNumber | None = None,
         compress: str = "deflate",
         tiled: bool = False,
-        blank_value: int | float = None,
-        co_opts: dict[str, str] = None,
-        metadata: dict[str, Any] = None,
-        gcps: list[tuple[float, ...]] = None,
-        gcps_crs: CRS = None,
+        blank_value: int | float | None = None,
+        co_opts: dict[str, str] | None = None,
+        metadata: dict[str, Any] | None = None,
+        gcps: list[tuple[float, ...]] | None = None,
+        gcps_crs: CRS | None = None,
     ) -> None:
         """
         Write the raster to file.
@@ -2123,7 +2116,6 @@ def save(
 
             # if masked array, save with masked values replaced by nodata
             if isinstance(save_data, np.ma.masked_array):
-
                 # In this case, nodata=None is not compatible, so revert to default values, only if masked values exist
                 if (nodata is None) & (np.count_nonzero(save_data.mask) > 0):
                     nodata = _default_nodata(save_data.dtype)
@@ -2145,7 +2137,6 @@ def save(
             tiled=tiled,
             **co_opts,
         ) as dst:
-
             dst.write(save_data)
 
             # Add metadata (tags in rio)
@@ -2166,7 +2157,7 @@ def save(
 
                 dst.gcps = (rio_gcps, gcps_crs)
 
-    def to_xarray(self, name: str = None) -> xr.DataArray:
+    def to_xarray(self, name: str | None = None) -> xr.DataArray:
         """
         Convert raster to a xarray.DataArray.
 
@@ -2247,14 +2238,14 @@ def intersection(self, rst: str | Raster, match_ref: bool = True) -> tuple[float
 
     def show(
         self,
-        index: int = None,
-        cmap: matplotlib.colors.Colormap | str = None,
-        vmin: float | int = None,
-        vmax: float | int = None,
-        alpha: float | int = None,
-        cbar_title: str = None,
+        index: int | None = None,
+        cmap: matplotlib.colors.Colormap | str | None = None,
+        vmin: float | int | None = None,
+        vmax: float | int | None = None,
+        alpha: float | int | None = None,
+        cbar_title: str | None = None,
         add_cbar: bool = True,
-        ax: matplotlib.axes.Axes | Literal["new"] = None,
+        ax: matplotlib.axes.Axes | Literal["new"] | None = None,
         return_axes: bool = False,
         **kwargs: Any,
     ) -> None | tuple[matplotlib.axes.Axes, matplotlib.colors.Colormap]:
@@ -2382,9 +2373,9 @@ def value_at_coords(
         x: float | ArrayLike,
         y: float | ArrayLike,
         latlon: bool = False,
-        index: int = None,
+        index: int | None = None,
         masked: bool = False,
-        window: int = None,
+        window: int | None = None,
         reducer_function: Callable[[np.ndarray], float] = np.ma.mean,
         return_window: bool = False,
         boundless: bool = True,
@@ -2477,7 +2468,6 @@ def format_value(value: Any) -> Any:
 
         # Loop over all coordinates passed
         for k in range(len(rows)):  # type: ignore
-
             value: float | dict[int, float] | tuple[float | dict[int, float] | tuple[list[float], np.ndarray] | Any]
 
             row = rows[k]  # type: ignore
@@ -2591,7 +2581,7 @@ def xy2ij(
         x: ArrayLike,
         y: ArrayLike,
         op: type = np.float32,
-        precision: float = None,
+        precision: float | None = None,
         shift_area_or_point: bool = False,
     ) -> tuple[np.ndarray, np.ndarray]:
         """
@@ -2720,7 +2710,6 @@ def interp_points(
         shift_area_or_point: bool = False,
         **kwargs: Any,
     ) -> np.ndarray:
-
         """
          Interpolate raster values at a set of points.
 
@@ -2768,7 +2757,7 @@ def interp_points(
 
         return rpts
 
-    def split_bands(self: RasterType, copy: bool = False, subset: list[int] | int = None) -> list[Raster]:
+    def split_bands(self: RasterType, copy: bool = False, subset: list[int] | int | None = None) -> list[Raster]:
         """
         Split the bands into separate rasters.
 
@@ -2911,7 +2900,6 @@ def polygonize(
 
         # mask a unique value set by a number
         if isinstance(target_values, Number):
-
             if np.sum(self.data == target_values) == 0:
                 raise ValueError(f"no pixel with in_value {target_values}")
 
@@ -2919,7 +2907,6 @@ def polygonize(
 
         # mask values within boundaries set by a tuple
         elif isinstance(target_values, tuple):
-
             if np.sum((self.data > target_values[0]) & (self.data < target_values[1])) == 0:
                 raise ValueError(f"no pixel with in_value between {target_values[0]} and {target_values[1]}")
 
@@ -2927,7 +2914,6 @@ def polygonize(
 
         # mask specific values set by a sequence
         elif isinstance(target_values, list) or isinstance(target_values, np.ndarray):
-
             if np.sum(np.isin(self.data, target_values)) == 0:
                 raise ValueError("no pixel with in_value " + ", ".join(map("{}".format, target_values)))
 
@@ -2935,11 +2921,9 @@ def polygonize(
 
         # mask all valid values
         elif target_values == "all":
-
             bool_msk = (~self.data.mask).astype("uint8")
 
         else:
-
             raise ValueError("in_value must be a number, a tuple or a sequence")
 
         # GeoPandas.from_features() only supports certain dtypes, we find the best common dtype to optimize memory usage
@@ -2970,8 +2954,8 @@ def polygonize(
 
     def proximity(
         self,
-        vector: Vector = None,
-        target_values: list[float] = None,
+        vector: Vector | None = None,
+        target_values: list[float] | None = None,
         geometry_type: str = "boundary",
         in_or_out: Literal["in"] | Literal["out"] | Literal["both"] = "both",
         distance_unit: Literal["pixel"] | Literal["georeferenced"] = "georeferenced",
@@ -3012,7 +2996,7 @@ def subsample(
         self,
         subsample: int | float,
         return_indices: bool = False,
-        random_state: np.random.RandomState | np.random.Generator | int = None,
+        random_state: np.random.RandomState | np.random.Generator | int | None = None,
     ) -> np.ndarray:
         """
         Randomly subsample the raster. Only valid values are considered.
@@ -3052,7 +3036,6 @@ def __init__(
         filename_or_dataset: str | RasterType | rio.io.DatasetReader | rio.io.MemoryFile | dict[str, Any],
         **kwargs: Any,
     ) -> None:
-
         # If a Mask is passed, simply point back to Mask
         if isinstance(filename_or_dataset, Mask):
             for key in filename_or_dataset.__dict__:
@@ -3128,20 +3111,19 @@ def _repr_html_(self) -> str:
 
     def reproject(
         self: Mask,
-        dst_ref: RasterType | str = None,
-        dst_crs: CRS | str | int = None,
-        dst_size: tuple[int, int] = None,
-        dst_bounds: dict[str, float] | rio.coords.BoundingBox = None,
-        dst_res: float | abc.Iterable[float] = None,
-        dst_nodata: int | float | tuple[int, ...] | tuple[float, ...] = None,
-        src_nodata: int | float | tuple[int, ...] | tuple[float, ...] = None,
-        dst_dtype: np.dtype = None,
+        dst_ref: RasterType | str | None = None,
+        dst_crs: CRS | str | int | None = None,
+        dst_size: tuple[int, int] | None = None,
+        dst_bounds: dict[str, float] | rio.coords.BoundingBox | None = None,
+        dst_res: float | abc.Iterable[float] | None = None,
+        dst_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
+        src_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
+        dst_dtype: np.dtype | None = None,
         resampling: Resampling | str = Resampling.nearest,
         silent: bool = False,
         n_threads: int = 0,
         memory_limit: int = 64,
     ) -> Mask:
-
         # Depending on resampling, adjust to rasterio supported types
         if resampling in [Resampling.nearest, "nearest"]:
             self._data = self.data.astype("uint8")
@@ -3210,7 +3192,6 @@ def crop(
         mode: Literal["match_pixel"] | Literal["match_extent"] = "match_pixel",
         inplace: bool = True,
     ) -> Mask | None:
-
         # If there is resampling involved during cropping, encapsulate type as in reproject()
         if mode == "match_extent":
             raise ValueError(NotImplementedError)
@@ -3234,7 +3215,6 @@ def crop(
     def polygonize(
         self, target_values: Number | tuple[Number, Number] | list[Number] | np.ndarray | Literal["all"] = 1
     ) -> Vector:
-
         # If target values is passed but does not correspond to 0 or 1, raise a warning
         if not isinstance(target_values, (int, np.integer, float, np.floating)) or target_values not in [0, 1]:
             warnings.warn("In-value converted to 1 for polygonizing boolean mask.")
@@ -3246,13 +3226,12 @@ def polygonize(
 
     def proximity(
         self,
-        vector: Vector = None,
-        target_values: list[float] = None,
+        vector: Vector | None = None,
+        target_values: list[float] | None = None,
         geometry_type: str = "boundary",
         in_or_out: Literal["in"] | Literal["out"] | Literal["both"] = "both",
         distance_unit: Literal["pixel"] | Literal["georeferenced"] = "georeferenced",
     ) -> Raster:
-
         # By default, target True values of the mask
         if vector is None and target_values is None:
             target_values = [1]
@@ -3332,8 +3311,8 @@ def __invert__(self: Mask) -> Mask:
 
 def proximity_from_vector_or_raster(
     raster: Raster,
-    vector: Vector = None,
-    target_values: list[float] = None,
+    vector: Vector | None = None,
+    target_values: list[float] | None = None,
     geometry_type: str = "boundary",
     in_or_out: Literal["in"] | Literal["out"] | Literal["both"] = "both",
     distance_unit: Literal["pixel"] | Literal["georeferenced"] = "georeferenced",
diff --git a/geoutils/raster/sampling.py b/geoutils/raster/sampling.py
index 2db9942d6..74477f3bd 100644
--- a/geoutils/raster/sampling.py
+++ b/geoutils/raster/sampling.py
@@ -11,7 +11,7 @@ def subsample_array(
     array: np.ndarray | np.ma.masked_array,
     subsample: float | int,
     return_indices: bool = False,
-    random_state: np.random.RandomState | np.random.Generator | int = None,
+    random_state: np.random.RandomState | np.random.Generator | int | None = None,
 ) -> np.ndarray:
     """
     Randomly subsample a 1D or 2D array by a subsampling factor, taking only non NaN/masked values.
diff --git a/geoutils/raster/satimg.py b/geoutils/raster/satimg.py
index 301d7766f..5aa916334 100644
--- a/geoutils/raster/satimg.py
+++ b/geoutils/raster/satimg.py
@@ -42,12 +42,10 @@ def parse_landsat(gname: str) -> list[Any]:
 
 
 def parse_metadata_from_fn(fname: str) -> list[Any]:
-
     bname = os.path.splitext(os.path.basename(fname))[0]
 
     # assumes that the filename has a form XX_YY.ext
     if "_" in bname:
-
         spl = bname.split("_")
 
         # attrs corresponds to: satellite, sensor, product, version, tile_name, datetime
@@ -119,7 +117,7 @@ def parse_metadata_from_fn(fname: str) -> list[Any]:
     return list(attrs)
 
 
-def parse_tile_attr_from_name(tile_name: str, product: str = None) -> tuple[float, float, tuple[int, int], int]:
+def parse_tile_attr_from_name(tile_name: str, product: str | None = None) -> tuple[float, float, tuple[int, int], int]:
     """
     Convert tile naming to metadata coordinates based on sensor and product
     by default the SRTMGL1 1x1° tile naming convention to lat, lon (originally SRTMGL1)
@@ -150,7 +148,6 @@ def parse_tile_attr_from_name(tile_name: str, product: str = None) -> tuple[floa
 
 
 def sw_naming_to_latlon(tile_name: str) -> tuple[float, float]:
-
     """
     Get latitude and longitude corresponding to southwestern corner of tile naming (originally SRTMGL1 convention)
 
@@ -250,27 +247,25 @@ def latlon_to_sw_naming(
 
 
 class SatelliteImage(Raster):  # type: ignore
-
     date: None | dt.datetime
 
     def __init__(
         self,
         filename_or_dataset: str | RasterType | rio.io.DatasetReader | rio.io.MemoryFile,
-        attrs: list[str] = None,
+        attrs: list[str] | None = None,
         load_data: bool = True,
-        indexes: int | list[int] = None,
+        indexes: int | list[int] | None = None,
         read_from_fn: bool = True,
-        datetime: dt.datetime = None,
-        tile_name: str = None,
-        satellite: str = None,
-        sensor: str = None,
-        product: str = None,
-        version: str = None,
+        datetime: dt.datetime | None = None,
+        tile_name: str | None = None,
+        satellite: str | None = None,
+        sensor: str | None = None,
+        product: str | None = None,
+        version: str | None = None,
         read_from_meta: bool = True,
-        fn_meta: str = None,
+        fn_meta: str | None = None,
         silent: bool = True,
     ) -> None:
-
         """
         Load satellite data through the Raster class and parse additional attributes from filename or metadata.
 
@@ -322,7 +317,6 @@ def __init__(
         self.__get_date()
 
     def __get_date(self) -> dt.datetime | None:  # type: ignore
-
         """
         Get date from datetime
         :return:
@@ -333,7 +327,6 @@ def __get_date(self) -> dt.datetime | None:  # type: ignore
             self.date = None
 
     def __parse_metadata_from_fn(self, silent: bool = False) -> None:
-
         """
         Attempts to pull metadata (e.g., sensor, date information) from fname, setting sensor, satellite,
         tile, datetime, and date attributes.
@@ -438,7 +431,7 @@ def __parse_metadata_from_file(self, fn_meta: str | None) -> None:
 
         return None
 
-    def copy(self, new_array: np.ndarray = None) -> SatelliteImage:
+    def copy(self, new_array: np.ndarray | None = None) -> SatelliteImage:
         new_satimg = super().copy(new_array=new_array)  # type: ignore
         # all objects here are immutable so no need for a copy method (string and datetime)
         # satimg_attrs = ['satellite', 'sensor', 'product', 'version', 'tile_name', 'datetime'] #taken outside of class
diff --git a/geoutils/vector.py b/geoutils/vector.py
index 27dece8d9..be2dba661 100644
--- a/geoutils/vector.py
+++ b/geoutils/vector.py
@@ -11,15 +11,15 @@
 from typing import Any, Literal, TypeVar, overload
 
 import fiona
-import pandas as pd
 import geopandas as gpd
-from geopandas.testing import assert_geodataframe_equal
 import matplotlib
 import matplotlib.pyplot as plt
 import numpy as np
+import pandas as pd
 import rasterio as rio
 import rasterio.errors
 import shapely
+from geopandas.testing import assert_geodataframe_equal
 from mpl_toolkits.axes_grid1 import make_axes_locatable
 from rasterio import features, warp
 from rasterio.crs import CRS
@@ -117,14 +117,6 @@ def __str__(self) -> str:
 
         return str(self.ds.__str__())
 
-
-    def __setattr__(self, attr, val):
-        # have to special case geometry b/c pandas tries to use as column...
-        if attr == "geometry":
-            object.__setattr__(self, attr, val)
-        else:
-            super().__setattr__(attr, val)
-
     def info(self) -> str:
         """
         Summarize information about the vector.
@@ -144,14 +136,14 @@ def info(self) -> str:
 
     def show(
         self,
-        ref_crs: gu.Raster | rio.io.DatasetReader | VectorType | gpd.GeoDataFrame | str | CRS | int = None,
-        cmap: matplotlib.colors.Colormap | str = None,
-        vmin: float | int = None,
-        vmax: float | int = None,
-        alpha: float | int = None,
-        cbar_title: str = None,
+        ref_crs: gu.Raster | rio.io.DatasetReader | VectorType | gpd.GeoDataFrame | str | CRS | int | None = None,
+        cmap: matplotlib.colors.Colormap | str | None = None,
+        vmin: float | int | None = None,
+        vmax: float | int | None = None,
+        alpha: float | int | None = None,
+        cbar_title: str | None = None,
         add_cbar: bool = False,
-        ax: matplotlib.axes.Axes | Literal["new"] = None,
+        ax: matplotlib.axes.Axes | Literal["new"] | None = None,
         return_axes: bool = False,
         **kwargs: Any,
     ) -> None | tuple[matplotlib.axes.Axes, matplotlib.colors.Colormap]:
@@ -254,11 +246,11 @@ def show(
 
     def save(
         self,
-        filename: str | pathlib.Path ,
-        driver: str = None,
-        schema: dict = None,
-        index: bool = None,
-        **kwargs: Any
+        filename: str | pathlib.Path,
+        driver: str | None = None,
+        schema: dict[str, Any] | None = None,
+        index: bool | None = None,
+        **kwargs: Any,
     ) -> None:
         """
         Write the vector to file.
@@ -275,11 +267,13 @@ def save(
 
         self.ds.to_file(filename=filename, driver=driver, schema=schema, index=index, **kwargs)
 
-    ########################################################################################################################
-    # Overriden and wrapped methods from GeoPandas and Pandas API to logically cast the output for minimalistic manipulation
-    ########################################################################################################################
-    def _override_gdf_output(self,
-                             other: gpd.GeoDataFrame | gpd.GeoSeries | shapely.Geometry | pd.Series | Any) -> Vector | pd.Series:
+    ############################################################################
+    # Overridden and wrapped methods from GeoPandas API to logically cast outputs
+    ############################################################################
+
+    def _override_gdf_output(
+        self, other: gpd.GeoDataFrame | gpd.GeoSeries | shapely.Geometry | pd.Series | Any
+    ) -> Vector | pd.Series:
         """Parse outputs of GeoPandas functions to facilitate object manipulation."""
 
         # Raise error if output is not treated separately, should appear in tests
@@ -295,110 +289,104 @@ def _override_gdf_output(self,
         # If a Shapely Geometry is the output, re-encapsulate in a GeoDataFrame and return it
         elif isinstance(other, shapely.Geometry):
             return Vector(gpd.GeoDataFrame({"geometry": [other]}, crs=self.crs))
-        # If a DataFrame is the output, append it to that of the GeoDataFrame
-        elif isinstance(other, pd.Series):
+        # If a Pandas Series is the output, append it to that of the GeoDataFrame
+        else:
             return other
 
     # -----------------------------------------------
     # GeoPandasBase - Attributes that return a Series
     # -----------------------------------------------
 
-    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)  # type: ignore
     @property
     def area(self) -> pd.Series:
         return self._override_gdf_output(self.ds.area)
 
-    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)  # type: ignore
     @property
     def length(self) -> pd.Series:
         return self._override_gdf_output(self.ds.length)
 
-    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)  # type: ignore
     @property
     def interiors(self) -> pd.Series:
         return self._override_gdf_output(self.ds.interiors)
 
-    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)  # type: ignore
     @property
     def geom_type(self) -> pd.Series:
         return self._override_gdf_output(self.ds.geom_type)
 
     # Exception ! bounds is renamed geom_bounds to make Raster and Vector "bounds" the same "total_bounds"
     @property
-    def geom_bounds(self):
+    def geom_bounds(self) -> pd.Series:
         """Returns or appends to ``Vector`` a ``Series`` with the bounds of each geometry feature."""
         return self.ds.bounds
 
-    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)  # type: ignore
     @property
     def is_empty(self) -> pd.Series:
         return self._override_gdf_output(self.ds.is_empty)
 
-    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)  # type: ignore
     @property
     def is_ring(self) -> pd.Series:
         return self._override_gdf_output(self.ds.is_ring)
 
-    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)  # type: ignore
     @property
     def is_simple(self) -> pd.Series:
         return self._override_gdf_output(self.ds.is_simple)
 
-    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)  # type: ignore
     @property
-    def has_z(self) -> bool:
+    def has_z(self) -> pd.Series:
         return self.ds.has_z
 
     # --------------------------------------------------
     # GeoPandasBase - Attributes that return a GeoSeries
     # --------------------------------------------------
 
-    @copy_doc(gpd.GeoSeries, "Vector")
+    @copy_doc(gpd.GeoSeries, "Vector")  # type: ignore
     @property
     def boundary(self) -> Vector:
-
         return self._override_gdf_output(self.ds.boundary)
 
-    @copy_doc(gpd.GeoSeries, "Vector")
+    @copy_doc(gpd.GeoSeries, "Vector")  # type: ignore
     @property
     def unary_union(self) -> Vector:
-
         return self._override_gdf_output(self.ds.unary_union)
 
-    @copy_doc(gpd.GeoSeries, "Vector")
+    @copy_doc(gpd.GeoSeries, "Vector")  # type: ignore
     @property
     def centroid(self) -> Vector:
-
         return self._override_gdf_output(self.ds.centroid)
 
-    @copy_doc(gpd.GeoSeries, "Vector")
+    @copy_doc(gpd.GeoSeries, "Vector")  # type: ignore
     @property
     def convex_hull(self) -> Vector:
-
         return self._override_gdf_output(self.ds.convex_hull)
 
-    @copy_doc(gpd.GeoSeries, "Vector")
+    @copy_doc(gpd.GeoSeries, "Vector")  # type: ignore
     @property
     def envelope(self) -> Vector:
-
         return self._override_gdf_output(self.ds.envelope)
 
-    @copy_doc(gpd.GeoSeries, "Vector")
+    @copy_doc(gpd.GeoSeries, "Vector")  # type: ignore
     @property
     def exterior(self) -> Vector:
-
         return self._override_gdf_output(self.ds.exterior)
 
     # ---------------------------------------------------------------------------------
     # GeoPandasBase - Attributes that return a specific value (not Series or GeoSeries)
     # ---------------------------------------------------------------------------------
 
-    @copy_doc(gpd.GeoSeries, "Vector")
+    @copy_doc(gpd.GeoSeries, "Vector")  # type: ignore
     @property
     def has_sindex(self) -> bool:
         return self.ds.has_sindex
 
-    @copy_doc(gpd.GeoSeries, "Vector")
+    @copy_doc(gpd.GeoSeries, "Vector")  # type: ignore
     @property
     def sindex(self) -> bool:
         return self.ds.sindex
@@ -419,68 +407,60 @@ def bounds(self) -> rio.coords.BoundingBox:
     # --------------------------------------------
 
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def contains(self, other: gu.Vector, align: bool = True) -> Vector:
-
+    def contains(self, other: gu.Vector, align: bool = True) -> pd.Series:
         return self._override_gdf_output(self.ds.contains(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def geom_equals(self, other: gu.Vector, align: bool = True) -> Vector:
-
+    def geom_equals(self, other: gu.Vector, align: bool = True) -> pd.Series:
         return self._override_gdf_output(self.ds.geom_equals(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def geom_almost_equals(self, other: gu.Vector, decimal: int = 6, align: bool = True) -> Vector:
-
+    def geom_almost_equals(self, other: gu.Vector, decimal: int = 6, align: bool = True) -> pd.Series:
         return self._override_gdf_output(self.ds.geom_almost_equals(other=other.ds, decimal=decimal, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def geom_equals_exact(self, other: gu.Vector, tolerance: float, align: bool=True,) -> Vector:
-
+    def geom_equals_exact(
+        self,
+        other: gu.Vector,
+        tolerance: float,
+        align: bool = True,
+    ) -> pd.Series:
         return self._override_gdf_output(self.ds.geom_equals_exact(other=other.ds, tolerance=tolerance, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def crosses(self, other: gu.Vector, align: bool=True) -> Vector:
-
+    def crosses(self, other: gu.Vector, align: bool = True) -> pd.Series:
         return self._override_gdf_output(self.ds.crosses(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def disjoint(self, other: gu.Vector, align: bool=True) -> Vector:
-
+    def disjoint(self, other: gu.Vector, align: bool = True) -> pd.Series:
         return self._override_gdf_output(self.ds.disjoint(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def intersects(self, other: gu.Vector, align: bool=True) -> Vector:
-
+    def intersects(self, other: gu.Vector, align: bool = True) -> pd.Series:
         return self._override_gdf_output(self.ds.intersects(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def overlaps(self, other: gu.Vector, align: bool=True) -> Vector:
-
+    def overlaps(self, other: gu.Vector, align: bool = True) -> pd.Series:
         return self._override_gdf_output(self.ds.overlaps(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def touches(self, other: gu.Vector, align: bool=True) -> Vector:
-
+    def touches(self, other: gu.Vector, align: bool = True) -> pd.Series:
         return self._override_gdf_output(self.ds.touches(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def within(self, other: gu.Vector, align: bool=True) -> Vector:
-
+    def within(self, other: gu.Vector, align: bool = True) -> pd.Series:
         return self._override_gdf_output(self.ds.within(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def covers(self, other: gu.Vector, align: bool=True) -> Vector:
-
+    def covers(self, other: gu.Vector, align: bool = True) -> pd.Series:
         return self._override_gdf_output(self.ds.covers(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def covered_by(self, other: gu.Vector, align: bool=True) -> Vector:
-
+    def covered_by(self, other: gu.Vector, align: bool = True) -> pd.Series:
         return self._override_gdf_output(self.ds.covered_by(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)
-    def distance(self, other: gu.Vector, align: bool=True) -> Vector:
-
+    def distance(self, other: gu.Vector, align: bool = True) -> pd.Series:
         return self._override_gdf_output(self.ds.distance(other=other.ds, align=align))
 
     # Method that exists in GeoPandasBase but not exposed in GeoSeries yet
@@ -501,77 +481,62 @@ def distance(self, other: gu.Vector, align: bool=True) -> Vector:
 
     @copy_doc(gpd.GeoSeries, "Vector")
     def representative_point(self) -> Vector:
-
         return self._override_gdf_output(self.ds.representative_point())
 
     @copy_doc(gpd.GeoSeries, "Vector")
     def normalize(self) -> Vector:
-
         return self._override_gdf_output(self.ds.normalize())
 
     @copy_doc(gpd.GeoSeries, "Vector")
     def make_valid(self) -> Vector:
-
         return self._override_gdf_output(self.ds.make_valid())
 
     @copy_doc(gpd.GeoSeries, "Vector")
-    def difference(self, other: gu.Vector, align: bool=True) -> Vector:
-
+    def difference(self, other: gu.Vector, align: bool = True) -> Vector:
         return self._override_gdf_output(self.ds.difference(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector")
-    def symmetric_difference(self, other: gu.Vector, align: bool=True) -> Vector:
-
+    def symmetric_difference(self, other: gu.Vector, align: bool = True) -> Vector:
         return self._override_gdf_output(self.ds.symmetric_difference(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector")
-    def union(self, other: gu.Vector, align: bool=True) -> Vector:
-
+    def union(self, other: gu.Vector, align: bool = True) -> Vector:
         return self._override_gdf_output(self.ds.union(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector")
-    def intersection(self, other: gu.Vector, align: bool=True) -> Vector:
-
+    def intersection(self, other: gu.Vector, align: bool = True) -> Vector:
         return self._override_gdf_output(self.ds.intersection(other=other.ds, align=align))
 
     @copy_doc(gpd.GeoSeries, "Vector")
     def clip_by_rect(self, xmin: float, ymin: float, xmax: float, ymax: float) -> Vector:
-
         return self._override_gdf_output(self.ds.clip_by_rect(xmin=xmin, ymin=ymin, xmax=xmax, ymax=ymax))
 
     @copy_doc(gpd.GeoSeries, "Vector")
-    def buffer(self, distance: float, resolution: int=16, **kwargs) -> Vector:
-
+    def buffer(self, distance: float, resolution: int = 16, **kwargs: Any) -> Vector:
         return self._override_gdf_output(self.ds.buffer(distance=distance, resolution=resolution, **kwargs))
 
     @copy_doc(gpd.GeoSeries, "Vector")
     def simplify(self, *args: Any, **kwargs: Any) -> Vector:
-
         return self._override_gdf_output(self.ds.simplify(*args, **kwargs))
 
     @copy_doc(gpd.GeoSeries, "Vector")
     def affine_transform(self, matrix: tuple[float, ...]) -> Vector:
-
         return self._override_gdf_output(self.ds.affine_transform(matrix=matrix))
 
     @copy_doc(gpd.GeoSeries, "Vector")
     def translate(self, xoff: float = 0.0, yoff: float = 0.0, zoff: float = 0.0) -> Vector:
-
         return self._override_gdf_output(self.ds.translate(xoff=xoff, yoff=yoff, zoff=zoff))
 
     @copy_doc(gpd.GeoSeries, "Vector")
     def rotate(self, angle: float, origin: str = "center", use_radians: bool = False) -> Vector:
-
         return self._override_gdf_output(self.ds.rotate(angle=angle, origin=origin, use_radians=use_radians))
 
     @copy_doc(gpd.GeoSeries, "Vector")
     def scale(self, xfact: float = 1.0, yfact: float = 1.0, zfact: float = 1.0, origin: str = "center") -> Vector:
-
         return self._override_gdf_output(self.ds.scale(xfact=xfact, yfact=yfact, zfact=zfact, origin=origin))
 
     @copy_doc(gpd.GeoSeries, "Vector")
-    def skew(self, xs: float=0.0, ys: float=0.0, origin: str = "center", use_radians: bool =False) -> Vector:
-
+    def skew(self, xs: float = 0.0, ys: float = 0.0, origin: str = "center", use_radians: bool = False) -> Vector:
         return self._override_gdf_output(self.ds.skew(xs=xs, ys=ys, origin=origin, use_radians=use_radians))
 
     # Method that exists in GeoPandasBase but not exposed in GeoSeries yet
@@ -580,7 +545,6 @@ def skew(self, xs: float=0.0, ys: float=0.0, origin: str = "center", use_radians
     #
     #     return self._override_gdf_output(self.ds.interpolate(distance=distance, normalized=normalized))
 
-
     # ----------------------------------------------
     # GeoDataFrame - Methods that return a GeoSeries
     # ----------------------------------------------
@@ -600,22 +564,35 @@ def __getitem__(self, key: gu.Raster | Vector | list[float] | tuple[float, ...]
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
     def __setitem__(self, key: Any, value: Any) -> None:
-
         self.ds.__setitem__(key, value)
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
-    def dissolve(self, by: Any=None, aggfunc: Any = "first", as_index: bool=True, level: Any=None, sort: bool=True, observed: bool=False, dropna: bool=True) -> Vector:
-
-        return self._override_gdf_output(self.ds.dissolve(by=by, aggfunc=aggfunc, as_index=as_index, level=level, sort=sort, observed=observed, dropna=dropna))
+    def dissolve(
+        self,
+        by: Any = None,
+        aggfunc: Any = "first",
+        as_index: bool = True,
+        level: Any = None,
+        sort: bool = True,
+        observed: bool = False,
+        dropna: bool = True,
+    ) -> Vector:
+        return self._override_gdf_output(
+            self.ds.dissolve(
+                by=by, aggfunc=aggfunc, as_index=as_index, level=level, sort=sort, observed=observed, dropna=dropna
+            )
+        )
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
-    def explode(self, column: str = None, ignore_index: bool = False, index_parts: bool = None, **kwargs: Any) -> Vector:
-
-        return self._override_gdf_output(self.ds.explode(column=column, ignore_index=ignore_index, index_parts=index_parts, **kwargs))
+    def explode(
+        self, column: str | None = None, ignore_index: bool = False, index_parts: bool | None = None, **kwargs: Any
+    ) -> Vector:
+        return self._override_gdf_output(
+            self.ds.explode(column=column, ignore_index=ignore_index, index_parts=index_parts, **kwargs)
+        )
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
     def sjoin(self, df: Vector | gpd.GeoDataFrame, *args: Any, **kwargs: Any) -> Vector:
-
         # Ensure input is a geodataframe
         if isinstance(df, gu.Vector):
             gdf = df.ds
@@ -625,28 +602,49 @@ def sjoin(self, df: Vector | gpd.GeoDataFrame, *args: Any, **kwargs: Any) -> Vec
         return self._override_gdf_output(self.ds.sjoin(df=gdf, *args, **kwargs))
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
-    def sjoin_nearest(self, right: Vector | gpd.GeoDataFrame, how: str = "inner", max_distance: float = None, lsuffix: str = "left", rsuffix: str = "right",
-                      distance_col: str = None) -> Vector:
-
+    def sjoin_nearest(
+        self,
+        right: Vector | gpd.GeoDataFrame,
+        how: str = "inner",
+        max_distance: float | None = None,
+        lsuffix: str = "left",
+        rsuffix: str = "right",
+        distance_col: str | None = None,
+    ) -> Vector:
         # Ensure input is a geodataframe
         if isinstance(right, gu.Vector):
             gdf = right.ds
         else:
             gdf = right
 
-        return self._override_gdf_output(self.ds.sjoin_nearest(right=gdf, how=how, max_distance=max_distance, lsuffix=lsuffix, rsuffix=rsuffix,
-                                                               distance_col=distance_col))
+        return self._override_gdf_output(
+            self.ds.sjoin_nearest(
+                right=gdf,
+                how=how,
+                max_distance=max_distance,
+                lsuffix=lsuffix,
+                rsuffix=rsuffix,
+                distance_col=distance_col,
+            )
+        )
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
-    def overlay(self, right: Vector | gpd.GeoDataFrame, how: str = "intersection", keep_geom_type: bool = None, make_valid: bool = True) -> Vector:
-
+    def overlay(
+        self,
+        right: Vector | gpd.GeoDataFrame,
+        how: str = "intersection",
+        keep_geom_type: bool | None = None,
+        make_valid: bool = True,
+    ) -> Vector:
         # Ensure input is a geodataframe
         if isinstance(right, gu.Vector):
             gdf = right.ds
         else:
             gdf = right
 
-        return self._override_gdf_output(self.ds.overlay(right=gdf, how=how, keep_geom_type=keep_geom_type, make_valid=make_valid))
+        return self._override_gdf_output(
+            self.ds.overlay(right=gdf, how=how, keep_geom_type=keep_geom_type, make_valid=make_valid)
+        )
 
     # --------------------------------
     # End of GeoPandas functionalities
@@ -685,12 +683,10 @@ def name(self) -> str | None:
 
     @property
     def geometry(self) -> gpd.GeoSeries:
-
         return self.ds.geometry
 
     @property
-    def index(self):
-
+    def index(self) -> pd.Index:
         return self.ds.index
 
     def copy(self: VectorType) -> VectorType:
@@ -775,8 +771,8 @@ def crop(
 
     def reproject(
         self: Vector,
-        dst_ref: gu.Raster | rio.io.DatasetReader | VectorType | gpd.GeoDataFrame | str = None,
-        dst_crs: CRS | str | int = None,
+        dst_ref: gu.Raster | rio.io.DatasetReader | VectorType | gpd.GeoDataFrame | str | None = None,
+        dst_crs: CRS | str | int | None = None,
     ) -> Vector:
         """
         Reproject vector to a specified coordinate reference system.
@@ -801,7 +797,6 @@ def reproject(
 
         # Case a raster or vector is provided as reference
         if dst_ref is not None:
-
             # Check that dst_ref type is either str, Raster or rasterio data set
             # Preferably use Raster instance to avoid rasterio data set to remain open. See PR #45
             if isinstance(dst_ref, (gu.Raster, gu.Vector)):
@@ -832,11 +827,11 @@ def reproject(
     @overload
     def create_mask(
         self,
-        rst: str | gu.Raster = None,
-        crs: CRS = None,
-        xres: float = None,
-        yres: float = None,
-        bounds: tuple[float, float, float, float] = None,
+        rst: str | gu.Raster | None = None,
+        crs: CRS | None = None,
+        xres: float | None = None,
+        yres: float | None = None,
+        bounds: tuple[float, float, float, float] | None = None,
         buffer: int | float | np.number = 0,
         *,
         as_array: Literal[False] = False,
@@ -846,11 +841,11 @@ def create_mask(
     @overload
     def create_mask(
         self,
-        rst: str | gu.Raster = None,
-        crs: CRS = None,
-        xres: float = None,
-        yres: float = None,
-        bounds: tuple[float, float, float, float] = None,
+        rst: str | gu.Raster | None = None,
+        crs: CRS | None = None,
+        xres: float | None = None,
+        yres: float | None = None,
+        bounds: tuple[float, float, float, float] | None = None,
         buffer: int | float | np.number = 0,
         *,
         as_array: Literal[True],
@@ -859,11 +854,11 @@ def create_mask(
 
     def create_mask(
         self,
-        rst: gu.Raster = None,
-        crs: CRS = None,
-        xres: float = None,
-        yres: float = None,
-        bounds: tuple[float, float, float, float] = None,
+        rst: gu.Raster | None = None,
+        crs: CRS | None = None,
+        xres: float | None = None,
+        yres: float | None = None,
+        bounds: tuple[float, float, float, float] | None = None,
         buffer: int | float | np.number = 0,
         as_array: bool = False,
     ) -> gu.Mask | np.ndarray:
@@ -891,7 +886,6 @@ def create_mask(
 
         # If no rst given, use provided dimensions
         if rst is None:
-
             # At minimum, xres must be set
             if xres is None:
                 raise ValueError("At least rst or xres must be set.")
@@ -969,12 +963,12 @@ def create_mask(
 
     def rasterize(
         self,
-        rst: gu.Raster = None,
-        crs: CRS | int = None,
-        xres: float = None,
-        yres: float = None,
-        bounds: tuple[float, float, float, float] = None,
-        in_value: int | float | abc.Iterable[int | float] = None,
+        rst: gu.Raster | None = None,
+        crs: CRS | int | None = None,
+        xres: float | None = None,
+        yres: float | None = None,
+        bounds: tuple[float, float, float, float] | None = None,
+        in_value: int | float | abc.Iterable[int | float] | None = None,
         out_value: int | float = 0,
     ) -> gu.Raster | gu.Mask:
         """
@@ -1017,7 +1011,6 @@ def rasterize(
 
         # If no rst given, now use provided dimensions
         if rst is None:
-
             # At minimum, xres must be set
             if xres is None:
                 raise ValueError("At least rst or xres must be set.")
@@ -1084,7 +1077,7 @@ def rasterize(
 
     @classmethod
     def from_bounds_projected(
-        cls, raster_or_vector: gu.Raster | VectorType, out_crs: CRS = None, densify_pts: int = 5000
+        cls, raster_or_vector: gu.Raster | VectorType, out_crs: CRS | None = None, densify_pts: int = 5000
     ) -> VectorType:
         """Create a vector polygon from projected bounds of a raster or vector.
 
@@ -1123,7 +1116,7 @@ def query(self: Vector, expression: str, inplace: bool = False) -> Vector | None
 
     def proximity(
         self,
-        raster: gu.Raster = None,
+        raster: gu.Raster | None = None,
         grid_size: tuple[int, int] = (1000, 1000),
         geometry_type: str = "boundary",
         in_or_out: Literal["in"] | Literal["out"] | Literal["both"] = "both",
@@ -1154,7 +1147,6 @@ def proximity(
 
         # 0/ If no Raster is passed, create one on the Vector bounds of size 1000 x 1000
         if raster is None:
-
             # TODO: this bit of code is common in several vector functions (rasterize, etc): move out as common code?
             # By default, use self's bounds
             if self.bounds is None:
diff --git a/tests/test_geoviewer.py b/tests/test_geoviewer.py
index 8ca1dd186..9ef2d7eb5 100644
--- a/tests/test_geoviewer.py
+++ b/tests/test_geoviewer.py
@@ -35,7 +35,6 @@
     ),
 )  # type: ignore
 def test_geoviewer_valid(capsys, monkeypatch, filename, option):  # type: ignore
-
     # To avoid having the plots popping up during execution
     monkeypatch.setattr(plt, "show", lambda: None)
 
@@ -72,7 +71,6 @@ def test_geoviewer_valid(capsys, monkeypatch, filename, option):  # type: ignore
     ),
 )  # type: ignore
 def test_geoviewer_invalid(capsys, monkeypatch, filename, option):  # type: ignore
-
     # To avoid having the plots popping up during execution
     monkeypatch.setattr(plt, "show", lambda: None)
 
diff --git a/tests/test_misc.py b/tests/test_misc.py
index afb146466..cccb6280a 100644
--- a/tests/test_misc.py
+++ b/tests/test_misc.py
@@ -105,7 +105,6 @@ def useless_func() -> int:
                 useless_func()
 
     def test_diff_environment_yml(self, capsys) -> None:  # type: ignore
-
         # Test with synthetic environment
         env = {"dependencies": ["python==3.9", "numpy", "fiona"]}
         devenv = {"dependencies": ["python==3.9", "numpy", "fiona", "opencv"]}
diff --git a/tests/test_projtools.py b/tests/test_projtools.py
index 7572a0706..3e4c9904a 100644
--- a/tests/test_projtools.py
+++ b/tests/test_projtools.py
@@ -11,14 +11,12 @@
 
 
 class TestProjTools:
-
     landsat_b4_path = examples.get_path("everest_landsat_b4")
     landsat_b4_crop_path = examples.get_path("everest_landsat_b4_cropped")
     landsat_rgb_path = examples.get_path("everest_landsat_rgb")
     aster_dem_path = examples.get_path("exploradores_aster_dem")
 
     def test_latlon_to_utm(self) -> None:
-
         # First: Check errors are raised when format is invalid
 
         # If format is invalid
diff --git a/tests/test_raster.py b/tests/test_raster.py
index e54ce6101..f3ca6d155 100644
--- a/tests/test_raster.py
+++ b/tests/test_raster.py
@@ -65,7 +65,6 @@ def run_gdal_proximity(
 
 
 class TestRaster:
-
     landsat_b4_path = examples.get_path("everest_landsat_b4")
     landsat_b4_crop_path = examples.get_path("everest_landsat_b4_cropped")
     landsat_rgb_path = examples.get_path("everest_landsat_rgb")
@@ -2108,7 +2107,6 @@ def test_show_cbar(self, example, figsize) -> None:
         assert h == pytest.approx(h_cbar)
 
     def test_show(self) -> None:
-
         # Read single band raster and RGB raster
         img = gu.Raster(self.landsat_b4_path)
         img_RGB = gu.Raster(self.landsat_rgb_path)
@@ -2153,7 +2151,6 @@ def test_show(self) -> None:
 
     @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])  # type: ignore
     def test_save(self, example: str) -> None:
-
         # Read single band raster
         img = gu.Raster(example)
 
@@ -2216,7 +2213,6 @@ def test_save(self, example: str) -> None:
 
     @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path, landsat_rgb_path])  # type: ignore
     def test_coords(self, example: str) -> None:
-
         img = gu.Raster(self.landsat_b4_path)
 
         # With corner argument
@@ -2252,7 +2248,6 @@ def test_coords(self, example: str) -> None:
         assert np.array_equal(yygrid, np.flipud(np.repeat(yy0[:, np.newaxis], img.width, axis=1)))
 
     def test_from_array(self) -> None:
-
         # Test that from_array works if nothing is changed
         # -> most tests already performed in test_copy, no need for more
         img = gu.Raster(self.landsat_b4_path)
@@ -2318,7 +2313,6 @@ def test_type_hints(self) -> None:
             assert bad_lint not in lint_string, f"`{bad_lint}` contained in the lint_string"
 
     def test_split_bands(self) -> None:
-
         img = gu.Raster(self.landsat_rgb_path)
 
         red, green, blue = img.split_bands(copy=False)
@@ -2466,7 +2460,6 @@ def test_proximity_against_gdal(self, distunits: str, target_values: list[float]
             # It looks like GDAL might not have the right value,
             # so this particular case is treated differently in tests
             if target_values is not None and target_values[0] == 112 and raster.filename is not None:
-
                 # Get index and number of not almost equal point (tolerance of 10-4)
                 ind_not_almost_equal = np.abs(gdal_proximity - geoutils_proximity) > 1e-04
                 nb_not_almost_equal = np.count_nonzero(ind_not_almost_equal)
@@ -2485,7 +2478,6 @@ def test_proximity_against_gdal(self, distunits: str, target_values: list[float]
 
         # For debugging
         except Exception as exception:
-
             import matplotlib.pyplot as plt
 
             # Plotting the xdem and GDAL attributes for comparison (plotting "diff" can also help debug)
@@ -2725,7 +2717,6 @@ def test_implicit_logical_casting_real(self, example: str) -> None:
 
     @pytest.mark.parametrize("mask", [mask_landsat_b4, mask_aster_dem])  # type: ignore
     def test_reproject(self, mask: gu.Mask) -> None:
-
         # Test 1: with a classic resampling (bilinear)
 
         # Reproject mask
@@ -2752,7 +2743,6 @@ def test_reproject(self, mask: gu.Mask) -> None:
 
     @pytest.mark.parametrize("mask", [mask_landsat_b4, mask_aster_dem])  # type: ignore
     def test_crop(self, mask: gu.Mask) -> None:
-
         # Test with same bounds -> should be the same #
         crop_geom = mask.bounds
         mask_cropped = mask.crop(crop_geom, inplace=False)
@@ -2814,7 +2804,6 @@ def test_crop(self, mask: gu.Mask) -> None:
 
     @pytest.mark.parametrize("mask", [mask_landsat_b4, mask_aster_dem])  # type: ignore
     def test_polygonize(self, mask: gu.Mask) -> None:
-
         # Run default
         vect = mask.polygonize()
 
@@ -2831,7 +2820,6 @@ def test_polygonize(self, mask: gu.Mask) -> None:
 
     @pytest.mark.parametrize("mask", [mask_landsat_b4, mask_aster_dem])  # type: ignore
     def test_proximity(self, mask: gu.Mask) -> None:
-
         # Run default
         rast = mask.proximity()
 
@@ -3169,7 +3157,7 @@ def from_array(
         cls: type[TestArithmetic],
         data: np.ndarray | np.ma.masked_array,
         rst_ref: gu.RasterType,
-        nodata: int | float | list[int] | list[float] = None,
+        nodata: int | float | list[int] | list[float] | None = None,
     ) -> gu.Raster:
         """
         Generate a Raster from numpy array, with set georeferencing. Used for testing only.
@@ -3330,7 +3318,6 @@ def test_ops_logical_implicit(self) -> None:
         assert (r1 >= floatval).raster_equal(self.from_array(r1.data >= floatval, rst_ref=r1))
 
     def test_ops_logical_bitwise_implicit(self) -> None:
-
         # Create two masks
         r1 = self.r1
         m1 = self.r1 > 128
@@ -3380,7 +3367,6 @@ def test_raise_errors(self, op: str) -> None:
 
     @pytest.mark.parametrize("power", [2, 3.14, -1])  # type: ignore
     def test_power(self, power: float | int) -> None:
-
         if power > 0:  # Integers to negative integer powers are not allowed.
             assert self.r1**power == self.from_array(self.r1.data**power, rst_ref=self.r1)
         assert self.r1_f32**power == self.from_array(self.r1_f32.data**power, rst_ref=self.r1_f32)
@@ -3540,12 +3526,10 @@ def test_array_ufunc_1nin_1nout(self, ufunc_str: str, nodata_init: None | str, d
 
         # Catch warnings
         with warnings.catch_warnings():
-
             warnings.filterwarnings("ignore", category=RuntimeWarning)
 
             # Check if our input dtype is possible on this ufunc, if yes check that outputs are identical
             if com_dtype in (str(np.dtype(t[0])) for t in ufunc.types):
-
                 # For a single output
                 if ufunc.nout == 1:
                     assert np.ma.allequal(ufunc(rst.data), ufunc(rst).data)
@@ -3612,16 +3596,13 @@ def test_array_ufunc_2nin_1nout(
 
         # Catch warnings
         with warnings.catch_warnings():
-
             warnings.filterwarnings("ignore", category=RuntimeWarning)
             warnings.filterwarnings("ignore", category=UserWarning)
 
             # Check if both our input dtypes are possible on this ufunc, if yes check that outputs are identical
             if com_dtype_tuple in ((str(np.dtype(t[0])), str(np.dtype(t[1]))) for t in ufunc.types):
-
                 # For a single output
                 if ufunc.nout == 1:
-
                     # There exists a single exception due to negative integers as exponent of integers in "power"
                     if ufunc_str == "power" and "int" in dtype1 and "int" in dtype2 and np.min(rst2.data) < 0:
                         with pytest.raises(ValueError, match="Integers to negative integer powers are not allowed."):
@@ -3676,7 +3657,6 @@ def test_array_functions_1nin(self, arrfunc_str: str, dtype: str, nodata_init: N
 
         # Catch warnings
         with warnings.catch_warnings():
-
             warnings.filterwarnings("ignore", category=RuntimeWarning)
 
             # Pass an argument for functions that require it (nanpercentile, percentile, quantile and nanquantile) and
@@ -3754,7 +3734,6 @@ def test_array_functions_2nin(
 
         # Catch warnings
         with warnings.catch_warnings():
-
             warnings.filterwarnings("ignore", category=RuntimeWarning)
 
             # Compute outputs
diff --git a/tests/test_satimg.py b/tests/test_satimg.py
index ca779aa77..53b34c1f3 100644
--- a/tests/test_satimg.py
+++ b/tests/test_satimg.py
@@ -17,7 +17,6 @@
 
 
 class TestSatelliteImage:
-
     landsat_b4 = examples.get_path("everest_landsat_b4")
     aster_dem = examples.get_path("exploradores_aster_dem")
 
@@ -201,7 +200,6 @@ def test_filename_parsing(self) -> None:
             assert datetimes[i] == attrs[5]
 
     def test_sw_tile_naming_parsing(self) -> None:
-
         # normal examples
         test_tiles = ["N14W065", "S14E065", "N014W065", "W065N014", "W065N14", "N00E000"]
         test_latlon = [(14, -65), (-14, 65), (14, -65), (14, -65), (14, -65), (0, 0)]
diff --git a/tests/test_vector.py b/tests/test_vector.py
index 91a49ed6b..3a2c987a9 100644
--- a/tests/test_vector.py
+++ b/tests/test_vector.py
@@ -1,12 +1,12 @@
 from __future__ import annotations
 
+import inspect
 import os.path
 import pathlib
 import re
-import inspect
 import tempfile
-from tempfile import NamedTemporaryFile
 import warnings
+from tempfile import NamedTemporaryFile
 
 import geopandas as gpd
 import geopandas.base
@@ -15,12 +15,12 @@
 import pytest
 import shapely
 from geopandas.testing import assert_geodataframe_equal, assert_geoseries_equal
+from pandas.testing import assert_series_equal
 from scipy.ndimage import binary_erosion
 from shapely.geometry.linestring import LineString
 from shapely.geometry.multilinestring import MultiLineString
 from shapely.geometry.multipolygon import MultiPolygon
 from shapely.geometry.polygon import Polygon
-from pandas.testing import assert_series_equal
 
 import geoutils as gu
 
@@ -28,7 +28,6 @@
 
 
 class TestVector:
-
     landsat_b4_crop_path = gu.examples.get_path("everest_landsat_b4_cropped")
     everest_outlines_path = gu.examples.get_path("everest_rgi_outlines")
     aster_dem_path = gu.examples.get_path("exploradores_aster_dem")
@@ -60,7 +59,6 @@ def test_init(self) -> None:
             gu.Vector(1)  # type: ignore
 
     def test_copy(self) -> None:
-
         vector2 = self.glacier_outlines.copy()
 
         assert vector2 is not self.glacier_outlines
@@ -70,7 +68,6 @@ def test_copy(self) -> None:
         assert vector2.ds.shape[0] < self.glacier_outlines.ds.shape[0]
 
     def test_query(self) -> None:
-
         vector2 = self.glacier_outlines.query("NAME == 'Ayerbreen'")
 
         assert vector2 is not self.glacier_outlines
@@ -95,9 +92,7 @@ def test_save(self) -> None:
         vector_save = gu.Vector(temp_file.name)
         vector_save.vector_equal(vector)
 
-
     def test_bounds(self) -> None:
-
         bounds = self.glacier_outlines.bounds
 
         assert bounds.left < bounds.right
@@ -151,7 +146,6 @@ def test_reproject(self) -> None:
             v0.reproject(dst_ref=10)  # type: ignore
 
     def test_rasterize_proj(self) -> None:
-
         # Capture the warning on resolution not matching exactly bounds
         with pytest.warns(UserWarning):
             burned = self.glacier_outlines.rasterize(xres=3000)
@@ -196,7 +190,6 @@ def test_rasterize_unproj(self) -> None:
 
     @pytest.mark.parametrize("data", test_data)  # type: ignore
     def test_crop(self, data: list[str]) -> None:
-
         # Load data
         raster_path, outlines_path = data
         rst = gu.Raster(raster_path)
@@ -275,7 +268,6 @@ def test_proximity(self) -> None:
 
 
 class TestSynthetic:
-
     # Create a synthetic vector file with a square of size 1, started at position (10, 10)
     poly1 = Polygon([(10, 10), (11, 10), (11, 11), (10, 11)])
     gdf = gpd.GeoDataFrame({"geometry": [poly1]}, crs="EPSG:4326")
@@ -559,7 +551,6 @@ def test_buffer_without_overlap(self, monkeypatch) -> None:  # type: ignore
 
 
 class TestGeoPandasMethods:
-
     # Use two synthetic vectors
     poly = Polygon([(10, 10), (11, 10), (11, 11), (10, 11)])
     gdf1 = gpd.GeoDataFrame({"geometry": [poly]}, crs="EPSG:4326")
@@ -577,14 +568,45 @@ class TestGeoPandasMethods:
     # Properties and methods derived from Shapely or GeoPandas
     # List of properties and methods with non-geometric output that are implemented in GeoUtils
     nongeo_properties = ["area", "length", "interiors", "geom_type", "is_empty", "is_ring", "is_simple"]
-    nongeo_methods = ["contains", "geom_equals", "geom_almost_equals", "crosses", "disjoint", "intersects",
-                            "overlaps", "touches", "within", "covers", "covered_by", "distance"]
+    nongeo_methods = [
+        "contains",
+        "geom_equals",
+        "geom_almost_equals",
+        "crosses",
+        "disjoint",
+        "intersects",
+        "overlaps",
+        "touches",
+        "within",
+        "covers",
+        "covered_by",
+        "distance",
+    ]
 
     # List of properties and methods with geometric output that are implemented in GeoUtils
     geo_properties = ["boundary", "unary_union", "centroid", "convex_hull", "envelope", "exterior"]
-    geo_methods = ["representative_point", "normalize", "make_valid", "difference", "symmetric_difference", "union",
-                             "intersection", "clip_by_rect", "buffer", "simplify", "affine_transform", "translate", "rotate",
-                             "scale", "skew", "dissolve", "explode", "sjoin", "sjoin_nearest", "overlay"]
+    geo_methods = [
+        "representative_point",
+        "normalize",
+        "make_valid",
+        "difference",
+        "symmetric_difference",
+        "union",
+        "intersection",
+        "clip_by_rect",
+        "buffer",
+        "simplify",
+        "affine_transform",
+        "translate",
+        "rotate",
+        "scale",
+        "skew",
+        "dissolve",
+        "explode",
+        "sjoin",
+        "sjoin_nearest",
+        "overlay",
+    ]
 
     # List of other properties and methods
     other = ["has_sindex", "sindex"]
@@ -593,14 +615,15 @@ class TestGeoPandasMethods:
     # Get all GeoPandasBase public methods with some exceptions
     geobase_methods = gpd.base.GeoPandasBase.__dict__.copy()
     # exceptions_geobase = ["plot", "explore", "equals"]
-    # geobase_methods = {key: geobase_methods[key] for key in geobase_methods if key[0] != "_" and key not in exceptions_geobase}
+    # geobase_methods = {key: geobase_methods[key] for key in geobase_methods if key[0] != "_"
+    # and key not in exceptions_geobase}
 
     # Get all GeoDataFrame public methods with some exceptions
     gdf_methods = gpd.GeoDataFrame.__dict__.copy()
     # exceptions_gdf = ["total_bounds"]
     # gdf_methods = {key: gdf_methods[key] for key in gdf_methods if key[0] != "_" and key not in exceptions_gdf}
 
-    def test_overriden_funcs_exist(self) -> None:
+    def test_overridden_funcs_exist(self) -> None:
         """Check that all methods listed above exist in Vector."""
 
         # Check that all methods declared in the class above exist in Vector
@@ -609,7 +632,7 @@ def test_overriden_funcs_exist(self) -> None:
         assert all(method in vector_methods.keys() for method in self.all_declared)
 
     def test_geopandas_coverage(self) -> None:
-        """Check that all existing methods of GeoPandas are overriden, with a couple exceptions."""
+        """Check that all existing methods of GeoPandas are overridden, with a couple exceptions."""
 
         # Merge the two
         all_methods = self.geobase_methods.copy()
@@ -620,12 +643,12 @@ def test_geopandas_coverage(self) -> None:
         try:
             assert len(list_missing) == 0
         except AssertionError:
-            print('Missing methods from GeoPandas:')
+            print("Missing methods from GeoPandas:")
             print(list_missing)
 
     @pytest.mark.parametrize("method", nongeo_methods + geo_methods)  # type: ignore
-    def test_overriden_funcs_args(self, method: str) -> None:
-        """Check that all methods overriden have the same arguments as in GeoPandas."""
+    def test_overridden_funcs_args(self, method: str) -> None:
+        """Check that all methods overridden have the same arguments as in GeoPandas."""
 
         # Get GeoPandas class where the methods live
         if method in self.geobase_methods.keys():
@@ -647,8 +670,8 @@ def test_overriden_funcs_args(self, method: str) -> None:
         # Check that default argument values are the same
         assert argspec_upstream.defaults == argspec_geoutils.defaults
 
-    @pytest.mark.parametrize("vector", [synthvec1, synthvec2, realvec1, realvec2]) # type: ignore
-    @pytest.mark.parametrize("method", nongeo_properties) # type: ignore
+    @pytest.mark.parametrize("vector", [synthvec1, synthvec2, realvec1, realvec2])  # type: ignore
+    @pytest.mark.parametrize("method", nongeo_properties)  # type: ignore
     def test_nongeo_properties(self, vector: gu.Vector, method: str) -> None:
         """Check non-geometric properties are consistent with GeoPandas."""
 
@@ -663,9 +686,9 @@ def test_nongeo_properties(self, vector: gu.Vector, method: str) -> None:
         # Assert equality
         assert_series_equal(output_geoutils, output_geopandas)
 
-    @pytest.mark.parametrize("vector1", [synthvec1, realvec1]) # type: ignore
-    @pytest.mark.parametrize("vector2", [synthvec2, realvec2]) # type: ignore
-    @pytest.mark.parametrize("method", nongeo_methods) # type: ignore
+    @pytest.mark.parametrize("vector1", [synthvec1, realvec1])  # type: ignore
+    @pytest.mark.parametrize("vector2", [synthvec2, realvec2])  # type: ignore
+    @pytest.mark.parametrize("method", nongeo_methods)  # type: ignore
     def test_nongeo_methods(self, vector1: gu.Vector, vector2: gu.Vector, method: str) -> None:
         """
         Check non-geometric methods are consistent with GeoPandas.
@@ -705,19 +728,27 @@ def test_geo_properties(self, vector: gu.Vector, method: str) -> None:
             # Assert geoseries equality
             assert_geoseries_equal(output_geoutils.ds.geometry, output_geopandas)
         elif isinstance(output_geopandas, shapely.Geometry):
-            assert_geodataframe_equal(output_geoutils.ds, gpd.GeoDataFrame({"geometry": [output_geopandas]}, crs=vector.crs))
+            assert_geodataframe_equal(
+                output_geoutils.ds, gpd.GeoDataFrame({"geometry": [output_geopandas]}, crs=vector.crs)
+            )
         else:
             assert_geodataframe_equal(output_geoutils.ds, output_geopandas)
 
-
-    specific_method_args = {"buffer": {"distance": 1}, "clip_by_rect": {"xmin": 10.5, "ymin": 10.5, "xmax": 11, "ymax": 11},
-                     "affine_transform": {"matrix": [1, 1, 1, 1, 1, 1]}, "translate": {"xoff": 1, "yoff": 1, "zoff": 0},
-                     "rotate": {"angle": 90}, "scale": {"xfact": 1.1, "yfact": 1.1, "zfact": 1.1, "origin": "center"},
-                     "skew": {"xs": 1.1, "ys": 1.1}, "interpolate": {"distance": 1}, "simplify": {"tolerance": 0.1}}
-
-    @pytest.mark.parametrize("vector1", [synthvec1, realvec1]) # type: ignore
-    @pytest.mark.parametrize("vector2", [synthvec2, realvec2]) # type: ignore
-    @pytest.mark.parametrize("method", geo_methods) # type: ignore
+    specific_method_args = {
+        "buffer": {"distance": 1},
+        "clip_by_rect": {"xmin": 10.5, "ymin": 10.5, "xmax": 11, "ymax": 11},
+        "affine_transform": {"matrix": [1, 1, 1, 1, 1, 1]},
+        "translate": {"xoff": 1, "yoff": 1, "zoff": 0},
+        "rotate": {"angle": 90},
+        "scale": {"xfact": 1.1, "yfact": 1.1, "zfact": 1.1, "origin": "center"},
+        "skew": {"xs": 1.1, "ys": 1.1},
+        "interpolate": {"distance": 1},
+        "simplify": {"tolerance": 0.1},
+    }
+
+    @pytest.mark.parametrize("vector1", [synthvec1, realvec1])  # type: ignore
+    @pytest.mark.parametrize("vector2", [synthvec2, realvec2])  # type: ignore
+    @pytest.mark.parametrize("method", geo_methods)  # type: ignore
     def test_geo_methods(self, vector1: gu.Vector, vector2: gu.Vector, method: str) -> None:
         """Check geometric properties are consistent with GeoPandas."""
 
@@ -726,7 +757,15 @@ def test_geo_methods(self, vector1: gu.Vector, vector2: gu.Vector, method: str)
         warnings.simplefilter("ignore", category=FutureWarning)
 
         # Methods that require two inputs
-        if method in ["difference", "symmetric_difference", "union", "intersection", "sjoin", "sjoin_nearest", "overlay"]:
+        if method in [
+            "difference",
+            "symmetric_difference",
+            "union",
+            "intersection",
+            "sjoin",
+            "sjoin_nearest",
+            "overlay",
+        ]:
             output_geoutils = getattr(vector1, method)(vector2)
             output_geopandas = getattr(vector1.ds, method)(vector2.ds)
         # Methods that require zero input
@@ -737,14 +776,14 @@ def test_geo_methods(self, vector1: gu.Vector, vector2: gu.Vector, method: str)
             output_geoutils = getattr(vector1, method)(**self.specific_method_args[method])
             output_geopandas = getattr(vector1.ds, method)(**self.specific_method_args[method])
         else:
-            raise ValueError("The method '{}' is not covered by this test.".format(method))
+            raise ValueError(f"The method '{method}' is not covered by this test.")
 
         # Assert output types
         assert isinstance(output_geoutils, gu.Vector)
         assert isinstance(output_geopandas, (gpd.GeoSeries, gpd.GeoDataFrame))
 
         # Separate cases depending on GeoPandas' output, and nature of the function
-        # Simplify is a special case that can make geometries unvalid, so adjust test
+        # Simplify is a special case that can make geometries invalid, so adjust test
         if method == "simplify":
             assert_geoseries_equal(output_geopandas.make_valid(), output_geoutils.ds.geometry.make_valid())
         # For geoseries output, check equality of it
@@ -752,4 +791,4 @@ def test_geo_methods(self, vector1: gu.Vector, vector2: gu.Vector, method: str)
             assert_geoseries_equal(output_geoutils.ds.geometry, output_geopandas)
         # For geodataframe output, check equality
         else:
-            assert_geodataframe_equal(output_geoutils.ds, output_geopandas)
\ No newline at end of file
+            assert_geodataframe_equal(output_geoutils.ds, output_geopandas)

From 605a3cee7bdaa0ffdf40fe40426963ab5cdcc4a9 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 20 Mar 2023 23:08:49 -0700
Subject: [PATCH 127/184] Fix misc description

---
 geoutils/misc.py | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/geoutils/misc.py b/geoutils/misc.py
index 50453755c..dabbea74d 100644
--- a/geoutils/misc.py
+++ b/geoutils/misc.py
@@ -84,9 +84,7 @@ def copy_doc(
 ) -> Callable:  # type: ignore
     """
     A decorator to copy docstring from a class to another class while replacing the docstring.
-    ----------
-    **params
-        The classes used to reformat docstring template.
+    Use for parsing GeoPandas' documentation to geoutils.Vector.
     """
 
     def decorator(decorated: Callable) -> Callable:  # type: ignore

From db1d77a3ccaa7abd3859ab57a61fbfce2ccea884 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 20 Mar 2023 23:09:14 -0700
Subject: [PATCH 128/184] Update pre-commit

---
 .pre-commit-config.yaml | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index dc0f3c23b..8362c44d6 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -44,19 +44,19 @@ repos:
                   files: ^(geoutils|tests)
         # Lint the code using mypy
         - repo: https://github.com/pre-commit/mirrors-mypy
-          rev: v0.982
+          rev: v1.1.1
           hooks:
                 - id: mypy
                   args: [
                         --strict,
-                        --implicit-optional,
                         --ignore-missing-imports,  # Don't warn about stubs since pre-commit runs in a limited env
                         --allow-untyped-calls,  # Dynamic function/method calls are okay. Untyped function definitions are not okay.
                         --show-error-codes,
                         --no-warn-unused-ignores,  # Ignore 'type: ignore' comments that are not used.
                         --disable-error-code=attr-defined,  # "Module has no attribute 'XXX'" occurs because of the pre-commit env.
-                        --disable-error-code=name-defined  # "Name 'XXX' is not defined" occurs because of the pre-commit env.
-
+                        --disable-error-code=name-defined,  # "Name 'XXX' is not defined" occurs because of the pre-commit env.
+                        --disable-error-code=var-annotated,
+                        --disable-error-code=no-any-return
                   ]
                   additional_dependencies: [tokenize-rt==3.2.0]
                   files: ^(geoutils|tests)

From 48d975816bf6d5b90c2085225c945d6a0b46db5c Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Tue, 21 Mar 2023 15:46:50 -0700
Subject: [PATCH 129/184] Remove not implemented geopandas functions

---
 doc/source/api.md | 2 --
 1 file changed, 2 deletions(-)

diff --git a/doc/source/api.md b/doc/source/api.md
index 3124faea7..731a04f70 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -422,8 +422,6 @@ Otherwise, calling the method from {attr}`Vector.ds<geoutils.Vector.ds>`, they r
     Vector.covers
     Vector.covered_by
     Vector.distance
-    Vector.relate
-    Vector.project
 ```
 
 #### Other attributes and methods

From 67956935503eeaf34486d7340f18e6aaacdf0fca Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 22 Mar 2023 15:05:27 -0700
Subject: [PATCH 130/184] Wrap I/O geopandas method and fix tests

---
 doc/source/api.md    |  34 ++++++++
 geoutils/vector.py   | 200 +++++++++++++++++++++++++++++++++++++++----
 tests/test_vector.py |  62 ++++++++++----
 3 files changed, 260 insertions(+), 36 deletions(-)

diff --git a/doc/source/api.md b/doc/source/api.md
index 731a04f70..14ad5cdec 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -377,6 +377,12 @@ Otherwise, calling the method from {attr}`Vector.ds<geoutils.Vector.ds>`, they r
     Vector.sjoin
     Vector.sjoin_nearest
     Vector.overlay
+    Vector.clip
+    Vector.to_crs
+    Vector.set_crs
+    Vector.set_geometry
+    Vector.rename_geometry
+    Vector.cx
 ```
 
 #### Non-geometric per-feature attributes and methods
@@ -397,6 +403,7 @@ Otherwise, calling the method from {attr}`Vector.ds<geoutils.Vector.ds>`, they r
     Vector.interiors
     Vector.geom_type
     Vector.geom_bounds
+    Vector.is_valid
     Vector.is_empty
     Vector.is_ring
     Vector.is_simple
@@ -424,6 +431,33 @@ Otherwise, calling the method from {attr}`Vector.ds<geoutils.Vector.ds>`, they r
     Vector.distance
 ```
 
+
+#### I/O, conversions and others
+
+```{important}
+The behaviour of methods below is not modified in {class}`~geoutils.Vector`, as they deal with outputs of different types. 
+To ensure those are up-to-date with GeoPandas, alternatively call those from {attr}`Vector.ds<geoutils.Vector.ds>`.
+```
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
+    Vector.from_file
+    Vector.from_features
+    Vector.from_postgis
+    Vector.from_dict
+    Vector.to_file
+    Vector.to_feather
+    Vector.to_parquet
+    Vector.to_wkt
+    Vector.to_wkb
+    Vector.to_json
+    Vector.to_postgis
+    Vector.to_csv
+```
+
+
 #### Other attributes and methods
 
 
diff --git a/geoutils/vector.py b/geoutils/vector.py
index be2dba661..d09548bd6 100644
--- a/geoutils/vector.py
+++ b/geoutils/vector.py
@@ -8,7 +8,8 @@
 import warnings
 from collections import abc
 from numbers import Number
-from typing import Any, Literal, TypeVar, overload
+from typing import Any, Literal, TypeVar, overload, Generator, Iterable, Sequence, Hashable
+from os import PathLike
 
 import fiona
 import geopandas as gpd
@@ -16,6 +17,7 @@
 import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd
+from pandas._typing import WriteBuffer, ReadBuffer
 import rasterio as rio
 import rasterio.errors
 import shapely
@@ -338,6 +340,11 @@ def is_ring(self) -> pd.Series:
     def is_simple(self) -> pd.Series:
         return self._override_gdf_output(self.ds.is_simple)
 
+    @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)  # type: ignore
+    @property
+    def is_valid(self) -> pd.Series:
+        return self._override_gdf_output(self.ds.is_valid)
+
     @copy_doc(gpd.GeoSeries, "Vector", replace_return_series_statement=True)  # type: ignore
     @property
     def has_z(self) -> pd.Series:
@@ -549,23 +556,6 @@ def skew(self, xs: float = 0.0, ys: float = 0.0, origin: str = "center", use_rad
     # GeoDataFrame - Methods that return a GeoSeries
     # ----------------------------------------------
 
-    def __getitem__(self, key: gu.Raster | Vector | list[float] | tuple[float, ...] | Any) -> Vector:
-        """
-        Index the geodataframe or crop the vector.
-
-        If a raster, vector or tuple is passed, crops to its bounds.
-        Otherwise, indexes the geodataframe.
-        """
-
-        if isinstance(key, (gu.Raster, Vector)):
-            return self.crop(crop_geom=key, clip=False, inplace=False)
-        else:
-            return self._override_gdf_output(self.ds.__getitem__(key))
-
-    @copy_doc(gpd.GeoDataFrame, "Vector")
-    def __setitem__(self, key: Any, value: Any) -> None:
-        self.ds.__setitem__(key, value)
-
     @copy_doc(gpd.GeoDataFrame, "Vector")
     def dissolve(
         self,
@@ -591,6 +581,10 @@ def explode(
             self.ds.explode(column=column, ignore_index=ignore_index, index_parts=index_parts, **kwargs)
         )
 
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def clip(self, mask: Any, keep_geom_type: bool = False) -> Vector:
+        return self._override_gdf_output(self.ds.clip(mask=mask, keep_geom_type=keep_geom_type))
+
     @copy_doc(gpd.GeoDataFrame, "Vector")
     def sjoin(self, df: Vector | gpd.GeoDataFrame, *args: Any, **kwargs: Any) -> Vector:
         # Ensure input is a geodataframe
@@ -646,6 +640,176 @@ def overlay(
             self.ds.overlay(right=gdf, how=how, keep_geom_type=keep_geom_type, make_valid=make_valid)
         )
 
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def to_crs(self, crs: CRS | None = None, epsg: int | None = None, inplace: bool = False) -> Vector | None:
+
+        if inplace:
+            self.ds = self.ds.to_crs(crs=crs, epsg=epsg)
+        else:
+            return self._override_gdf_output(self.ds.to_crs(crs=crs, epsg=epsg))
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def set_crs(self, crs: CRS | None = None, epsg: int | None = None, inplace: bool = False, allow_override: bool = False) -> Vector | None:
+
+        if inplace:
+            self.ds = self.ds.set_crs(crs=crs, epsg=epsg, allow_override=allow_override)
+        else:
+            return self._override_gdf_output(self.ds.set_crs(crs=crs, epsg=epsg, allow_override=allow_override))
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def set_geometry(self, col: str, drop: bool = False, inplace: bool = False, crs: CRS = None) -> Vector | None:
+
+        if inplace:
+            self.ds = self.ds.set_geometry(col=col, drop=drop, crs=crs)
+        else:
+            return self._override_gdf_output(self.ds.set_geometry(col=col, drop=drop, crs=crs))
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def rename_geometry(self, col: str, inplace: bool = False) -> Vector | None:
+
+        if inplace:
+            self.ds = self.ds.set_geometry(col=col)
+        else:
+            return self._override_gdf_output(self.ds.rename_geometry(col=col))
+
+    # -----------------------------------
+    # GeoDataFrame: other functionalities
+    # -----------------------------------
+
+    def __getitem__(self, key: gu.Raster | Vector | list[float] | tuple[float, ...] | Any) -> Vector:
+        """
+        Index the geodataframe or crop the vector.
+
+        If a raster, vector or tuple is passed, crops to its bounds.
+        Otherwise, indexes the geodataframe.
+        """
+
+        if isinstance(key, (gu.Raster, Vector)):
+            return self.crop(crop_geom=key, clip=False, inplace=False)
+        else:
+            return self._override_gdf_output(self.ds.__getitem__(key))
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def __setitem__(self, key: Any, value: Any) -> None:
+        self.ds.__setitem__(key, value)
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def cx(self) -> Vector:
+        return self._override_gdf_output(self.ds.cx)
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def estimate_utm_crs(self, datum_name: str = "WGS 84") -> CRS:
+
+        return self.ds.estimate_utm_crs(datum_name=datum_name)
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def iterfeatures(self, na: str | None = "null", show_bbox: bool = False, drop_id: bool = False) -> Generator[dict[str, str | dict | None | dict], Any, Any]:
+
+        return self.ds.iterfeatures(na=na, show_bbox=show_bbox, drop_id=drop_id)
+
+    @classmethod
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def from_file(cls, filename: str, **kwargs: Any) -> Vector:
+
+        return cls(gpd.GeoDataFrame.from_file(filename=filename, **kwargs))
+
+    @classmethod
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def from_features(cls, features: Iterable[dict[str, Any]], crs: CRS, columns: list[str]) -> Vector:
+
+        return cls(gpd.GeoDataFrame.from_features(features=features, crs=crs, columns=columns))
+
+    @classmethod
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def from_postgis(cls, sql: str, con: Any, geom_col: str = "geom", crs: CRS | None = None, index_col: str | None = None,
+                     coerce_float: bool = True, parse_dates: Any = None, params: Any = None, chunksize: Any = None) -> Vector:
+
+        return cls(gpd.GeoDataFrame.from_postgis(sql=sql, con=con, geom_col=geom_col, crs=crs, index_col=index_col, coerce_float=coerce_float,
+                                                 parse_dates=parse_dates, params=params, chunksize=chunksize))
+
+    @classmethod
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def from_dict(cls, data: dict[str, Any], geometry: Any = None, crs: CRS | None = None, **kwargs: Any) -> Vector:
+
+        return cls(gpd.GeoDataFrame.from_dict(data=data, geometry=geometry, crs=crs, **kwargs))
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def to_file(self, filename: str,
+            driver: Any = None,
+            schema: Any = None,
+            index: Any = None,
+            **kwargs: Any) -> None:
+
+        return self.ds.to_file(filename=filename, driver=driver, schema=schema, index=index, **kwargs)
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def to_feather(self, path: Any, index: Any = None, compression: Any = None, schema_version: Any = None, **kwargs: Any) -> None:
+
+        return self.ds.to_feather(path=path, index=index, compression=compression, schema_version=schema_version, **kwargs)
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def to_parquet(self, path: Any, index: Any = None, compression: Any = "snappy", schema_version: Any = None, **kwargs: Any) -> None:
+
+        return self.ds.to_parquet(path=path, index=index, compression=compression, schema_version=schema_version, **kwargs)
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def to_wkt(self, **kwargs: Any) -> pd.DataFrame:
+
+        return self.ds.to_wkt(**kwargs)
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def to_wkb(self, hex: bool = False, **kwargs: Any) -> pd.DataFrame:
+
+        return self.ds.to_wkb(hex=hex, **kwargs)
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def to_json(self, na: Any = "null", show_bbox: bool =False, drop_id: bool = False, **kwargs: Any) -> str | None:
+
+        return self.ds.to_json(na=na, show_bbox=show_bbox, drop_id=drop_id, **kwargs)
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def to_postgis(self, name: str,
+               con: Any,
+               schema: Any = None,
+               if_exists: Any = "fail",
+               index: Any = False,
+               index_label: Any = None,
+               chunksize: Any = None,
+               dtype: Any = None) -> None:
+
+        return self.ds.to_postgis(name=name, con=con, schema=schema, if_exists=if_exists, index=index,
+                                  index_label=index_label, chunksize=chunksize, dtype=dtype)
+
+    @copy_doc(gpd.GeoDataFrame, "Vector")
+    def to_csv(self,
+        path_or_buf: str | PathLike[str] | WriteBuffer[bytes] | WriteBuffer[str] | None = None,
+        sep: str = ",",
+        na_rep: str = "",
+        float_format: Any = None,
+        columns: Sequence[Hashable] | None = None,
+        header: bool | list[str] = True,
+        index: bool = True,
+        index_label: Hashable | Sequence[Hashable] | None = None,
+        mode: str = "w",
+        encoding: str | None = None,
+        compression: Literal["infer", "gzip", "bz2", "zip", "xz", "zstd", "tar"] | dict[str, Any] | None = "infer",
+        quoting: int | None = None,
+        quotechar: str = '\"',
+        lineterminator: str | None = None,
+        chunksize: int | None = None,
+        date_format: str | None = None,
+        doublequote: bool = True,
+        escapechar: str | None = None,
+        decimal: str = ".",
+        errors: str = "strict",
+        storage_options: dict[str, Any] | None = None
+               ) -> str | None:
+
+        return self.ds.to_csv(path_or_buf=path_or_buf, sep=sep, na_rep=na_rep, float_format=float_format, columns=columns, header=header,
+                              index=index, index_label=index_label, mode=mode, encoding=encoding, compression=compression, quoting=quoting,
+                              quotechar=quotechar, lineterminator=lineterminator, chunksize=chunksize, date_format=date_format,
+                              doublequote=doublequote, escapechar=escapechar, decimal=decimal, errors=errors, storage_options=storage_options)
+
     # --------------------------------
     # End of GeoPandas functionalities
     # --------------------------------
diff --git a/tests/test_vector.py b/tests/test_vector.py
index 3a2c987a9..98f44a950 100644
--- a/tests/test_vector.py
+++ b/tests/test_vector.py
@@ -12,6 +12,7 @@
 import geopandas.base
 import matplotlib.pyplot as plt
 import numpy as np
+import pyproj
 import pytest
 import shapely
 from geopandas.testing import assert_geodataframe_equal, assert_geoseries_equal
@@ -567,11 +568,13 @@ class TestGeoPandasMethods:
 
     # Properties and methods derived from Shapely or GeoPandas
     # List of properties and methods with non-geometric output that are implemented in GeoUtils
-    nongeo_properties = ["area", "length", "interiors", "geom_type", "is_empty", "is_ring", "is_simple"]
+    main_properties = ["crs", "geometry", "total_bounds"]
+    nongeo_properties = ["area", "length", "interiors", "geom_type", "is_empty", "is_ring", "is_simple", "is_valid", "has_z"]
     nongeo_methods = [
         "contains",
         "geom_equals",
         "geom_almost_equals",
+        "geom_equals_exact",
         "crosses",
         "disjoint",
         "intersects",
@@ -606,22 +609,31 @@ class TestGeoPandasMethods:
         "sjoin",
         "sjoin_nearest",
         "overlay",
+        "to_crs",
+        "set_crs",
+        "rename_geometry",
+        "set_geometry",
+        "clip"
     ]
+    # List of class methods
+    io_methods = ["from_file", "from_postgis", "from_dict", "from_features", "to_feather",
+                 "to_parquet", "to_file", "to_postgis", "to_json", "to_wkb", "to_wkt", "to_csv"]
 
     # List of other properties and methods
-    other = ["has_sindex", "sindex"]
-    all_declared = nongeo_methods + nongeo_properties + geo_methods + geo_properties + other
+    other = ["has_sindex", "sindex", "estimate_utm_crs", "cx", "iterfeatures"]
+    all_declared = main_properties + nongeo_methods + nongeo_properties + geo_methods + geo_properties + other + io_methods
+
+    # Exceptions for GeoPandasBase functions not implemented (or deprecrated) in GeoSeries/GeoDataFrame
+    exceptions_unimplemented = ["plot", "explore", "cascaded_union", "bounds", "relate", "project", "interpolate", "equals", "type", "convert_dtypes",
+                                "merge", "apply", "astype"]
+    # Exceptions for IO/conversion that can be done directly from .ds
+    all_exceptions = exceptions_unimplemented
 
     # Get all GeoPandasBase public methods with some exceptions
     geobase_methods = gpd.base.GeoPandasBase.__dict__.copy()
-    # exceptions_geobase = ["plot", "explore", "equals"]
-    # geobase_methods = {key: geobase_methods[key] for key in geobase_methods if key[0] != "_"
-    # and key not in exceptions_geobase}
 
     # Get all GeoDataFrame public methods with some exceptions
     gdf_methods = gpd.GeoDataFrame.__dict__.copy()
-    # exceptions_gdf = ["total_bounds"]
-    # gdf_methods = {key: gdf_methods[key] for key in gdf_methods if key[0] != "_" and key not in exceptions_gdf}
 
     def test_overridden_funcs_exist(self) -> None:
         """Check that all methods listed above exist in Vector."""
@@ -629,7 +641,9 @@ def test_overridden_funcs_exist(self) -> None:
         # Check that all methods declared in the class above exist in Vector
         vector_methods = gu.Vector.__dict__
 
-        assert all(method in vector_methods.keys() for method in self.all_declared)
+        list_missing = [method for method in self.all_declared if method not in vector_methods.keys()]
+
+        assert len(list_missing) == 0, print("Test method listed that is not in GeoUtils: {}".format(list_missing))
 
     def test_geopandas_coverage(self) -> None:
         """Check that all existing methods of GeoPandas are overridden, with a couple exceptions."""
@@ -638,13 +652,16 @@ def test_geopandas_coverage(self) -> None:
         all_methods = self.geobase_methods.copy()
         all_methods.update(self.gdf_methods)
 
+        # Remove exceptions we don't want to reuse from GeoPandas (mirrored in Vector)
+        name_all_methods = list(all_methods.keys())
+        public_methods = [method for method in name_all_methods if method[0] != "_"]
+
+        covered_methods = [method for method in public_methods if method not in self.all_exceptions]
+
         # Check that all methods declared in the class above are covered in Vector
-        list_missing = [method for method in all_methods.keys() if method not in self.all_declared]
-        try:
-            assert len(list_missing) == 0
-        except AssertionError:
-            print("Missing methods from GeoPandas:")
-            print(list_missing)
+        list_missing = [method for method in covered_methods if method not in self.all_declared]
+
+        assert len(list_missing) == 0, print("Missing methods from GeoPandas: {}".format(list_missing))
 
     @pytest.mark.parametrize("method", nongeo_methods + geo_methods)  # type: ignore
     def test_overridden_funcs_args(self, method: str) -> None:
@@ -692,7 +709,7 @@ def test_nongeo_properties(self, vector: gu.Vector, method: str) -> None:
     def test_nongeo_methods(self, vector1: gu.Vector, vector2: gu.Vector, method: str) -> None:
         """
         Check non-geometric methods are consistent with GeoPandas.
-        All these methods require two inputs ("other", "df", or "right" argument).
+        All these methods require two inputs ("other", "df", or "right" argument), except one.
         """
 
         # Remove warnings about operations in a non-projected system, and future changes
@@ -700,8 +717,12 @@ def test_nongeo_methods(self, vector1: gu.Vector, vector2: gu.Vector, method: st
         warnings.simplefilter("ignore", category=FutureWarning)
 
         # Get method for each class
-        output_geoutils = getattr(vector1, method)(vector2)
-        output_geopandas = getattr(vector1.ds, method)(vector2.ds)
+        if method != "geom_equals_exact":
+            output_geoutils = getattr(vector1, method)(vector2)
+            output_geopandas = getattr(vector1.ds, method)(vector2.ds)
+        else:
+            output_geoutils = getattr(vector1, method)(vector2, tolerance=0.1)
+            output_geopandas = getattr(vector1.ds, method)(vector2.ds, tolerance=0.1)
 
         # Assert equality
         assert_series_equal(output_geoutils, output_geopandas)
@@ -744,6 +765,11 @@ def test_geo_properties(self, vector: gu.Vector, method: str) -> None:
         "skew": {"xs": 1.1, "ys": 1.1},
         "interpolate": {"distance": 1},
         "simplify": {"tolerance": 0.1},
+        "to_crs": {"crs": pyproj.CRS.from_epsg(32610)},
+        "set_crs": {"crs": pyproj.CRS.from_epsg(32610), "allow_override": True},
+        "rename_geometry": {"col": "lol"},
+        "set_geometry": {"col": synthvec1.geometry},
+        "clip": {"mask": poly}
     }
 
     @pytest.mark.parametrize("vector1", [synthvec1, realvec1])  # type: ignore

From 244bfe52a371b3d257873eaee1f22c109b558ca7 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 22 Mar 2023 15:08:04 -0700
Subject: [PATCH 131/184] Linting

---
 doc/source/api.md    |   2 +-
 geoutils/vector.py   | 149 ++++++++++++++++++++++++++++++++-----------
 tests/test_vector.py |  57 ++++++++++++++---
 3 files changed, 159 insertions(+), 49 deletions(-)

diff --git a/doc/source/api.md b/doc/source/api.md
index 14ad5cdec..b46a132ec 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -435,7 +435,7 @@ Otherwise, calling the method from {attr}`Vector.ds<geoutils.Vector.ds>`, they r
 #### I/O, conversions and others
 
 ```{important}
-The behaviour of methods below is not modified in {class}`~geoutils.Vector`, as they deal with outputs of different types. 
+The behaviour of methods below is not modified in {class}`~geoutils.Vector`, as they deal with outputs of different types.
 To ensure those are up-to-date with GeoPandas, alternatively call those from {attr}`Vector.ds<geoutils.Vector.ds>`.
 ```
 
diff --git a/geoutils/vector.py b/geoutils/vector.py
index d09548bd6..c18249d06 100644
--- a/geoutils/vector.py
+++ b/geoutils/vector.py
@@ -8,8 +8,17 @@
 import warnings
 from collections import abc
 from numbers import Number
-from typing import Any, Literal, TypeVar, overload, Generator, Iterable, Sequence, Hashable
 from os import PathLike
+from typing import (
+    Any,
+    Generator,
+    Hashable,
+    Iterable,
+    Literal,
+    Sequence,
+    TypeVar,
+    overload,
+)
 
 import fiona
 import geopandas as gpd
@@ -17,12 +26,12 @@
 import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd
-from pandas._typing import WriteBuffer, ReadBuffer
 import rasterio as rio
 import rasterio.errors
 import shapely
 from geopandas.testing import assert_geodataframe_equal
 from mpl_toolkits.axes_grid1 import make_axes_locatable
+from pandas._typing import WriteBuffer
 from rasterio import features, warp
 from rasterio.crs import CRS
 from scipy.spatial import Voronoi
@@ -645,14 +654,18 @@ def to_crs(self, crs: CRS | None = None, epsg: int | None = None, inplace: bool
 
         if inplace:
             self.ds = self.ds.to_crs(crs=crs, epsg=epsg)
+            return None
         else:
             return self._override_gdf_output(self.ds.to_crs(crs=crs, epsg=epsg))
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
-    def set_crs(self, crs: CRS | None = None, epsg: int | None = None, inplace: bool = False, allow_override: bool = False) -> Vector | None:
+    def set_crs(
+        self, crs: CRS | None = None, epsg: int | None = None, inplace: bool = False, allow_override: bool = False
+    ) -> Vector | None:
 
         if inplace:
             self.ds = self.ds.set_crs(crs=crs, epsg=epsg, allow_override=allow_override)
+            return None
         else:
             return self._override_gdf_output(self.ds.set_crs(crs=crs, epsg=epsg, allow_override=allow_override))
 
@@ -661,6 +674,7 @@ def set_geometry(self, col: str, drop: bool = False, inplace: bool = False, crs:
 
         if inplace:
             self.ds = self.ds.set_geometry(col=col, drop=drop, crs=crs)
+            return None
         else:
             return self._override_gdf_output(self.ds.set_geometry(col=col, drop=drop, crs=crs))
 
@@ -669,6 +683,7 @@ def rename_geometry(self, col: str, inplace: bool = False) -> Vector | None:
 
         if inplace:
             self.ds = self.ds.set_geometry(col=col)
+            return None
         else:
             return self._override_gdf_output(self.ds.rename_geometry(col=col))
 
@@ -703,7 +718,9 @@ def estimate_utm_crs(self, datum_name: str = "WGS 84") -> CRS:
         return self.ds.estimate_utm_crs(datum_name=datum_name)
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
-    def iterfeatures(self, na: str | None = "null", show_bbox: bool = False, drop_id: bool = False) -> Generator[dict[str, str | dict | None | dict], Any, Any]:
+    def iterfeatures(
+        self, na: str | None = "null", show_bbox: bool = False, drop_id: bool = False
+    ) -> Generator[dict[str, str | dict[str, Any] | None | dict[str, Any]], Any, Any]:
 
         return self.ds.iterfeatures(na=na, show_bbox=show_bbox, drop_id=drop_id)
 
@@ -721,11 +738,32 @@ def from_features(cls, features: Iterable[dict[str, Any]], crs: CRS, columns: li
 
     @classmethod
     @copy_doc(gpd.GeoDataFrame, "Vector")
-    def from_postgis(cls, sql: str, con: Any, geom_col: str = "geom", crs: CRS | None = None, index_col: str | None = None,
-                     coerce_float: bool = True, parse_dates: Any = None, params: Any = None, chunksize: Any = None) -> Vector:
+    def from_postgis(
+        cls,
+        sql: str,
+        con: Any,
+        geom_col: str = "geom",
+        crs: CRS | None = None,
+        index_col: str | None = None,
+        coerce_float: bool = True,
+        parse_dates: Any = None,
+        params: Any = None,
+        chunksize: Any = None,
+    ) -> Vector:
 
-        return cls(gpd.GeoDataFrame.from_postgis(sql=sql, con=con, geom_col=geom_col, crs=crs, index_col=index_col, coerce_float=coerce_float,
-                                                 parse_dates=parse_dates, params=params, chunksize=chunksize))
+        return cls(
+            gpd.GeoDataFrame.from_postgis(
+                sql=sql,
+                con=con,
+                geom_col=geom_col,
+                crs=crs,
+                index_col=index_col,
+                coerce_float=coerce_float,
+                parse_dates=parse_dates,
+                params=params,
+                chunksize=chunksize,
+            )
+        )
 
     @classmethod
     @copy_doc(gpd.GeoDataFrame, "Vector")
@@ -734,23 +772,27 @@ def from_dict(cls, data: dict[str, Any], geometry: Any = None, crs: CRS | None =
         return cls(gpd.GeoDataFrame.from_dict(data=data, geometry=geometry, crs=crs, **kwargs))
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
-    def to_file(self, filename: str,
-            driver: Any = None,
-            schema: Any = None,
-            index: Any = None,
-            **kwargs: Any) -> None:
+    def to_file(self, filename: str, driver: Any = None, schema: Any = None, index: Any = None, **kwargs: Any) -> None:
 
         return self.ds.to_file(filename=filename, driver=driver, schema=schema, index=index, **kwargs)
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
-    def to_feather(self, path: Any, index: Any = None, compression: Any = None, schema_version: Any = None, **kwargs: Any) -> None:
+    def to_feather(
+        self, path: Any, index: Any = None, compression: Any = None, schema_version: Any = None, **kwargs: Any
+    ) -> None:
 
-        return self.ds.to_feather(path=path, index=index, compression=compression, schema_version=schema_version, **kwargs)
+        return self.ds.to_feather(
+            path=path, index=index, compression=compression, schema_version=schema_version, **kwargs
+        )
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
-    def to_parquet(self, path: Any, index: Any = None, compression: Any = "snappy", schema_version: Any = None, **kwargs: Any) -> None:
+    def to_parquet(
+        self, path: Any, index: Any = None, compression: Any = "snappy", schema_version: Any = None, **kwargs: Any
+    ) -> None:
 
-        return self.ds.to_parquet(path=path, index=index, compression=compression, schema_version=schema_version, **kwargs)
+        return self.ds.to_parquet(
+            path=path, index=index, compression=compression, schema_version=schema_version, **kwargs
+        )
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
     def to_wkt(self, **kwargs: Any) -> pd.DataFrame:
@@ -763,25 +805,37 @@ def to_wkb(self, hex: bool = False, **kwargs: Any) -> pd.DataFrame:
         return self.ds.to_wkb(hex=hex, **kwargs)
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
-    def to_json(self, na: Any = "null", show_bbox: bool =False, drop_id: bool = False, **kwargs: Any) -> str | None:
+    def to_json(self, na: Any = "null", show_bbox: bool = False, drop_id: bool = False, **kwargs: Any) -> str | None:
 
         return self.ds.to_json(na=na, show_bbox=show_bbox, drop_id=drop_id, **kwargs)
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
-    def to_postgis(self, name: str,
-               con: Any,
-               schema: Any = None,
-               if_exists: Any = "fail",
-               index: Any = False,
-               index_label: Any = None,
-               chunksize: Any = None,
-               dtype: Any = None) -> None:
-
-        return self.ds.to_postgis(name=name, con=con, schema=schema, if_exists=if_exists, index=index,
-                                  index_label=index_label, chunksize=chunksize, dtype=dtype)
+    def to_postgis(
+        self,
+        name: str,
+        con: Any,
+        schema: Any = None,
+        if_exists: Any = "fail",
+        index: Any = False,
+        index_label: Any = None,
+        chunksize: Any = None,
+        dtype: Any = None,
+    ) -> None:
+
+        return self.ds.to_postgis(
+            name=name,
+            con=con,
+            schema=schema,
+            if_exists=if_exists,
+            index=index,
+            index_label=index_label,
+            chunksize=chunksize,
+            dtype=dtype,
+        )
 
     @copy_doc(gpd.GeoDataFrame, "Vector")
-    def to_csv(self,
+    def to_csv(
+        self,
         path_or_buf: str | PathLike[str] | WriteBuffer[bytes] | WriteBuffer[str] | None = None,
         sep: str = ",",
         na_rep: str = "",
@@ -794,7 +848,7 @@ def to_csv(self,
         encoding: str | None = None,
         compression: Literal["infer", "gzip", "bz2", "zip", "xz", "zstd", "tar"] | dict[str, Any] | None = "infer",
         quoting: int | None = None,
-        quotechar: str = '\"',
+        quotechar: str = '"',
         lineterminator: str | None = None,
         chunksize: int | None = None,
         date_format: str | None = None,
@@ -802,13 +856,32 @@ def to_csv(self,
         escapechar: str | None = None,
         decimal: str = ".",
         errors: str = "strict",
-        storage_options: dict[str, Any] | None = None
-               ) -> str | None:
-
-        return self.ds.to_csv(path_or_buf=path_or_buf, sep=sep, na_rep=na_rep, float_format=float_format, columns=columns, header=header,
-                              index=index, index_label=index_label, mode=mode, encoding=encoding, compression=compression, quoting=quoting,
-                              quotechar=quotechar, lineterminator=lineterminator, chunksize=chunksize, date_format=date_format,
-                              doublequote=doublequote, escapechar=escapechar, decimal=decimal, errors=errors, storage_options=storage_options)
+        storage_options: dict[str, Any] | None = None,
+    ) -> str | None:
+
+        return self.ds.to_csv(
+            path_or_buf=path_or_buf,
+            sep=sep,
+            na_rep=na_rep,
+            float_format=float_format,
+            columns=columns,
+            header=header,
+            index=index,
+            index_label=index_label,
+            mode=mode,
+            encoding=encoding,
+            compression=compression,
+            quoting=quoting,
+            quotechar=quotechar,
+            lineterminator=lineterminator,
+            chunksize=chunksize,
+            date_format=date_format,
+            doublequote=doublequote,
+            escapechar=escapechar,
+            decimal=decimal,
+            errors=errors,
+            storage_options=storage_options,
+        )
 
     # --------------------------------
     # End of GeoPandas functionalities
diff --git a/tests/test_vector.py b/tests/test_vector.py
index 98f44a950..716bebef0 100644
--- a/tests/test_vector.py
+++ b/tests/test_vector.py
@@ -569,7 +569,17 @@ class TestGeoPandasMethods:
     # Properties and methods derived from Shapely or GeoPandas
     # List of properties and methods with non-geometric output that are implemented in GeoUtils
     main_properties = ["crs", "geometry", "total_bounds"]
-    nongeo_properties = ["area", "length", "interiors", "geom_type", "is_empty", "is_ring", "is_simple", "is_valid", "has_z"]
+    nongeo_properties = [
+        "area",
+        "length",
+        "interiors",
+        "geom_type",
+        "is_empty",
+        "is_ring",
+        "is_simple",
+        "is_valid",
+        "has_z",
+    ]
     nongeo_methods = [
         "contains",
         "geom_equals",
@@ -613,19 +623,46 @@ class TestGeoPandasMethods:
         "set_crs",
         "rename_geometry",
         "set_geometry",
-        "clip"
+        "clip",
     ]
     # List of class methods
-    io_methods = ["from_file", "from_postgis", "from_dict", "from_features", "to_feather",
-                 "to_parquet", "to_file", "to_postgis", "to_json", "to_wkb", "to_wkt", "to_csv"]
+    io_methods = [
+        "from_file",
+        "from_postgis",
+        "from_dict",
+        "from_features",
+        "to_feather",
+        "to_parquet",
+        "to_file",
+        "to_postgis",
+        "to_json",
+        "to_wkb",
+        "to_wkt",
+        "to_csv",
+    ]
 
     # List of other properties and methods
     other = ["has_sindex", "sindex", "estimate_utm_crs", "cx", "iterfeatures"]
-    all_declared = main_properties + nongeo_methods + nongeo_properties + geo_methods + geo_properties + other + io_methods
+    all_declared = (
+        main_properties + nongeo_methods + nongeo_properties + geo_methods + geo_properties + other + io_methods
+    )
 
     # Exceptions for GeoPandasBase functions not implemented (or deprecrated) in GeoSeries/GeoDataFrame
-    exceptions_unimplemented = ["plot", "explore", "cascaded_union", "bounds", "relate", "project", "interpolate", "equals", "type", "convert_dtypes",
-                                "merge", "apply", "astype"]
+    exceptions_unimplemented = [
+        "plot",
+        "explore",
+        "cascaded_union",
+        "bounds",
+        "relate",
+        "project",
+        "interpolate",
+        "equals",
+        "type",
+        "convert_dtypes",
+        "merge",
+        "apply",
+        "astype",
+    ]
     # Exceptions for IO/conversion that can be done directly from .ds
     all_exceptions = exceptions_unimplemented
 
@@ -643,7 +680,7 @@ def test_overridden_funcs_exist(self) -> None:
 
         list_missing = [method for method in self.all_declared if method not in vector_methods.keys()]
 
-        assert len(list_missing) == 0, print("Test method listed that is not in GeoUtils: {}".format(list_missing))
+        assert len(list_missing) == 0, print(f"Test method listed that is not in GeoUtils: {list_missing}")
 
     def test_geopandas_coverage(self) -> None:
         """Check that all existing methods of GeoPandas are overridden, with a couple exceptions."""
@@ -661,7 +698,7 @@ def test_geopandas_coverage(self) -> None:
         # Check that all methods declared in the class above are covered in Vector
         list_missing = [method for method in covered_methods if method not in self.all_declared]
 
-        assert len(list_missing) == 0, print("Missing methods from GeoPandas: {}".format(list_missing))
+        assert len(list_missing) == 0, print(f"Missing methods from GeoPandas: {list_missing}")
 
     @pytest.mark.parametrize("method", nongeo_methods + geo_methods)  # type: ignore
     def test_overridden_funcs_args(self, method: str) -> None:
@@ -769,7 +806,7 @@ def test_geo_properties(self, vector: gu.Vector, method: str) -> None:
         "set_crs": {"crs": pyproj.CRS.from_epsg(32610), "allow_override": True},
         "rename_geometry": {"col": "lol"},
         "set_geometry": {"col": synthvec1.geometry},
-        "clip": {"mask": poly}
+        "clip": {"mask": poly},
     }
 
     @pytest.mark.parametrize("vector1", [synthvec1, realvec1])  # type: ignore

From 9bae25f01fc653ea80c90ce8020d75961d33151f Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 22 Mar 2023 15:21:54 -0700
Subject: [PATCH 132/184] Define raster transform and crs as properties, remove
 the old attrs

---
 doc/source/api.md         |  2 --
 geoutils/raster/raster.py | 68 ++++++++++++++++++++++++++++++++-------
 geoutils/raster/satimg.py |  6 +---
 3 files changed, 57 insertions(+), 19 deletions(-)

diff --git a/doc/source/api.md b/doc/source/api.md
index b46a132ec..9ff1b5c92 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -370,8 +370,6 @@ Otherwise, calling the method from {attr}`Vector.ds<geoutils.Vector.ds>`, they r
     Vector.rotate
     Vector.scale
     Vector.skew
-    Vector.interpolate
-    Vector.merge
     Vector.dissolve
     Vector.explode
     Vector.sjoin
diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index 369bc4405..94b0b49a8 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -14,6 +14,7 @@
 from numbers import Number
 from typing import IO, Any, Callable, TypeVar, overload
 
+import affine
 import geopandas as gpd
 import matplotlib
 import matplotlib.pyplot as plt
@@ -253,7 +254,6 @@ def __init__(
         downsample: AnyNumber = 1,
         masked: bool = True,
         nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
-        attrs: list[str] | None = None,
     ) -> None:
         """
         Instantiate a raster from a filename or rasterio dataset.
@@ -269,11 +269,6 @@ def __init__(
         :param masked: Whether to load the array as a NumPy masked-array, with nodata values masked. Default is True.
 
         :param nodata: Nodata value to be used (overwrites the metadata). Default reads from metadata.
-
-        :param attrs: Additional attributes from Rasterio's DataReader class to add to the Raster object.
-            Default list is set by geoutils.raster.raster._default_rio_attrs, i.e.
-            ['bounds', 'count', 'crs', 'driver', 'dtypes', 'height', 'indexes',
-            'name', 'nodata', 'res', 'shape', 'transform', 'width'] - if no attrs are specified, these will be added.
         """
         self._driver: str | None = None
         self._name: str | None = None
@@ -281,6 +276,8 @@ def __init__(
         self.tags: dict[str, Any] = {}
 
         self._data: np.ma.masked_array | None = None
+        self._transform: affine.Affine | None = None
+        self._crs: CRS | None = None
         self._nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = nodata
         self._indexes = indexes
         self._indexes_loaded: int | tuple[int, ...] | None = None
@@ -331,8 +328,8 @@ def __init__(
                     load_data = True
                     self.filename = None
 
-                self.transform = ds.transform
-                self.crs = ds.crs
+                self._transform = ds.transform
+                self._crs = ds.crs
                 self._nodata = ds.nodata
                 self._name = ds.name
                 self._driver = ds.driver
@@ -342,10 +339,6 @@ def __init__(
                 self._disk_indexes = ds.indexes
                 self._disk_dtypes = ds.dtypes
 
-                if attrs is not None:
-                    for attr in attrs:
-                        self.__setattr__(attr, ds.__getattr__(attr))
-
             # Check number of bands to be loaded
             if indexes is None:
                 count = self.count
@@ -1398,6 +1391,57 @@ def data(self, new_data: np.ndarray | np.ma.masked_array) -> None:
         else:
             self._data = np.ma.masked_array(data=new_data, fill_value=self.nodata)
 
+    @property
+    def transform(self) -> affine.Affine:
+        """
+        Geotransform of the raster.
+
+        :returns: Affine matrix geotransform.
+
+        """
+        return self._transform
+
+    @transform.setter
+    def transform(self, transform= tuple[float, ...] | Affine | None) -> None:
+        """
+        Set the geotransform of the raster.
+        """
+
+        if transform is None:
+            self._transform = None
+            return
+
+        if not isinstance(transform, Affine):
+            if isinstance(transform, tuple):
+                transform = Affine(*transform)
+            else:
+                raise TypeError("The transform argument needs to be Affine or tuple.")
+
+        self._transform = transform
+
+    @property
+    def crs(self) -> CRS:
+        """
+        Coordinate reference system (CRS) of the raster.
+
+        :returns: Pyproj coordinate reference system.
+
+        """
+        return self._crs
+
+    @crs.setter
+    def crs(self, crs = CRS | int | str | None) -> None:
+        """
+        Set the coordinate reference system (CRS) of the raster.
+        """
+
+        if crs is None:
+            self._crs = None
+            return
+
+        crs = CRS.from_user_input(value=crs)
+        self._crs = crs
+
     def set_mask(self, mask: np.ndarray | Mask) -> None:
         """
         Set a mask on the raster array.
diff --git a/geoutils/raster/satimg.py b/geoutils/raster/satimg.py
index 5aa916334..2655eaa1e 100644
--- a/geoutils/raster/satimg.py
+++ b/geoutils/raster/satimg.py
@@ -252,7 +252,6 @@ class SatelliteImage(Raster):  # type: ignore
     def __init__(
         self,
         filename_or_dataset: str | RasterType | rio.io.DatasetReader | rio.io.MemoryFile,
-        attrs: list[str] | None = None,
         load_data: bool = True,
         indexes: int | list[int] | None = None,
         read_from_fn: bool = True,
@@ -270,9 +269,6 @@ def __init__(
         Load satellite data through the Raster class and parse additional attributes from filename or metadata.
 
         :param filename_or_dataset: The filename of the dataset.
-        :param attrs: Additional attributes from rasterio's DataReader class to add to the Raster object.
-           Default list is ['bounds', 'count', 'crs', 'dataset_mask', 'driver', 'dtypes', 'height', 'indexes',
-           'name', 'nodata', 'res', 'shape', 'transform', 'width'] - if no attrs are specified, these will be added.
         :param load_data: Load the raster data into the object. Default is True.
         :param indexes: The band(s) to load into the object. Default is to load all bands.
         :param read_from_fn: Try to read metadata from the filename
@@ -296,7 +292,7 @@ def __init__(
             return
         # Else rely on parent Raster class options (including raised errors)
         else:
-            super().__init__(filename_or_dataset, attrs=attrs, load_data=load_data, indexes=indexes)
+            super().__init__(filename_or_dataset, load_data=load_data, indexes=indexes)
 
         # priority to user input
         self._datetime = datetime

From dfa2ae3764c6de3c9b18cb1bcbb4c2e1381ccda2 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 23 Mar 2023 13:34:47 -0700
Subject: [PATCH 133/184] Linting

---
 geoutils/raster/raster.py | 26 ++++++++++++--------------
 1 file changed, 12 insertions(+), 14 deletions(-)

diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index 94b0b49a8..980065206 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -1397,50 +1397,48 @@ def transform(self) -> affine.Affine:
         Geotransform of the raster.
 
         :returns: Affine matrix geotransform.
-
         """
         return self._transform
 
     @transform.setter
-    def transform(self, transform= tuple[float, ...] | Affine | None) -> None:
+    def transform(self, new_transform: tuple[float, ...] | Affine | None) -> None:
         """
         Set the geotransform of the raster.
         """
 
-        if transform is None:
+        if new_transform is None:
             self._transform = None
             return
 
-        if not isinstance(transform, Affine):
-            if isinstance(transform, tuple):
-                transform = Affine(*transform)
+        if not isinstance(new_transform, Affine):
+            if isinstance(new_transform, tuple):
+                new_transform = Affine(*new_transform)
             else:
                 raise TypeError("The transform argument needs to be Affine or tuple.")
 
-        self._transform = transform
+        self._transform = new_transform
 
     @property
     def crs(self) -> CRS:
         """
-        Coordinate reference system (CRS) of the raster.
+        Coordinate reference system of the raster.
 
         :returns: Pyproj coordinate reference system.
-
         """
         return self._crs
 
     @crs.setter
-    def crs(self, crs = CRS | int | str | None) -> None:
+    def crs(self, new_crs: CRS | int | str | None) -> None:
         """
-        Set the coordinate reference system (CRS) of the raster.
+        Set the coordinate reference system of the raster.
         """
 
-        if crs is None:
+        if new_crs is None:
             self._crs = None
             return
 
-        crs = CRS.from_user_input(value=crs)
-        self._crs = crs
+        new_crs = CRS.from_user_input(value=new_crs)
+        self._crs = new_crs
 
     def set_mask(self, mask: np.ndarray | Mask) -> None:
         """

From f4d336964d9c18972c43c33872ce314f1a44a6e1 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 23 Mar 2023 17:03:22 -0700
Subject: [PATCH 134/184] Try to rename raster.py in raster to avoid errors on
 Mac and Windows

---
 geoutils/raster/__init__.py            | 2 +-
 geoutils/raster/{raster.py => core.py} | 0
 geoutils/raster/multiraster.py         | 2 +-
 tests/test_raster.py                   | 2 +-
 4 files changed, 3 insertions(+), 3 deletions(-)
 rename geoutils/raster/{raster.py => core.py} (100%)

diff --git a/geoutils/raster/__init__.py b/geoutils/raster/__init__.py
index aceb2c43b..31826ec6c 100644
--- a/geoutils/raster/__init__.py
+++ b/geoutils/raster/__init__.py
@@ -1,4 +1,4 @@
-from geoutils.raster.raster import Raster, RasterType, Mask  # noqa isort:skip
+from geoutils.raster.core import Raster, RasterType, Mask  # noqa isort:skip
 from geoutils.raster.array import *  # noqa
 from geoutils.raster.multiraster import *  # noqa
 from geoutils.raster.sampling import *  # noqa
diff --git a/geoutils/raster/raster.py b/geoutils/raster/core.py
similarity index 100%
rename from geoutils/raster/raster.py
rename to geoutils/raster/core.py
diff --git a/geoutils/raster/multiraster.py b/geoutils/raster/multiraster.py
index 385315a6c..21bff9fe5 100644
--- a/geoutils/raster/multiraster.py
+++ b/geoutils/raster/multiraster.py
@@ -12,7 +12,7 @@
 import geoutils as gu
 from geoutils.misc import resampling_method_from_str
 from geoutils.raster import Raster, RasterType, get_array_and_mask
-from geoutils.raster.raster import _default_nodata
+from geoutils.raster.core import _default_nodata
 
 
 def load_multiple_rasters(
diff --git a/tests/test_raster.py b/tests/test_raster.py
index f3ca6d155..fb4af56f1 100644
--- a/tests/test_raster.py
+++ b/tests/test_raster.py
@@ -22,7 +22,7 @@
 from geoutils import examples
 from geoutils.misc import resampling_method_from_str
 from geoutils.projtools import reproject_to_latlon
-from geoutils.raster.raster import _default_nodata, _default_rio_attrs
+from geoutils.raster.core import _default_nodata, _default_rio_attrs
 
 DO_PLOT = False
 

From 7d1862bfd26a0f67c648838eec57ee3e6cf619ce Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 23 Mar 2023 17:08:00 -0700
Subject: [PATCH 135/184] Fix renaming with core

---
 geoutils/raster/multiraster.py | 2 +-
 geoutils/vector.py             | 2 +-
 tests/test_raster.py           | 4 ++--
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/geoutils/raster/multiraster.py b/geoutils/raster/multiraster.py
index 21bff9fe5..ea179613e 100644
--- a/geoutils/raster/multiraster.py
+++ b/geoutils/raster/multiraster.py
@@ -173,7 +173,7 @@ def stack_rasters(
             raster.load()
             raster.is_loaded = False
 
-        nodata = reference_raster.nodata or gu.raster.raster._default_nodata(reference_raster.data.dtype)
+        nodata = reference_raster.nodata or gu.raster.core._default_nodata(reference_raster.data.dtype)
         # Reproject to reference grid
         reprojected_raster = raster.reproject(
             dst_bounds=dst_bounds,
diff --git a/geoutils/vector.py b/geoutils/vector.py
index c18249d06..53426de22 100644
--- a/geoutils/vector.py
+++ b/geoutils/vector.py
@@ -1397,7 +1397,7 @@ def proximity(
 
             raster = gu.Raster.from_array(data=np.zeros((1000, 1000)), transform=transform, crs=self.crs)
 
-        proximity = gu.raster.raster.proximity_from_vector_or_raster(
+        proximity = gu.raster.core.proximity_from_vector_or_raster(
             raster=raster, vector=self, geometry_type=geometry_type, in_or_out=in_or_out, distance_unit=distance_unit
         )
 
diff --git a/tests/test_raster.py b/tests/test_raster.py
index fb4af56f1..4afbcfdc6 100644
--- a/tests/test_raster.py
+++ b/tests/test_raster.py
@@ -3461,8 +3461,8 @@ class TestArrayInterface:
     # Most other math functions are already universal functions
 
     # Separate between two lists (single input and double input) for testing
-    handled_functions_2in = gu.raster.raster._HANDLED_FUNCTIONS_2NIN
-    handled_functions_1in = gu.raster.raster._HANDLED_FUNCTIONS_1NIN
+    handled_functions_2in = gu.raster.core._HANDLED_FUNCTIONS_2NIN
+    handled_functions_1in = gu.raster.core._HANDLED_FUNCTIONS_1NIN
 
     # Details below:
     # NaN functions: [f for f in np.lib.nanfunctions.__all__]

From c7c5b52be5d2fd0f68edebfec92cc4fe34eb8ce3 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Mar 2023 12:04:59 -0700
Subject: [PATCH 136/184] Try to re-order init imports

---
 geoutils/__init__.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/geoutils/__init__.py b/geoutils/__init__.py
index d99922258..c1bfdbe69 100644
--- a/geoutils/__init__.py
+++ b/geoutils/__init__.py
@@ -1,10 +1,10 @@
 """
-GeoUtils is a python package of raster and vector tools.
+GeoUtils is a Python package for the analysis of geospatial data.
 """
 
-from geoutils import examples, projtools, raster, vector  # noqa
-from geoutils.raster import Mask, Raster, SatelliteImage  # noqa
-from geoutils.vector import Vector  # noqa
+from geoutils.raster import Mask, Raster, SatelliteImage  # noqa isort:skip
+from geoutils.vector import Vector  # noqa isort:skip
+from geoutils import examples, projtools, raster, vector  # noqa isort:skip
 
 try:
     from geoutils.version import version as __version__  # noqa

From 6239334c023d0468cb7b8ee176ced71945da04b1 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Mar 2023 12:22:35 -0700
Subject: [PATCH 137/184] Change package setup to try fix on mac and windows

---
 setup.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/setup.py b/setup.py
index 8910350a1..ff66c3cdd 100644
--- a/setup.py
+++ b/setup.py
@@ -1,7 +1,7 @@
 from os import path
 from typing import Optional
 
-from setuptools import setup
+from setuptools import setup, find_packages
 
 FULLVERSION = "0.0.10"
 VERSION = FULLVERSION
@@ -40,7 +40,7 @@ def write_version_py(filename: Optional[str] = None) -> None:
     url="https://www.github.com/GlacioHack/geoutils/",
     author="The GlacioHack Team",
     license="BSD-3",
-    packages=["geoutils", "geoutils.raster"],
+    packages=find_packages(),
     python_requires=">=3.8",
     install_requires=[
         "rasterio",

From 24bb5c38a6c0fe95a4b5b2047c815577cf285ee1 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Mar 2023 13:23:28 -0700
Subject: [PATCH 138/184] Try re-installing via pip

---
 .github/workflows/python-app.yml | 4 +++-
 geoutils/__init__.py             | 6 +++---
 setup.py                         | 4 ++--
 3 files changed, 8 insertions(+), 6 deletions(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index b433a4b8a..cd4e57ca7 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -89,7 +89,9 @@ jobs:
         flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
 
     - name: Setup pip dependencies
-      run: pip install pytest-cov coveralls coveragepy-lcov
+      run: | 
+        pip install -e . --no-dependencies
+        pip install pytest-cov coveralls coveragepy-lcov
 
     - name: Test with pytest
       run: pytest -ra --cov=geoutils/
diff --git a/geoutils/__init__.py b/geoutils/__init__.py
index c1bfdbe69..9aef8a322 100644
--- a/geoutils/__init__.py
+++ b/geoutils/__init__.py
@@ -2,9 +2,9 @@
 GeoUtils is a Python package for the analysis of geospatial data.
 """
 
-from geoutils.raster import Mask, Raster, SatelliteImage  # noqa isort:skip
-from geoutils.vector import Vector  # noqa isort:skip
-from geoutils import examples, projtools, raster, vector  # noqa isort:skip
+from geoutils import examples, projtools, raster, vector  # noqa
+from geoutils.raster import Mask, Raster, SatelliteImage  # noqa
+from geoutils.vector import Vector  # noqa
 
 try:
     from geoutils.version import version as __version__  # noqa
diff --git a/setup.py b/setup.py
index ff66c3cdd..8910350a1 100644
--- a/setup.py
+++ b/setup.py
@@ -1,7 +1,7 @@
 from os import path
 from typing import Optional
 
-from setuptools import setup, find_packages
+from setuptools import setup
 
 FULLVERSION = "0.0.10"
 VERSION = FULLVERSION
@@ -40,7 +40,7 @@ def write_version_py(filename: Optional[str] = None) -> None:
     url="https://www.github.com/GlacioHack/geoutils/",
     author="The GlacioHack Team",
     license="BSD-3",
-    packages=find_packages(),
+    packages=["geoutils", "geoutils.raster"],
     python_requires=">=3.8",
     install_requires=[
         "rasterio",

From a0cc1fbc14225df105816ab85863e8c78cdee88f Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 24 Mar 2023 14:35:44 -0700
Subject: [PATCH 139/184] Fix raster into core in sphinx conf and doc

---
 .github/workflows/python-app.yml | 4 +---
 doc/source/conf.py               | 4 ++--
 doc/source/core_array_funcs.md   | 2 +-
 doc/source/core_inheritance.md   | 4 ++--
 doc/source/quick_start.md        | 4 ++--
 5 files changed, 8 insertions(+), 10 deletions(-)

diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml
index cd4e57ca7..b433a4b8a 100644
--- a/.github/workflows/python-app.yml
+++ b/.github/workflows/python-app.yml
@@ -89,9 +89,7 @@ jobs:
         flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
 
     - name: Setup pip dependencies
-      run: | 
-        pip install -e . --no-dependencies
-        pip install pytest-cov coveralls coveragepy-lcov
+      run: pip install pytest-cov coveralls coveragepy-lcov
 
     - name: Test with pytest
       run: pytest -ra --cov=geoutils/
diff --git a/doc/source/conf.py b/doc/source/conf.py
index c92b33180..e5c6927b1 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -93,8 +93,8 @@
 
 # To avoid long path names in inheritance diagrams
 inheritance_alias = {
-    "geoutils.raster.raster.Raster": "geoutils.Raster",
-    "geoutils.raster.raster.Mask": "geoutils.Mask",
+    "geoutils.raster.core.Raster": "geoutils.Raster",
+    "geoutils.raster.core.Mask": "geoutils.Mask",
     "geoutils.raster.satimg.SatelliteImage": "geoutils.SatelliteImage",
     "geoutils.vector.Vector": "geoutils.Vector",
     "xdem.dem.DEM": "xdem.DEM",
diff --git a/doc/source/core_array_funcs.md b/doc/source/core_array_funcs.md
index df97d5499..46908f492 100644
--- a/doc/source/core_array_funcs.md
+++ b/doc/source/core_array_funcs.md
@@ -100,7 +100,7 @@ np.count_nonzero(raster, axis=2)
 
 Not all array functions are supported, however. GeoUtils supports nearly all [mathematical functions](https://numpy.org/doc/stable/reference/routines.math.html),
 [masked-array functions](https://numpy.org/doc/stable/reference/routines.ma.html) and [logical functions](https://numpy.org/doc/stable/reference/routines.logic.html).
-A full list of supported array function is available in {attr}`geoutils.raster.raster.handled_array_funcs`.
+A full list of supported array function is available in {attr}`geoutils.raster.core.handled_array_funcs`.
 
 ## Respecting masked values
 
diff --git a/doc/source/core_inheritance.md b/doc/source/core_inheritance.md
index 2f9383507..741f5cf07 100644
--- a/doc/source/core_inheritance.md
+++ b/doc/source/core_inheritance.md
@@ -18,8 +18,8 @@ Below is a diagram showing current {class}`~geoutils.Raster` inheritance, which
 for analyzing digital elevation models.
 
 ```{eval-rst}
-.. inheritance-diagram:: geoutils.raster.raster geoutils.raster.satimg xdem.dem.DEM
-    :top-classes: geoutils.raster.raster.Raster
+.. inheritance-diagram:: geoutils.raster.core geoutils.raster.satimg xdem.dem.DEM
+    :top-classes: geoutils.raster.core.Raster
 ```
 
 ```{note}
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index ff36f9b94..ac9984d38 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -267,8 +267,8 @@ There are many possible subclass to derive from a {class}`~geoutils.Raster`. Her
 [xDEM](https://xdem.readthedocs.io/en/latest/index.html) through the {class}`~xdem.DEM` class for analyzing digital elevation models:
 
 ```{eval-rst}
-.. inheritance-diagram:: geoutils.raster.raster geoutils.raster.satimg xdem.dem.DEM
-    :top-classes: geoutils.raster.raster.Raster
+.. inheritance-diagram:: geoutils.raster.core geoutils.raster.satimg xdem.dem.DEM
+    :top-classes: geoutils.raster.core.Raster
 ```
 ```{seealso}
 The {class}`~xdem.DEM` class of [xDEM](https://xdem.readthedocs.io/en/latest/index.html) re-implements all methods of [gdalDEM](https://gdal.org/programs/gdaldem.html)

From f9c6545a1a0f2f51631d1c9346c1e4f291aaa533 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 27 Mar 2023 12:16:53 -0800
Subject: [PATCH 140/184] Only run docs on Linux

---
 tests/test_docs.py | 27 ++++++++++++++++-----------
 1 file changed, 16 insertions(+), 11 deletions(-)

diff --git a/tests/test_docs.py b/tests/test_docs.py
index a22073702..72ad2706c 100644
--- a/tests/test_docs.py
+++ b/tests/test_docs.py
@@ -1,6 +1,7 @@
 """Functions to test the documentation."""
 import os
 import shutil
+import platform
 
 import sphinx.cmd.build
 
@@ -12,16 +13,20 @@ class TestDocs:
     def test_build(self) -> None:
         """Try building the docs and see if it works."""
         # Remove the build directory if it exists.
-        if os.path.isdir(os.path.join(self.docs_dir, "build/")):
-            shutil.rmtree(os.path.join(self.docs_dir, "build/"))
 
-        return_code = sphinx.cmd.build.main(
-            [
-                "-j",
-                "1",
-                os.path.join(self.docs_dir, "source/"),
-                os.path.join(self.docs_dir, "build/html"),
-            ]
-        )
+        # Test only on Linux
+        if platform.system() == "Linux":
+            # Remove the build directory if it exists.
+            if os.path.isdir(os.path.join(self.docs_dir, "build/")):
+                shutil.rmtree(os.path.join(self.docs_dir, "build/"))
 
-        assert return_code == 0
+            return_code = sphinx.cmd.build.main(
+                [
+                    "-j",
+                    "1",
+                    os.path.join(self.docs_dir, "source/"),
+                    os.path.join(self.docs_dir, "build/html"),
+                ]
+            )
+
+            assert return_code == 0

From 69c780be17a5ceb69680b1fd6f992410bc5a5cde Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 27 Mar 2023 12:17:13 -0800
Subject: [PATCH 141/184] Linting

---
 tests/test_docs.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/tests/test_docs.py b/tests/test_docs.py
index 72ad2706c..caa7b86f9 100644
--- a/tests/test_docs.py
+++ b/tests/test_docs.py
@@ -1,7 +1,7 @@
 """Functions to test the documentation."""
 import os
-import shutil
 import platform
+import shutil
 
 import sphinx.cmd.build
 

From 68226d7f9a9efa880773a5069587d4c13b7ca6a5 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 27 Mar 2023 13:39:30 -0800
Subject: [PATCH 142/184] Re-refactor into raster.py (not the source of error),
 and fix temporary files in test_save of raster and vector

---
 doc/source/api.md                      |  1 -
 doc/source/conf.py                     |  4 +--
 doc/source/core_array_funcs.md         |  2 +-
 doc/source/core_inheritance.md         |  4 +--
 doc/source/quick_start.md              |  4 +--
 doc/source/raster_class.md             |  2 +-
 geoutils/raster/__init__.py            |  2 +-
 geoutils/raster/multiraster.py         |  4 +--
 geoutils/raster/{core.py => raster.py} |  0
 geoutils/vector.py                     |  2 +-
 tests/test_raster.py                   | 35 +++++++++++---------------
 tests/test_vector.py                   | 10 ++++----
 12 files changed, 32 insertions(+), 38 deletions(-)
 rename geoutils/raster/{core.py => raster.py} (100%)

diff --git a/doc/source/api.md b/doc/source/api.md
index 9ff1b5c92..03de14f19 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -415,7 +415,6 @@ Otherwise, calling the method from {attr}`Vector.ds<geoutils.Vector.ds>`, they r
     :toctree: gen_modules/
 
     Vector.contains
-    Vector.equals
     Vector.geom_equals
     Vector.geom_almost_equals
     Vector.crosses
diff --git a/doc/source/conf.py b/doc/source/conf.py
index e5c6927b1..c92b33180 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -93,8 +93,8 @@
 
 # To avoid long path names in inheritance diagrams
 inheritance_alias = {
-    "geoutils.raster.core.Raster": "geoutils.Raster",
-    "geoutils.raster.core.Mask": "geoutils.Mask",
+    "geoutils.raster.raster.Raster": "geoutils.Raster",
+    "geoutils.raster.raster.Mask": "geoutils.Mask",
     "geoutils.raster.satimg.SatelliteImage": "geoutils.SatelliteImage",
     "geoutils.vector.Vector": "geoutils.Vector",
     "xdem.dem.DEM": "xdem.DEM",
diff --git a/doc/source/core_array_funcs.md b/doc/source/core_array_funcs.md
index 46908f492..df97d5499 100644
--- a/doc/source/core_array_funcs.md
+++ b/doc/source/core_array_funcs.md
@@ -100,7 +100,7 @@ np.count_nonzero(raster, axis=2)
 
 Not all array functions are supported, however. GeoUtils supports nearly all [mathematical functions](https://numpy.org/doc/stable/reference/routines.math.html),
 [masked-array functions](https://numpy.org/doc/stable/reference/routines.ma.html) and [logical functions](https://numpy.org/doc/stable/reference/routines.logic.html).
-A full list of supported array function is available in {attr}`geoutils.raster.core.handled_array_funcs`.
+A full list of supported array function is available in {attr}`geoutils.raster.raster.handled_array_funcs`.
 
 ## Respecting masked values
 
diff --git a/doc/source/core_inheritance.md b/doc/source/core_inheritance.md
index 741f5cf07..2f9383507 100644
--- a/doc/source/core_inheritance.md
+++ b/doc/source/core_inheritance.md
@@ -18,8 +18,8 @@ Below is a diagram showing current {class}`~geoutils.Raster` inheritance, which
 for analyzing digital elevation models.
 
 ```{eval-rst}
-.. inheritance-diagram:: geoutils.raster.core geoutils.raster.satimg xdem.dem.DEM
-    :top-classes: geoutils.raster.core.Raster
+.. inheritance-diagram:: geoutils.raster.raster geoutils.raster.satimg xdem.dem.DEM
+    :top-classes: geoutils.raster.raster.Raster
 ```
 
 ```{note}
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index ac9984d38..ff36f9b94 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -267,8 +267,8 @@ There are many possible subclass to derive from a {class}`~geoutils.Raster`. Her
 [xDEM](https://xdem.readthedocs.io/en/latest/index.html) through the {class}`~xdem.DEM` class for analyzing digital elevation models:
 
 ```{eval-rst}
-.. inheritance-diagram:: geoutils.raster.core geoutils.raster.satimg xdem.dem.DEM
-    :top-classes: geoutils.raster.core.Raster
+.. inheritance-diagram:: geoutils.raster.raster geoutils.raster.satimg xdem.dem.DEM
+    :top-classes: geoutils.raster.raster.Raster
 ```
 ```{seealso}
 The {class}`~xdem.DEM` class of [xDEM](https://xdem.readthedocs.io/en/latest/index.html) re-implements all methods of [gdalDEM](https://gdal.org/programs/gdaldem.html)
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index 2843681bc..4d22febea 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -249,7 +249,7 @@ For more details, see the {ref}`specific section and function descriptions in th
 
 ```{code-cell} ipython3
 # Crop to smaller bounds
-raster_crop = raster.crop(cropGeom=(0.3, 0.3, 1, 1), inplace=False)
+raster_crop = raster.crop(crop_geom=(0.3, 0.3, 1, 1), inplace=False)
 raster_crop
 ```
 
diff --git a/geoutils/raster/__init__.py b/geoutils/raster/__init__.py
index 31826ec6c..aceb2c43b 100644
--- a/geoutils/raster/__init__.py
+++ b/geoutils/raster/__init__.py
@@ -1,4 +1,4 @@
-from geoutils.raster.core import Raster, RasterType, Mask  # noqa isort:skip
+from geoutils.raster.raster import Raster, RasterType, Mask  # noqa isort:skip
 from geoutils.raster.array import *  # noqa
 from geoutils.raster.multiraster import *  # noqa
 from geoutils.raster.sampling import *  # noqa
diff --git a/geoutils/raster/multiraster.py b/geoutils/raster/multiraster.py
index ea179613e..385315a6c 100644
--- a/geoutils/raster/multiraster.py
+++ b/geoutils/raster/multiraster.py
@@ -12,7 +12,7 @@
 import geoutils as gu
 from geoutils.misc import resampling_method_from_str
 from geoutils.raster import Raster, RasterType, get_array_and_mask
-from geoutils.raster.core import _default_nodata
+from geoutils.raster.raster import _default_nodata
 
 
 def load_multiple_rasters(
@@ -173,7 +173,7 @@ def stack_rasters(
             raster.load()
             raster.is_loaded = False
 
-        nodata = reference_raster.nodata or gu.raster.core._default_nodata(reference_raster.data.dtype)
+        nodata = reference_raster.nodata or gu.raster.raster._default_nodata(reference_raster.data.dtype)
         # Reproject to reference grid
         reprojected_raster = raster.reproject(
             dst_bounds=dst_bounds,
diff --git a/geoutils/raster/core.py b/geoutils/raster/raster.py
similarity index 100%
rename from geoutils/raster/core.py
rename to geoutils/raster/raster.py
diff --git a/geoutils/vector.py b/geoutils/vector.py
index 53426de22..c18249d06 100644
--- a/geoutils/vector.py
+++ b/geoutils/vector.py
@@ -1397,7 +1397,7 @@ def proximity(
 
             raster = gu.Raster.from_array(data=np.zeros((1000, 1000)), transform=transform, crs=self.crs)
 
-        proximity = gu.raster.core.proximity_from_vector_or_raster(
+        proximity = gu.raster.raster.proximity_from_vector_or_raster(
             raster=raster, vector=self, geometry_type=geometry_type, in_or_out=in_or_out, distance_unit=distance_unit
         )
 
diff --git a/tests/test_raster.py b/tests/test_raster.py
index 4afbcfdc6..4d4c4f788 100644
--- a/tests/test_raster.py
+++ b/tests/test_raster.py
@@ -22,7 +22,7 @@
 from geoutils import examples
 from geoutils.misc import resampling_method_from_str
 from geoutils.projtools import reproject_to_latlon
-from geoutils.raster.core import _default_nodata, _default_rio_attrs
+from geoutils.raster.raster import _default_nodata, _default_rio_attrs
 
 DO_PLOT = False
 
@@ -2158,29 +2158,26 @@ def test_save(self, example: str) -> None:
         temp_dir = tempfile.TemporaryDirectory()
 
         # Save file to temporary file, with defaults opts
-        temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
-        img.save(temp_file.name)
-        saved = gu.Raster(temp_file.name)
+        temp_file = os.path.join(temp_dir.name, "test.tif")
+        img.save(temp_file)
+        saved = gu.Raster(temp_file)
         assert img.raster_equal(saved)
 
         # Try to save with a pathlib path (create a new temp file for Windows)
-        temp_file_1 = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
-        path = pathlib.Path(temp_file_1.name)
+        path = pathlib.Path(temp_file)
         img.save(path)
 
         # Test additional options
         co_opts = {"TILED": "YES", "COMPRESS": "LZW"}
         metadata = {"Type": "test"}
-        temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
-        img.save(temp_file.name, co_opts=co_opts, metadata=metadata)
-        saved = gu.Raster(temp_file.name)
+        img.save(temp_file, co_opts=co_opts, metadata=metadata)
+        saved = gu.Raster(temp_file)
         assert img.raster_equal(saved)
         assert saved.tags["Type"] == "test"
 
         # Test that nodata value is enforced when masking - since value 0 is not used, data should be unchanged
-        temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
-        img.save(temp_file.name, nodata=0)
-        saved = gu.Raster(temp_file.name)
+        img.save(temp_file, nodata=0)
+        saved = gu.Raster(temp_file)
         assert np.ma.allequal(img.data, saved.data)
         assert saved.nodata == 0
 
@@ -2188,9 +2185,8 @@ def test_save(self, example: str) -> None:
         mask = img.data == np.min(img.data)
         img.set_mask(mask)
         if img.nodata is not None:
-            temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
-            img.save(temp_file.name)
-            saved = gu.Raster(temp_file.name)
+            img.save(temp_file)
+            saved = gu.Raster(temp_file)
             assert np.array_equal(img.data.mask, saved.data.mask)
 
         # Test that a warning is raised if nodata is not set and a mask exists (defined above)
@@ -2199,9 +2195,8 @@ def test_save(self, example: str) -> None:
                 img.save(TemporaryFile())
 
         # Test with blank argument
-        temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name)
-        img.save(temp_file.name, blank_value=0)
-        saved = gu.Raster(temp_file.name)
+        img.save(temp_file, blank_value=0)
+        saved = gu.Raster(temp_file)
 
         assert np.array_equal(saved.data.data, np.zeros(np.shape(saved.data)))
 
@@ -3461,8 +3456,8 @@ class TestArrayInterface:
     # Most other math functions are already universal functions
 
     # Separate between two lists (single input and double input) for testing
-    handled_functions_2in = gu.raster.core._HANDLED_FUNCTIONS_2NIN
-    handled_functions_1in = gu.raster.core._HANDLED_FUNCTIONS_1NIN
+    handled_functions_2in = gu.raster.raster._HANDLED_FUNCTIONS_2NIN
+    handled_functions_1in = gu.raster.raster._HANDLED_FUNCTIONS_1NIN
 
     # Details below:
     # NaN functions: [f for f in np.lib.nanfunctions.__all__]
diff --git a/tests/test_vector.py b/tests/test_vector.py
index 716bebef0..d780bd723 100644
--- a/tests/test_vector.py
+++ b/tests/test_vector.py
@@ -82,17 +82,17 @@ def test_save(self) -> None:
 
         # Create a temporary file in a temporary directory
         temp_dir = tempfile.TemporaryDirectory()
-        temp_file = NamedTemporaryFile(mode="w", delete=False, dir=temp_dir.name, suffix=".gpkg")
-        os.remove(temp_file.name)
+        temp_file = os.path.join(temp_dir.name, "test.gpkg")
 
         # Save and check the file exists
-        vector.save(temp_file.name, overwrite=True)
-        assert os.path.exists(temp_file.name)
+        vector.save(temp_file)
+        assert os.path.exists(temp_file)
 
         # Open and check the object is the same
-        vector_save = gu.Vector(temp_file.name)
+        vector_save = gu.Vector(temp_file)
         vector_save.vector_equal(vector)
 
+
     def test_bounds(self) -> None:
         bounds = self.glacier_outlines.bounds
 

From b02b3bbb73d2bdbd0a989146bf516013eac1e6c1 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 27 Mar 2023 13:40:32 -0800
Subject: [PATCH 143/184] Linting

---
 tests/test_raster.py | 2 +-
 tests/test_vector.py | 2 --
 2 files changed, 1 insertion(+), 3 deletions(-)

diff --git a/tests/test_raster.py b/tests/test_raster.py
index 4d4c4f788..c4d4229b0 100644
--- a/tests/test_raster.py
+++ b/tests/test_raster.py
@@ -8,7 +8,7 @@
 import re
 import tempfile
 import warnings
-from tempfile import NamedTemporaryFile, TemporaryFile
+from tempfile import TemporaryFile
 
 import matplotlib.pyplot as plt
 import numpy as np
diff --git a/tests/test_vector.py b/tests/test_vector.py
index d780bd723..0349f9ca7 100644
--- a/tests/test_vector.py
+++ b/tests/test_vector.py
@@ -6,7 +6,6 @@
 import re
 import tempfile
 import warnings
-from tempfile import NamedTemporaryFile
 
 import geopandas as gpd
 import geopandas.base
@@ -92,7 +91,6 @@ def test_save(self) -> None:
         vector_save = gu.Vector(temp_file)
         vector_save.vector_equal(vector)
 
-
     def test_bounds(self) -> None:
         bounds = self.glacier_outlines.bounds
 

From 9d487d0a85fe2acffbeb4b75d2e3765d23090f66 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 27 Mar 2023 15:02:07 -0800
Subject: [PATCH 144/184] Make sphinx gallery thumbnail not visible, remove
 open_save example files with post-build sphinx cleanup

---
 .gitignore                                      |   5 +++++
 doc/source/conf.py                              |  12 +++++++++++-
 .../array_numerics/numpy_interfacing.py         |   3 ++-
 .../array_numerics/python_arithmetic.py         |   3 ++-
 examples/analysis/geospatial/buffer_voronoi.py  |   3 ++-
 .../analysis/geospatial/proximity_metric.py     |   3 ++-
 .../analysis/point_extraction/interpolation.py  |   3 ++-
 examples/analysis/point_extraction/reduction.py |   3 ++-
 examples/handling/georeferencing/crop_raster.py |   3 ++-
 examples/handling/georeferencing/crop_vector.py |   3 ++-
 .../handling/georeferencing/reproj_raster.py    |   2 +-
 .../handling/georeferencing/reproj_vector.py    |   4 ++--
 examples/handling/interface/create_mask.py      |   3 ++-
 examples/handling/interface/polygonize.py       |   3 ++-
 examples/handling/interface/rasterize.py        |   3 ++-
 examples/handling/interface/topoints.py         |   3 ++-
 examples/io/open_save/myraster.tif              | Bin 23791 -> 0 bytes
 examples/io/open_save/read_vector.py            |   2 +-
 18 files changed, 44 insertions(+), 17 deletions(-)
 delete mode 100644 examples/io/open_save/myraster.tif

diff --git a/.gitignore b/.gitignore
index 410255d81..4047e2651 100644
--- a/.gitignore
+++ b/.gitignore
@@ -151,3 +151,8 @@ examples/data/
 
 # Directory where myst_nb executes jupyter code
 doc/jupyter_execute/
+
+# Files that should have been deleted by Sphinx at end of build (but can exist if build fails)
+examples/io/open_save/myraster.tif
+examples/io/open_save/myvector.gpkg
+
diff --git a/doc/source/conf.py b/doc/source/conf.py
index c92b33180..0e87b4f12 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -1,6 +1,7 @@
 #
 # Configuration file for the Sphinx documentation builder.
 #
+import glob
 import os
 import sys
 
@@ -80,7 +81,8 @@
     "filename_pattern": r".*\.py",  # Run all python files in the gallery (by default, only files starting with "plot_" are run)
     # directory where function/class granular galleries are stored
     "backreferences_dir": "gen_modules/backreferences",
-    "doc_module": ("geoutils"),  # which function/class levels are used to create galleries
+    "doc_module": ("geoutils"),  # Which function/class levels are used to create galleries
+    'remove_config_comments': True, # To remove comments such as sphinx-gallery-thumbnail-number (only works in code, not in text)
 }
 
 extlinks = {
@@ -123,12 +125,20 @@
 #        "special-members": "__init__",
 # }
 
+def clean_gallery_files(app, exception):
+    fn_myraster = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../examples/io/open_save/myraster.tif"))
+    fn_myvector = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../examples/io/open_save/myvector.gpkg"))
+    if os.path.exists(fn_myraster):
+        os.remove(fn_myraster)
+    if os.path.exists(fn_myvector):
+        os.remove(fn_myvector)
 
 # To ignore warnings due to having myst-nb reading the .ipynb created by sphinx-gallery
 # Should eventually be fixed, see: https://github.com/executablebooks/MyST-NB/issues/363
 def setup(app):
     # Ignore .ipynb files
     app.registry.source_suffix.pop(".ipynb", None)
+    app.connect("build-finished", clean_gallery_files)
 
 
 # -- Options for HTML output -------------------------------------------------
diff --git a/examples/analysis/array_numerics/numpy_interfacing.py b/examples/analysis/array_numerics/numpy_interfacing.py
index 1fce6aa72..889ca6ef0 100644
--- a/examples/analysis/array_numerics/numpy_interfacing.py
+++ b/examples/analysis/array_numerics/numpy_interfacing.py
@@ -4,9 +4,10 @@
 
 This example demonstrates NumPy interfacing with rasters on :class:`Rasters<geoutils.Raster>`. See :ref:`core-array-funcs` for more details.
 """
-# sphinx_gallery_thumbnail_number = 2
 # %%
 # We open a raster.
+
+# sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
 rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
diff --git a/examples/analysis/array_numerics/python_arithmetic.py b/examples/analysis/array_numerics/python_arithmetic.py
index e632165a8..4cab61f31 100644
--- a/examples/analysis/array_numerics/python_arithmetic.py
+++ b/examples/analysis/array_numerics/python_arithmetic.py
@@ -4,9 +4,10 @@
 
 This example demonstrates arithmetic operations using raster arithmetic on :class:`Rasters<geoutils.Raster>`. See :ref:`core-py-ops` for more details.
 """
-# sphinx_gallery_thumbnail_number = 2
 # %%
 # We open a raster
+
+# sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
diff --git a/examples/analysis/geospatial/buffer_voronoi.py b/examples/analysis/geospatial/buffer_voronoi.py
index 068ae418c..009e555fe 100644
--- a/examples/analysis/geospatial/buffer_voronoi.py
+++ b/examples/analysis/geospatial/buffer_voronoi.py
@@ -4,9 +4,10 @@
 
 This example demonstrates the metric buffering of a vector using :func:`~geoutils.Vector.buffer_metric` and  :func:`~geoutils.Vector.buffer_without_overlap`.
 """
-# sphinx_gallery_thumbnail_number = 3
 # %%
 # We open an example vector
+
+# sphinx_gallery_thumbnail_number = 3
 import geoutils as gu
 
 vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
diff --git a/examples/analysis/geospatial/proximity_metric.py b/examples/analysis/geospatial/proximity_metric.py
index 37d754463..c2c727f2c 100644
--- a/examples/analysis/geospatial/proximity_metric.py
+++ b/examples/analysis/geospatial/proximity_metric.py
@@ -4,9 +4,10 @@
 
 This example demonstrates the calculation of proximity distances to a raster or vector using :func:`~geoutils.Raster.proximity`.
 """
-# sphinx_gallery_thumbnail_number = 2
 # %%
 # We open an example raster, and a vector for which we select a single feature
+
+# sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
diff --git a/examples/analysis/point_extraction/interpolation.py b/examples/analysis/point_extraction/interpolation.py
index 9f48c36f2..83823f5ef 100644
--- a/examples/analysis/point_extraction/interpolation.py
+++ b/examples/analysis/point_extraction/interpolation.py
@@ -4,9 +4,10 @@
 
 This example demonstrates raster interpolation to point values using :func:`~geoutils.Raster.interp_points`.
 """
-# sphinx_gallery_thumbnail_number = 2
 # %%
 # We open an example raster, a digital elevation model in South America
+
+# sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
 rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
diff --git a/examples/analysis/point_extraction/reduction.py b/examples/analysis/point_extraction/reduction.py
index ca62fbb88..fa4b3d543 100644
--- a/examples/analysis/point_extraction/reduction.py
+++ b/examples/analysis/point_extraction/reduction.py
@@ -4,9 +4,10 @@
 
 This example demonstrates raster reduction to point values using :func:`~geoutils.Raster.value_at_coords`.
 """
-# sphinx_gallery_thumbnail_number = 3
 # %%
 # We open an example raster, a digital elevation model in South America
+
+# sphinx_gallery_thumbnail_number = 3
 import geoutils as gu
 
 rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
diff --git a/examples/handling/georeferencing/crop_raster.py b/examples/handling/georeferencing/crop_raster.py
index 2aeefbee3..61a32e40c 100644
--- a/examples/handling/georeferencing/crop_raster.py
+++ b/examples/handling/georeferencing/crop_raster.py
@@ -4,9 +4,10 @@
 
 This example demonstrates the cropping of a raster using :func:`geoutils.Raster.crop`.
 """
-# sphinx_gallery_thumbnail_number = 2
 # %%
 # We open a raster and vector, and subset the latter.
+
+# sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
diff --git a/examples/handling/georeferencing/crop_vector.py b/examples/handling/georeferencing/crop_vector.py
index 9340f9525..043cc1e5d 100644
--- a/examples/handling/georeferencing/crop_vector.py
+++ b/examples/handling/georeferencing/crop_vector.py
@@ -4,9 +4,10 @@
 
 This example demonstrates the cropping of a vector using :func:`geoutils.Vector.crop`.
 """
-# sphinx_gallery_thumbnail_number = 3
 # %%
 # We open a raster and vector.
+
+# sphinx_gallery_thumbnail_number = 3
 import geoutils as gu
 
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
diff --git a/examples/handling/georeferencing/reproj_raster.py b/examples/handling/georeferencing/reproj_raster.py
index f996021c1..2bec585b8 100644
--- a/examples/handling/georeferencing/reproj_raster.py
+++ b/examples/handling/georeferencing/reproj_raster.py
@@ -6,6 +6,7 @@
 """
 # %%
 # We open two example rasters.
+
 import geoutils as gu
 
 rast1 = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
@@ -18,7 +19,6 @@
 
 # %%
 # Let's plot the first raster, with the warped extent of the second one.
-import matplotlib.pyplot as plt
 
 rast1.show(cmap="Blues")
 vect_bounds_rast2 = gu.Vector.from_bounds_projected(rast2)
diff --git a/examples/handling/georeferencing/reproj_vector.py b/examples/handling/georeferencing/reproj_vector.py
index 566ba7a8c..82fdcfd33 100644
--- a/examples/handling/georeferencing/reproj_vector.py
+++ b/examples/handling/georeferencing/reproj_vector.py
@@ -4,10 +4,10 @@
 
 This example demonstrates the reprojection of a vector using :func:`geoutils.Vector.reproject`.
 """
-# sphinx_gallery_thumbnail_number = 3
-
 # %%
 # We open a raster and vector.
+
+# sphinx_gallery_thumbnail_number = 3
 import geoutils as gu
 
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
diff --git a/examples/handling/interface/create_mask.py b/examples/handling/interface/create_mask.py
index a21a56d79..bce36f9ec 100644
--- a/examples/handling/interface/create_mask.py
+++ b/examples/handling/interface/create_mask.py
@@ -4,9 +4,10 @@
 
 This example demonstrates the creation of a mask from a vector using :func:`geoutils.Vector.create_mask`.
 """
-# sphinx_gallery_thumbnail_number = 2
 # %%
 # We open a raster and vector.
+
+# sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
diff --git a/examples/handling/interface/polygonize.py b/examples/handling/interface/polygonize.py
index 0d241a2ae..aa00a999b 100644
--- a/examples/handling/interface/polygonize.py
+++ b/examples/handling/interface/polygonize.py
@@ -4,9 +4,10 @@
 
 This example demonstrates the polygonizing of a raster using :func:`geoutils.Raster.polygonize` and :func:`geoutils.Mask.polygonize`.
 """
-# sphinx_gallery_thumbnail_number = 3
 # %%
 # We open a raster.
+
+# sphinx_gallery_thumbnail_number = 3
 import geoutils as gu
 
 rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
diff --git a/examples/handling/interface/rasterize.py b/examples/handling/interface/rasterize.py
index e7489d623..2ace9f6f3 100644
--- a/examples/handling/interface/rasterize.py
+++ b/examples/handling/interface/rasterize.py
@@ -4,9 +4,10 @@
 
 This example demonstrates the rasterizing of a vector using :func:`geoutils.Vector.rasterize`.
 """
-# sphinx_gallery_thumbnail_number = 2
 # %%
 # We open a raster and vector.
+
+# sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
 rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
diff --git a/examples/handling/interface/topoints.py b/examples/handling/interface/topoints.py
index 4b58e2f00..1a95e8e61 100644
--- a/examples/handling/interface/topoints.py
+++ b/examples/handling/interface/topoints.py
@@ -4,9 +4,10 @@
 
 This example demonstrates the conversion of a raster to point vector using :func:`geoutils.Raster.to_points`.
 """
-# sphinx_gallery_thumbnail_number = 2
 # %%
 # We open a raster.
+
+# sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
 rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
diff --git a/examples/io/open_save/myraster.tif b/examples/io/open_save/myraster.tif
deleted file mode 100644
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diff --git a/examples/io/open_save/read_vector.py b/examples/io/open_save/read_vector.py
index b6fb21700..a86aa72fe 100644
--- a/examples/io/open_save/read_vector.py
+++ b/examples/io/open_save/read_vector.py
@@ -27,4 +27,4 @@
 # %%
 # Finally, a vector is saved using :func:`~geoutils.Vector.save`.
 
-# vect.save("myvector.shp")
+vect.save("myvector.gpkg")

From d5b5ddfa2cb6c59e9c55d8b0a3c2278d2d717954 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 27 Mar 2023 15:02:27 -0800
Subject: [PATCH 145/184] Linting

---
 .gitignore         | 1 -
 doc/source/conf.py | 4 +++-
 2 files changed, 3 insertions(+), 2 deletions(-)

diff --git a/.gitignore b/.gitignore
index 4047e2651..3e9576d1e 100644
--- a/.gitignore
+++ b/.gitignore
@@ -155,4 +155,3 @@ doc/jupyter_execute/
 # Files that should have been deleted by Sphinx at end of build (but can exist if build fails)
 examples/io/open_save/myraster.tif
 examples/io/open_save/myvector.gpkg
-
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 0e87b4f12..f843bcd1c 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -82,7 +82,7 @@
     # directory where function/class granular galleries are stored
     "backreferences_dir": "gen_modules/backreferences",
     "doc_module": ("geoutils"),  # Which function/class levels are used to create galleries
-    'remove_config_comments': True, # To remove comments such as sphinx-gallery-thumbnail-number (only works in code, not in text)
+    "remove_config_comments": True,  # To remove comments such as sphinx-gallery-thumbnail-number (only works in code, not in text)
 }
 
 extlinks = {
@@ -125,6 +125,7 @@
 #        "special-members": "__init__",
 # }
 
+
 def clean_gallery_files(app, exception):
     fn_myraster = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../examples/io/open_save/myraster.tif"))
     fn_myvector = os.path.abspath(os.path.join(os.path.dirname(__file__), "../../examples/io/open_save/myvector.gpkg"))
@@ -133,6 +134,7 @@ def clean_gallery_files(app, exception):
     if os.path.exists(fn_myvector):
         os.remove(fn_myvector)
 
+
 # To ignore warnings due to having myst-nb reading the .ipynb created by sphinx-gallery
 # Should eventually be fixed, see: https://github.com/executablebooks/MyST-NB/issues/363
 def setup(app):

From f1027f3133d5e508876479b81ee31deb98c98d2f Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 29 Mar 2023 15:59:11 -0800
Subject: [PATCH 146/184] Update logo

---
 doc/source/_static/logo.svg      | 383 +++++++++++++++++++++++++++++++
 doc/source/_static/logo_only.svg | 371 ++++++++++++++++++++++++++++++
 2 files changed, 754 insertions(+)
 create mode 100644 doc/source/_static/logo.svg
 create mode 100644 doc/source/_static/logo_only.svg

diff --git a/doc/source/_static/logo.svg b/doc/source/_static/logo.svg
new file mode 100644
index 000000000..5793f9f4f
--- /dev/null
+++ b/doc/source/_static/logo.svg
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CvNaXnrQ/AAQQ47O+f0msf+M/p9Vzw6FSyXBmWI03otWb0fKrU6EpkvVPBehO59E4jKytwAQ4HEeCwo2mafkivFfgv6fViJvm54LUm9ZQ+jgYvn29V4WWYrgnvfD/mn2WIRwPtyv5xAQ43IsBhX7+m16r75/Qa4HMFXp5SltJr+EVhnquNQo9GpM8XKKlV6iMBntJ4BZ7vtwocbkyAw77+nF4DOw/v1lzovb7pXuVdBnQ+nepLZZlagNf656N9Kve97AevXe8c2IkAh339JfVPzyrv55V4tHxUeee3z9kt71+vDWRrVfv5NmtN7HMwl6PQy8umCm84kACHnbxdgezXVG96jn7vVeCt6jk6jawckBY1pY/uT37gMBs5nSxvaRDicBABDvuZm8t7p4rVwjLSC+zoPPD81roKWSvMo9toeJuFDW5AgMN+fkz9yrNspo6eKx8brb7nJvRWgJfb7m1zpAKPwlwFDgdzhAz7+THFp1yN9EH3mtLL9bQGtUUD2/KQHx2BnlLcitCq6D+MSp+m6dtpmr5562IAdqICh/38nOpTpEY/14Z2FNDzz0/F/VpTezQ4rbw/Gt7RAcFclc8XOPkcLANsIMBhB2/VZasCzx8bDbHaqPBakLeejwI8r5bLn7VzwUdDvDwvPB9QB+xAgMM+vkvxec+1invvEM9/zn3UZXh/TnGfeEofm81bVzUbaUaf9+Gb9PrZzM/9Nvi+gQ4BDvuYZ1orZyIrB5XleiEeBWZ07vfn7PGoCb3X3N1TOwjJQzofyPZt9nOexGZKKX2Zpunl5eVFMzrsQIDDPn5K70M8OqWqNa94TVRxzwH+e3of3nPzdB7itab2miVTp9auRjZX3XN4f5e+HlB8ettnYCMBDvv4Nb0PrbIKbzWvt0SV81x1/57ifu2yEq81dZdGm81ntfDOWyLmz+T3JMBhVwIcNpqm6Zv0WoHnAV47J7p38ZJ3q04fQ7SswMvgTulr03nrimSlXv93+XPkeuB5E3o+PzqwAwEO2/2YXpvPv09jFXirCs7V+r2jirtsZv+U6uFdvm7eVu887Vpffm25sjIX4LAjAQ7b/Zxer/udB3it/7t1be0oGKM+72g0eVSBlyGeb6sW9tE+RKeV9U4tywe4ubwoHECAw3bzJUTnudC/S/VBbLOoPzoK0DlkyxHntcFt8/SpvQq8nD89UgZ2rTUhap6fly+bzwU47ESAw3Z/Ta/hXVbgZeD1ZmmL5OFdjjqvBXNrAFvr1tKrvqPlVeBwIAEOG0zT9EN6bT7Pq+8ysKPBa2Xolb+XA9Bq06FGVyPLzwlvhX1vUFu0/72LtMzLRFcqE+CwIwEO28yjz+cAzwdq1UKyVfHW+qpbzeBRBR6dXtarslP6WGGPzIeev64M7XJAnwCHnQhw2OaX9Brc8yQu36Sv1XNK7QCOTimr9S2n7PFWJZ7Sx0q8VYVHalV37720zgv/Jn08OAA2EOCwzTyBy9z/PQdVSu0Qz5/P1Sr18n45t3k0kUvtWuC17UXzoY9W4PNraiFuEBvsTIDDSm9XIMsDPA+rXBRaI83ZUejWmtLnn/lVv0ZDfA+10eqtmeiADQQ4rDf3e0d9veXo8+g0sp4lI8jL6jvfRq8loNxeeX/WCunWfo++X2ABAQ7r/ZjeNxNHo657VySL1JrNo+XKKrwWnL1+77LKj+6n9P5gpLzf2k9gZwIc1vspfbyE6Gh490KtFsatx6L5z1Nj+XJf1lTgtRBvbQfYgQCH9X5O/cq7DLfcmhCPHh+pxGvbG30suthJbXKX6HXlfWAjAQ4rTNP0Kb1O4FIGVFShRiO5hze14JafPrakeb00Mu95Cn5Gk7d8uELZNE3fzut5eXmZT30DFhLgsM53KQ7nVngvbUJuDT7rVd69875H9mXJaWT5gUsU4mWY5+enAysIcFhnnnVtlgdZr/l8Dr5ek3LUJ12e711O5lL2gbf6w1tq08DWqvjoHPBWJf45pZSmaXp5eXnRNw4rCHBY54f08fSwsgl9z+bz8vdWBd6b+7yn9z5q65qnUo1C/NviNq/nJVgPMECAwzrzJUTLq4+1ms17VXcZZL0qejTgU3A/ujhK3qJQ6wePmsyj89xrzelzgOctBsAK5QQMQMfbIKyf0+sgtvwSotGkJn+8bOlmgltK/bDuVd15eJfXF5/lLQr5e4r6+2vhnb+2rL7LCW+AFfzngeV+fLvN1wDPzwHvTdYyEuRLw3nNrXahk1lvJH2vr7+swPPwnmevE+Cwgf88sNyv6X2Al4EUXcxk1JGhXa6/vCDKrHY6XP5eeqfL5QGeX5XM5UVhJ/rAYblfU3v2tdb5061BW1Fz95KKuvZY3mReVt35tnKt2dai0G2dO56vr/y8BDisJMBhgewKZFE12QvxlN5XsNGgtflnFK698I5OI8vD+/e3W151RwcTrSlTexdlGanIv0sp/T1pQodNBDgsk488X1KBp9QO7/z5KMjX9G9HId4K71ofePS+ohCvDWqb0vsAnz+7TymlF+eCwzoCHJYpr0DWC/HZlP3eCqtaiI9U31FTehnetZHnuVYF3jooaTW1R33imtBhAwEOy/ySvo6kzk8diyZzSSmuVFu2Vt9LKvPafo1Ww7Um/+gAoHbBFwEOKwlwWOaX9Bre+QQutfOjW+EdBVevCT0Vj0e38vlyPdH2otfU9itad6QW3kahw04EOAx6uwLZz+njucxRn3Y0Aj1/rhZ8e/WDt0K9Fe6t5Vr7Gr1mDnGnkcEBjACFcd+nr0GUN6FHs5DVTiNLKQ7DlNqBuCScy3X2KvHec+UySyrwvPIu7wtw2EAFDuP+lMabgWvBNKWxCny+X/ZfR7clYZ+C32vbr/Xlp8oy5evz56NJX4Q3bKACh3E/pXgu76VBtLQCn0eO/57ejyJfE+KtII/Cu3YKWe+SqeU2Rip8YAEVOIz7JX1sBl47bepIBZxSfSKW8nzu0dCOthEt0zqNrFVV5+tr9ZsDGwlwGPA2gO2HtE8F3t1cccsDvFaB18I8WmdKYwcQn9LXJv/oVLnRChw4gACHMfMAttbsZLle1VsTDTrL5zHPwzsK+k/B47Xwbg1AK8O6fC5aZiTEy+r9m5TSN9M0fUkpTWZkg3ECHMZ8n+KQiqrR2WjVm4tCOQrefGDbkmb0rQHZapqvfQ7l8/lI/u/T6+DA31NKn6dp+l2IwxiD2GDMD+ljc/FoP/DoAK5aePduI8tF609pbL/y/as9NjqV6nzLAzy/rrrvJBikAocxP6R2Bd46nWrJCOylIRyFeSvQy22V+7p0/3JliJfbiSrwH1JKv2XLz/38QIcAh45pmr5NrxViHkzz4K6o8kzZMmWQdzeX+lV1Ch5beipZrVk+t2RwXtQfHj1WBvhchc/9+9+m10AHOjRXQd8P6bWfNmrmrZ0T3ZvgJFIL1bXB3ArqaEBcbvR8715/eG20fhnm+UVOgAEqcOj7Ob0P8KgZfWRik6UhvqQZPXq8ts781LPo+uB5eKfUPjAp9z1aRxni+TIfplZ1fXAYI8Ch78/pa4DnVWJvitD5/hxsvSbpVnN2Kp7besuvET6Hea4161rKftYq8JS9JppyNqrAzY0OCwhwaJim6SWl9NfUbkJvhfi71Y1sMn0M8j36tfOfrUlg5veUv79o9H3t/UQVeNQykT+XN5/nBz1AgwCHtj+l97Ov5bfeOc+50Qo8auZeM0CtFfDR9vJttvYv/9maxGakX7zVHA90CHBo+zHFl8Esm3zLUIv0qsooTHvV9dLKvPZYqwqPtp+/15H3XFbc8/1oWWCAAIe2n9PHyrusvmtNykubgsswbYX41uo739/yoKFsQi/3r3yPvQq8DPGoAhfesJBTNqBtDvBaE3qt8oxCradXga8J8tZytW1Gp5VF7yWqwKNm+nxZTeiwExU4VLxdgWxuQv82ta9EFjUxp+yx0Wp8a7Vd9p1/DtbZ235ZgZe33kxrvWb1fNnaIDagQwUOdT+k9+E9WoFHgbmliXhNiOeniLWuHd7avyi4a03ftYBvdS/k4e00MlhIBQ51f0px9V1Wi/m53lET8mg/bxSq0e+10C5/5iE+0heeq1XdvW6DkbEBU3q/3m/TxxYNoEMFDnVR83kU4pFoENeoKPBGK++yGT2aLrW2b7Ugz8O7dtnUedneyPRoQJsKHFZQgUPdT6k+w1pK9bBa23QeBWurT7z8PeoL7w1ga+1nq/+7NuFK9Fm1muGj57+ZpmlKKU2mVIU6AQ6BaZrmynu0ImyF+PBms59LB7OlgeXKbaTK6yO9CjzaVhna5YC16KIw8/N5NwAQEOAQ+y7Vm4rzkGs1G+dBVqtwS72wzZdpBXz5WGt95f6W+xhV3nn/du1gIgrwkalVv83WI8ChQh84xPLrf/dOAYv6e1tVce3x0VvrtbXt1X4v75fvK39/tQo8Uqu+e7PYvZup7W0ueiCgAofYPAK9da3v3qCtWijWDgbWBvrag4BoH1sHKvP+t0TbyF9X6xMvm9jnZvRPSRUOIQEOsZ9SfP53LchLU+Px2mNLKuetoR2FbKuJPXqsd8ASNd/n98t+73yk/zwBjQCHCk3oUJim6bv09dKh5WljrWt/f1hV5VZ7fs2Vx3rbaT1ePp8/Xr6PaNn5fbcGtEWvn18XVd3RRWOAgAocPvohvQ/vKMRb4d1rhm6F6NKQXhvm0X72Ku5o2V4rw0gFXlbh8/3PlfUDSYBD5MfUnnUtBT9LvRDPl7vFrZwjPbq1Ar58P70JbHoVeL6eaJDbH5/7NE0vzgeHjwQ4fDTPwNabaS3/Od+fw7IX8NE69qjCo9s8pervb7ff3m7z/e9Sf6a22kQstXBuNbvXqvGX9LEJfeQsAHhKAhwy2RXIaqdLRUHSCvEpWEftdeU6WkHeW66svucQn4P79+J+Pmd6tE/R+eDlcmub78sm9dpkL0BGgMN78/nfUQVehvdI6I5U4NFje1Xh+Zzov6d+eEcVc0rrZmKLwrr2/qOm9HwO9i+VdcDTEuDw3p9S/ZrfoyPNvxTLR0FeC+8jblGAfy7uj1xydH5PtfCO3t9I03d0Xvg3wbaAjACH935Mr33C8y0ayFaqVd2t8GoFeHlp0LKazu+Xj6X0tWKtDVAr111W6eU57iOnt+VaE92Uk7Z8Tv1meSAgwOG9n9NrcOfngUej0FPqV769WdfK33sBO9JUnt5+fkofw73XxD7f8rBtHQREzeVRYLfmQ6/NjQ50CHB483YFsj+lr9V361SyqJ+3FmofNlX5vRfcZfVdVuLl6z4F64wq/KgCz4O1tq3yOuMpLa++8/O985aLqLIHMgIcvvohvQZK2YTeG5E+Et4jzelRMNYCuxbMKdUr56iSLsN7btLOg7b2ujVN6K2qXPUNCwhw+OqHFIdJqwk5D8rckuoxD/A5TMuBZ7+llP6e3o8e/z19DPN5PS/F+j4Hv38Ofv89vQ/V2ilm835H/fGf08cDiFqffbneaBQ6EBDg8NUP6WNfdy2kWgGe94G3RM3wtVD9rbjVTv9K6WOAR0H+uXMrm9Cjc8RrBzLRrdXHn39e0WQxQECAw1d/Sh+Do9bPPD9eBtyUxicf6QX4l1SvwOefUTP2HOBlYPeq71oVnlfU5f72qu+RQM8PfspzwYU4VAhwSH8MYJvPPY4mKokGfs3h/ZL9nJcfbUIv+9Gjpu48tPMK/PdiHbN8UFgZ3rUwL6vv/HSy+dKeZR9/qwm9bLbvhXnKtie8YYAAh1ffpY+VdykKrPx0q3l0+qfK6yNlIEYBWwvF2qC58sAiqpBHm8/nCvz3YLklFXetKb1sUs/fyx9N6m9T3E4uagJfCXB49V362vRdG1U9P5eH4Uv2Mz/FbLRyHAnwqJqthV5KX8O7NpCtFd7RRC5ReLfWt7VJfZbPjf45pTRN0/RFiMMrAQ6vvk/9Cnx+PA/vsgm9Ne1qbX1ln3It9KIQj6rwsmWgto4ovFsVeC3Ia03oIyFeq8jnz7A8nW1J9wQ8NAHO05um6SV9HcAWySvrqM+37ANf0m8bBfiSvuSygpQMbmMAACAASURBVC8PKmoHAq1qvJy0Jg/uVjU+GtxR/3mtAp/7xD+/PfZl8HOFhyfA4f2FM2rzcdf6bctm9NRYT6TVhF6G5UjVWlbftUFm86C4ebrY77LHywlX8u3XTgGr7U/UxB91Ucw/o1nb5gp8Hl/wOQECHNLHAI/mO/+SvoZiPkgsH6VdBl8rtGqD5MpqNz/fOwrkqAIv97esdvMA/ya9fg/8lr6GeFmBjxw8tMK7FAV27TafHTDvlwoc3ghweD8CPZrIJQ/MeYT5/Hi+3Ev2fNmX3gu1+bm8mXo+ZWwO9FqT85YK/NPb+88nh4kq8LL/uRfctSq7/D2aXrVWhX9KKb1M0/RiIBsIcEjpY4DnepVmHqxzeOfnkfealMuDhTmsy/CujUAvb7UKPP85B/gciuX0rGWQlk3oa6ruSKvyLpvPaxeTgaclwHlqbwPY5ouWlIPQov7pvBKvDVybQzyqVvNl8tdFp3zV+r+jEE/pfXBHy5Xr//3tff9ebCdvRi+b4ctbrWk/ek3+3kcDOGoVWTJIEB6WAOfZzYO48iqvFlR5MJZN1Xn/bO0AIBWPz/fzqrk2artXeefbqYV4b/15eOc/y/72FKxzyYQutfAfbY4HkgCH79PHAE+p3tc7B/cccCm9r7bn51uBXcpfO3Lq1Ujg5fsxGqRRX3lZgZefSb7PS2dli8K7fF/R5wQkAQ4/pK8Bnjejp1QP77IvNqqwo770mjzAa5XxSP93Xs1H4TxakdeCttznpRV3WXWPtigAAQHOs/shvQ/vaPBZq/+3DMxaP20U6vPj88+llfeX9DHs8qb96LWtg4Oo8v4cbC/an3KdtYOF2vuI3m9J3zdkBDhP6+0KZPMAtnnEc0pj4d2qGntqk8WMVMm9ajUPxTLEo5DNfy9nUcsPBGrhW/u8RloLyvVEn1M+Ij06SwCelgDnmX2bvp6mlFfgrYAuRc9Hy/aq81r1Wgu+0RDt9TePVOOtKr72PpYciET7P3t3Dnjw2cHTEuA8s/kKZGUFntJYlVsGWypen/+ctc41H23iHq3CewcAvebzWrN3VDkvqbxHb9E54UIc3ghwntn3qR4OS4Jmbq6eX1f7WZvprVUxtyrv0QAfrcTL5vOoRWKkih4ZpNarvPPWCuENAQHOM/s2xeGRUn9Gti+VZcuqtLyfB3m53loFHl0FrBegeQDOk7XMLQ3z/OfR+4tCfOkBQUrxZxoZnY1NeENBgPOUpmkqm8xTqgdOGV5lkEQX2SjXVfu9VmHnP8tLebZGbM+/z33Xn9LHmdfy1+YBXQb35+z5VCzXqsZ77z3SCvKyCgeSAOd5fZPdrzXfpmKZObzLsK69pnx97X5U1eaVcB7AUWim4Oe8P61pWaP3l4d47X20+ulbTeWl0eq7rMKFOCQBzvP6pvN8rS88Cu98+ZYoxHoV7fz7fKGRkYCcDzTmCju/cMl8ac6oSv6SvbZ1ze3RyrvlJbjfq7yFN2QEOM9qHoEe9a+2BllFt3wQ2xIj6641SY9UuCm130d54JC3MkQD7qJ9iB6vVeK1wI/6zWt96S8ppU9vXSCTy4ryzAQ4z2oO8Jc0HuKl/PGyMm/Nula+vtWM3qq4R5qoWwcdtebwWoDnrRLRe4veSyvQe++r3E5ZlX+ZpikJcZ6VAOfpvM3A1upbXVIVl4GXsnU0d2PFtqLXpmCZ3vtonaJWC/C8Sb53QNPbViu4a59N/t7yIP+S4n2BhyfAeUZlgNdGN7dCJqWPwRGFaO35cv1Lbin1g6+2jdb5370ALyv6yJr30aq+o/D+owJP+sR5YgKcZ/Rtan/x98J8vuWnWJWvbwVcuc7olLHodLE0cD/fdtnkvbTqjw5Y5lH4aw8+Rt5H9FnN7ycP8GgZeBoCnGcUXXlsVo6ITtkyecjMA9dGKu3a82V4R6eP9UK83N4cstE+j9zmqjavcNd2MUT72Nun3vvLW02mlNLLNE0v+sF5RgKcpzJN00saq8Bb50FH1eKq3Unvw7usvvMAL0M82pdWBT4a3mWQRwcH0fJrqu/W+8kfm5UVeG0/4SkIcJ5NXn2XFXhr1HUZdJ/Sx3AZEQVWbeKW+VYLv2id5baiQCzfS2vEe77d+T32lq9V09HBTyvIy32v9YHrB+cpCXCezXwJ0ZHJQaJgLKvQWW2Cl5bRanikgo0Cr7ed2mj01mlkrVPTWkHcWzbXGkSXh7jw5qkJcJ7Nd+n9RT3KUei9wClPp1qjFsTl40vPA68dcPTCe3QU+vy+W+eqt7a5Nrjz51zcBN4IcJ7NHOBleEcD1qKw2RLe5WtaA9RGKu9ak3S5zZFKfyTAU3of4OU6yu33qv3cS3F/pAIX5Dw1Ac7TeJt+szaJy7tFG7daBb400Nc0OafO/bTwvZQzpY1Mp/qSPoZ+7b20th/t85rgFt48LQHOM5n7v+cQj0JgJIxqo7NHtAI7eqy3TLl/0fZq4R2NdM9HdUdhHm1/ZHu9z6GlHFRY3oenJMB5JvkAtjzAW825UUhGFy+pVcD5c7XHa0E3Ur32QrwV3uX55rXqu7bf0cFPtA+RciBg7yBmdL3wNAQ4z2Q+/7tsOq9Vial4Pg/78vzjfF1RqLXWWwuuaB29EO9VpnmIR+ecj1TPuSXjB/LXjDS3l/udgsfhaQlwnkl+CdFoFrWRsG0936pWo+d7zeW9CrVcf/Q+onXVJo5pVeGfgnXOogCP1Fo8Wu+jVoELcp6eAOcpvA1gS2nZ4Kc8QPYYed5r3o4ea1XEtRCvvbdaM3qrD7xsccgnsGk1tbeq6Gi/yp/RsvrAISPAeRbzDGy5VviM6FXdI48taa4uX5OCn9H9pQcIrX0qL9852mTf2n75Psptli0BUyquJvd2gDaZE51nIsB5FuWgs1xrNHpPHuJRBdxrLl4bpq2KvHZQsfSWV93Ruma9KjwK55GDhXzd5dzn0WllqbIOeEgCnGfxTeXxLeGdLz8ycG1JZdzaVq/q7m2jtkwU3lFojob36H6PVt9RBZ6H+BdXJuOZCHCeRdSEHukFSr7c6Gjz8nX5ultNyr3nyu1G4Re9j1Zo52Fde/9RBR69x3Jb0bZrr5nXO3/OvUld8laCz8E+w8MR4Dy8t/7RsoIcbY6uVcV7DGor1z/a1Bwt09te64ChPC88pfZsaOU86EuvTBbtb7mN6HOKlKcFGtzG0xDgPIN85rXS0kDdQyvQomCuBWJKY0E3GuLzKWUv2c/y9LFyhPpIcEfvtazg8/AtQ7z27xA1rb9oRudZCHCeQX4N8NySKrd8zRa9QG091wvy1nusrTefyGUO7rzSLivj6EpkSy/KUlM7Na120JI3pe99oAWnJsB5BvMUqnkojIR3+XwKXr/GSKjWgjZfPtqPXgWeP9aqwD+lj1cZm997LbhHDjbKx8qqu9UMHr23vAL/kj0myHl4ApyHNk1Tqy+3dgtXVfy+pq91NLBr19ju7VMeiL1tp+D32gFMSu8HlKXssV613DNSqdeq7/z1+cGGfnCeggDn0ZV937X+1trvKbWDsaVWHdcCu1XZLt1W9Hhvf6L7+bJRZTvyuZSj4WvvqRXivWV764aHI8B5dPP5373Qzn9GtoZCFN5R83NtdPfIupfsZ6u6jcIwr8Dz15SfZbm/UeWeimVbTezlvkX3BTdPSYDz6PIKvNVkPtKMvlSvubcW3FF41yrSNdV5tM5eM3ZK/fAe1aq+a/sTva7XagAPTYDz6OYrkM0j0XvnDM9hUKsol4qqxWh75e+tyrL1+Mgo9NGfo03drc8nWqY8RWzt51sefMFTEeA8rLcJXObwzmftiprPy+BOwe/544t2pdhGrYm4dxvZRvT7aEiPbDc6DzxfZ20ilq1q62uNXYCHJsB5ZN9kt9Z1wEt5mLdCbIlelVpuu9aMXqu8y/uj54NH6+1Vx6MHF7Vlys8vej7a91QsowLnqQlwHtl8/nce4q2+7qj5vBYmI4HRay7Pl1laCZdhW9t+L5h72xwN8NEDlNbBT21bpeisgvy+MOcpCHAe2bdpXb93yn7f0kc7r6fcTn6/F5xRdd36vXbwEVX1te3Ny823T9lztXDsVfz5usvfW+9xhODmKQlwHlk+hWqr4u6pVYZLq/BWWOah2Qrvkeq1DPIykEdnT8uXLa+5nbdERAcK5T7XDlxq+19Ta24fORUQHooA5yFN05SPOi+nUU1pLDB64d6rSHth1ruiV7l8bb9q4Z0/VoZ4rxl9ngN9/jm/p09p7PMaPQhpvdfRalwFzlMS4DyqVn93LVRqFfnSZt0ovFtN563KuKZXkZfbygO515SeX8Dkc/rahB5dMKRWgbfef/lY+T5GWkbWNLXDQxHgPKpyBrYlp4PNVWzeTFx7vFxHa4R1Ldh6oV17Lvo96gOvbWdkX8pgL7fdOuDpHcRE93t6k/KoxHkan/qLwCWVp4strdhGm4mjEK0F5Mj6o3Ws2a/W/taq4V54jyzXq75H9nNWC+VuQL9dxAYemgDnUfX+tnsBukQtcKOgHFnX0mV6QVg7yMjv73mrbaPcXvlcLgrg6PSxagUuxHl0ApyH8zYDW3ORgee2BPyWyrtcR68SX7K+8ufaW2uCmdHqu7XvreAdCWUhzlPQB84j6jW71r7Up9Rudt+rSb5VubbW3QvAfP/L95Iv32rSHqmqa8FdrifaRrnfSz/HlPr94Pkya9YPl6AC5xHVRqBHX/ApjQVorRJuvaZc95Im6JqR7dfCNH+ut8zSMC/XM/JeUqqf8tZ7ba85/Y/nVOE8KhU4j2iegW0kvHNzcESjy0f0wrXXFB0tM7Kd8vWt2eZa+9Orrnv3R8O3JnpfS4J8/j3/t1aB87AEOA/lrdqKrjxWa3bNQ2fkVLOXYtkoIKLnasHdC77W47Xt58v0mtGjbdWq7NpBQG3f1modoOSif9OUBDhPQhM6jyYK7l7lXVOrWMv7Kbjfq05HmqnLfRkNtmifRyrwkf0audX2t7bPS87RL1/TCvHauuEhqMB5NOW1v1tqFeocHnm1nf9srW+WL1sL9/z3vSrysoWg9vpybvTeHOnltntBXXt/5f6ObKO23lnUjA4PTwXOo5kvIRoNaFpaHdZ+HwnbkYo0X6Z2IZPRAIz2uRaA+TY/p7HTwvLXtN5bbSa00c8sur/k1LFFE77AlanAeTTldb9LvabZfJnolKxWsLQOCnrb7VXe5XK9deYtBlHgLqm+o4OKUbUDg/L50Yp+RD6+IaV+ywlckgDnYbxdgWwO716It6rTsmqPAmBJKIxW4SO3aJ3RftWa0lshXgvtXnAvOejIf29V4EvUTiGbnxPePCQBziOpXTY0Crko2Eaq7FQsM9LPXu5Hrzl8JLjL+73t9x6r7WMU4GUo1gK+FtytZZaqHVyVVTg8HH3gPJL577nVdN4K3FrYLakuo/WNBHCrMi+309ufaN1LmsNry0Q/a4/1gjvax1mt5aRUOwd8yTrgslTgPJJvUn2mtdxo9Z0qjy/pW+9V4L0m9XKZkRDvaYVu9FxtRH3tteVzrX2I1tladtaqrrecOgiXoQLnIWQTuKS0rnpb0r87Gp6jFXivwl3azNyrwpe8vtYS0DrA6IV8L7yXhu/SGffgIajAeRStL+vRL/K8Ei9/L5vgl4R4r8m59ro1j9XOa28NZptv82C2l+xnyl5ffgaRJU3Xraq+pTbCvHYKmSDnIQlwHkU5gK02vWar+Tz/PQq9+fnIyLnPKcVhXj4+sr2a3v5H28rDew7u/BS0fNmRpuuREF/yPpecElbug/DmYQlwHkWtO2jki7xVeee/t4KrVh2PNDdvDe01ak3in9PXz+tT+nhAUDsw6A0eazXHl/tU+738nI0y56npA+dR1EJltBrrNWW3grcVIlH/79K+6KVa1Xyt6i+r8NZ+l+sp+5zLz3u0O6D1eDTivEb1zVNQgXN52QC2NYEdjVYv+37L5/PnWtV5q6LsBWPvtbVlan3g+XNRFTwS1lH1G41Q7x2o9A5MtrRK1A4m4OEIcB5FHtrRhUzKUKmF9PzYvM5WAPWa1mtBNhJg5euj56L19Zq6o4OI2v1WgEcHBEtaF3pGtl+Kwvt14Wl6eXl52WO/4DQEOI8gP32sV4GXoVALu16IjyzXC/8lFXhr2yNqAb1kX0YPVNZU36Ovq72+Ft5//B0IcR6NAOcRjDSf9yrv8ot99LSp8vWtank0nFsVeKo8Vj5fG3gWVfS1fS6f+5LicTO90F9amS89kIgGt+U/o2Xg8gQ4j6AV3tGXeSvIS2u/9HvhvbQCH61oW6fJRcHdCtpym73R9r19q4kOIJaIDrTCPnBVOI/EKHQu7W0AW625vDZyeeQc5bWhsqTSjF7b296S6n30daNN1r2AT2nZ4LHW59za39p6WwczBrPxcFTgXF2tubxcpidqgq1Vr6OWVuFrt7Nmn6LHlzb5zxV5WQH3BhCOdAG0ttt6zbz92iltaZqmpArnEajAubpPqX3t79bgplmruXrvL/rRPuI1fcetbZTP95q9W++/9fry32FpM/po5V07KIuqbpU3D0kFztWNXMCkNhq99/h8f0uI15qiy8fy53qPt4J5tA+8XG+rNSBq0eg1d5ch3rvVLPnsW/9WW1pS4JRU4FxdbQT6SBXY6s/dowIfbSpfW2lH2xr9vbeuL9nPaGa21Lgf/T663dbjvYOGWe3vQUXOQ1GBc1nTNPUuYPJu8dQ+57v3mtW7mfrBvXR90Xry+71R9aO3+cImn1J8CtlLit9fqytgpAqPPpfe51SeNjc/Nt/m9+B0Mh6GCpwri0Y8LxkFXaqFyVqtpules/FouI80P4++h1aQt0J2r4OTaB29ZSK1gzqVNw9FBc6VRc3nKdW/qHsV9ejpSaNaVWSr+ixfU6viWwE3MpK+VwHnFXi5XP45tsJ6SQUerWOkEo+q7/nx6G9DkPMQBDhXVo5ArzWD1wKtJQ+qNcpwG2n6vlXTbisso4OEXsjWlP8uWw6Etnw+o+f/w6VoQueSiiuQlRcv6VW2I83XI8u2Xt+rKtcG49rlalV767MabQ0oX9+rcvcK5Px+L6SFOA9HgHNVa0YYL6l414R4r+oeeWw03JaEX6t5u/x9tPIe3dc9wrzWbL6U8OahaELnqsrqe/TLudU0nvejliPWl4R4rYItl+ktu6aPODp9rvZey22U212yD/m2Rro0eqFfa0EYXT5/Tr83D0kFzlVFX8ijzaQjVXovhFuvjV7XajZfuq1e6I++rlWBl8+PHHSs7Rao7Wfrfm35mdDm4Qlwrqr2t9sbbRydA57/jB4bCaKtoZr/vrQ5eYmREOx1NdQORmohv7ZboNeCAU9NgHM5bwPY/vg1WGTpeeGjIT4SVrX1tLa79Lk1r22FY+191yrwaLmRCr2339F2eq9Z01ICD0GAc0Wtkca18B61pWk7Wldt/b0qt1z2qKqzddBS7lsrrGvrHQnk1oHVmn8LTec8BYPYuKqlo897X+q1ZebHlzSj1+63KtI1Tc211ofR1/VaHMrXltOU5o8trfpb26o9tkTzIG+apheXFOXqBDhXVM5xXQZ4Hiyjo8ij5XuTv/Sqz/z+aNP7HlV/7730thn9bH2evSbuJQcua1saooOs2kHeHOKvvwhyLkqAc0X5JUR7p5KNVN/5cr3ga72+9thIwI2G9559vlsq8BT8Pj8W/Vu0muf3CtDev1UU5sKby9IHzlX1mtBHm7x7/ay9ft5eALX6gnvrWluV9ir62vsbXbZWPY/sT2uZtZV377HWoMaXYlAkXIYKnEt5+7Id7fv+42WVx5f0m2+twEea1cvHWuurbXPJTHStdUeP9SaJGQ3gVpP53i0LZb99/hMuTQXO1dSay1vBM6JXfS7V24clzep7vo+RZvPa9lutBNH6Z0sPslrbb72utky0L0KcyxPgXE15BbKerRXdmte3gnF0W73m/T0q1dY+1EK9XC4Fz+f383+jkTMBthh9/cjcAHB6ApyrKa88ltK66rtV4S2t6qJl165rtPIc3YfRirxXmbfWOVKBbw3KJQc/kahfHC5NHziXMU1Tee3v1pfwHoGxtH93abXaayavhX8r2Effd20favtVG6G/9CBj6XuurWPJNmfR6WTl+4DLUIFzJZ+KW/Uc3+w1rQk9crVqshU2kVbo9oK7tY2l269V1NHtS/bzS/B8tI5oW739XxvY0fLl65YezKnAuTwBzpX0KvCjm0lHKtVy+fJnr4l8tKl4a8VYC/Fo30aa2XvbuoXWv//o3wxchgDnSsrqO6W4As9/LjESuCNV8pLqd69Aru1Hr2XhS+V+K8SXHHgc/b5KrXPAy8eEN5emD5xLeDv/e7QCX/rFPPeDlo+1lu89t6aq7v2+R9hHYdy7vRT3U/F4bf297eePrdEK8aiJXWjzUFTgXMURzeH5z/LxW7l15Zo/1qvOR15Xa52oLRc931tv9F5av/c+u6UTAcEpCXCuYq8v2toX/B6BOVopj4bTyLp6+7Jk+d7nMhLAS7sGovW09qH1+9p/QyHOJQlwrmKPv9VWANWWu5UlgbfnemsVbKvfe+lztQOW2n6srbyXENpcnj5wrmJ01rVoufnLvey/LV9X9vGu0avCl1SYa9YVva/yNUuancvPZPTc6ZHWh95+jFTnS7ef0sd/6+T64FyRCpzTW3G1qK19qGu1Anfvpvs1rQcjTdWjzf6tAM4f7/U17xWaa08PU4lzWSpwrmJkHu2ly0TV5Xx/jVpw15ZtHTz0Dgb2MLpveQtGGc4j+7L1AiKj731kf2oj1OFyVOBcQS8A1oTb3tVwFLhLquRaM/nIa3vLrGnqnp+LWhFGm8BT2u/qX73gju63lvvwnOuCczUqcK6gFdwjlfe8bK8PfL6/Rqt6ri1Xe2y0Dzx6bM0Vv1oHG7XXtKrd3j4d3dcctRQMbVdfOFeiAucKevOej1Zg0TKjlW/LaAvAnlX/0teO9sf3br1tr2kBOTowewcozgfnkgQ4p/bWrNkL772+gNcEyR7N7mvW1QvQJZV+tNx8y6dXTZX7vYDvBWhrX1rLLj34iloGlh78wWkIcM4uCupWoC9Zb2RLiI4EYqv6PcJIcEb7Vob3aAVePtcK8qXvecl76an+regL5yoEOGc3Gt7l8tF6atZUwnsG7t7Nya0KdfS95RX4HkFee3zrmIM9ukDgkgxi4+yWHmTOX+RRP3drkpNyma3N2VHAtPqV9wjG3j7m763WhD9aweafV2350Uq29lm1lt0i3+f8YHBK7fcDp6IC5+xafdxbK+VWiI3Y0hzeCvS9K/LWukbCfMv+Lf23i5rcR1pIRsZD9FpqNJ1zKSpwTmuaptYBZllRpvTxC7hWZc9ar9/atJvfr4XSSEC21tXbjw9Thg68ZksFvvQc7NqBwNqDohHRv3legcNlqMA5s6hKGm1eHanaompyy5d477Wjzenlvmw9mBg9gChfu7QCr31+o+MPeuta+znUqu2Rx+C0VOCc2ZJBarNaNb309y16VfjI8r3lasseOeNZtFxU5S9tZl/TZTD6OZUtBLXXjS4Hp6EC58xa5+guHSBV/n7EF3RZNdcq4KXrPPLxaJklTfzR+12yzb2tOQCIDhTh9FTgnFIxgcusdvpY65zuVqU9tCvF71GTfu33rU3fa9c7+j5b4Tv62rICL0O+DMqXYtlyfVuomnkqKnDOqhdAI+Hd+r32WP5cr9+8Vd3v0Qy/dJ9r+zKy3Mi+rK3A9/g8erauXxXO5Qhwzm50utQlX7ytYB4Nm5Gm+VrwLa08WwcMrf1e0p8+us5yuXJdrf7v0YOJvSvzlrCbxmxsXIEA56xqs65tVYbErZtu9wqnNX3dvfe8NNRr93v7MbrdI1+/ZGAknJIA56zKK5DNjvii3dLEu6RJe03A3aJfd6S7IP89Cu5aqOc/o8d6P/fWCu69DxbhUAKcs2rNfb6XWkAteX3r9yXLjTZdb92vkffb+lxaXQKtA5SjAnlN4Dv/m4cgwDmdov9x9Mt1SdNxL1yiMF3a37ykmXpNk/ZSexxs1D6nVPzstTQcXWWPENpcngDnjEYmBakFRkr9AGk9vtTo9lvV7uh2tuod5LSq81qTeflcqTZBzkiwLw36ex4QwM0JcM5oS2XUC+y9gnAkkJcEZm97S420SES/tw5IRivw3n7t2T1QPrZ03apwLkuAc0a9c7uXNIXvqRc+a5qly3XX+pd72xjdp5Equ7WekQq8fH5NSK6twnvL1sZTqN65HAHOqWT931tnTOsFTLRM71auv/d8b79aj428du0+tNbdW2e0/dq2Wu9rpAWjZ2nlveRv6sW54JydAOdsWqPPo3BvBdc91EJta2CNvselj+fP9faxttzIgVFtP0aa1EcPEkab76NtmtCFyxHgnE0twEdPJetVoWubZkeq0ijgelXo6LZbv/eWLx+vhW+tCq+9dnQbvf1as/wRooNFOC0BztmMBPeW+c+XGGlGru1DKxDXNhNHv4/sR+31rf0bCe/oPbaW32JJU/3S8K39fb2kpArnvAQ4pxFcgSy6P1ohjTYFzz+3hGy5vV6T9Oj6th6QrAnSXngvaYWIHs/XsdWS5vMRS650B3cnwDmb2hdn9AW9x5fryBd/K7RGmstHt3NLtWp6zXsoX9f7tyovKbqkugbeCHDOJArk3hf42hDvhUQt0GpV+kjwjVT5e1Wno1qVfq8/O/oMbrHvvW1s3QfVN5fw7b13ADJbvzBHp1x9qdxfY49m7rXN9ntrtSbMn9X8eDTD2ug13Gvbjn5Gy/QeGxW18uTvEU5NBc6Z9P4ea1+sW84ZXxuce/RR31utBWFJE3b0WbYGle19Wdja49E+9M5mUHFzKSpwTqGYwGVNIPequ1q1lf++xdJm6L0HceVqXRFRy0P0XLn+vDItl2tV5b0+7dpnNFKNj4q6L3rLprS9ZQYOpwLnLPY477vVxHpkf/NoOJchsqTpx1d6GAAAIABJREFUfMkBQK86rT02Gq6t1/Se32qPZvRoLEIU3vN9lTmnJMA5k9YMbOWo5TXhOxqsW9bZCsHeemr7saZ671X+IwcArUo4OhAp19F7fs3Plj2rZaHN6QlwzmL+WxydtGWtkT7d0SBY2yw+chCyR9N7L/xGquM9K/Deto6ydnumVOXU9IFzFiPBPdrPPd8vf+bL9ta9pbqvVeG1wB5t8h4J894sdbXPo+zzLQ8yen3gvc+vFe5rqu1yuaMOCoxK57RU4Nzdwupmzbnio8ssdYs+39q6RkO/9nwrLGt9xOX7bd3vbWPE3uuDh6IC54pq1WP+e61q3HLK2ZJlR5qRa33KvX0YCenWKOpWy0Q0kjwK55Tiz3U0bHvhvKYKX2PNlLxwCipwzuDoc4OXLjMvt0fl2Gsy7zU1Lw3v1nKt/YoOJkaq79F1rnVUFW50OZcnwDmDowaqLQnBKKRaz7eCrbbNpQcFWwMxOlBY08QetRa0trNXk/lZCHpOSYBzFku+JNd8wR9RHfa2MbqtowNrr+2PVOTlOkcCfe3n1ltf6/Wj6xbenJYA5wxaA9N6wdsbdT1aOW7RqlCjSnakqr2HVnP1aBi2mv9nUfP1Parv6G+pNonQi1PJOBsBzl0NfikuaX5eWu1tCYyRvuQl27hFJb51G6N94K3wXrKdW2ntl/PBOSWj0DmbNV+QIyOJe6Otl1p6IDDaTLyljzyl8SuyjSxTG8Vffn4j675VILdaEbZwPjinowLn3j6l9tSpWwLpDF+4IwO8RqrX0aBfe2DRC7q1/cl7tHjsFcpn+HuA3QhwzqDa71j8jIx+md/zy3tN+G7pux+tsHv7MTKOoPX4HtXvkm6TpdvRHM6lCXDu5q0/MbryUzTI6UwzsK2xtg9/bQW75HVr+up7A/FGWhGW2HIwcJa/AdiVPnDuacllQ/dQ9uceva0ly0ajt7c2P7f6qkdfG/WB917Xe3zJoMTedrZU31Nwv7UcnIoKnHvaewa2vQYsLd12rZ87qlTX7uve76nct1Zzee35aF219ZfrLJcrtzfys2Zpa8PoZ/uSUjISndMQ4NzTlup77Zf41sqvtp5eUNXWMfLYVrVKPjrYKJdvBXoruKN92PsAa0uQ9xx5SVvYhSZ07qLR/714Val96dDW6/Jtj26r99hIqN8quGvbyJuF532MJlZ56SwTrbv3XHTAUD4+8nMPvWZzzeecmgDn3m7V993a7pov6VZwj2w/er7Xfzyyn0sOXuaAiirpcrlUWWaJLc3XtXWNbGP0tS1CndPRhM69RIPJtn6ZL6nW9gii1rpazdbRz97rRy1ZX6+pe4/9iV7fa57es887snYgnqZ0TkWAcy+1ubBrjgqV0aqyV6VGjx3ZRzu63t7+jgR+1C2w5LPby97bWtslAKcgwLmn0S/J0YBt/Rx5fes2ul+9PvGRfTqqibm2/dp7XRL2Sz+nlPafoGfv0M27EN7djETnDAQ4Z7ClwrtXpbSkRWDv5vClr1/aetE66Oj9+4zu89IBjHv9HUSz+wljLskgNm4uq17WfpnOg4lGl7tFyC9tmr518/NS0Wdc+9zzSjX/vbf+/P5Rn0dvLEK0TM6gNU5LBc69bA3xMxkJifL5qKJtvfaeITLaQrJHCEefxZp17GFkOl+4GwHOPZRXHetdtCQKjLNURVuCdjTwztBN0Ovjbi27tbl9rS3N7rXwvtW0v9AlwLmH1uVDS3v1Ax9hbSD1qu4jB2Yt1RvwNhLc0etr6+893rPHAdFI5S3EuTt94Nxb74twyRdl3uddTtRy9ClDvWb0Nf28aw4Q1nxe+e9lf3a03Mh6WvtS9iu3BsWl4LE1Ib3237jaBz5N08vLy8u9D7B4YipwbmrB6TdLTjEa/dIfeWyNPcJi5D1t2ZfW+kaat2ufcXmAEj2/9L20KvToud57XLL91liMD3+TTifjngQ4t7bmC29pVRndzx/bK7ijbbQC5lZ6YT36e+tgoLZcr4qujWLfq/KO9mfp6yO9cRpwcwKce9hShY/0G0fLH2HPyju/v3erQK05v1x+pA9+SaiPVv+9+73t1raxR2CX9+ffBTl3J8B5BmUf69qgba3jiAOFPfZ55Ple+C05OGpV56OvH3mst85btHq4Pjh3JcC5l6WX/DyzkZDau+l+jS1Bs6SpvfXYFf9Nr7LPPBkBzs0ElUp5OtkVbanmt6xjL2v6y9dUznv0Z9/TWfYD/iDAOaOrVGpb9/FW73HPWe7WVOJX+LecLT3ouPLBJxfnPHBuKZqB7YjRvSNftHuH79K+3j22GdnaTD4V6+iNHi/Pu28tX65z6b5tccRBhHnSuSsVODeRNZ+P/M2tDaFbhGi0rtYgr9E+8KMCZlRtBHn0WDTCvHx/tVHpI+9zdCDalgOB2jZGzwNXeXN3Apxbiirv1rJ7GwnapetYMxL7Fgcaa6amjUK49vrWwUkryI/QC/w9RqYLbE5HgHMrI+G9x9WfllRttSpxdN2tKrW3rdo6jrSka2Hkc5hSP7zXOvJzGdk/M7JxevrAuZVP6WOIH/Wl12oWjZ7vvX5kmdrvW6r7PbQ+41aV3rq2d97vXev/zp+fn6s1o6/pS+41hZfL7SXaV33h3IUKnEdw6y/PPSrLVhP71m2Mrmdtv/yW8IwO3JYeUO3VNx4N1oPLEOAcLmteHG06H1515f6R9hiE1Wtu3uO9rKloR4Jxj+bxJVrhfcQ+CHIuQ4DzSG41WOrIdZ0xlHp9+61t3OIzW7q8/moegj5wbm3vfvC8Dzb6fX5sb3tWybUQ3CN4t7Ru9K6tPrr+I1oUto44j/qtVd9cigqcW9i74jnzF20tlM/UxD/6+tYo+lYVHjXHj/bFLxn0N7Lu2jK1/vnWY65KxqkIcG5hry+5Mwd3SvsNrrqVWmC2gntkna31Lw32PRxRaQtu7k6Ac1VnC8Ncq/q+xX7vUZGOBmvtPfZG1q+ptEf3ZcvyIwMthTenIMA51MAI9MWr3Gk9ezvrfi0RhXirebu2fO31td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From a8295211736c6301f5219341d81c9c9d321080e0 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 29 Mar 2023 15:59:43 -0800
Subject: [PATCH 147/184] Move forward on Vector documentation

---
 doc/source/_static/logo_only_v3.svg | 313 ---------------------------
 doc/source/_static/logo_v3.svg      | 325 ----------------------------
 doc/source/about_geoutils.md        |   6 +-
 doc/source/api.md                   |  17 +-
 doc/source/background.md            |  55 +++--
 doc/source/conf.py                  |   4 +-
 doc/source/core_composition.md      |  19 +-
 doc/source/index.md                 |   2 +-
 doc/source/raster_class.md          |  18 +-
 doc/source/vector_class.md          | 204 ++++++++++++++++-
 geoutils/vector.py                  |  30 ++-
 11 files changed, 289 insertions(+), 704 deletions(-)
 delete mode 100644 doc/source/_static/logo_only_v3.svg
 delete mode 100644 doc/source/_static/logo_v3.svg

diff --git a/doc/source/_static/logo_only_v3.svg b/doc/source/_static/logo_only_v3.svg
deleted file mode 100644
index a6dd0a730..000000000
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+++ /dev/null
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diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index 1c84337ce..c01b3a376 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -11,9 +11,9 @@ making such analysis accessible, efficient and reliable.
 <sup>1</sup>With name standing for *Geospatial Utilities*.
 ```
 
-In a few words, GeoUtils can be described as a **convenience wrapper package for end-users** focusing on geospatial analysis. It allows to write shorter
-code through consistent higher-level operations, implicit object behaviour and numerical interfacing. In addition, GeoUtils adds **analysis-oriented
-functions** that require many steps to perform with other packages, and which are robustly tested.
+In a few words, GeoUtils can be described as a **convenience package for end-users focusing on geospatial analysis**. It allows to write shorter
+code through consistent higher-level operations, implicit object behaviour and numerical interfacing. In addition, GeoUtils adds analysis-oriented
+functions that require many steps to perform with other packages, and which are robustly tested.
 
 GeoUtils is designed for all Earth and planetary observation science. However, it is generally **most useful for remote sensing and Earth's surface
 applications** that rely on moderate- to high-resolution georeferenced data. All applications that, for analysis, require robust reprojections, re-gridding,
diff --git a/doc/source/api.md b/doc/source/api.md
index 03de14f19..5ee99242d 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -276,6 +276,13 @@ And reverse operations.
     Vector.name
 ```
 
+```{caution}
+The {attr}`~geoutils.Vector.bounds` attribute of a {class}`~geoutils.Vector` corresponds to the {attr}`~geopandas.GeoDataFrame.total_bounds` attribute of a 
+{class}`~geopandas.GeoDataFrame`, for consistency between rasters and vectors (and can also be accessed through {attr}`~geoutils.Vector.total_bounds`).
+
+The equivalent of {attr}`geopandas.GeoDataFrame.bounds` (i.e., a per-feature bounds) for {class}`Vectors<geoutils.Vector>` is {attr}`~geoutils.Vector.geom_bounds`.
+```
+
 ### Geospatial handling methods
 
 ```{eval-rst}
@@ -316,23 +323,22 @@ And reverse operations.
     Vector.get_bounds_projected
 ```
 
-### Indexing and assignment
+### Indexing
 
 ```{eval-rst}
 .. autosummary::
     :toctree: gen_modules/
 
     Vector.__getitem__
-    Vector.__setitem__
 ```
 
+(vector-from-geopandas)=
+
 ### From Shapely and GeoPandas
 
 #### Geometric attributes and methods
 
-This first category of attributes and methods return a geometric output, converted to a {class}`~geoutils.Vector` by default.
-
-Otherwise, calling the method from {attr}`Vector.ds<geoutils.Vector.ds>`, they return a {class}`geopandas.GeoSeries` or {class}`geopandas.GeoDataFrame` as in GeoPandas.
+This first category of attributes and methods return a geometric output converted to a {class}`~geoutils.Vector` by default.
 
 **Attributes:**
 
@@ -464,6 +470,7 @@ To ensure those are up-to-date with GeoPandas, alternatively call those from {at
 
     Vector.has_sindex
     Vector.sindex
+    Vector.total_bounds
 ```
 
 ```{seealso}
diff --git a/doc/source/background.md b/doc/source/background.md
index 2276e8d97..ca50864a3 100644
--- a/doc/source/background.md
+++ b/doc/source/background.md
@@ -2,7 +2,38 @@
 
 # Background
 
-More information on the people behind GeoUtils, and the package's mission.
+More information on how the package was created, who are the people behind it, and its mission.
+
+## Inspiration
+
+GeoUtils was created during the [GlacioHack](https://github.com/GlacioHack) hackaton event, that took place online on November 8, 2020 and was initiated by
+Amaury Dehecq<sup>2</sup>.
+
+```{margin}
+<sup>2</sup>More on our GlacioHack founder at [adehecq.github.io](https://adehecq.github.io/)!
+```
+
+GeoUtils is inspired by previous efforts that were built directly on top of GDAL and OGR, namely: 
+
+- the older, homonymous package [GeoUtils](https://github.com/adehecq/geoutils_old), 
+- the class [pybob.GeoImg](https://github.com/iamdonovan/pybob/blob/master/pybob/GeoImg.py), 
+- the package [pygeotools](https://github.com/dshean/pygeotools), and
+- the package [salem](https://github.com/fmaussion/salem).
+
+## The people behind GeoUtils
+
+The initial core development of GeoUtils was mainly performed by members of the Glaciology group of the _Laboratory of Hydraulics, Hydrology and
+Glaciology (VAW)_ at ETH Zürich<sup>3</sup> and of the _University of Fribourg_, both in Switzerland. The package also received contributions by members of 
+the _University of Oslo_, Norway, the _University of Washington_, US and _Université Grenobles Alpes_, France.
+
+```{margin}
+<sup>3</sup>Check-out [glaciology.ch](https://glaciology.ch) on our founding group of VAW glaciology!
+```
+
+We are not software developers but geoscientists, and we try our best to offer tools that can be useful to a larger group,
+documented, reliable and maintained. All development and maintenance is made on a voluntary basis and we welcome
+any new contributors. See some information on how to contribute in the dedicated page of our
+[GitHub repository](https://github.com/GlacioHack/geoutils/blob/main/CONTRIBUTING.md).
 
 ## Mission
 
@@ -35,25 +66,3 @@ And, additionally:
 
 - **State-of-the-art**: all methods should be at the cutting edge of remote sensing science, to provide users with the most reliable and up-to-date tools.
 
-
-## The people behind GeoUtils
-
-```{margin}
-<sup>2</sup>More on our GlacioHack founder at [adehecq.github.io](https://adehecq.github.io/)!
-```
-
-GeoUtils was created during the [GlacioHack](https://github.com/GlacioHack) hackaton event, that was initiated by
-Amaury Dehecq<sup>2</sup> and took place online on November 8, 2020.
-
-```{margin}
-<sup>3</sup>Check-out [glaciology.ch](https://glaciology.ch) on our founding group of VAW glaciology!
-```
-
-The initial core development of GeoUtils was performed by members of the Glaciology group of the Laboratory of Hydraulics, Hydrology and
-Glaciology (VAW) at ETH Zürich<sup>3</sup>, with contributions by members of the University of Oslo, the University of Washington, and University
-Grenobles Alpes.
-
-We are not software developers but geoscientists, and we try our best to offer tools that can be useful to a larger group,
-documented, reliable and maintained. All development and maintenance is made on a voluntary basis and we welcome
-any new contributors. See some information on how to contribute in the dedicated page of our
-[GitHub repository](https://github.com/GlacioHack/geoutils/blob/main/CONTRIBUTING.md).
diff --git a/doc/source/conf.py b/doc/source/conf.py
index f843bcd1c..9ccd1a266 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -149,8 +149,8 @@ def setup(app):
 # a list of builtin themes.
 #
 html_theme = "sphinx_book_theme"
-html_favicon = "_static/logo_only_v3.svg"
-html_logo = "_static/logo_v3.svg"
+html_favicon = "_static/logo_only.svg"
+html_logo = "_static/logo.svg"
 html_title = "GeoUtils"
 
 html_theme_options = {
diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
index 6e5f69cae..bb811b013 100644
--- a/doc/source/core_composition.md
+++ b/doc/source/core_composition.md
@@ -64,13 +64,14 @@ To check if a {class}`~geoutils.Raster` was loaded from the **on-disk** data, us
 To check if the {class}`~geoutils.Raster` was modified since loading from the **on-disk** data, use the {attr}`~geoutils.Raster.is_modified` attribute.
 ```
 
+See {ref}`(raster-class)` for more details.
+
+
 ## The {class}`~geoutils.Vector` class composition
 
 A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as {attr}`~geoutils.Vector.ds`.
 
-Because lazy loading is a lesser priority with vector data, a {class}`~geoutils.Vector` directly loads its {attr}`~geoutils.Vector.ds`. Besides, many
-higher-level geospatial methods are already available in {class}`~geopandas.GeoDataFrame`. We thus only wrap those directly into {class}`~geoutils.Vector`,
-in order to easily call them from the vector object, and build additional methods on top.
+Because lazy loading is a lesser priority with vector data, a {class}`~geoutils.Vector` directly loads its {attr}`~geoutils.Vector.ds`.
 
 ```{code-cell} ipython3
 :tags: [hide-output]
@@ -83,3 +84,15 @@ vector
 # Show summarized information
 print(vector.info())
 ```
+
+All geospatial methods of {class}`~geopandas.GeoDataFrame` are directly available into {class}`~geoutils.Vector`, and cast the output logically depending on 
+its type: to a {class}`~geoutils.Vector` for a geometric output (e.g., {class}`~geoutils.Vector.boundary`), or to {class}`pandas.Series` that can be immediatelly appended to the {class}
+`~geoutils.Vector` for a per-feature non-geometric output (e.g., {class}`~geoutils.Vector.area`).
+
+```{code-cell} ipython3
+:tags: [hide-output]
+# Compute the vector's boundary
+vector.boundary
+```
+
+See {ref}`(vector-class)` for more details.
diff --git a/doc/source/index.md b/doc/source/index.md
index 2a2fc9f23..8e9d2fb1b 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -10,7 +10,7 @@ title: GeoUtils
 :::{grid-item}
 :columns: 4
 
-```{image} ./_static/logo_only_v3.svg
+```{image} ./_static/logo_only.svg
     :width: 300px
     :class: dark-light
 ```
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index 4d22febea..c40fee57f 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -63,7 +63,7 @@ raster = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
 raster
 ```
 
-Detailed information on the {class}`~geoutils.Raster` is printed using {class}`~geoutils.Raster.info()`, along with basic statistics using `stats=True`:
+Detailed information on the {class}`~geoutils.Raster` is printed using {func}`~geoutils.Raster.info`, along with basic statistics using `stats=True`:
 
 ```{code-cell} ipython3
 # Print details of raster
@@ -238,17 +238,18 @@ Resampling methods are listed in **[the dedicated section of Rasterio's API](htt
 Cropping a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster.crop` function, which enforces new {attr}`~geoutils.Raster.bounds`.
 
 ```{important}
-As with all geospatial handling methods, the {func}`~geoutils.Raster.reproject` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as argument.
+As with all geospatial handling methods, the {func}`~geoutils.Raster.crop` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.Vector` 
+as argument.
 
 See {ref}`core-match-ref` for more details.
 ```
 
-The {func}`~geoutils.Raster.crop` function can also be passed a {class}`list` or {class}`tuple` of bounds (`xmin`, `ymin`, `xmax`, `ymax`).
+The {func}`~geoutils.Raster.crop` function can also be passed a {class}`list` or {class}`tuple` of bounds (`xmin`, `ymin`, `xmax`, `ymax`). By default, 
+{func}`~geoutils.Raster.crop` is done in-place.
 For more details, see the {ref}`specific section and function descriptions in the API<api-geo-handle>`.
 
-
 ```{code-cell} ipython3
-# Crop to smaller bounds
+# Crop raster to smaller bounds
 raster_crop = raster.crop(crop_geom=(0.3, 0.3, 1, 1), inplace=False)
 raster_crop
 ```
@@ -258,8 +259,6 @@ raster_crop
 Polygonizing a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster.polygonize` function, which converts target pixels into a multi-polygon
 {class}`~geoutils.Vector`.
 
-By default, values equal to `1` are used.
-
 ```{note}
 For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.polygonize` implicitly targets `True` values and thus does not require target pixels. See
 {ref}`mask-class-poly-overloaded`.
@@ -267,15 +266,14 @@ For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.polygonize` implicitly ta
 
 ```{code-cell} ipython3
 # Polygonize all values lower than 100
-
 vector_lt_100 = (raster < 100).polygonize()
 vector_lt_100
 ```
 
 ## Proximity
 
-Computing proximity from a {class}`~geoutils.Raster` is done through by the {func}`~geoutils.Raster.proximity` function, which computes the distance to any
-target pixels in the {class}`~geoutils.Raster`.
+Computing proximity from a {class}`~geoutils.Raster` is done through by the {func}`~geoutils.Raster.proximity` function, which computes the closest distance 
+to any target pixels in the {class}`~geoutils.Raster`.
 
 ```{note}
 For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.proximity` implicitly targets `True` values and thus does not require target pixels. See
diff --git a/doc/source/vector_class.md b/doc/source/vector_class.md
index cd1bc4b8d..048a22349 100644
--- a/doc/source/vector_class.md
+++ b/doc/source/vector_class.md
@@ -1,3 +1,8 @@
+---
+file_format: mystnb
+kernelspec:
+  name: geoutils
+---
 (vector-class)=
 
 # The georeferenced vector ({class}`~geoutils.Vector`)
@@ -10,34 +15,215 @@ A {class}`~geoutils.Vector` contains **a single main attribute**: a {class}`~geo
 
 All other attributes are derivatives of the {class}`~geopandas.GeoDataFrame`.
 
-```{important}
-In short, {class}`~geoutils.Vector` is a "convenience" composition class built on top of GeoPandas, to facilitate interfacing with {class}`~geoutils.Raster`,
-and to allow the addition of more complex vector functionalities.
+In short, {class}`~geoutils.Vector` is a "convenience" composition class built on top of GeoPandas, to consistently cast geometric outputs to a 
+{class}`geoutils.Vector`, facilitate the interface with {class}`~geoutils.Raster`, and allow the addition of more complex vector functionalities.
+
+**All geometric functionalities of {class}`~geopandas.GeoDataFrame`'s methods are available directly from a {class}`~geoutils.Vector`**, as if working 
+directly on the {class}`~geopandas.GeoDataFrame`. Dataframe functionalities from Pandas can be called from its {attr}`~geoutils.Vector.ds`.
+
+```{caution}
+The {attr}`~geoutils.Vector.bounds` attribute of a {class}`~geoutils.Vector` corresponds to the {attr}`~geopandas.GeoDataFrame.total_bounds` attribute of a 
+{class}`~geopandas.GeoDataFrame` converted to a {class}`rasterio.coords.BoundingBox`, for consistency between rasters and vectors.
 
-**All of {class}`~geopandas.GeoDataFrame`'s methods are available directly from a {class}`~geoutils.Vector`**, as if working directly on the {class}`~geopandas.GeoDataFrame`.
+The equivalent of {attr}`geopandas.GeoDataFrame.bounds` (i.e., a per-feature bounds) for {class}`Vectors<geoutils.Vector>` is {attr}`~geoutils.Vector.geom_bounds`.
 ```
 
 ## Open and save
 
+A {class}`~geoutils.Vector` is opened by instantiating with either a {class}`str`, a {class}`pathlib.Path`, a {class}`geopandas.GeoDataFrame`, 
+a {class}`geopandas.GeoSeries` or a {class}`shapely.Geometry`.
+
+
+```{code-cell} ipython3
+:tags: [hide-output]
+
+import geoutils as gu
+
+# Initiate a vector from disk
+vect = gu.Vector(gu.examples.get_path("exploradores_rgi_outlines"))
+vect
+```
+
+Detailed information on the {class}`~geoutils.Vector` is printed using {func}`~geoutils.Vector.info`:
+
+```{code-cell} ipython3
+# Print details of vector
+print(vect.info())
+```
+
+A {class}`~geoutils.Vector` is saved to file by calling {func}`~geoutils.Raster.save` with a {class}`str` or a {class}`pathlib.Path`.
+
+```{code-cell} ipython3
+# Save vector to disk
+vect.save("myvector.gpkg")
+```
+```{code-cell} ipython3
+:tags: [remove-cell]
+import os
+os.remove("myvector.gpkg")
+```
+
+```{note}
+GeoPandas functions with the same behaviour such as {func}`geopandas.GeoDataFrame.to_file` can also be used directly on a {class}`~geoutils.Vector`, 
+for example calling {func}`geoutils.Vector.to_file`.
+```
+
 
-## Arithmetic
+## From Shapely and GeoPandas
 
+Nearly all geometric attributes and functions of GeoPandas (and sometimes, under the hood, Shapely) can be called from a {class}`~geoutils.Vector`.
+
+In {class}`~geoutils.Vector`, those have three types of behaviour:
+
+1. Methods that return a geometric output (e.g., {attr}`~geoutils.Vector.boundary` or {func}`~geoutils.Vector.symmetric_difference`), which are cast into a 
+   {class}`~geoutils.Vector`,
+2. Methods that return a non-geometric series of same length as the number of features (e.g., {attr}`~geoutils.Vector.area` or {func}`~geoutils.Vector.overlaps`), 
+   which can optionally be appended to the {class}`~geoutils.Vector` (instead of returning of the default {class}`pandas.Series`),
+3. Methods that return any other type of output (e.g., {func}`~geoutils.Vector.has_sindex` or {func}`~geoutils.Vector.to_feather`), for which the output is 
+   preserved.
+
+```{important}
+See the full list of supported methods in the {ref}`dedicated section of the API<vector-from-geopandas>`.
+```
+
+These behaviours aim to simplify the analysis of vectors, removing the need to operate on many different objects due to varying function outputs 
+({class}`geopandas.GeoDataFrame`, {class}`geopandas.GeoSeries`, {class}`shapely.Geometry`, {class}`pandas.Series`). 
+
+```{code-cell} ipython3
+:tags: [hide-output]
+
+# Example of method with geometric output
+vect.boundary
+```
+
+```{code-cell} ipython3
+:tags: [hide-output]
+
+# Example of method with non-geometry output
+vect.area
+```
+
+```{code-cell} ipython3
+:tags: [hide-output]
+
+# Example of method with other output type
+vect.to_json()
+```
 
 ## Reproject
 
+Reprojecting a {class}`~geoutils.Vector` is done through the {func}`~geoutils.Vector.reproject` function, which enforces a new {attr}`~geoutils.Vector.crs`.
+
+```{important}
+As with all geospatial handling methods, the {func}`~geoutils.Vector.reproject` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as argument to match its {class}`~geoutils.Raster.crs`.
+
+See {ref}`core-match-ref` for more details.
+```
+
+The {func}`~geoutils.Vector.reproject` function can also be passed a `dst_crs` argument directly.
+
+```{code-cell} ipython3
+# Original CRS
+print(vect.crs)
+```
+
+```{code-cell} ipython3
+# Open a raster for which we want to match the CRS
+rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+# Reproject the vector to the raster's CRS
+vect_reproj = vect.reproject(rast)
+# New CRS
+print(vect_reproj.crs)
+```
+
+```{note}
+Calling {func}`geoutils.Vector.to_crs` is also possible, but mirrors GeoPandas' API (a match-reference argument cannot be passed).
+```
 
 ## Crop
 
+Cropping a {class}`~geoutils.Vector` is done through the {func}`~geoutils.Vector.crop` function, which enforces new {attr}`~geoutils.Vector.bounds`.
+
+
+```{important}
+As with all geospatial handling methods, the {func}`~geoutils.Vector.crop` function can be passed only a {class}`~geoutils.Raster` or 
+{class}`~geoutils.Vector` as argument.
+
+See {ref}`core-match-ref` for more details.
+```
+
+The {func}`~geoutils.Vector.crop` function can also be passed a {class}`list` or {class}`tuple` of bounds (`xmin`, `ymin`, `xmax`, `ymax`). 
+
+By default, {func}`~geoutils.Vector.crop` is done in-place and keeps all intersecting geometries. It can also be passed the `clip` argument to clip 
+intersecting geometries to the extent.
+
+```{code-cell} ipython3
+# Crop vector to smaller bounds
+vect_crop = vect.crop(crop_geom=(-73.5, -46.6, -73.4, -46.5), inplace=False, clip=True)
+print(vect_crop.info())
+```
 
 ## Rasterize
 
-The {func}`~geoutils.Vector.rasterize` operation to convert from {class}`~geoutils.Vector` to {class}`~geoutils.Raster` inherently requires a
-{attr}`~geoutils.Raster.res` or {attr}`~geoutils.Raster.shape` attribute to define the grid. While those can be passed on their own.
+Rasterizing a {class}`~geoutils.Vector` to a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Vector.rasterize` function, which converts vector 
+geometries into gridded values. 
 
-## Proximity
+By default, the value of index of the {class}`~geoutils.Vector`'s {attr}`~geoutils.Vector.ds` is burned on a raster grid for each respective geometry.
 
+```{note}
+If an `out_value` of `0` (default) and `in_value` value of `1` are passed (i.e., boolean output), {func}`~geoutils.Vector.rasterize` will automatically cast 
+the output to a {class}`~geoutils.Mask`.
+```
+
+To define the grid on which to rasterize, a reference {class}`~geoutils.Raster` to match can be passed. Alternatively, a {attr}`~geoutils.Raster.res` or {attr}
+`~geoutils.Raster.shape` can be passed to define the grid. 
+
+```{code-cell} ipython3
+# Rasterize all geometries by index
+rasterized_vect = vect.rasterize(rast)
+rasterized_vect
+```
 
 ## Create a `Mask`
 
+Creating a {class}`~geoutils.Mask` from a {class}`~geoutils.Vector` is done through the {func}`~geoutils.Vector.create_mask` function, which converts vector 
+geometries into boolean gridded values for all features.
+
+Similarly as for {func}`~geoutils.Vector.rasterize`, the function expects parameters to define the grid on which to rasterize the output. A reference 
+{class}`~geoutils.Raster` to match can be passed or, alternatively, individual parameters.
+
+```{code-cell} ipython3
+# Create a mask of all geometries on the raster grid
+mask_vect = vect.create_mask(rast)
+mask_vect
+```
+
+## Proximity
+
+Computing proximity from a {class}`~geoutils.Vector` is done through by the {func}`~geoutils.Vector.proximity` function, which computes the closest distance 
+to any geometry in the {class}`~geoutils.Vector`.
+
+Similarly as for {func}`~geoutils.Vector.rasterize`, the function expects parameters to define the grid on which to rasterize the output. A reference 
+{class}`~geoutils.Raster` to match can be passed or, alternatively, individual parameters.
+
+```{code-cell} ipython3
+# Compute proximity from vector on the raster grid
+proximity_to_vect = vect.proximity(rast)
+proximity_to_vect
+```
+
+## Metric buffering
+
+Computing a buffer accurately in a local metric projection is done through the {func}`~geoutils.Vector.buffer_metric` function, which computes the buffer in 
+a local UTM zone.
+
+```{code-cell} ipython3
+:tags: [hide-output]
+
+# Compute buffer of 100 m on the vector
+buffered_vect = vect.buffer_metric(100)
+buffered_vect
+```
 
-## Buffering
+Additionally, to prevent buffers from overlapping, the {func}`~geoutils.Vector.buffer_without_overlap` function uses Voronoi polygons to reconcile the buffer
+output of each feature.
diff --git a/geoutils/vector.py b/geoutils/vector.py
index c18249d06..d419e2ce8 100644
--- a/geoutils/vector.py
+++ b/geoutils/vector.py
@@ -61,11 +61,11 @@ class Vector:
     See the API for more details.
     """
 
-    def __init__(self, filename_or_dataset: str | pathlib.Path | gpd.GeoDataFrame):
+    def __init__(self, filename_or_dataset: str | pathlib.Path | gpd.GeoDataFrame | gpd.GeoSeries | shapely.Geometry):
         """
-        Instantiate a vector from a filename or GeoPandas geodataframe.
+        Instantiate a vector from either a filename, a GeoPandas dataframe or series, or a Shapely geometry.
 
-        :param filename_or_dataset: Path to file or GeoPandas geodataframe.
+        :param filename_or_dataset: Path to file, or GeoPandas dataframe or series, or Shapely geometry.
         """
 
         if isinstance(filename_or_dataset, (str, pathlib.Path)):
@@ -75,9 +75,14 @@ def __init__(self, filename_or_dataset: str | pathlib.Path | gpd.GeoDataFrame):
                 ds = gpd.read_file(filename_or_dataset)
             self._ds = ds
             self._name: str | gpd.GeoDataFrame | None = filename_or_dataset
-        elif isinstance(filename_or_dataset, gpd.GeoDataFrame):
-            self._ds = filename_or_dataset
+        elif isinstance(filename_or_dataset, (gpd.GeoDataFrame, gpd.GeoSeries, shapely.Geometry)):
             self._name = None
+            if isinstance(filename_or_dataset, gpd.GeoDataFrame):
+                self._ds = filename_or_dataset
+            elif isinstance(filename_or_dataset, gpd.GeoSeries):
+                self._ds = gpd.GeoDataFrame(geometry=filename_or_dataset)
+            else:
+                self._ds = gpd.GeoDataFrame({"geometry": [filename_or_dataset]}, crs=None)
         else:
             raise TypeError("Filename argument should be a string, Path or geopandas.GeoDataFrame.")
 
@@ -132,15 +137,14 @@ def info(self) -> str:
         """
         Summarize information about the vector.
 
-        :returns: Unformation about vector attributes.
+        :returns: Information about vector attributes.
         """
         as_str = [  # 'Driver:             {} \n'.format(self.driver),
             f"Filename:           {self.name} \n",
             f"Coordinate System:  EPSG:{self.ds.crs.to_epsg()}\n",
-            f"Number of features: {len(self.ds)} \n",
             f"Extent:             {self.ds.total_bounds.tolist()} \n",
-            f"Attributes:         {self.ds.columns.tolist()} \n",
-            self.ds.__repr__(),
+            f"Number of features: {len(self.ds)} \n",
+            f"Attributes:         {self.ds.columns.tolist()}",
         ]
 
         return "".join(as_str)
@@ -415,7 +419,13 @@ def total_bounds(self) -> rio.coords.BoundingBox:
     # Exception ! Vector.bounds corresponds to the total_bounds
     @property
     def bounds(self) -> rio.coords.BoundingBox:
-        """Total bounding box of the vector."""
+        """
+        Total bounding box of the vector.
+
+        Caution: this is equivalent to ``GeoDataFrame.total_bounds``,
+        but not ``GeoDataFrame.bounds`` (per-feature bounds) which is instead defined as
+        ``Vector.geom_bounds``.
+        """
         return rio.coords.BoundingBox(*self.ds.total_bounds)
 
     # --------------------------------------------

From e110657bddbc04c1f85ea4ad6ed123704bb67985 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 29 Mar 2023 16:00:17 -0800
Subject: [PATCH 148/184] Linting

---
 doc/source/api.md              |  2 +-
 doc/source/background.md       |  9 ++++---
 doc/source/core_composition.md |  4 ++--
 doc/source/raster_class.md     |  6 ++---
 doc/source/vector_class.md     | 44 +++++++++++++++++-----------------
 5 files changed, 32 insertions(+), 33 deletions(-)

diff --git a/doc/source/api.md b/doc/source/api.md
index 5ee99242d..acface42f 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -277,7 +277,7 @@ And reverse operations.
 ```
 
 ```{caution}
-The {attr}`~geoutils.Vector.bounds` attribute of a {class}`~geoutils.Vector` corresponds to the {attr}`~geopandas.GeoDataFrame.total_bounds` attribute of a 
+The {attr}`~geoutils.Vector.bounds` attribute of a {class}`~geoutils.Vector` corresponds to the {attr}`~geopandas.GeoDataFrame.total_bounds` attribute of a
 {class}`~geopandas.GeoDataFrame`, for consistency between rasters and vectors (and can also be accessed through {attr}`~geoutils.Vector.total_bounds`).
 
 The equivalent of {attr}`geopandas.GeoDataFrame.bounds` (i.e., a per-feature bounds) for {class}`Vectors<geoutils.Vector>` is {attr}`~geoutils.Vector.geom_bounds`.
diff --git a/doc/source/background.md b/doc/source/background.md
index ca50864a3..f357fc2c7 100644
--- a/doc/source/background.md
+++ b/doc/source/background.md
@@ -13,17 +13,17 @@ Amaury Dehecq<sup>2</sup>.
 <sup>2</sup>More on our GlacioHack founder at [adehecq.github.io](https://adehecq.github.io/)!
 ```
 
-GeoUtils is inspired by previous efforts that were built directly on top of GDAL and OGR, namely: 
+GeoUtils is inspired by previous efforts that were built directly on top of GDAL and OGR, namely:
 
-- the older, homonymous package [GeoUtils](https://github.com/adehecq/geoutils_old), 
-- the class [pybob.GeoImg](https://github.com/iamdonovan/pybob/blob/master/pybob/GeoImg.py), 
+- the older, homonymous package [GeoUtils](https://github.com/adehecq/geoutils_old),
+- the class [pybob.GeoImg](https://github.com/iamdonovan/pybob/blob/master/pybob/GeoImg.py),
 - the package [pygeotools](https://github.com/dshean/pygeotools), and
 - the package [salem](https://github.com/fmaussion/salem).
 
 ## The people behind GeoUtils
 
 The initial core development of GeoUtils was mainly performed by members of the Glaciology group of the _Laboratory of Hydraulics, Hydrology and
-Glaciology (VAW)_ at ETH Zürich<sup>3</sup> and of the _University of Fribourg_, both in Switzerland. The package also received contributions by members of 
+Glaciology (VAW)_ at ETH Zürich<sup>3</sup> and of the _University of Fribourg_, both in Switzerland. The package also received contributions by members of
 the _University of Oslo_, Norway, the _University of Washington_, US and _Université Grenobles Alpes_, France.
 
 ```{margin}
@@ -65,4 +65,3 @@ And, additionally:
 - **Scalability**: all methods should support both lazy processing and distributed parallelized processing, to work with high-resolution data on local machines as well as on HPCs;
 
 - **State-of-the-art**: all methods should be at the cutting edge of remote sensing science, to provide users with the most reliable and up-to-date tools.
-
diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
index bb811b013..a2a33373f 100644
--- a/doc/source/core_composition.md
+++ b/doc/source/core_composition.md
@@ -85,8 +85,8 @@ vector
 print(vector.info())
 ```
 
-All geospatial methods of {class}`~geopandas.GeoDataFrame` are directly available into {class}`~geoutils.Vector`, and cast the output logically depending on 
-its type: to a {class}`~geoutils.Vector` for a geometric output (e.g., {class}`~geoutils.Vector.boundary`), or to {class}`pandas.Series` that can be immediatelly appended to the {class}
+All geospatial methods of {class}`~geopandas.GeoDataFrame` are directly available into {class}`~geoutils.Vector`, and cast the output logically depending on
+its type: to a {class}`~geoutils.Vector` for a geometric output (e.g., {class}`~geoutils.Vector.boundary`), or to {class}`pandas.Series` that can be immediately appended to the {class}
 `~geoutils.Vector` for a per-feature non-geometric output (e.g., {class}`~geoutils.Vector.area`).
 
 ```{code-cell} ipython3
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index c40fee57f..48a33129a 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -238,13 +238,13 @@ Resampling methods are listed in **[the dedicated section of Rasterio's API](htt
 Cropping a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster.crop` function, which enforces new {attr}`~geoutils.Raster.bounds`.
 
 ```{important}
-As with all geospatial handling methods, the {func}`~geoutils.Raster.crop` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.Vector` 
+As with all geospatial handling methods, the {func}`~geoutils.Raster.crop` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.Vector`
 as argument.
 
 See {ref}`core-match-ref` for more details.
 ```
 
-The {func}`~geoutils.Raster.crop` function can also be passed a {class}`list` or {class}`tuple` of bounds (`xmin`, `ymin`, `xmax`, `ymax`). By default, 
+The {func}`~geoutils.Raster.crop` function can also be passed a {class}`list` or {class}`tuple` of bounds (`xmin`, `ymin`, `xmax`, `ymax`). By default,
 {func}`~geoutils.Raster.crop` is done in-place.
 For more details, see the {ref}`specific section and function descriptions in the API<api-geo-handle>`.
 
@@ -272,7 +272,7 @@ vector_lt_100
 
 ## Proximity
 
-Computing proximity from a {class}`~geoutils.Raster` is done through by the {func}`~geoutils.Raster.proximity` function, which computes the closest distance 
+Computing proximity from a {class}`~geoutils.Raster` is done through by the {func}`~geoutils.Raster.proximity` function, which computes the closest distance
 to any target pixels in the {class}`~geoutils.Raster`.
 
 ```{note}
diff --git a/doc/source/vector_class.md b/doc/source/vector_class.md
index 048a22349..e13018c21 100644
--- a/doc/source/vector_class.md
+++ b/doc/source/vector_class.md
@@ -15,14 +15,14 @@ A {class}`~geoutils.Vector` contains **a single main attribute**: a {class}`~geo
 
 All other attributes are derivatives of the {class}`~geopandas.GeoDataFrame`.
 
-In short, {class}`~geoutils.Vector` is a "convenience" composition class built on top of GeoPandas, to consistently cast geometric outputs to a 
+In short, {class}`~geoutils.Vector` is a "convenience" composition class built on top of GeoPandas, to consistently cast geometric outputs to a
 {class}`geoutils.Vector`, facilitate the interface with {class}`~geoutils.Raster`, and allow the addition of more complex vector functionalities.
 
-**All geometric functionalities of {class}`~geopandas.GeoDataFrame`'s methods are available directly from a {class}`~geoutils.Vector`**, as if working 
+**All geometric functionalities of {class}`~geopandas.GeoDataFrame`'s methods are available directly from a {class}`~geoutils.Vector`**, as if working
 directly on the {class}`~geopandas.GeoDataFrame`. Dataframe functionalities from Pandas can be called from its {attr}`~geoutils.Vector.ds`.
 
 ```{caution}
-The {attr}`~geoutils.Vector.bounds` attribute of a {class}`~geoutils.Vector` corresponds to the {attr}`~geopandas.GeoDataFrame.total_bounds` attribute of a 
+The {attr}`~geoutils.Vector.bounds` attribute of a {class}`~geoutils.Vector` corresponds to the {attr}`~geopandas.GeoDataFrame.total_bounds` attribute of a
 {class}`~geopandas.GeoDataFrame` converted to a {class}`rasterio.coords.BoundingBox`, for consistency between rasters and vectors.
 
 The equivalent of {attr}`geopandas.GeoDataFrame.bounds` (i.e., a per-feature bounds) for {class}`Vectors<geoutils.Vector>` is {attr}`~geoutils.Vector.geom_bounds`.
@@ -30,7 +30,7 @@ The equivalent of {attr}`geopandas.GeoDataFrame.bounds` (i.e., a per-feature bou
 
 ## Open and save
 
-A {class}`~geoutils.Vector` is opened by instantiating with either a {class}`str`, a {class}`pathlib.Path`, a {class}`geopandas.GeoDataFrame`, 
+A {class}`~geoutils.Vector` is opened by instantiating with either a {class}`str`, a {class}`pathlib.Path`, a {class}`geopandas.GeoDataFrame`,
 a {class}`geopandas.GeoSeries` or a {class}`shapely.Geometry`.
 
 
@@ -64,7 +64,7 @@ os.remove("myvector.gpkg")
 ```
 
 ```{note}
-GeoPandas functions with the same behaviour such as {func}`geopandas.GeoDataFrame.to_file` can also be used directly on a {class}`~geoutils.Vector`, 
+GeoPandas functions with the same behaviour such as {func}`geopandas.GeoDataFrame.to_file` can also be used directly on a {class}`~geoutils.Vector`,
 for example calling {func}`geoutils.Vector.to_file`.
 ```
 
@@ -75,19 +75,19 @@ Nearly all geometric attributes and functions of GeoPandas (and sometimes, under
 
 In {class}`~geoutils.Vector`, those have three types of behaviour:
 
-1. Methods that return a geometric output (e.g., {attr}`~geoutils.Vector.boundary` or {func}`~geoutils.Vector.symmetric_difference`), which are cast into a 
+1. Methods that return a geometric output (e.g., {attr}`~geoutils.Vector.boundary` or {func}`~geoutils.Vector.symmetric_difference`), which are cast into a
    {class}`~geoutils.Vector`,
-2. Methods that return a non-geometric series of same length as the number of features (e.g., {attr}`~geoutils.Vector.area` or {func}`~geoutils.Vector.overlaps`), 
+2. Methods that return a non-geometric series of same length as the number of features (e.g., {attr}`~geoutils.Vector.area` or {func}`~geoutils.Vector.overlaps`),
    which can optionally be appended to the {class}`~geoutils.Vector` (instead of returning of the default {class}`pandas.Series`),
-3. Methods that return any other type of output (e.g., {func}`~geoutils.Vector.has_sindex` or {func}`~geoutils.Vector.to_feather`), for which the output is 
+3. Methods that return any other type of output (e.g., {func}`~geoutils.Vector.has_sindex` or {func}`~geoutils.Vector.to_feather`), for which the output is
    preserved.
 
 ```{important}
 See the full list of supported methods in the {ref}`dedicated section of the API<vector-from-geopandas>`.
 ```
 
-These behaviours aim to simplify the analysis of vectors, removing the need to operate on many different objects due to varying function outputs 
-({class}`geopandas.GeoDataFrame`, {class}`geopandas.GeoSeries`, {class}`shapely.Geometry`, {class}`pandas.Series`). 
+These behaviours aim to simplify the analysis of vectors, removing the need to operate on many different objects due to varying function outputs
+({class}`geopandas.GeoDataFrame`, {class}`geopandas.GeoSeries`, {class}`shapely.Geometry`, {class}`pandas.Series`).
 
 ```{code-cell} ipython3
 :tags: [hide-output]
@@ -146,15 +146,15 @@ Cropping a {class}`~geoutils.Vector` is done through the {func}`~geoutils.Vector
 
 
 ```{important}
-As with all geospatial handling methods, the {func}`~geoutils.Vector.crop` function can be passed only a {class}`~geoutils.Raster` or 
+As with all geospatial handling methods, the {func}`~geoutils.Vector.crop` function can be passed only a {class}`~geoutils.Raster` or
 {class}`~geoutils.Vector` as argument.
 
 See {ref}`core-match-ref` for more details.
 ```
 
-The {func}`~geoutils.Vector.crop` function can also be passed a {class}`list` or {class}`tuple` of bounds (`xmin`, `ymin`, `xmax`, `ymax`). 
+The {func}`~geoutils.Vector.crop` function can also be passed a {class}`list` or {class}`tuple` of bounds (`xmin`, `ymin`, `xmax`, `ymax`).
 
-By default, {func}`~geoutils.Vector.crop` is done in-place and keeps all intersecting geometries. It can also be passed the `clip` argument to clip 
+By default, {func}`~geoutils.Vector.crop` is done in-place and keeps all intersecting geometries. It can also be passed the `clip` argument to clip
 intersecting geometries to the extent.
 
 ```{code-cell} ipython3
@@ -165,18 +165,18 @@ print(vect_crop.info())
 
 ## Rasterize
 
-Rasterizing a {class}`~geoutils.Vector` to a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Vector.rasterize` function, which converts vector 
-geometries into gridded values. 
+Rasterizing a {class}`~geoutils.Vector` to a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Vector.rasterize` function, which converts vector
+geometries into gridded values.
 
 By default, the value of index of the {class}`~geoutils.Vector`'s {attr}`~geoutils.Vector.ds` is burned on a raster grid for each respective geometry.
 
 ```{note}
-If an `out_value` of `0` (default) and `in_value` value of `1` are passed (i.e., boolean output), {func}`~geoutils.Vector.rasterize` will automatically cast 
+If an `out_value` of `0` (default) and `in_value` value of `1` are passed (i.e., boolean output), {func}`~geoutils.Vector.rasterize` will automatically cast
 the output to a {class}`~geoutils.Mask`.
 ```
 
 To define the grid on which to rasterize, a reference {class}`~geoutils.Raster` to match can be passed. Alternatively, a {attr}`~geoutils.Raster.res` or {attr}
-`~geoutils.Raster.shape` can be passed to define the grid. 
+`~geoutils.Raster.shape` can be passed to define the grid.
 
 ```{code-cell} ipython3
 # Rasterize all geometries by index
@@ -186,10 +186,10 @@ rasterized_vect
 
 ## Create a `Mask`
 
-Creating a {class}`~geoutils.Mask` from a {class}`~geoutils.Vector` is done through the {func}`~geoutils.Vector.create_mask` function, which converts vector 
+Creating a {class}`~geoutils.Mask` from a {class}`~geoutils.Vector` is done through the {func}`~geoutils.Vector.create_mask` function, which converts vector
 geometries into boolean gridded values for all features.
 
-Similarly as for {func}`~geoutils.Vector.rasterize`, the function expects parameters to define the grid on which to rasterize the output. A reference 
+Similarly as for {func}`~geoutils.Vector.rasterize`, the function expects parameters to define the grid on which to rasterize the output. A reference
 {class}`~geoutils.Raster` to match can be passed or, alternatively, individual parameters.
 
 ```{code-cell} ipython3
@@ -200,10 +200,10 @@ mask_vect
 
 ## Proximity
 
-Computing proximity from a {class}`~geoutils.Vector` is done through by the {func}`~geoutils.Vector.proximity` function, which computes the closest distance 
+Computing proximity from a {class}`~geoutils.Vector` is done through by the {func}`~geoutils.Vector.proximity` function, which computes the closest distance
 to any geometry in the {class}`~geoutils.Vector`.
 
-Similarly as for {func}`~geoutils.Vector.rasterize`, the function expects parameters to define the grid on which to rasterize the output. A reference 
+Similarly as for {func}`~geoutils.Vector.rasterize`, the function expects parameters to define the grid on which to rasterize the output. A reference
 {class}`~geoutils.Raster` to match can be passed or, alternatively, individual parameters.
 
 ```{code-cell} ipython3
@@ -214,7 +214,7 @@ proximity_to_vect
 
 ## Metric buffering
 
-Computing a buffer accurately in a local metric projection is done through the {func}`~geoutils.Vector.buffer_metric` function, which computes the buffer in 
+Computing a buffer accurately in a local metric projection is done through the {func}`~geoutils.Vector.buffer_metric` function, which computes the buffer in
 a local UTM zone.
 
 ```{code-cell} ipython3

From 16101a87d4d1cbbf2ac9cca3ca3ce6de423b2489 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 30 Mar 2023 10:02:24 -0800
Subject: [PATCH 149/184] Incremental commit on doc

---
 doc/source/about_geoutils.md   | 34 +++++++++----------
 doc/source/core_inheritance.md |  3 +-
 doc/source/index.md            | 17 ++++++----
 doc/source/quick_start.md      | 60 +++++++++++++---------------------
 doc/source/vector_class.md     |  6 ++--
 5 files changed, 52 insertions(+), 68 deletions(-)

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index c01b3a376..161c37b1a 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -12,19 +12,11 @@ making such analysis accessible, efficient and reliable.
 ```
 
 In a few words, GeoUtils can be described as a **convenience package for end-users focusing on geospatial analysis**. It allows to write shorter
-code through consistent higher-level operations, implicit object behaviour and numerical interfacing. In addition, GeoUtils adds analysis-oriented
+code through consistent higher-level operations, implicit object behaviour and interfacing. In addition, GeoUtils adds several analysis-oriented
 functions that require many steps to perform with other packages, and which are robustly tested.
 
-GeoUtils is designed for all Earth and planetary observation science. However, it is generally **most useful for remote sensing and Earth's surface
-applications** that rely on moderate- to high-resolution georeferenced data. All applications that, for analysis, require robust reprojections, re-gridding,
-point interpolation, and other types of fine-grid analysis with millions of pixels.
-
-
-```{important}
-GeoUtils is in early stages of development and its features might evolve rapidly. Note the version you are working on for
-**reproducibility**!
-We are working on making features fully consistent for the first long-term release ``v0.1`` (likely sometime in 2023).
-```
+GeoUtils is designed for all Earth and planetary observation science. However, it is generally **most useful for surface applications that rely on 
+moderate- to high-resolution data** (requiring reprojection, re-gridding, point interpolation, and other types of fine-grid analysis).
 
 ## Why use GeoUtils?
 
@@ -33,7 +25,7 @@ and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) for georeferenc
 [SciPy](https://docs.scipy.org/doc/scipy/) and [Xarray](https://docs.xarray.dev/en/stable/) for scientific computing to provide:
 - A **common and consistent framework** for efficient raster and vector handling,
 - A structure following the **principal of least knowledge**<sup>2</sup> to foster accessibility,
-- A **pythonic arithmetic** and **NumPy interfacing** for robust numerical computing and intuitive analysis.
+- A **pythonic arithmetic** and **NumPy interfacing** for robust numerical computing.
 
 ```{margin}
 <sup>2</sup>Or the [Law of Demeter](https://en.wikipedia.org/wiki/Law_of_Demeter) for software development.
@@ -41,9 +33,9 @@ and [PyProj](https://pyproj4.github.io/pyproj/stable/index.html) for georeferenc
 
 In particular, GeoUtils:
 - Rarely requires more than **single-line operations** thanks to its object-based structure,
-- Strives to rely on **lazy-operations** under-the-hood to avoid unnecessary data loading,
+- Strives to rely on **lazy operations** under-the-hood to avoid unnecessary data loading,
 - Allows for **match-reference operations** to facilitate geospatial handling,
-- Re-implements **several of [GDAL](https://gdal.org/)'s missing features** (Proximity, DEM, Calc, etc),
+- Re-implements **several of [GDAL](https://gdal.org/)'s missing features** (Proximity, DEM through xDEM, etc),
 - Naturally handles **different `dtypes` and `nodata`** values through its NumPy masked-array interface.
 
 
@@ -58,11 +50,15 @@ complexity of [GDAL and OGR](https://gdal.org/)'s Python bindings** for raster a
 [Rasterio](https://rasterio.readthedocs.io/en/latest/) and [GeoPandas](https://geopandas.org/en/stable/docs.html).
 
 However, these new packages still maintain a relatively low-level API to serve all types of geospatial informatics users, **slowing down end-users focusing
-on data analysis**. As a result, basic interfacing between vector data and raster data is not always straightforward and simple higher-level operation (such as
-reprojection to match a reference) are not always computed consistently in the community.
-
-Additionally, [Rasterio](https://rasterio.readthedocs.io/en/latest/) focuses mostly on reading, projecting and writing, and thus **requires array extraction
-and re-encapsulation** either before, during or after any numerical computation to interface with other georeferencing packages.
+on data analysis**. As a result, basic interfacing between vectors and rasters is not always straightforward and simple higher-level operations (such as
+reprojection to match a vector or raster reference, or point interpolation) are not always computed consistently in the community. 
+
+On one hand, [Rasterio](https://rasterio.readthedocs.io/en/latest/) focuses largely on reading, projecting and writing, and thus **requires 
+array extraction, re-encapsulation, and the volatile passing of metadata** either before, during or after any numerical calculations. On the other hand, 
+[GeoPandas](https://geopandas.org/en/stable/docs.html) focuses on integrating [Shapely](https://shapely.readthedocs.io/en/stable/) geometries in the 
+[Pandas](https://pandas.pydata.org/) framework, which is practical for tabular analysis but **yields a multitude of outputs (dataframes, series, geoseries, 
+geometries), often requiring object re-construction and specific reprojection routines** to analyze with other data, or derive metric attributes (area, 
+length).
 
 Finally, **many common geospatial analysis tools are generally unavailable** in existing packages (e.g., boolean-masking from vectors,
 [proximity](https://gdal.org/programs/gdal_proximity.html) estimation, metric buffering) as they rely on a combination of lower-level operations.
diff --git a/doc/source/core_inheritance.md b/doc/source/core_inheritance.md
index 2f9383507..7a60a65b7 100644
--- a/doc/source/core_inheritance.md
+++ b/doc/source/core_inheritance.md
@@ -27,8 +27,7 @@ The {class}`~xdem.DEM` class re-implements all methods of [gdalDEM](https://gdal
 (hillshade, slope, aspect, etc), coded directly in Python for scalability and tested to yield the exact same results.
 Among others, it also adds a {attr}`~xdem.DEM.vref` property to consistently manage vertical referencing (ellipsoid, geoids).
 
-If you are DEM-enthuisiastic, **[check-out our sister-package xDEM](https://xdem.readthedocs.io/en/latest/index.html)** for the analysis of digital
-elevation models.
+If you are DEM-enthusiastic, **[check-out our sister package xDEM](https://xdem.readthedocs.io/en/latest/index.html) for digital elevation models.**
 ```
 
 ## The internal {class}`~geoutils.SatelliteImage` subclass
diff --git a/doc/source/index.md b/doc/source/index.md
index 8e9d2fb1b..962ec1993 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -38,6 +38,13 @@ its testing suite and type checking ([Pytest](https://docs.pytest.org/en/7.2.x/)
 
 # Where to start?
 
+```{important}
+:class: margin
+GeoUtils is in early stages of development and its features might evolve rapidly. Note the version you are working on for
+**reproducibility**!
+We are working on making features fully consistent for the first long-term release ``v0.1`` (likely sometime in 2023).
+```
+
 ::::{grid} 1 2 2 3
 :gutter: 1 1 1 2
 
@@ -73,14 +80,10 @@ Dive into the full documentation.
 
 ::::
 
-----------------
-
-```{important}
-:class: margin
-GeoUtils is in early stages of development and its features might evolve rapidly. Note the version you are working on for
-**reproducibility**!
-We are working on making features fully consistent for the first long-term release ``v0.1`` (likely sometime in 2023).
+```{seealso}
+If you are DEM-enthusiastic, **[check-out our sister package xDEM](https://xdem.readthedocs.io/en/latest/index.html) for digital elevation models.**
 ```
+----------------
 
 # Table of contents
 
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index ff36f9b94..0256ff005 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -30,9 +30,9 @@ rast = gu.Raster(filename_rast)
 vect = gu.Vector(filename_vect)
 ```
 
-A {class}`~geoutils.Raster` is a composition class with four main attributes: a {class}`~numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`, a
-{class}`~pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`, an {class}`~affine.Affine` as {attr}`~geoutils.Raster.transform`, and a {class}`float` or {class}
-`int` as {attr}`geoutils.Raster.nodata`.
+A {class}`~geoutils.Raster` is a composition class with four main attributes: a {class}`numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`, a
+{class}`pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`, an {class}`affine.Affine` as {attr}`~geoutils.Raster.transform`, and a {class}`float` or 
+{class}`int` as {attr}`~geoutils.Raster.nodata`.
 
 
 ```{code-cell} ipython3
@@ -135,7 +135,7 @@ To facilitate the analysis process, GeoUtils includes quick plotting tools that
 Those are wrapped from {func}`rasterio.plot.show` and {func}`geopandas.GeoDataFrame.plot`, and relay any argument passed.
 
 ```{seealso}
-GeoUtils' plotting tools only aim to get rid off the most common hassles when quickly plotting raster and vector data during analysis.
+GeoUtils' plotting tools only aim to smooth out the most common hassles when quickly plotting raster and vectors.
 
 For advanced plotting tools to create "publication-quality" figures, see [Cartopy](https://scitools.org.uk/cartopy/docs/latest/) or
 [GeoPlot](https://residentmario.github.io/geoplot/index.html).
@@ -155,7 +155,7 @@ vect.show(rast_proximity_to_vec, fc="none")
 
 All {class}`~geoutils.Raster` objects support Python arithmetic ({func}`+<operator.add>`, {func}`-<operator.sub>`, {func}`/<operator.truediv>`, {func}`//<operator.floordiv>`, {func}`*<operator.mul>`,
 {func}`**<operator.pow>`, {func}`%<operator.mod>`) with any other {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or
-number. For other {class}`~geoutils.Raster`, the georeferencing must match, while only the shape for other {class}`~numpy.ndarray`.
+number. With another {class}`~geoutils.Raster`, the georeferencing must match, while only the shape with a {class}`~numpy.ndarray`.
 
 ```{code-cell} ipython3
 # Add 1 to the raster array
@@ -208,13 +208,29 @@ Finally, for saving a {class}`~geoutils.Raster` or {class}`~geoutils.Vector` to
 
 ```{code-cell} ipython3
 # Save our AOI vector
-# vect_aoi.save()
+vect_aoi.save("myaoi.gpkg")
 ```
 
 ```{code-cell} ipython3
 :tags: [remove-cell]
 import os
-# os.remove()
+os.remove("myaoi.gpkg")
+```
+
+## Parsing metadata with {class}`~geoutils.SatelliteImage`
+
+In our case, `rast` would be better opened using the {class}`~geoutils.Raster` subclass {class}`~geoutils.SatelliteImage` instead, which tentatively parses
+metadata recognized from the filename or auxiliary files.
+
+```{code-cell} ipython3
+# Name of the image we used
+import os
+print(os.path.basename(filename_rast))
+```
+
+```{code-cell} ipython3
+# Open while parsing metadata
+rast = gu.SatelliteImage(filename_rast, silent=False)
 ```
 
 ```{admonition} Wrap-up
@@ -227,8 +243,6 @@ In a few lines, we:
 **Our result:** a vector of high infrared absorption indexes at least 200 meters away from glaciers
 near Everest, which likely corresponds to **perennial snowfields**.
 
-For a **bonus** example on parsing satellite metadata and DEMs, continue below.
-
 Otherwise, for more **hands-on** examples, explore GeoUtils' gallery of examples!
 ```
 
@@ -247,31 +261,3 @@ See also the full concatenated list of examples below.
     :add-heading: Examples using rasters and vectors
 ```
 
-## **Bonus:** Parsing metadata with {class}`~geoutils.SatelliteImage`
-
-In our case, `rast` would be better opened using the {class}`~geoutils.Raster` subclass {class}`~geoutils.SatelliteImage` instead, which tentatively parses
-metadata recognized from the filename or auxiliary files.
-
-```{code-cell} ipython3
-# Name of the image we used
-import os
-print(os.path.basename(filename_rast))
-```
-
-```{code-cell} ipython3
-# Open while parsing metadata
-rast = gu.SatelliteImage(filename_rast, silent=False)
-```
-
-There are many possible subclass to derive from a {class}`~geoutils.Raster`. Here's an **overview of current {class}`~geoutils.Raster` class inheritance**, which extends into
-[xDEM](https://xdem.readthedocs.io/en/latest/index.html) through the {class}`~xdem.DEM` class for analyzing digital elevation models:
-
-```{eval-rst}
-.. inheritance-diagram:: geoutils.raster.raster geoutils.raster.satimg xdem.dem.DEM
-    :top-classes: geoutils.raster.raster.Raster
-```
-```{seealso}
-The {class}`~xdem.DEM` class of [xDEM](https://xdem.readthedocs.io/en/latest/index.html) re-implements all methods of [gdalDEM](https://gdal.org/programs/gdaldem.html)
-(and more) to derive topographic attributes (hillshade, slope, aspect, etc), coded directly in Python for scalability and tested to yield the exact same
-results.
-```
diff --git a/doc/source/vector_class.md b/doc/source/vector_class.md
index e13018c21..07941e058 100644
--- a/doc/source/vector_class.md
+++ b/doc/source/vector_class.md
@@ -175,8 +175,8 @@ If an `out_value` of `0` (default) and `in_value` value of `1` are passed (i.e.,
 the output to a {class}`~geoutils.Mask`.
 ```
 
-To define the grid on which to rasterize, a reference {class}`~geoutils.Raster` to match can be passed. Alternatively, a {attr}`~geoutils.Raster.res` or {attr}
-`~geoutils.Raster.shape` can be passed to define the grid.
+To define the grid on which to rasterize, a reference {class}`~geoutils.Raster` to match can be passed. Alternatively, a {attr}`~geoutils.Raster.res` or 
+{attr}`~geoutils.Raster.shape` can be passed to define the grid.
 
 ```{code-cell} ipython3
 # Rasterize all geometries by index
@@ -184,7 +184,7 @@ rasterized_vect = vect.rasterize(rast)
 rasterized_vect
 ```
 
-## Create a `Mask`
+## Create a {class}`~geoutils.Mask`
 
 Creating a {class}`~geoutils.Mask` from a {class}`~geoutils.Vector` is done through the {func}`~geoutils.Vector.create_mask` function, which converts vector
 geometries into boolean gridded values for all features.

From 4cde0585d29d8701b2c1291649c52317233ea086 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 30 Mar 2023 10:02:44 -0800
Subject: [PATCH 150/184] Linting

---
 doc/source/about_geoutils.md | 14 +++++++-------
 doc/source/quick_start.md    |  3 +--
 doc/source/vector_class.md   |  2 +-
 3 files changed, 9 insertions(+), 10 deletions(-)

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index 161c37b1a..d07993469 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -15,7 +15,7 @@ In a few words, GeoUtils can be described as a **convenience package for end-use
 code through consistent higher-level operations, implicit object behaviour and interfacing. In addition, GeoUtils adds several analysis-oriented
 functions that require many steps to perform with other packages, and which are robustly tested.
 
-GeoUtils is designed for all Earth and planetary observation science. However, it is generally **most useful for surface applications that rely on 
+GeoUtils is designed for all Earth and planetary observation science. However, it is generally **most useful for surface applications that rely on
 moderate- to high-resolution data** (requiring reprojection, re-gridding, point interpolation, and other types of fine-grid analysis).
 
 ## Why use GeoUtils?
@@ -51,13 +51,13 @@ complexity of [GDAL and OGR](https://gdal.org/)'s Python bindings** for raster a
 
 However, these new packages still maintain a relatively low-level API to serve all types of geospatial informatics users, **slowing down end-users focusing
 on data analysis**. As a result, basic interfacing between vectors and rasters is not always straightforward and simple higher-level operations (such as
-reprojection to match a vector or raster reference, or point interpolation) are not always computed consistently in the community. 
+reprojection to match a vector or raster reference, or point interpolation) are not always computed consistently in the community.
 
-On one hand, [Rasterio](https://rasterio.readthedocs.io/en/latest/) focuses largely on reading, projecting and writing, and thus **requires 
-array extraction, re-encapsulation, and the volatile passing of metadata** either before, during or after any numerical calculations. On the other hand, 
-[GeoPandas](https://geopandas.org/en/stable/docs.html) focuses on integrating [Shapely](https://shapely.readthedocs.io/en/stable/) geometries in the 
-[Pandas](https://pandas.pydata.org/) framework, which is practical for tabular analysis but **yields a multitude of outputs (dataframes, series, geoseries, 
-geometries), often requiring object re-construction and specific reprojection routines** to analyze with other data, or derive metric attributes (area, 
+On one hand, [Rasterio](https://rasterio.readthedocs.io/en/latest/) focuses largely on reading, projecting and writing, and thus **requires
+array extraction, re-encapsulation, and the volatile passing of metadata** either before, during or after any numerical calculations. On the other hand,
+[GeoPandas](https://geopandas.org/en/stable/docs.html) focuses on integrating [Shapely](https://shapely.readthedocs.io/en/stable/) geometries in the
+[Pandas](https://pandas.pydata.org/) framework, which is practical for tabular analysis but **yields a multitude of outputs (dataframes, series, geoseries,
+geometries), often requiring object re-construction and specific reprojection routines** to analyze with other data, or derive metric attributes (area,
 length).
 
 Finally, **many common geospatial analysis tools are generally unavailable** in existing packages (e.g., boolean-masking from vectors,
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index 0256ff005..8acedf327 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -31,7 +31,7 @@ vect = gu.Vector(filename_vect)
 ```
 
 A {class}`~geoutils.Raster` is a composition class with four main attributes: a {class}`numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`, a
-{class}`pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`, an {class}`affine.Affine` as {attr}`~geoutils.Raster.transform`, and a {class}`float` or 
+{class}`pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`, an {class}`affine.Affine` as {attr}`~geoutils.Raster.transform`, and a {class}`float` or
 {class}`int` as {attr}`~geoutils.Raster.nodata`.
 
 
@@ -260,4 +260,3 @@ See also the full concatenated list of examples below.
 .. minigallery:: geoutils.Raster
     :add-heading: Examples using rasters and vectors
 ```
-
diff --git a/doc/source/vector_class.md b/doc/source/vector_class.md
index 07941e058..c16e3c156 100644
--- a/doc/source/vector_class.md
+++ b/doc/source/vector_class.md
@@ -175,7 +175,7 @@ If an `out_value` of `0` (default) and `in_value` value of `1` are passed (i.e.,
 the output to a {class}`~geoutils.Mask`.
 ```
 
-To define the grid on which to rasterize, a reference {class}`~geoutils.Raster` to match can be passed. Alternatively, a {attr}`~geoutils.Raster.res` or 
+To define the grid on which to rasterize, a reference {class}`~geoutils.Raster` to match can be passed. Alternatively, a {attr}`~geoutils.Raster.res` or
 {attr}`~geoutils.Raster.shape` can be passed to define the grid.
 
 ```{code-cell} ipython3

From ba6cad184df9dbd082eb7751a8940b5f25aa87a0 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 13:01:31 -0800
Subject: [PATCH 151/184] Add tests for get_footprint_projected

---
 doc/source/api.md              |  4 +-
 doc/source/core_array_funcs.md | 36 ++++++++++++++----
 doc/source/proj_tools.md       | 53 +++++++++++++++++++++++++-
 geoutils/projtools.py          | 68 ++++++++++++++++++++++++++++++++++
 geoutils/raster/raster.py      | 14 +++++++
 geoutils/vector.py             | 20 ++++++++--
 tests/test_projtools.py        | 44 ++++++++++++++++++++++
 7 files changed, 226 insertions(+), 13 deletions(-)

diff --git a/doc/source/api.md b/doc/source/api.md
index acface42f..b32e8cf68 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -314,13 +314,15 @@ The equivalent of {attr}`geopandas.GeoDataFrame.bounds` (i.e., a per-feature bou
     Vector.buffer_without_overlap
 ```
 
-### Coordinate and extent methods
+### Projection tools
 
 ```{eval-rst}
 .. autosummary::
     :toctree: gen_modules/
 
+    Vector.from_bounds_projected
     Vector.get_bounds_projected
+    Vector.get_footprint_projected
 ```
 
 ### Indexing
diff --git a/doc/source/core_array_funcs.md b/doc/source/core_array_funcs.md
index df97d5499..4cf92952b 100644
--- a/doc/source/core_array_funcs.md
+++ b/doc/source/core_array_funcs.md
@@ -87,21 +87,43 @@ which are all other non-universal functions that can be applied to an array. Tho
 np.max(raster)
 ```
 
-```{code-cell} ipython3
-# Masked-array function
-np.ma.median(raster)
-```
-
 ```{code-cell} ipython3
 # Expliciting an axis for reduction
 np.count_nonzero(raster, axis=2)
 ```
 
-
 Not all array functions are supported, however. GeoUtils supports nearly all [mathematical functions](https://numpy.org/doc/stable/reference/routines.math.html),
 [masked-array functions](https://numpy.org/doc/stable/reference/routines.ma.html) and [logical functions](https://numpy.org/doc/stable/reference/routines.logic.html).
 A full list of supported array function is available in {attr}`geoutils.raster.raster.handled_array_funcs`.
 
 ## Respecting masked values
 
-TODO: finalize once masked-array recursion bug is fixed
+There are two ways to compute statistics on {class}`Rasters<geoutils.Raster>` while respecting masked values:
+
+1. Use any NumPy core function (`np.func`) directly on the {class}`~geoutils.Raster` (this includes NaN functions `np.nanfunc`),
+2. Use any NumPy masked-array function (`np.ma.func`) on {attr}`Raster.data<geoutils.Raster.data>`.
+
+```{code-cell} ipython3
+# Numpy core function applied to the raster
+np.median(raster)
+```
+
+```{code-cell} ipython3
+# Numpy NaN function applied to the raster
+np.nanmedian(raster)
+```
+
+```{code-cell} ipython3
+# Masked-array function on the data
+np.ma.median(raster.data)
+```
+
+If a NumPy core function raises an error (e.g., `np.percentile`), {class}`~geoutils.Raster.nodata` values might not be respected. In this case, use the NaN 
+function on the {class}`~geoutils.Raster`.
+
+
+```{note}
+Unfortunately, masked-array functions `np.ma.func` cannot be recognized yet if applied directly to a {class}`~geoutils.Raster`, but **this should come 
+soon** as related interfacing is in the works in NumPy!
+```
+
diff --git a/doc/source/proj_tools.md b/doc/source/proj_tools.md
index cbcf3dea9..2cbb71798 100644
--- a/doc/source/proj_tools.md
+++ b/doc/source/proj_tools.md
@@ -1,8 +1,59 @@
+---
+file_format: mystnb
+kernelspec:
+  name: geoutils
+---
 (proj-tools)=
 
 # Projection tools
 
-Convenient `pyproj` wrappers.
+This section describes projection tools that are common to {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>`, and facilitate 
+geospatial analysis.
+
+## Get projected bounds
+
+Projected bounds can be directly derived from both {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>` through the
+{func}`~geoutils.Raster.get_bounds_projected` function.
+
+```{code-cell} ipython3
+import geoutils as gu
+
+# Initiate a raster from disk
+rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+print(rast.info())
+
+# Get raster bounds in geographic CRS by passing its EPSG code
+rast.get_bounds_projected(4326)
+```
+
+```{important}
+When projecting to a new CRS, the footprint shape of the data is generally deformed. To account for this, use {func}`~geoutils.Raster.
+get_footprint_projected` described below.
+```
+
+## Get projected footprint
+
+A projected footprint can be derived from both {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>` through the
+{func}`~geoutils.Raster.get_footprint_projected` function.
+
+For this, the original rectangular footprint polygon lines are densified to respect the deformation during reprojection. 
+
+```{code-cell} ipython3
+# Get raster footprint in geographic CRS
+rast_footprint = rast.get_footprint_projected(3412)
+
+rast_footprint.show()
+```
+
+This is for instance useful to check for intersection with other data.
+
+```{code-cell} ipython3
+# Open a vector
+vect = gu.Vector(gu.examples.get_path("exploradores_rgi_outlines"))
+
+# Do these raster and vector intersect?
+any(vect.intersects(rast_footprint))
+```
 
 ## Find a local metric projection
 
diff --git a/geoutils/projtools.py b/geoutils/projtools.py
index d45dbbd46..9d15b4304 100644
--- a/geoutils/projtools.py
+++ b/geoutils/projtools.py
@@ -6,6 +6,7 @@
 from collections import abc
 from math import ceil, floor
 
+import geopandas
 import geopandas as gpd
 import numpy as np
 import pyproj
@@ -293,3 +294,70 @@ def _get_bounds_projected(
     new_bounds = rio.coords.BoundingBox(*new_bounds)
 
     return new_bounds
+
+
+def _densify_geometry(line_geometry: shapely.LineString, densify_pts: int = 5000) -> shapely.LineString:
+    """
+    Densify a linestring geometry.
+
+    Inspired by: https://gis.stackexchange.com/questions/372912/how-to-densify-linestring-vertices-in-shapely-geopandas.
+
+    :param line_geometry: Linestring.
+    :param densify_pts: Number of points to densify each line.
+
+    :return: Densified linestring.
+    """
+
+    # Get the segments (list of linestrings)
+    segments = list(map(shapely.LineString, zip(line_geometry.coords[:-1], line_geometry.coords[1:])))
+
+    # To store new coordinate tuples
+    xy = []
+
+    # For each segment, densify the points
+    for i, seg in enumerate(segments):
+
+        # Get the segment length
+        length_m = seg.length
+
+        # Loop over a distance on the segment length
+        densified_seg = np.linspace(0, length_m, 1 + densify_pts)
+        # (removing the last point, as it will be the first point of the next segment,
+        # except for the last segment)
+        if i < len(segments) - 1:
+            densified_seg = densified_seg[:-1]
+
+        for distance_along_old_line in densified_seg:
+            # Interpolate a point every step along the old line
+            point = seg.interpolate(distance_along_old_line)
+            # Extract the coordinates and store them in xy list
+            xp, yp = point.x, point.y
+            xy.append((xp, yp))
+
+    # Recreate a new line with densified points
+    densified_line_geometry = shapely.LineString(xy)
+
+    return densified_line_geometry
+
+
+def _get_footprint_projected(
+    bounds: rio.coords.BoundingBox, in_crs: CRS, out_crs: CRS, densify_pts: int = 5000
+) -> gpd.GeoDataFrame:
+
+    # Get bounds
+    left, bottom, right, top = bounds
+
+    # Create linestring
+    linestring = shapely.LineString([[left, bottom], [left, top], [right, top], [right, bottom], [left, bottom]])
+
+    # Densify linestring
+    densified_line_geometry = _densify_geometry(linestring, densify_pts=densify_pts)
+
+    # Get polygon from new linestring
+    densified_poly = shapely.Polygon(densified_line_geometry)
+
+    # Reproject the polygon
+    df = gpd.GeoDataFrame({"geometry": [densified_poly]}, crs=in_crs)
+    reproj_df = df.to_crs(crs=out_crs)
+
+    return reproj_df
\ No newline at end of file
diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index 980065206..8bef15bd1 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -2241,6 +2241,20 @@ def get_bounds_projected(self, out_crs: CRS, densify_pts: int = 5000) -> rio.coo
 
         return new_bounds
 
+    def get_footprint_projected(self, out_crs: CRS, densify_pts: int = 5000) -> Vector:
+        """
+        Get raster footprint projected in a specified CRS.
+
+        The polygon points of the vector are densified during reprojection to warp
+        the rectangular square footprint of the original projection into the new one.
+
+        :param out_crs: Output CRS.
+        :param densify_pts: Maximum points to be added between image corners to account for non linear edges.
+         Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
+        """
+
+        return Vector.from_bounds_projected(self, out_crs=out_crs, densify_pts=densify_pts)
+
     def intersection(self, rst: str | Raster, match_ref: bool = True) -> tuple[float, float, float, float]:
         """
         Returns the bounding box of intersection between this image and another.
diff --git a/geoutils/vector.py b/geoutils/vector.py
index d419e2ce8..5a3804ee9 100644
--- a/geoutils/vector.py
+++ b/geoutils/vector.py
@@ -39,7 +39,7 @@
 
 import geoutils as gu
 from geoutils.misc import copy_doc
-from geoutils.projtools import _get_bounds_projected, bounds2poly
+from geoutils.projtools import _get_bounds_projected, _get_footprint_projected, bounds2poly
 
 # This is a generic Vector-type (if subclasses are made, this will change appropriately)
 VectorType = TypeVar("VectorType", bound="Vector")
@@ -1337,9 +1337,7 @@ def from_bounds_projected(
         if out_crs is None:
             out_crs = raster_or_vector.crs
 
-        poly = gu.projtools.bounds2poly(raster_or_vector, out_crs=out_crs)
-
-        df = gpd.GeoDataFrame(geometry=[poly], crs=out_crs)
+        df = _get_footprint_projected(raster_or_vector.bounds, in_crs=raster_or_vector.crs, out_crs=out_crs, densify_pts=densify_pts)
 
         return cls(df)  # type: ignore
 
@@ -1468,6 +1466,20 @@ def get_bounds_projected(self, out_crs: CRS, densify_pts: int = 5000) -> rio.coo
 
         return new_bounds
 
+    def get_footprint_projected(self, out_crs: CRS, densify_pts: int = 5000) -> Vector:
+        """
+        Get vector footprint projected in a specified CRS.
+
+        The polygon points of the vector are densified during reprojection to warp
+        the rectangular square footprint of the original projection into the new one.
+
+        :param out_crs: Output CRS.
+        :param densify_pts: Maximum points to be added between image corners to account for non linear edges.
+         Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
+        """
+
+        return Vector.from_bounds_projected(self, out_crs=out_crs, densify_pts=densify_pts)
+
     def buffer_without_overlap(self, buffer_size: int | float, metric: bool = True, plot: bool = False) -> Vector:
         """
         Buffer the vector geometries without overlapping each other.
diff --git a/tests/test_projtools.py b/tests/test_projtools.py
index 3e4c9904a..55a985c54 100644
--- a/tests/test_projtools.py
+++ b/tests/test_projtools.py
@@ -1,9 +1,13 @@
 """
 Test projtools
 """
+import os.path
+
 import numpy as np
 import pyproj.exceptions
 import pytest
+import shapely
+import geopandas as gpd
 
 import geoutils as gu
 import geoutils.projtools as pt
@@ -14,7 +18,9 @@ class TestProjTools:
     landsat_b4_path = examples.get_path("everest_landsat_b4")
     landsat_b4_crop_path = examples.get_path("everest_landsat_b4_cropped")
     landsat_rgb_path = examples.get_path("everest_landsat_rgb")
+    everest_outlines_path = examples.get_path("everest_rgi_outlines")
     aster_dem_path = examples.get_path("exploradores_aster_dem")
+    aster_outlines_path = examples.get_path("exploradores_rgi_outlines")
 
     def test_latlon_to_utm(self) -> None:
         # First: Check errors are raised when format is invalid
@@ -141,3 +147,41 @@ def test_merge_bounds(self) -> None:
         assert out_bounds[1] == min(img1.bounds.bottom, outlines.ds.total_bounds[1])
         assert out_bounds[2] == max(img1.bounds.right, outlines.ds.total_bounds[2])
         assert out_bounds[3] == max(img1.bounds.top, outlines.ds.total_bounds[3])
+
+
+    # Try all vectors and rasters
+    @pytest.mark.parametrize("fn_raster_or_vector",
+                            [landsat_b4_path, landsat_rgb_path, landsat_b4_crop_path, everest_outlines_path, aster_dem_path, aster_outlines_path]) # type: ignore
+    # Try with geographic, a UTM zone and a Robinson
+    @pytest.mark.parametrize("out_crs", [pyproj.CRS.from_epsg(4326), pyproj.CRS.from_epsg(32610)]) # type: ignore
+    @pytest.mark.parametrize("densify_pts", [2, 10, 5000])
+    def test_get_footprint_projected(self, fn_raster_or_vector: str, out_crs: pyproj.CRS, densify_pts: int) -> None:
+        """Test the get footprint projected function."""
+
+        # Open raster or vector
+        if os.path.splitext(os.path.basename(fn_raster_or_vector))[-1] == ".tif":
+            rast_or_vect = gu.Raster(fn_raster_or_vector)
+        else:
+            rast_or_vect = gu.Vector(fn_raster_or_vector)
+
+        # Get footprint
+        footprint = rast_or_vect.get_footprint_projected(out_crs=out_crs, densify_pts=densify_pts)
+
+        # Assert it is a vector containing a polygon geometry
+        assert isinstance(footprint, gu.Vector)
+        assert isinstance(footprint.geometry[0], shapely.Polygon)
+
+        # Check that the original corner points were conserved
+        left, bottom, right, top = rast_or_vect.bounds
+        corners = [shapely.Point([x, y]) for (x,y) in [(left, bottom), (left, top), (right, top), (right, bottom)]]
+        df = gpd.GeoDataFrame({"geometry": corners}, crs=rast_or_vect.crs)
+        df_reproj = df.to_crs(crs=out_crs)
+
+        assert all(point.coords[0] in footprint.geometry[0].exterior.coords[:] for point in df_reproj.geometry)
+
+        # Check that densification yields a logical amount of points
+        # (4 initial corner points times the densification factor + the last point)
+        assert len(footprint.geometry[0].exterior.coords[:]) == densify_pts * 4 + 1
+
+
+

From 07f34a3c68742ee2333f31d18fd50f1016038efe Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 14:53:25 -0800
Subject: [PATCH 152/184] Add get_metric_crs and tests

---
 doc/source/api.md         | 11 +++++++-
 doc/source/proj_tools.md  |  8 ++----
 geoutils/projtools.py     | 35 ++++++++++++++++++++++++
 geoutils/raster/raster.py | 23 ++++++++++++++--
 geoutils/vector.py        | 56 +++++++++++++++++++--------------------
 tests/test_projtools.py   | 27 +++++++++++++++++++
 6 files changed, 122 insertions(+), 38 deletions(-)

diff --git a/doc/source/api.md b/doc/source/api.md
index b32e8cf68..ebbb84549 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -132,9 +132,18 @@ documentation.
     Raster.ij2xy
     Raster.coords
     Raster.shift
+    Raster.outside_image
+```
+
+### Projection methods
+
+```{eval-rst}
+.. autosummary::
+    :toctree: gen_modules/
+
     Raster.get_bounds_projected
+    Raster.get_footprint_projected
     Raster.intersection
-    Raster.outside_image
 ```
 
 ### Testing methods
diff --git a/doc/source/proj_tools.md b/doc/source/proj_tools.md
index 2cbb71798..0319ff97f 100644
--- a/doc/source/proj_tools.md
+++ b/doc/source/proj_tools.md
@@ -40,7 +40,7 @@ For this, the original rectangular footprint polygon lines are densified to resp
 
 ```{code-cell} ipython3
 # Get raster footprint in geographic CRS
-rast_footprint = rast.get_footprint_projected(3412)
+rast_footprint = rast.get_footprint_projected(4326)
 
 rast_footprint.show()
 ```
@@ -55,10 +55,6 @@ vect = gu.Vector(gu.examples.get_path("exploradores_rgi_outlines"))
 any(vect.intersects(rast_footprint))
 ```
 
-## Find a local metric projection
+## Estimate a local metric projection
 
-## Merge or align multiple bounds
 
-## Create a tiling
-
-## Shape-preserving vector reprojection
diff --git a/geoutils/projtools.py b/geoutils/projtools.py
index 9d15b4304..333a0d540 100644
--- a/geoutils/projtools.py
+++ b/geoutils/projtools.py
@@ -5,6 +5,8 @@
 
 from collections import abc
 from math import ceil, floor
+import warnings
+from typing import Literal
 
 import geopandas
 import geopandas as gpd
@@ -63,6 +65,39 @@ def utm_to_epsg(utm: str) -> int:
 
     return int(epsg)
 
+def _get_utm_ups_crs(df: gpd.GeoDataFrame, method: Literal["centroid"] | Literal["geopandas"] = "centroid") -> CRS:
+
+    # Check input
+    if method.lower() not in ["centroid", "geopandas"]:
+        raise ValueError("Method to get local CRS should be one of 'centroid' and 'geopandas'.")
+
+    # Use geopandas if that is the desired method
+    if method == "geopandas":
+        crs = df.estimate_utm_crs()
+
+    # Else, compute the centroid of dissolved geometries and get UTM or UPS
+    else:
+        # Get a rough centroid in geographic coordinates (ignore the warning that it is not the most precise):
+        with warnings.catch_warnings():
+            warnings.simplefilter(action="ignore", category=UserWarning)
+            shp_wgs84 = df.to_crs(epsg=4326).dissolve()
+            lat, lon = shp_wgs84.centroid.y.values[0], shp_wgs84.centroid.x.values[0]
+            del shp_wgs84
+
+        # If absolute latitude is below 80, get the EPSG code of the local UTM
+        if -80 <= lat <= 80:
+            utm = latlon_to_utm(lat, lon)
+            epsg = utm_to_epsg(utm)
+            crs = pyproj.CRS.from_epsg(epsg)
+        # If latitude is below 80, get UPS South
+        elif lat < -80:
+            crs = pyproj.CRS.from_epsg(32761)
+        # Else, get UPS North
+        else:
+            crs = pyproj.CRS.from_epsg(32661)
+
+    return crs
+
 
 def bounds2poly(
     boundsGeom: list[float] | rio.io.DatasetReader,
diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index 8bef15bd1..7ca08d61d 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -33,7 +33,7 @@
 
 import geoutils.vector as gv
 from geoutils._typing import AnyNumber, ArrayLike, DTypeLike
-from geoutils.projtools import _get_bounds_projected
+from geoutils.projtools import _get_bounds_projected, _get_footprint_projected, _get_utm_ups_crs
 from geoutils.raster.sampling import subsample_array
 from geoutils.vector import Vector
 
@@ -2253,7 +2253,26 @@ def get_footprint_projected(self, out_crs: CRS, densify_pts: int = 5000) -> Vect
          Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
         """
 
-        return Vector.from_bounds_projected(self, out_crs=out_crs, densify_pts=densify_pts)
+        return Vector(_get_footprint_projected(bounds=self.bounds, in_crs=self.crs, out_crs=out_crs, densify_pts=densify_pts))
+
+    def get_metric_crs(self, local_crs_type: Literal["universal"] | Literal["custom"] = "universal",
+                       method: Literal["centroid"] | Literal["geopandas"] = "centroid") -> CRS:
+        """
+        Get local metric coordinate reference system for the raster (UTM, UPS, or custom Mercator or Polar).
+
+        :param local_crs_type: Whether to get a "universal" local CRS (UTM or UPS) or a "custom" local CRS
+            (Mercator or Polar centered on centroid).
+        :param method: Method to choose the zone of the CRS, either based on the centroid of the footprint
+            or the extent as implemented in :func:`geopandas.GeoDataFrame.estimate_utm_crs`.
+            Forced to centroid if `local_crs="custom"`.
+        """
+
+        # For universal CRS (UTM or UPS)
+        if local_crs_type == "universal":
+            return _get_utm_ups_crs(self.get_footprint_projected(out_crs=self.crs).ds, method=method)
+        # For a custom CRS
+        else:
+            raise NotImplementedError("This is not implemented yet.")
 
     def intersection(self, rst: str | Raster, match_ref: bool = True) -> tuple[float, float, float, float]:
         """
diff --git a/geoutils/vector.py b/geoutils/vector.py
index 5a3804ee9..b4ebf5a4f 100644
--- a/geoutils/vector.py
+++ b/geoutils/vector.py
@@ -39,7 +39,7 @@
 
 import geoutils as gu
 from geoutils.misc import copy_doc
-from geoutils.projtools import _get_bounds_projected, _get_footprint_projected, bounds2poly
+from geoutils.projtools import _get_bounds_projected, _get_footprint_projected, _get_utm_ups_crs, bounds2poly
 
 # This is a generic Vector-type (if subclasses are made, this will change appropriately)
 VectorType = TypeVar("VectorType", bound="Vector")
@@ -1413,30 +1413,19 @@ def proximity(
 
     def buffer_metric(self, buffer_size: float) -> Vector:
         """
-        Buffer the vector features in a local metric system (UTM only).
+        Buffer the vector features in a local metric system (UTM or UPS).
 
-        The outlines are projected to a local UTM, then reverted to the original projection after buffering.
+        The outlines are projected to the local UTM or UPS, then reverted to the original projection after buffering.
 
         :param buffer_size: Buffering distance in meters.
 
         :return: Buffered shapefile.
         """
 
-        from geoutils.projtools import latlon_to_utm, utm_to_epsg
-
-        # Get a rough centroid in geographic coordinates (ignore the warning that it is not the most precise):
-        with warnings.catch_warnings():
-            warnings.simplefilter(action="ignore", category=UserWarning)
-            shp_wgs84 = self.ds.to_crs(epsg=4326)
-            lat, lon = shp_wgs84.centroid.y.values[0], shp_wgs84.centroid.x.values[0]
-            del shp_wgs84
-
-        # Get the EPSG code of the local UTM
-        utm = latlon_to_utm(lat, lon)
-        epsg = utm_to_epsg(utm)
+        crs_utm_ups = _get_utm_ups_crs(df=self.ds)
 
         # Reproject the shapefile in the local UTM
-        ds_utm = self.ds.to_crs(epsg=epsg)
+        ds_utm = self.ds.to_crs(crs=crs_utm_ups)
 
         # Buffer the shapefile
         ds_buffered = ds_utm.buffer(distance=buffer_size)
@@ -1478,7 +1467,26 @@ def get_footprint_projected(self, out_crs: CRS, densify_pts: int = 5000) -> Vect
          Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
         """
 
-        return Vector.from_bounds_projected(self, out_crs=out_crs, densify_pts=densify_pts)
+        return Vector(_get_footprint_projected(bounds=self.bounds, in_crs=self.crs, out_crs=out_crs, densify_pts=densify_pts))
+
+    def get_metric_crs(self, local_crs_type: Literal["universal"] | Literal["custom"] = "universal",
+                       method: Literal["centroid"] | Literal["geopandas"] = "centroid") -> CRS:
+        """
+        Get local metric coordinate reference system for the vector (UTM, UPS, or custom Mercator or Polar).
+
+        :param local_crs_type: Whether to get a "universal" local CRS (UTM or UPS) or a "custom" local CRS
+            (Mercator or Polar centered on centroid).
+        :param method: Method to choose the zone of the CRS, either based on the centroid of the footprint
+            or the extent as implemented in :func:`geopandas.GeoDataFrame.estimate_utm_crs`.
+            Forced to centroid if `local_crs="custom"`.
+        """
+
+        # For universal CRS (UTM or UPS)
+        if local_crs_type == "universal":
+            return _get_utm_ups_crs(self.ds, method=method)
+        # For a custom CRS
+        else:
+            raise NotImplementedError("This is not implemented yet.")
 
     def buffer_without_overlap(self, buffer_size: int | float, metric: bool = True, plot: bool = False) -> Vector:
         """
@@ -1513,18 +1521,8 @@ def buffer_without_overlap(self, buffer_size: int | float, metric: bool = True,
 
         # Project in local UTM if metric is True
         if metric:
-            # Get a rough centroid in geographic coordinates (ignore the warning that it is not the most precise):
-            with warnings.catch_warnings():
-                warnings.simplefilter(action="ignore", category=UserWarning)
-                shp_wgs84 = self.ds.to_crs(epsg=4326)
-                lat, lon = shp_wgs84.centroid.y.values[0], shp_wgs84.centroid.x.values[0]
-                del shp_wgs84
-
-            # Get the EPSG code of the local UTM
-            utm = latlon_to_utm(lat, lon)
-            epsg = utm_to_epsg(utm)
-
-            gdf = self.ds.to_crs(epsg=epsg)
+            crs_utm_ups = _get_utm_ups_crs(df=self.ds)
+            gdf = self.ds.to_crs(crs=crs_utm_ups)
         else:
             gdf = self.ds
 
diff --git a/tests/test_projtools.py b/tests/test_projtools.py
index 55a985c54..0ed2d16c8 100644
--- a/tests/test_projtools.py
+++ b/tests/test_projtools.py
@@ -90,6 +90,33 @@ def test_utm_to_epsg(self) -> None:
         assert pt.utm_to_epsg("1N") == pt.utm_to_epsg("01N") == pt.utm_to_epsg("01n")
         assert pt.utm_to_epsg("08s") == pt.utm_to_epsg("8S") == pt.utm_to_epsg("08S")
 
+    @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])  # type: ignore
+    def test_get_metric_crs_utm(self, example: str) -> None:
+        """Check that the function works consistently with GeoPandas for UTM."""
+
+        # Open raster
+        rast = gu.Raster(example)
+
+        # Get utm zone from GeoPandas and GeoUtils
+        crs_gu = rast.get_metric_crs()
+        crs_geopandas = rast.get_metric_crs(method="geopandas")
+
+        # Verify they are the same
+        assert crs_gu == crs_geopandas
+
+    def test_get_metric_crs_ups(self):
+        """Check that the function works for UPS with points at high latitude."""
+
+        # Create a vector of a single point in geographic coordinates
+        point_north = shapely.Point([0, 84])
+        point_south = shapely.Point([0, -84])
+        vect_north = gu.Vector(gpd.GeoDataFrame({"geometry": [point_north]}, crs=pyproj.CRS.from_epsg(4326)))
+        vect_south = gu.Vector(gpd.GeoDataFrame({"geometry": [point_south]}, crs=pyproj.CRS.from_epsg(4326)))
+
+        # Check that UPS North and South are indeed returned
+        assert vect_north.get_metric_crs() == pyproj.CRS.from_epsg(32661)
+        assert vect_south.get_metric_crs() == pyproj.CRS.from_epsg(32761)
+
     @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])  # type: ignore
     def test_latlon_reproject(self, example: str) -> None:
         """

From ab3aa3591b4f20cbcc85a48e06001ed955c0a586 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 14:56:52 -0800
Subject: [PATCH 153/184] Add description of functions in projtools

---
 geoutils/projtools.py | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)

diff --git a/geoutils/projtools.py b/geoutils/projtools.py
index 333a0d540..cf741c02f 100644
--- a/geoutils/projtools.py
+++ b/geoutils/projtools.py
@@ -66,7 +66,14 @@ def utm_to_epsg(utm: str) -> int:
     return int(epsg)
 
 def _get_utm_ups_crs(df: gpd.GeoDataFrame, method: Literal["centroid"] | Literal["geopandas"] = "centroid") -> CRS:
+    """
+    Get universal metric coordinate reference system for the vector passed (UTM or UPS).
 
+    :param df: Input geodataframe.
+    :param method: Method to choose the zone of the CRS, either based on the centroid of the footprint
+       or the extent as implemented in :func:`geopandas.GeoDataFrame.estimate_utm_crs`.
+       Forced to centroid if `local_crs="custom"`.
+    """
     # Check input
     if method.lower() not in ["centroid", "geopandas"]:
         raise ValueError("Method to get local CRS should be one of 'centroid' and 'geopandas'.")
@@ -323,6 +330,15 @@ def compare_proj(proj1: CRS, proj2: CRS) -> bool:
 def _get_bounds_projected(
     bounds: rio.coords.BoundingBox, in_crs: CRS, out_crs: CRS, densify_pts: int = 5000
 ) -> rio.coords.BoundingBox:
+    """
+    Get bounds projected in a specified CRS.
+
+    :param in_crs: Input CRS.
+    :param out_crs: Output CRS.
+    :param densify_pts: Maximum points to be added between image corners to account for nonlinear edges.
+    Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
+    """
+
     # Calculate new bounds
     left, bottom, right, top = bounds
     new_bounds = rio.warp.transform_bounds(in_crs, out_crs, left, bottom, right, top, densify_pts)
@@ -378,6 +394,17 @@ def _densify_geometry(line_geometry: shapely.LineString, densify_pts: int = 5000
 def _get_footprint_projected(
     bounds: rio.coords.BoundingBox, in_crs: CRS, out_crs: CRS, densify_pts: int = 5000
 ) -> gpd.GeoDataFrame:
+    """
+   Get bounding box footprint projected in a specified CRS.
+
+   The polygon points of the vector are densified during reprojection to warp
+   the rectangular square footprint of the original projection into the new one.
+
+   :param in_crs: Input CRS.
+   :param out_crs: Output CRS.
+   :param densify_pts: Maximum points to be added between image corners to account for non linear edges.
+    Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
+   """
 
     # Get bounds
     left, bottom, right, top = bounds

From efcbfd24e2440bd1e494bc02afaa16eded219729 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 14:58:05 -0800
Subject: [PATCH 154/184] Linting

---
 doc/source/core_array_funcs.md |  5 ++---
 doc/source/proj_tools.md       |  6 ++----
 geoutils/projtools.py          | 21 +++++++++++----------
 geoutils/raster/raster.py      | 17 +++++++++++++----
 geoutils/vector.py             | 24 +++++++++++++++++-------
 tests/test_projtools.py        | 27 ++++++++++++++++-----------
 6 files changed, 61 insertions(+), 39 deletions(-)

diff --git a/doc/source/core_array_funcs.md b/doc/source/core_array_funcs.md
index 4cf92952b..c31fecef1 100644
--- a/doc/source/core_array_funcs.md
+++ b/doc/source/core_array_funcs.md
@@ -118,12 +118,11 @@ np.nanmedian(raster)
 np.ma.median(raster.data)
 ```
 
-If a NumPy core function raises an error (e.g., `np.percentile`), {class}`~geoutils.Raster.nodata` values might not be respected. In this case, use the NaN 
+If a NumPy core function raises an error (e.g., `np.percentile`), {class}`~geoutils.Raster.nodata` values might not be respected. In this case, use the NaN
 function on the {class}`~geoutils.Raster`.
 
 
 ```{note}
-Unfortunately, masked-array functions `np.ma.func` cannot be recognized yet if applied directly to a {class}`~geoutils.Raster`, but **this should come 
+Unfortunately, masked-array functions `np.ma.func` cannot be recognized yet if applied directly to a {class}`~geoutils.Raster`, but **this should come
 soon** as related interfacing is in the works in NumPy!
 ```
-
diff --git a/doc/source/proj_tools.md b/doc/source/proj_tools.md
index 0319ff97f..aa7e4314e 100644
--- a/doc/source/proj_tools.md
+++ b/doc/source/proj_tools.md
@@ -7,7 +7,7 @@ kernelspec:
 
 # Projection tools
 
-This section describes projection tools that are common to {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>`, and facilitate 
+This section describes projection tools that are common to {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>`, and facilitate
 geospatial analysis.
 
 ## Get projected bounds
@@ -36,7 +36,7 @@ get_footprint_projected` described below.
 A projected footprint can be derived from both {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>` through the
 {func}`~geoutils.Raster.get_footprint_projected` function.
 
-For this, the original rectangular footprint polygon lines are densified to respect the deformation during reprojection. 
+For this, the original rectangular footprint polygon lines are densified to respect the deformation during reprojection.
 
 ```{code-cell} ipython3
 # Get raster footprint in geographic CRS
@@ -56,5 +56,3 @@ any(vect.intersects(rast_footprint))
 ```
 
 ## Estimate a local metric projection
-
-
diff --git a/geoutils/projtools.py b/geoutils/projtools.py
index cf741c02f..77febf7a6 100644
--- a/geoutils/projtools.py
+++ b/geoutils/projtools.py
@@ -3,9 +3,9 @@
 """
 from __future__ import annotations
 
+import warnings
 from collections import abc
 from math import ceil, floor
-import warnings
 from typing import Literal
 
 import geopandas
@@ -65,6 +65,7 @@ def utm_to_epsg(utm: str) -> int:
 
     return int(epsg)
 
+
 def _get_utm_ups_crs(df: gpd.GeoDataFrame, method: Literal["centroid"] | Literal["geopandas"] = "centroid") -> CRS:
     """
     Get universal metric coordinate reference system for the vector passed (UTM or UPS).
@@ -395,16 +396,16 @@ def _get_footprint_projected(
     bounds: rio.coords.BoundingBox, in_crs: CRS, out_crs: CRS, densify_pts: int = 5000
 ) -> gpd.GeoDataFrame:
     """
-   Get bounding box footprint projected in a specified CRS.
+    Get bounding box footprint projected in a specified CRS.
 
-   The polygon points of the vector are densified during reprojection to warp
-   the rectangular square footprint of the original projection into the new one.
+    The polygon points of the vector are densified during reprojection to warp
+    the rectangular square footprint of the original projection into the new one.
 
-   :param in_crs: Input CRS.
-   :param out_crs: Output CRS.
-   :param densify_pts: Maximum points to be added between image corners to account for non linear edges.
-    Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
-   """
+    :param in_crs: Input CRS.
+    :param out_crs: Output CRS.
+    :param densify_pts: Maximum points to be added between image corners to account for non linear edges.
+     Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
+    """
 
     # Get bounds
     left, bottom, right, top = bounds
@@ -422,4 +423,4 @@ def _get_footprint_projected(
     df = gpd.GeoDataFrame({"geometry": [densified_poly]}, crs=in_crs)
     reproj_df = df.to_crs(crs=out_crs)
 
-    return reproj_df
\ No newline at end of file
+    return reproj_df
diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index 7ca08d61d..b6ab36ea3 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -33,7 +33,11 @@
 
 import geoutils.vector as gv
 from geoutils._typing import AnyNumber, ArrayLike, DTypeLike
-from geoutils.projtools import _get_bounds_projected, _get_footprint_projected, _get_utm_ups_crs
+from geoutils.projtools import (
+    _get_bounds_projected,
+    _get_footprint_projected,
+    _get_utm_ups_crs,
+)
 from geoutils.raster.sampling import subsample_array
 from geoutils.vector import Vector
 
@@ -2253,10 +2257,15 @@ def get_footprint_projected(self, out_crs: CRS, densify_pts: int = 5000) -> Vect
          Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
         """
 
-        return Vector(_get_footprint_projected(bounds=self.bounds, in_crs=self.crs, out_crs=out_crs, densify_pts=densify_pts))
+        return Vector(
+            _get_footprint_projected(bounds=self.bounds, in_crs=self.crs, out_crs=out_crs, densify_pts=densify_pts)
+        )
 
-    def get_metric_crs(self, local_crs_type: Literal["universal"] | Literal["custom"] = "universal",
-                       method: Literal["centroid"] | Literal["geopandas"] = "centroid") -> CRS:
+    def get_metric_crs(
+        self,
+        local_crs_type: Literal["universal"] | Literal["custom"] = "universal",
+        method: Literal["centroid"] | Literal["geopandas"] = "centroid",
+    ) -> CRS:
         """
         Get local metric coordinate reference system for the raster (UTM, UPS, or custom Mercator or Polar).
 
diff --git a/geoutils/vector.py b/geoutils/vector.py
index b4ebf5a4f..ffa61c874 100644
--- a/geoutils/vector.py
+++ b/geoutils/vector.py
@@ -39,7 +39,12 @@
 
 import geoutils as gu
 from geoutils.misc import copy_doc
-from geoutils.projtools import _get_bounds_projected, _get_footprint_projected, _get_utm_ups_crs, bounds2poly
+from geoutils.projtools import (
+    _get_bounds_projected,
+    _get_footprint_projected,
+    _get_utm_ups_crs,
+    bounds2poly,
+)
 
 # This is a generic Vector-type (if subclasses are made, this will change appropriately)
 VectorType = TypeVar("VectorType", bound="Vector")
@@ -1337,7 +1342,9 @@ def from_bounds_projected(
         if out_crs is None:
             out_crs = raster_or_vector.crs
 
-        df = _get_footprint_projected(raster_or_vector.bounds, in_crs=raster_or_vector.crs, out_crs=out_crs, densify_pts=densify_pts)
+        df = _get_footprint_projected(
+            raster_or_vector.bounds, in_crs=raster_or_vector.crs, out_crs=out_crs, densify_pts=densify_pts
+        )
 
         return cls(df)  # type: ignore
 
@@ -1467,10 +1474,15 @@ def get_footprint_projected(self, out_crs: CRS, densify_pts: int = 5000) -> Vect
          Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
         """
 
-        return Vector(_get_footprint_projected(bounds=self.bounds, in_crs=self.crs, out_crs=out_crs, densify_pts=densify_pts))
+        return Vector(
+            _get_footprint_projected(bounds=self.bounds, in_crs=self.crs, out_crs=out_crs, densify_pts=densify_pts)
+        )
 
-    def get_metric_crs(self, local_crs_type: Literal["universal"] | Literal["custom"] = "universal",
-                       method: Literal["centroid"] | Literal["geopandas"] = "centroid") -> CRS:
+    def get_metric_crs(
+        self,
+        local_crs_type: Literal["universal"] | Literal["custom"] = "universal",
+        method: Literal["centroid"] | Literal["geopandas"] = "centroid",
+    ) -> CRS:
         """
         Get local metric coordinate reference system for the vector (UTM, UPS, or custom Mercator or Polar).
 
@@ -1517,8 +1529,6 @@ def buffer_without_overlap(self, buffer_size: int | float, metric: bool = True,
             >>> plt.show()  # doctest: +SKIP
         """
 
-        from geoutils.projtools import latlon_to_utm, utm_to_epsg
-
         # Project in local UTM if metric is True
         if metric:
             crs_utm_ups = _get_utm_ups_crs(df=self.ds)
diff --git a/tests/test_projtools.py b/tests/test_projtools.py
index 0ed2d16c8..7edc25fc0 100644
--- a/tests/test_projtools.py
+++ b/tests/test_projtools.py
@@ -3,11 +3,11 @@
 """
 import os.path
 
+import geopandas as gpd
 import numpy as np
 import pyproj.exceptions
 import pytest
 import shapely
-import geopandas as gpd
 
 import geoutils as gu
 import geoutils.projtools as pt
@@ -104,7 +104,7 @@ def test_get_metric_crs_utm(self, example: str) -> None:
         # Verify they are the same
         assert crs_gu == crs_geopandas
 
-    def test_get_metric_crs_ups(self):
+    def test_get_metric_crs_ups(self) -> None:
         """Check that the function works for UPS with points at high latitude."""
 
         # Create a vector of a single point in geographic coordinates
@@ -175,13 +175,21 @@ def test_merge_bounds(self) -> None:
         assert out_bounds[2] == max(img1.bounds.right, outlines.ds.total_bounds[2])
         assert out_bounds[3] == max(img1.bounds.top, outlines.ds.total_bounds[3])
 
-
     # Try all vectors and rasters
-    @pytest.mark.parametrize("fn_raster_or_vector",
-                            [landsat_b4_path, landsat_rgb_path, landsat_b4_crop_path, everest_outlines_path, aster_dem_path, aster_outlines_path]) # type: ignore
+    @pytest.mark.parametrize(
+        "fn_raster_or_vector",
+        [
+            landsat_b4_path,
+            landsat_rgb_path,
+            landsat_b4_crop_path,
+            everest_outlines_path,
+            aster_dem_path,
+            aster_outlines_path,
+        ],
+    )  # type: ignore
     # Try with geographic, a UTM zone and a Robinson
-    @pytest.mark.parametrize("out_crs", [pyproj.CRS.from_epsg(4326), pyproj.CRS.from_epsg(32610)]) # type: ignore
-    @pytest.mark.parametrize("densify_pts", [2, 10, 5000])
+    @pytest.mark.parametrize("out_crs", [pyproj.CRS.from_epsg(4326), pyproj.CRS.from_epsg(32610)])  # type: ignore
+    @pytest.mark.parametrize("densify_pts", [2, 10, 5000])  # type: ignore
     def test_get_footprint_projected(self, fn_raster_or_vector: str, out_crs: pyproj.CRS, densify_pts: int) -> None:
         """Test the get footprint projected function."""
 
@@ -200,7 +208,7 @@ def test_get_footprint_projected(self, fn_raster_or_vector: str, out_crs: pyproj
 
         # Check that the original corner points were conserved
         left, bottom, right, top = rast_or_vect.bounds
-        corners = [shapely.Point([x, y]) for (x,y) in [(left, bottom), (left, top), (right, top), (right, bottom)]]
+        corners = [shapely.Point([x, y]) for (x, y) in [(left, bottom), (left, top), (right, top), (right, bottom)]]
         df = gpd.GeoDataFrame({"geometry": corners}, crs=rast_or_vect.crs)
         df_reproj = df.to_crs(crs=out_crs)
 
@@ -209,6 +217,3 @@ def test_get_footprint_projected(self, fn_raster_or_vector: str, out_crs: pyproj
         # Check that densification yields a logical amount of points
         # (4 initial corner points times the densification factor + the last point)
         assert len(footprint.geometry[0].exterior.coords[:]) == densify_pts * 4 + 1
-
-
-

From a9405a5afa5019af9355d194d3eec0fc49701290 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 17:38:11 -0800
Subject: [PATCH 155/184] Streamline README and CONTRIBUTING

---
 CONTRIBUTING.md          | 92 +++++++++-------------------------------
 README.md                | 61 ++++++++++----------------
 doc/source/api.md        |  2 +
 doc/source/proj_tools.md | 32 +++++++-------
 4 files changed, 62 insertions(+), 125 deletions(-)

diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index e8f6be1b4..e4425ff37 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -1,103 +1,53 @@
 # How to contribute
 
 ## Overview: making a contribution
+
 For more details, see the rest of this document.
 
-1. Fork and clone the repository.
-2. Set up the development environment.
+1. Fork _GlacioHack/geoutils_ and clone your fork repository locally.
+2. Set up the development environment (section below).
 3. Create a branch for the new feature or bug fix.
-4. Make your changes, ensuring they are conventions-compliant.
+4. Make your changes, and add or modify related tests in _tests/_.
 5. Commit, making sure to run `pre-commit` separately if not installed as git hook.
-6. Push.
-7. Open a Pull Request to discuss and eventually merge.
-8. You can now delete your feature branch.
-
-
-## Rights
-The license (see LICENSE) applies to all contributions.
-
-
-## Issue Conventions
-When submitting bugs, please fill out the bug report template in full.
-
-Please search existing issues, open and closed, before creating a new one.
-
-
-## Git conventions
-Work on features should be made on a fork of `geoutils` and submitted as a pull request (PR) to master or a relevant branch.
-
-
-## Code conventions
-
-Contributors of `geoutils` should attempt to conform to pep8 coding standards.
-An exception to the standard is having a 120 max character line length (instead of 80).
-
-Suggested linters are:
-1. prospector
-2. mypy (git version)
-3. pydocstyle
-
-Suggested formatters are:
-1. autopep8
-2. isort
-
-## Test conventions
-At least one test per feature (in the associated `tests/test_*.py` file) should be included in the PR, but more than one is suggested.
-We use `pytest`.
-
+6. Push to your fork.
+7. Open a pull request from GitHub to discuss and eventually merge.
 
 ## Development environment
-We target Python 3 or higher for `geoutils`.
-Some features may require later versions of Python (3.6+) to function correctly.
 
+GeoUtils currently supports only Python versions of 3.8 and higher, see `environment.yml` for detailed dependencies.
 
 ### Setup
 
-Clone the git repo and create a conda environment:
+Clone the git repo and create a `mamba` environment (see how to install `mamba` in the [mamba documentation](https://mamba.readthedocs.io/en/latest/)):
 
 ```bash
 git clone https://github.com/GlacioHack/geoutils.git
 cd geoutils
-conda env create -f environment.yml  # add '-n custom_name' if you want.
-conda activate geoutils  # or any other name specified above
-pip install -e .  # Install geoutils in developer mode
+mamba env create -f dev-environment.yml  # Add '-n custom_name' if you want.
+mamba activate geoutils-dev  # Or any other name specified above
 ```
 
-Now install the additional development dependencies:
-```bash
-pip install -r dev-requirements.txt
-```
-
-Finally, we also recommend installing the formatting and linting tools listed above to help with adhering to code conventions:
-```bash
-pip install prospector git+https://github.com/python/mypy.git pydocstyle autopep8 isort
-```
-
-Note that your text editor of choice will also need to be configured with these tools (and max character line length changed to 120).
+### Tests
 
+At least one test per feature (in the associated `tests/test_*.py` file) should be included in the PR, using `pytest` (see existing tests for examples).
 
-### Running the tests
 To run the entire test suite, run `pytest` in the current directory:
 ```bash
 pytest
 ```
 
-It is also recommended to try the tests from the parent directory, to validate that import statements work as they should:
-```bash
-cd ../  # Change to the parent directory
-pytest geoutils
-```
-
 ### Formatting and linting
-To merge a PR in geoutils, the code has to adhere to the standards set in place.
-We use a number of tools to validate contributions, triggered using `pre-commit` (see `.pre-commit-config.yaml` for the exact tools).
 
-`pre-commit` is made to be installed as a "pre-commit hook" for git, so the checks have to pass before committing. Before committing for the first time, you need to install the hook:
-```bash
-pre-commit install
-```
+Install and run `pre-commit` (see [pre-commit documentation](https://pre-commit.com/)), which will use `.pre-commit-config.yaml` to verify spelling errors, 
+import sorting, type checking, formatting and linting.
 
-Pre-commit can also be run as a separate tool:
+You can then run pre-commit manually:
 ```bash
 pre-commit run --all-files
 ```
+
+Optionally, `pre-commit` can be installed as a git hook to ensure checks have to pass before committing.
+
+## Rights
+
+The license (see LICENSE) applies to all contributions.
diff --git a/README.md b/README.md
index 1dc549829..18c8c1fb4 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,6 @@
-# geoutils
-Set of tools to handle raster and vector data sets in Python.
+# GeoUtils
+
+Handling and analysis of georeferenced rasters and vectors in Python.
 
 ![](https://readthedocs.org/projects/geoutils/badge/?version=latest)
 [![build](https://github.com/GlacioHack/geoutils/actions/workflows/python-app.yml/badge.svg)](https://github.com/GlacioHack/GeoUtils/actions/workflows/python-app.yml)
@@ -9,51 +10,33 @@ Set of tools to handle raster and vector data sets in Python.
 [![PyPI version](https://badge.fury.io/py/geoutils.svg)](https://badge.fury.io/py/geoutils)
 [![Coverage Status](https://coveralls.io/repos/github/GlacioHack/geoutils/badge.svg?branch=main)](https://coveralls.io/github/GlacioHack/geoutils?branch=main)
 
-This package offers Python classes and functions as well as command line tools to work with both geospatial raster and vector datasets. It is built upon rasterio and GeoPandas. In a single command it can import any geo-referenced dataset that is understood by these libraries, complete with all geo-referencing information, various helper functions and interface between vector/raster data.
+[![Pre-Commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
+[![Formatted with black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
+[![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)
+[![isort Status]](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
 
+GeoUtils is community effort to develop a core Python package for geospatial analysis and to foster inter-operability between Python GIS packages. 
+It aims at facilitating end-user geospatial tasks by revolving around consistent `Raster` and `Vector` objects that interface easily, have implicit 
+loading behaviour, robust numerical interfacing and convenient single-line methods for all the most common higher-level methods used in the geospatial 
+community. 
 
-## Installation
+GeoUtils relies on [Rasterio](https://github.com/rasterio/rasterio), [GeoPandas](https://github.com/geopandas/geopandas) and [Pyproj](https://github.com/pyproj4/pyproj) for georeferenced 
+calculations, and on [NumPy](https://github.com/numpy/numpy) and [Xarray](https://github.com/pydata/xarray) for numerical analysis. 
 
-#### With conda (recommended)
-```bash
-conda install --channel conda-forge --strict-channel-priority geoutils
-```
-The `--strict-channel-priority` flag seems essential for Windows installs to function correctly, and is recommended for UNIX-based systems as well.
+## Documentation
 
-#### With pip
+For a quick start, gallery examples, a full feature description or a search through the API, see GeoUtils' documentation at: https://geoutils.readthedocs.io.
 
-From PyPI:
-```bash
-pip install geoutils
-```
+## Installation
 
-Or from the repository tarball: make sure GDAL and PROJ are properly installed, then:
 ```bash
-pip install https://github.com/GlacioHack/geoutils/tarball/main
+mamba install -c conda-forge geoutils
 ```
 
-## Documentation
-See the full documentation at https://geoutils.readthedocs.io.
-
-
-## Structure
-
-GeoUtils is composed of three libraries:
-- `raster.py` to handle raster data set. In particular, a Raster class to load a raster file along with metadata.
-- `vector.py` to handle vector data set. In particular, a Vector class to load a raster file along with metadata.
-- `projtools.py` with various tools around projections.
-
-
-## How to contribute
-
-You can find ways to improve the libraries in the [issues](https://github.com/GlacioHack/geoutils/issues) section. All contributions are welcome.
-
-1. Fork the repository to your personal GitHub account, clone to your computer.
-2. (Optional but preferred:) Make a feature branch.
-3. Push to your feature branch.
-4. When ready, submit a Pull Request from your feature branch to `GlacioHack/geoutils:master`.
-5. The PR will be reviewed by at least one other person. Usually your PR will be merged via 'squash and merge'.
+## Start contributing
 
-Direct pushing to the GlacioHack repository is not permitted.
+1. Fork the repository, make a feature branches and push changes.
+2. When ready, submit a pull request from the feature branch of your fork to `GlacioHack/geoutils:master`.
+3. The PR will be reviewed by at least one maintainer, discussed, then merged.
 
-A more detailed contribution instruction [can be found here](CONTRIBUTING.md).
+More info on [our contributing page](CONTRIBUTING.md).
diff --git a/doc/source/api.md b/doc/source/api.md
index ebbb84549..4219fcda6 100644
--- a/doc/source/api.md
+++ b/doc/source/api.md
@@ -141,6 +141,7 @@ documentation.
 .. autosummary::
     :toctree: gen_modules/
 
+    Raster.get_metric_crs
     Raster.get_bounds_projected
     Raster.get_footprint_projected
     Raster.intersection
@@ -329,6 +330,7 @@ The equivalent of {attr}`geopandas.GeoDataFrame.bounds` (i.e., a per-feature bou
 .. autosummary::
     :toctree: gen_modules/
 
+    Vector.get_metric_crs
     Vector.from_bounds_projected
     Vector.get_bounds_projected
     Vector.get_footprint_projected
diff --git a/doc/source/proj_tools.md b/doc/source/proj_tools.md
index aa7e4314e..6ddadd69d 100644
--- a/doc/source/proj_tools.md
+++ b/doc/source/proj_tools.md
@@ -10,10 +10,13 @@ kernelspec:
 This section describes projection tools that are common to {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>`, and facilitate
 geospatial analysis.
 
-## Get projected bounds
+## Get a metric coordinate system
 
-Projected bounds can be directly derived from both {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>` through the
-{func}`~geoutils.Raster.get_bounds_projected` function.
+A local metric coordinate system can be estimated for both {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>` through the
+{func}`~geoutils.Raster.get_metric_crs` function.
+
+The metric system returned can be either "universal" (zone of the Universal Transverse Mercator or Universal Polar Stereographic system), or "custom" 
+(Mercator or Polar projection centered on the {class}`Raster<geoutils.Raster>` or {class}`Vector<geoutils.Vector>`).
 
 ```{code-cell} ipython3
 import geoutils as gu
@@ -22,13 +25,22 @@ import geoutils as gu
 rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
 print(rast.info())
 
+# Estimate a universal metric CRS for the raster
+rast.get_metric_crs()
+```
+
+## Get projected bounds
+
+Projected bounds can be directly derived from both {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>` through the
+{func}`~geoutils.Raster.get_bounds_projected` function.
+
+```{code-cell} ipython3
 # Get raster bounds in geographic CRS by passing its EPSG code
 rast.get_bounds_projected(4326)
 ```
 
 ```{important}
-When projecting to a new CRS, the footprint shape of the data is generally deformed. To account for this, use {func}`~geoutils.Raster.
-get_footprint_projected` described below.
+When projecting to a new CRS, the footprint shape of the data is generally deformed. To account for this, use {func}`~geoutils.Raster.get_footprint_projected` described below.
 ```
 
 ## Get projected footprint
@@ -46,13 +58,3 @@ rast_footprint.show()
 ```
 
 This is for instance useful to check for intersection with other data.
-
-```{code-cell} ipython3
-# Open a vector
-vect = gu.Vector(gu.examples.get_path("exploradores_rgi_outlines"))
-
-# Do these raster and vector intersect?
-any(vect.intersects(rast_footprint))
-```
-
-## Estimate a local metric projection

From ce102b6780c288920ffb8a7dbbfb77114032155f Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 17:38:30 -0800
Subject: [PATCH 156/184] Linting

---
 CONTRIBUTING.md          |  2 +-
 README.md                | 12 ++++++------
 doc/source/proj_tools.md |  2 +-
 3 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index e4425ff37..f29242587 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -38,7 +38,7 @@ pytest
 
 ### Formatting and linting
 
-Install and run `pre-commit` (see [pre-commit documentation](https://pre-commit.com/)), which will use `.pre-commit-config.yaml` to verify spelling errors, 
+Install and run `pre-commit` (see [pre-commit documentation](https://pre-commit.com/)), which will use `.pre-commit-config.yaml` to verify spelling errors,
 import sorting, type checking, formatting and linting.
 
 You can then run pre-commit manually:
diff --git a/README.md b/README.md
index 18c8c1fb4..c14f6554f 100644
--- a/README.md
+++ b/README.md
@@ -15,13 +15,13 @@ Handling and analysis of georeferenced rasters and vectors in Python.
 [![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)
 [![isort Status]](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
 
-GeoUtils is community effort to develop a core Python package for geospatial analysis and to foster inter-operability between Python GIS packages. 
-It aims at facilitating end-user geospatial tasks by revolving around consistent `Raster` and `Vector` objects that interface easily, have implicit 
-loading behaviour, robust numerical interfacing and convenient single-line methods for all the most common higher-level methods used in the geospatial 
-community. 
+GeoUtils is community effort to develop a core Python package for geospatial analysis and to foster inter-operability between Python GIS packages.
+It aims at facilitating end-user geospatial tasks by revolving around consistent `Raster` and `Vector` objects that interface easily, have implicit
+loading behaviour, robust numerical interfacing and convenient single-line methods for all the most common higher-level methods used in the geospatial
+community.
 
-GeoUtils relies on [Rasterio](https://github.com/rasterio/rasterio), [GeoPandas](https://github.com/geopandas/geopandas) and [Pyproj](https://github.com/pyproj4/pyproj) for georeferenced 
-calculations, and on [NumPy](https://github.com/numpy/numpy) and [Xarray](https://github.com/pydata/xarray) for numerical analysis. 
+GeoUtils relies on [Rasterio](https://github.com/rasterio/rasterio), [GeoPandas](https://github.com/geopandas/geopandas) and [Pyproj](https://github.com/pyproj4/pyproj) for georeferenced
+calculations, and on [NumPy](https://github.com/numpy/numpy) and [Xarray](https://github.com/pydata/xarray) for numerical analysis.
 
 ## Documentation
 
diff --git a/doc/source/proj_tools.md b/doc/source/proj_tools.md
index 6ddadd69d..0b30cc2e5 100644
--- a/doc/source/proj_tools.md
+++ b/doc/source/proj_tools.md
@@ -15,7 +15,7 @@ geospatial analysis.
 A local metric coordinate system can be estimated for both {class}`Rasters<geoutils.Raster>` and {class}`Vectors<geoutils.Vector>` through the
 {func}`~geoutils.Raster.get_metric_crs` function.
 
-The metric system returned can be either "universal" (zone of the Universal Transverse Mercator or Universal Polar Stereographic system), or "custom" 
+The metric system returned can be either "universal" (zone of the Universal Transverse Mercator or Universal Polar Stereographic system), or "custom"
 (Mercator or Polar projection centered on the {class}`Raster<geoutils.Raster>` or {class}`Vector<geoutils.Vector>`).
 
 ```{code-cell} ipython3

From fa53a1fd4e5cdc71f1733e36e5bee4bbc936e5a9 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 17:59:28 -0800
Subject: [PATCH 157/184] Streamline README further

---
 README.md | 18 ++++++++++++------
 1 file changed, 12 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md
index c14f6554f..e01fb722e 100644
--- a/README.md
+++ b/README.md
@@ -13,15 +13,21 @@ Handling and analysis of georeferenced rasters and vectors in Python.
 [![Pre-Commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
 [![Formatted with black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
 [![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)
-[![isort Status]](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
+[![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
 
-GeoUtils is community effort to develop a core Python package for geospatial analysis and to foster inter-operability between Python GIS packages.
-It aims at facilitating end-user geospatial tasks by revolving around consistent `Raster` and `Vector` objects that interface easily, have implicit
-loading behaviour, robust numerical interfacing and convenient single-line methods for all the most common higher-level methods used in the geospatial
-community.
+GeoUtils is a community effort to develop a core Python package for geospatial analysis and foster inter-operability between Python GIS packages.
+It aims at facilitating end-user geospatial methods by revolving around accessible and consistent `Raster` and `Vector` objects that easily interface between
+themselves. GeoUtils is founded on implicit loading behaviour, robust numerical interfacing and convenient object methods to easily perform the most
+common analyses needed by geospatial users.
+
+If you are looking for an accessible Python package to write the equivalent of your [GDAL](https://gdal.org/) command lines or of your [QGIS](https://www.qgis.org/en/site/) analysis
+pipeline in Python without a steep learning curve on GIS syntax, GeoUtils is perfect for you!
+
+For more advanced users, GeoUtils also aims at being efficient, scalable and robust by supporting lazy loading and parallel computing.
 
 GeoUtils relies on [Rasterio](https://github.com/rasterio/rasterio), [GeoPandas](https://github.com/geopandas/geopandas) and [Pyproj](https://github.com/pyproj4/pyproj) for georeferenced
-calculations, and on [NumPy](https://github.com/numpy/numpy) and [Xarray](https://github.com/pydata/xarray) for numerical analysis.
+calculations, and on [NumPy](https://github.com/numpy/numpy) and [Xarray](https://github.com/pydata/xarray) for numerical analysis. It allows easy access to
+the functionalities of these packages through composition, and good inter-operability with rapid conversions.
 
 ## Documentation
 

From 5f58c35ec75a39d480ce3425ea5fe0bf420f02f0 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 18:04:12 -0800
Subject: [PATCH 158/184] Streamline README further

---
 README.md | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/README.md b/README.md
index e01fb722e..0bfccbb95 100644
--- a/README.md
+++ b/README.md
@@ -15,15 +15,14 @@ Handling and analysis of georeferenced rasters and vectors in Python.
 [![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)
 [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
 
-GeoUtils is a community effort to develop a core Python package for geospatial analysis and foster inter-operability between Python GIS packages.
-It aims at facilitating end-user geospatial methods by revolving around accessible and consistent `Raster` and `Vector` objects that easily interface between
-themselves. GeoUtils is founded on implicit loading behaviour, robust numerical interfacing and convenient object methods to easily perform the most
-common analyses needed by geospatial users.
+GeoUtils is a community effort to develop a core Python package for geospatial analysis and foster inter-operability between other Python GIS packages.
+It aims at **facilitating end-user geospatial analysis by revolving around consistent `Raster` and `Vector` objects** that easily interface between
+themselves. GeoUtils is founded on **implicit loading behaviour**, **robust numerical interfacing** and **convenient object-based methods** to easily perform 
+the most common higher-level tasks needed by geospatial users.
 
-If you are looking for an accessible Python package to write the equivalent of your [GDAL](https://gdal.org/) command lines or of your [QGIS](https://www.qgis.org/en/site/) analysis
-pipeline in Python without a steep learning curve on GIS syntax, GeoUtils is perfect for you!
-
-For more advanced users, GeoUtils also aims at being efficient, scalable and robust by supporting lazy loading and parallel computing.
+If you are looking for an accessible Python package to write the Python equivalent of your [GDAL](https://gdal.org/) command lines, or of your [QGIS]
+(https://www.qgis.org/en/site/) analysis pipeline **without a steep learning curve on GIS syntax**, GeoUtils is perfect for you! For more advanced users, 
+GeoUtils also aims at being efficient and scalable by supporting lazy loading and parallel computing.
 
 GeoUtils relies on [Rasterio](https://github.com/rasterio/rasterio), [GeoPandas](https://github.com/geopandas/geopandas) and [Pyproj](https://github.com/pyproj4/pyproj) for georeferenced
 calculations, and on [NumPy](https://github.com/numpy/numpy) and [Xarray](https://github.com/pydata/xarray) for numerical analysis. It allows easy access to
@@ -31,7 +30,8 @@ the functionalities of these packages through composition, and good inter-operab
 
 ## Documentation
 
-For a quick start, gallery examples, a full feature description or a search through the API, see GeoUtils' documentation at: https://geoutils.readthedocs.io.
+For installation, quick start, gallery examples, a full feature description or a search through the API, see GeoUtils' documentation at: https://geoutils.
+readthedocs.io.
 
 ## Installation
 

From 61f27e7a521c9ed4f9c41b125cfd0cc42125e20d Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 18:05:30 -0800
Subject: [PATCH 159/184] Streamline agaaain

---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 0bfccbb95..986461f85 100644
--- a/README.md
+++ b/README.md
@@ -20,9 +20,9 @@ It aims at **facilitating end-user geospatial analysis by revolving around consi
 themselves. GeoUtils is founded on **implicit loading behaviour**, **robust numerical interfacing** and **convenient object-based methods** to easily perform 
 the most common higher-level tasks needed by geospatial users.
 
-If you are looking for an accessible Python package to write the Python equivalent of your [GDAL](https://gdal.org/) command lines, or of your [QGIS]
-(https://www.qgis.org/en/site/) analysis pipeline **without a steep learning curve on GIS syntax**, GeoUtils is perfect for you! For more advanced users, 
-GeoUtils also aims at being efficient and scalable by supporting lazy loading and parallel computing.
+If you are looking for an accessible Python package to write the Python equivalent of your [GDAL](https://gdal.org/) command lines, or of your 
+[QGIS](https://www.qgis.org/en/site/) analysis pipeline **without a steep learning curve** on GIS syntax, GeoUtils is perfect for you! For more advanced 
+users, GeoUtils also aims at being efficient and scalable by supporting lazy loading and parallel computing.
 
 GeoUtils relies on [Rasterio](https://github.com/rasterio/rasterio), [GeoPandas](https://github.com/geopandas/geopandas) and [Pyproj](https://github.com/pyproj4/pyproj) for georeferenced
 calculations, and on [NumPy](https://github.com/numpy/numpy) and [Xarray](https://github.com/pydata/xarray) for numerical analysis. It allows easy access to

From f08df58223cb1c09f6206236e52664cd3ea9cacd Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 18:09:19 -0800
Subject: [PATCH 160/184] Finish README

---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index 986461f85..ab5bddc23 100644
--- a/README.md
+++ b/README.md
@@ -21,12 +21,12 @@ themselves. GeoUtils is founded on **implicit loading behaviour**, **robust nume
 the most common higher-level tasks needed by geospatial users.
 
 If you are looking for an accessible Python package to write the Python equivalent of your [GDAL](https://gdal.org/) command lines, or of your 
-[QGIS](https://www.qgis.org/en/site/) analysis pipeline **without a steep learning curve** on GIS syntax, GeoUtils is perfect for you! For more advanced 
-users, GeoUtils also aims at being efficient and scalable by supporting lazy loading and parallel computing.
+[QGIS](https://www.qgis.org/en/site/) analysis pipeline **without a steep learning curve** on Python GIS syntax, GeoUtils is perfect for you! For more advanced 
+users, GeoUtils also aims at being efficient and scalable by supporting lazy loading and parallel computing (ongoing).
 
 GeoUtils relies on [Rasterio](https://github.com/rasterio/rasterio), [GeoPandas](https://github.com/geopandas/geopandas) and [Pyproj](https://github.com/pyproj4/pyproj) for georeferenced
 calculations, and on [NumPy](https://github.com/numpy/numpy) and [Xarray](https://github.com/pydata/xarray) for numerical analysis. It allows easy access to
-the functionalities of these packages through composition, and good inter-operability with rapid conversions.
+the functionalities of these packages through interfacing or composition, and quick inter-operability through object conversion.
 
 ## Documentation
 

From ade54cfb590b243f94b1a1be2a8e3074da783e0c Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 18:12:43 -0800
Subject: [PATCH 161/184] Again

---
 README.md | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index ab5bddc23..9d250c2d0 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,4 @@
-# GeoUtils
-
-Handling and analysis of georeferenced rasters and vectors in Python.
+# GeoUtils: handling and analysis of georeferenced rasters and vectors in Python.
 
 ![](https://readthedocs.org/projects/geoutils/badge/?version=latest)
 [![build](https://github.com/GlacioHack/geoutils/actions/workflows/python-app.yml/badge.svg)](https://github.com/GlacioHack/GeoUtils/actions/workflows/python-app.yml)
@@ -15,13 +13,14 @@ Handling and analysis of georeferenced rasters and vectors in Python.
 [![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)
 [![Imports: isort](https://img.shields.io/badge/%20imports-isort-%231674b1?style=flat&labelColor=ef8336)](https://pycqa.github.io/isort/)
 
-GeoUtils is a community effort to develop a core Python package for geospatial analysis and foster inter-operability between other Python GIS packages.
+**GeoUtils** is an open source project to develop a core Python package for geospatial analysis and foster inter-operability between other Python GIS packages.
+
 It aims at **facilitating end-user geospatial analysis by revolving around consistent `Raster` and `Vector` objects** that easily interface between
 themselves. GeoUtils is founded on **implicit loading behaviour**, **robust numerical interfacing** and **convenient object-based methods** to easily perform 
 the most common higher-level tasks needed by geospatial users.
 
 If you are looking for an accessible Python package to write the Python equivalent of your [GDAL](https://gdal.org/) command lines, or of your 
-[QGIS](https://www.qgis.org/en/site/) analysis pipeline **without a steep learning curve** on Python GIS syntax, GeoUtils is perfect for you! For more advanced 
+[QGIS](https://www.qgis.org/en/site/) analysis pipeline **without a steep learning curve** on Python GIS syntax, GeoUtils is perfect for you! For more advanced
 users, GeoUtils also aims at being efficient and scalable by supporting lazy loading and parallel computing (ongoing).
 
 GeoUtils relies on [Rasterio](https://github.com/rasterio/rasterio), [GeoPandas](https://github.com/geopandas/geopandas) and [Pyproj](https://github.com/pyproj4/pyproj) for georeferenced

From 6211fc9489f02e94935cbb29a61dbf2045c2c997 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 18:14:46 -0800
Subject: [PATCH 162/184] Try this

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 9d250c2d0..89a6dc16b 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# GeoUtils: handling and analysis of georeferenced rasters and vectors in Python.
+# GeoUtils: consistent geospatial analysis in Python.
 
 ![](https://readthedocs.org/projects/geoutils/badge/?version=latest)
 [![build](https://github.com/GlacioHack/geoutils/actions/workflows/python-app.yml/badge.svg)](https://github.com/GlacioHack/GeoUtils/actions/workflows/python-app.yml)

From dfd3c8d0d601b51839381c2579b94212661b1e79 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 18:20:29 -0800
Subject: [PATCH 163/184] Make a bit better again

---
 README.md | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 89a6dc16b..e63ffac7d 100644
--- a/README.md
+++ b/README.md
@@ -29,8 +29,8 @@ the functionalities of these packages through interfacing or composition, and qu
 
 ## Documentation
 
-For installation, quick start, gallery examples, a full feature description or a search through the API, see GeoUtils' documentation at: https://geoutils.
-readthedocs.io.
+For installation, quick start, gallery examples, a full feature description or a search through the API, see GeoUtils' documentation at: 
+https://geoutils.readthedocs.io.
 
 ## Installation
 
@@ -38,6 +38,8 @@ readthedocs.io.
 mamba install -c conda-forge geoutils
 ```
 
+See [mamba's documentation](https://mamba.readthedocs.io/en/latest/) to install `mamba`, which will solve your environment much faster than `conda`.
+
 ## Start contributing
 
 1. Fork the repository, make a feature branches and push changes.

From e6058b406b89d53ebbdcc5d2f4fa4d8ba9ac00f0 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 18:21:46 -0800
Subject: [PATCH 164/184] And a bit more again

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index e63ffac7d..c5c8232ae 100644
--- a/README.md
+++ b/README.md
@@ -15,7 +15,7 @@
 
 **GeoUtils** is an open source project to develop a core Python package for geospatial analysis and foster inter-operability between other Python GIS packages.
 
-It aims at **facilitating end-user geospatial analysis by revolving around consistent `Raster` and `Vector` objects** that easily interface between
+It aims at **facilitating end-user geospatial analysis by revolving around consistent `Raster` and `Vector` objects** that effortlessly interface between
 themselves. GeoUtils is founded on **implicit loading behaviour**, **robust numerical interfacing** and **convenient object-based methods** to easily perform 
 the most common higher-level tasks needed by geospatial users.
 

From 1416b5ae75d159646a0f39330d95ceebc97e53de Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 31 Mar 2023 18:40:47 -0800
Subject: [PATCH 165/184] Linting

---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index c5c8232ae..ada8e5fff 100644
--- a/README.md
+++ b/README.md
@@ -16,10 +16,10 @@
 **GeoUtils** is an open source project to develop a core Python package for geospatial analysis and foster inter-operability between other Python GIS packages.
 
 It aims at **facilitating end-user geospatial analysis by revolving around consistent `Raster` and `Vector` objects** that effortlessly interface between
-themselves. GeoUtils is founded on **implicit loading behaviour**, **robust numerical interfacing** and **convenient object-based methods** to easily perform 
+themselves. GeoUtils is founded on **implicit loading behaviour**, **robust numerical interfacing** and **convenient object-based methods** to easily perform
 the most common higher-level tasks needed by geospatial users.
 
-If you are looking for an accessible Python package to write the Python equivalent of your [GDAL](https://gdal.org/) command lines, or of your 
+If you are looking for an accessible Python package to write the Python equivalent of your [GDAL](https://gdal.org/) command lines, or of your
 [QGIS](https://www.qgis.org/en/site/) analysis pipeline **without a steep learning curve** on Python GIS syntax, GeoUtils is perfect for you! For more advanced
 users, GeoUtils also aims at being efficient and scalable by supporting lazy loading and parallel computing (ongoing).
 
@@ -29,7 +29,7 @@ the functionalities of these packages through interfacing or composition, and qu
 
 ## Documentation
 
-For installation, quick start, gallery examples, a full feature description or a search through the API, see GeoUtils' documentation at: 
+For installation, quick start, gallery examples, a full feature description or a search through the API, see GeoUtils' documentation at:
 https://geoutils.readthedocs.io.
 
 ## Installation

From 67bed6a1abcbbd15d983e2c5130f4cb914f80285 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 6 Apr 2023 11:02:53 -0800
Subject: [PATCH 166/184] Cast .data of single-band rasters to 2D, fix methods
 and tests

---
 geoutils/raster/multiraster.py |   5 +-
 geoutils/raster/raster.py      | 283 +++++++++++++++++++--------------
 tests/test_raster.py           | 147 ++++++++---------
 3 files changed, 244 insertions(+), 191 deletions(-)

diff --git a/geoutils/raster/multiraster.py b/geoutils/raster/multiraster.py
index 385315a6c..b867df372 100644
--- a/geoutils/raster/multiraster.py
+++ b/geoutils/raster/multiraster.py
@@ -193,7 +193,10 @@ def stack_rasters(
         else:
             # img_data, _ = get_array_and_mask(reprojected_raster.data.squeeze())
             # Use only first band
-            data.append(reprojected_raster.data[0, :])
+            if reprojected_raster.count == 1:
+                data.append(reprojected_raster.data[:])
+            else:
+                data.append(reprojected_raster.data[0, :])
 
         # Remove unloaded rasters
         if not raster.is_loaded:
diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index b6ab36ea3..a723e36bb 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -222,8 +222,6 @@ def _load_rio(
         data = dataset.read(masked=masked, window=window, **kwargs)
     else:
         data = dataset.read(indexes=indexes, masked=masked, window=window, **kwargs)
-    if len(data.shape) == 2:
-        data = data[np.newaxis, :, :]
     return data
 
 
@@ -363,6 +361,10 @@ def __init__(
                 res = tuple(np.asarray(self.res) * downsample)
                 self.transform = rio.transform.from_origin(self.bounds.left, self.bounds.top, res[0], res[1])
 
+            # Rebuild out_shape for squeezing 2D arrays
+            if count == 1:
+                out_shape = out_shape[1:]
+
             # This will record the downsampled out_shape is data is only loaded later on by .load()
             self._out_shape = out_shape
 
@@ -400,7 +402,10 @@ def count_on_disk(self) -> None | int:
     def count(self) -> int:
         """Count of bands loaded in memory if they are, otherwise the one on disk."""
         if self.is_loaded:
-            return int(self.data.shape[0])
+            if len(self.data.shape) == 2:
+                return 1
+            else:
+                return int(self.data.shape[0])
         #  This can only happen if data is not loaded, with a DatasetReader on disk is open, never returns None
         return self.count_on_disk  # type: ignore
 
@@ -409,25 +414,38 @@ def height(self) -> int:
         """Height of the raster in pixels."""
         if not self.is_loaded:
             return self._disk_shape[1]  # type: ignore
-        return int(self.data.shape[1])
+        else:
+            # If the raster is single-band
+            if len(self.data.shape) == 2:
+                return int(self.data.shape[0])
+            # Or multi-band
+            else:
+                return int(self.data.shape[1])
 
     @property
     def width(self) -> int:
         """Width of the raster in pixels."""
         if not self.is_loaded:
             return self._disk_shape[2]  # type: ignore
-        return int(self.data.shape[2])
+        else:
+            # If the raster is single-band
+            if len(self.data.shape) == 2:
+                return int(self.data.shape[1])
+            # Or multi-band
+            else:
+                return int(self.data.shape[2])
 
     @property
     def shape(self) -> tuple[int, int]:
         """Shape (i.e., height, width) of the raster in pixels."""
         # If a downsampling argument was defined but data not loaded yet
         if self._out_shape is not None and not self.is_loaded:
-            return self._out_shape[1], self._out_shape[2]
-        # If data is not loaded, pass the disk shape
-        if not self.is_loaded:
-            return self._disk_shape[1], self._disk_shape[2]  # type: ignore
-        return int(self.data.shape[1]), int(self.data.shape[2])
+            if len(self._out_shape) == 2:
+                return self._out_shape
+            else:
+                return self._out_shape[1:]
+        # If data loaded or not, pass the disk/data shape through height and width
+        return self.height, self.width
 
     @property
     def res(self) -> tuple[float | int, float | int]:
@@ -513,7 +531,12 @@ def load(self, indexes: int | list[int] | None = None, **kwargs: Any) -> None:
                 valid_indexes = tuple(indexes)
             # Update out_shape
             if self._out_shape is not None:
-                self._out_shape = (len(valid_indexes), self._out_shape[1], self._out_shape[2])
+                # The shape attribute will automatically pass out_shape width and height,
+                # just need to add the first axis
+                if len(valid_indexes) > 1:
+                    self._out_shape = (len(valid_indexes), *self.shape)
+                else:
+                    self._out_shape = self.shape
 
         # Save which indexes are loaded
         self._indexes_loaded = valid_indexes
@@ -605,7 +628,10 @@ def to_rio_dataset(self) -> rio.io.DatasetReader:
             nodata=self.nodata,
             driver="GTiff",
         ) as ds:
-            ds.write(self.data)
+            if self.count == 1:
+                ds.write(self.data[np.newaxis, :, :])
+            else:
+                ds.write(self.data)
 
         # Then open as a DatasetReader
         return mfh.open()
@@ -690,7 +716,10 @@ def __getitem__(self, index: Raster | Vector | np.ndarray | list[float] | tuple[
         if isinstance(index, Mask):
             if not self.georeferenced_grid_equal(index):
                 raise ValueError("Indexing a raster with a mask requires the two being on the same georeferenced grid.")
-            return self.data[:, index.data.squeeze()]
+            if self.count == 1:
+                return self.data[index.data.squeeze()]
+            else:
+                return self.data[:, index.data.squeeze()]
         # If input is array with the same shape
         elif isinstance(index, np.ndarray):
             if np.shape(index) != self.shape:
@@ -698,7 +727,10 @@ def __getitem__(self, index: Raster | Vector | np.ndarray | list[float] | tuple[
             if str(index.dtype) != "bool":
                 index = index.astype(bool)
                 warnings.warn(message="Input array was cast to boolean for indexing.", category=UserWarning)
-            return self.data[:, index]
+            if self.count == 1:
+                return self.data[index]
+            else:
+                return self.data[:, index]
 
         # Otherwise, subset with crop
         else:
@@ -719,7 +751,7 @@ def __setitem__(self, index: Mask | np.ndarray, assign: np.ndarray | Number) ->
             if not self.georeferenced_grid_equal(index):
                 raise ValueError("Indexing a raster with a mask requires the two being on the same georeferenced grid.")
 
-            ind = index.data.squeeze()
+            ind = index.data
         # If input is array with the same shape
         elif isinstance(index, np.ndarray):
             if np.shape(index) != self.shape:
@@ -741,8 +773,10 @@ def __setitem__(self, index: Mask | np.ndarray, assign: np.ndarray | Number) ->
         if not self.is_loaded:
             self.load()
         # Assign the values to the index
-        self._data[:, ind] = assign  # type: ignore
-
+        if self.count == 1:
+            self._data[ind] = assign  # type: ignore
+        else:
+            self._data[:, ind] = assign  # type: ignore
         return None
 
     def raster_equal(self, other: object) -> bool:
@@ -823,18 +857,19 @@ def _overloading_check(
         elif isinstance(other, np.ndarray):
             # Check that both array have the same shape
 
-            if len(other.shape) == 2:
-                other_data = other[np.newaxis, :, :]
-            else:
-                other_data = other
+            other_data = other
+
+            # Squeeze first axis of other data if possible
+            if len(other_data.shape) == 3 and other_data.shape[0] == 1:
+                other_data = other_data.squeeze(axis=0)
 
             if self.data.shape == other_data.shape:
                 pass
             else:
-                raise ValueError("Both rasters must have the same shape.")
+                raise ValueError("The raster and array must have the same shape.")
 
             nodata2 = None
-            dtype2 = other_data.dtype
+            dtype2 = other.dtype
 
         # Case 3 - other is a single number
         else:
@@ -1180,11 +1215,11 @@ def nodata(self, new_nodata: int | float | tuple[int, ...] | tuple[float, ...] |
         :param new_nodata: New nodata to assign to this instance of Raster.
         """
 
-        self.set_nodata(nodata=new_nodata)
+        self.set_nodata(new_nodata=new_nodata)
 
     def set_nodata(
         self,
-        nodata: int | float | tuple[int, ...] | tuple[float, ...] | None,
+        new_nodata: int | float | None,
         update_array: bool = True,
         update_mask: bool = True,
     ) -> None:
@@ -1207,93 +1242,76 @@ def set_nodata(
         If you wish to set nodata value without updating the mask, run this function with the update_mask argument as
         False.
 
-        If None is passed as nodata, only the metadata is updated and the mask of oldnodata unset.
+        If None is passed as nodata, only the metadata is updated and the mask of old nodata unset.
 
-        :param nodata: Nodata values.
+        :param new_nodata: New nodata value.
         :param update_array: Update the old nodata values into new nodata values in the data array.
         :param update_mask: Update the old mask by unmasking old nodata and masking new nodata (if array is updated,
             old nodata are changed to new nodata and thus stay masked).
         """
-        if nodata is not None and not isinstance(nodata, (tuple, int, float, np.integer, np.floating)):
-            raise ValueError("Type of nodata not understood, must be tuple or float or int")
-
-        elif (isinstance(nodata, (int, float, np.integer, np.floating))) and self.count > 1:
-            nodata = (nodata,) * self.count
+        if new_nodata is not None and not isinstance(new_nodata, (int, float, np.integer, np.floating)):
+            raise ValueError("Type of nodata not understood, must be float or int.")
 
-        elif isinstance(nodata, tuple) and self.count == 1:
-            nodata = nodata[0]
-
-        elif nodata is None:
-            nodata = None
-
-        # Check that nodata has same length as number of bands in self
-        if isinstance(nodata, tuple):
-            if len(nodata) != self.count:
-                raise ValueError(f"Length of nodata ({len(nodata)}) incompatible with number of bands ({self.count})")
-            # Check that nodata value is compatible with dtype
-            for k in range(len(nodata)):
-                if not rio.dtypes.can_cast_dtype(nodata[k], self.dtypes[k]):
-                    raise ValueError(f"nodata value {nodata[k]} incompatible with self.dtype {self.dtypes[k]}")
-        elif isinstance(nodata, (int, float, np.integer, np.floating)):
-            if not rio.dtypes.can_cast_dtype(nodata, self.dtypes[0]):
-                raise ValueError(f"nodata value {nodata} incompatible with self.dtype {self.dtypes[0]}")
+        if new_nodata is not None:
+            if not rio.dtypes.can_cast_dtype(new_nodata, self.dtypes[0]):
+                raise ValueError(f"nodata value {new_nodata} incompatible with self.dtype {self.dtypes[0]}")
 
         # If we update mask or array, get the masked array
         if update_array or update_mask:
+
             # Extract the data variable, so the self.data property doesn't have to be called a bunch of times
             imgdata = self.data
 
-            # Loop through the bands
-            for i, new_nodata in enumerate(nodata if isinstance(nodata, Iterable) else [nodata]):
-                # Get the index of old nodatas
-                index_old_nodatas = imgdata.data[i, :, :] == self.nodata
-
-                # Get the index of new nodatas, if it is defined
-                index_new_nodatas = imgdata.data[i, :, :] == new_nodata
-
-                if np.count_nonzero(index_new_nodatas) > 0:
-                    if update_array and update_mask:
-                        warnings.warn(
-                            message="New nodata value found in the data array. Those will be masked, and the old "
-                            "nodata cells will now take the same value. Use set_nodata() with update_array=False "
-                            "and/or update_mask=False to change this behaviour.",
-                            category=UserWarning,
-                        )
-                    elif update_array:
-                        warnings.warn(
-                            "New nodata value found in the data array. The old nodata cells will now take the same "
-                            "value. Use set_nodata() with update_array=False to change this behaviour.",
-                            category=UserWarning,
-                        )
-                    elif update_mask:
-                        warnings.warn(
-                            "New nodata value found in the data array. Those will be masked. Use set_nodata() "
-                            "with update_mask=False to change this behaviour.",
-                            category=UserWarning,
-                        )
-
-                if update_array:
-                    # Only update array with new nodata if it is defined
-                    if nodata is not None:
-                        # Replace the nodata value in the Raster
-                        imgdata.data[i, index_old_nodatas] = new_nodata
-
-                if update_mask:
-                    # If a mask already exists, unmask the old nodata values before masking the new ones
-                    # Can be skipped if array is updated (nodata is transferred from old to new, this part of the mask
-                    # stays the same)
-                    if np.ma.is_masked(imgdata) and (not update_array or nodata is None):
-                        # No way to unmask a value from the masked array, so we modify the mask directly
-                        imgdata.mask[i, index_old_nodatas] = False
-
-                    # Masking like this works from the masked array directly, whether a mask exists or not
-                    imgdata[i, index_new_nodatas] = np.ma.masked
+            # Get the index of old nodatas
+            index_old_nodatas = imgdata.data == self.nodata
+
+            # Get the index of new nodatas, if it is defined
+            index_new_nodatas = imgdata.data == new_nodata
+
+            if np.count_nonzero(index_new_nodatas) > 0:
+                if update_array and update_mask:
+                    warnings.warn(
+                        message="New nodata value found in the data array. Those will be masked, and the old "
+                        "nodata cells will now take the same value. Use set_nodata() with update_array=False "
+                        "and/or update_mask=False to change this behaviour.",
+                        category=UserWarning,
+                    )
+                elif update_array:
+                    warnings.warn(
+                        "New nodata value found in the data array. The old nodata cells will now take the same "
+                        "value. Use set_nodata() with update_array=False to change this behaviour.",
+                        category=UserWarning,
+                    )
+                elif update_mask:
+                    warnings.warn(
+                        "New nodata value found in the data array. Those will be masked. Use set_nodata() "
+                        "with update_mask=False to change this behaviour.",
+                        category=UserWarning,
+                    )
+
+            if update_array:
+                # Only update array with new nodata if it is defined
+                if new_nodata is not None:
+                    # Replace the nodata value in the Raster
+                    imgdata.data[index_old_nodatas] = new_nodata
+
+            if update_mask:
+                # If a mask already exists, unmask the old nodata values before masking the new ones
+                # Can be skipped if array is updated (nodata is transferred from old to new, this part of the mask
+                # stays the same)
+                if np.ma.is_masked(imgdata) and (not update_array or new_nodata is None):
+                    # No way to unmask a value from the masked array, so we modify the mask directly
+                    imgdata.mask[index_old_nodatas] = False
+
+                # Masking like this works from the masked array directly, whether a mask exists or not
+                imgdata[index_new_nodatas] = np.ma.masked
+
 
             # Update the data
             self._data = imgdata
 
         # Update the nodata value
-        self._nodata = nodata
+        self._nodata = new_nodata
 
     @property
     def data(self) -> np.ma.masked_array:
@@ -1315,7 +1333,7 @@ def data(self, new_data: np.ndarray | np.ma.masked_array) -> None:
         The data setter behaviour is the following:
 
         1. Writes the data in a masked array, whether the input is a classic array or a masked_array,
-        2. Reshapes the data in a 3D array if it is 2D that can be broadcasted, raises an error otherwise,
+        2. Reshapes the data to a 2D array if it is single band,
         3. Raises an error if the dtype is different from that of the Raster, and points towards .copy() or .astype(),
         4. Sets a new nodata value to the Raster if none is set and if the provided array contains non-finite values
             that are unmasked (including if there is no mask at all, e.g. NaNs in a classic array),
@@ -1325,23 +1343,27 @@ def data(self, new_data: np.ndarray | np.ma.masked_array) -> None:
         :param new_data: New data to assign to this instance of Raster.
 
         """
-        # Check that new_data is a Numpy array
+        # Check that new_data is a NumPy array
         if not isinstance(new_data, np.ndarray):
             raise ValueError("New data must be a numpy array.")
 
-        if len(new_data.shape) == 2:
-            new_data = new_data[np.newaxis, :, :]
+        if len(new_data.shape) not in [2, 3]:
+            raise ValueError("Data array must have 2 or 3 dimensions.")
+
+        # Squeeze 3D data if the band axis is of length 1
+        if len(new_data.shape) == 3 and new_data.shape[0] == 1:
+            new_data = new_data.squeeze(axis=0)
 
         # Check that new_data has correct shape
-        if self._data is not None:
+        if self.is_loaded:
             dtype = str(self._data.dtype)
-            orig_shape = self._data.shape[1:]
+            orig_shape = self._data.shape
         elif self.filename is not None:
-            dtype = self.dtypes[0]
-            orig_shape = self.shape
+            dtype = self._disk_dtypes[0]
+            orig_shape = self._out_shape
         else:
             dtype = str(new_data.dtype)
-            orig_shape = new_data.shape[1:]
+            orig_shape = new_data.shape
 
         # Check that new_data has the right type
         if str(new_data.dtype) != dtype:
@@ -1350,9 +1372,9 @@ def data(self, new_data: np.ndarray | np.ma.masked_array) -> None:
                 "different dtype, or astype() to change type.".format(dtype)
             )
 
-        if new_data.shape[1:] != orig_shape:
+        if new_data.shape != orig_shape:
             raise ValueError(
-                f"New data must be of the same shape as existing data: {orig_shape}. Given: {new_data.shape[1:]}."
+                f"New data must be of the same shape as existing data: {orig_shape}. Given: {new_data.shape}."
             )
 
         # If the new data is not masked and has non-finite values, we define a default nodata value
@@ -1696,7 +1718,11 @@ def __array_function__(
             first_arg = args[0].data.compressed()
 
         elif func.__name__ in ["gradient"]:
-            first_arg = args[0].data[0, :, :]
+            if self.count == 1:
+                first_arg = args[0].data
+            else:
+                warnings.warn("Applying np.gradient to first raster band only.")
+                first_arg = args[0].data[0, :, :]
 
         # Otherwise, we run the numpy function normally (most take masks into account)
         else:
@@ -1805,7 +1831,10 @@ def crop(
 
             if self.is_loaded:
                 (rowmin, rowmax), (colmin, colmax) = final_window.toranges()
-                crop_img = self.data[:, rowmin:rowmax, colmin:colmax]
+                if self.count == 1:
+                    crop_img = self.data[rowmin:rowmax, colmin:colmax]
+                else:
+                    crop_img = self.data[:, rowmin:rowmax, colmin:colmax]
             else:
                 with rio.open(self.filename) as raster:
                     crop_img = raster.read(
@@ -2154,7 +2183,7 @@ def save(
         elif blank_value is not None:
             if isinstance(blank_value, int) | isinstance(blank_value, float):
                 save_data = np.zeros(self.data.shape)
-                save_data[:, :, :] = blank_value
+                save_data[:] = blank_value
             else:
                 raise ValueError("blank_values must be one of int, float (or None).")
         else:
@@ -2168,6 +2197,10 @@ def save(
                     warnings.warn(f"No nodata set, will use default value of {nodata}")
                 save_data = save_data.filled(nodata)
 
+        # Cast to 3D before saving if single band
+        if self.count == 1:
+            save_data = save_data[np.newaxis, :, :]
+
         with rio.open(
             filename,
             "w",
@@ -2378,6 +2411,12 @@ def show(
         else:
             raise ValueError("Index must be int or None")
 
+        # Get data
+        if self.count == 1:
+            data = self.data
+        else:
+            data = self.data[index - 1, :, :]
+
         # If multiple bands (RGB), cbar does not make sense
         if isinstance(index, abc.Sequence):
             if len(index) > 1:
@@ -2394,10 +2433,10 @@ def show(
 
         # Set colorbar min/max values (needed for ScalarMappable)
         if vmin is None:
-            vmin = np.nanmin(self.data[index - 1, :, :])
+            vmin = np.nanmin(data)
 
         if vmax is None:
-            vmax = np.nanmax(self.data[index - 1, :, :])
+            vmax = np.nanmax(data)
 
         # Make sure they are numbers, to avoid mpl error
         try:
@@ -2423,7 +2462,7 @@ def show(
 
         # Use data array directly, as rshow on self.ds will re-load data
         rshow(
-            self.data[index - 1, :, :],
+            data,
             transform=self.transform,
             ax=ax0,
             cmap=cmap,
@@ -2579,7 +2618,10 @@ def format_value(value: Any) -> Any:
             rio_window = rio.windows.Window(col, row, width, height)
 
             if self.is_loaded:
-                data = self.data[slice(None) if index is None else index - 1, row : row + height, col : col + width]
+                if self.count == 1:
+                    data = self.data[row : row + height, col : col + width]
+                else:
+                    data = self.data[slice(None) if index is None else index - 1, row : row + height, col : col + width]
                 if not masked:
                     data = data.filled()
                 value = format_value(data)
@@ -2835,7 +2877,11 @@ def interp_points(
 
         ind_invalid = np.vectorize(lambda k1, k2: self.outside_image(k1, k2, index=True))(j, i)
 
-        rpts = map_coordinates(self.data[index - 1, :, :].astype(np.float32), [i, j], **kwargs)
+        if self.count == 1:
+            rpts = map_coordinates(self.data[:, :].astype(np.float32), [i, j], **kwargs)
+        else:
+            rpts = map_coordinates(self.data[index - 1, :, :].astype(np.float32), [i, j], **kwargs)
+
         rpts = np.array(rpts, dtype=np.float32)
         rpts[np.array(ind_invalid)] = np.nan
 
@@ -2877,7 +2923,7 @@ def split_bands(self: RasterType, copy: bool = False, subset: list[int] | int |
                 # Set the data to a slice of the original array
                 bands.append(
                     self.from_array(
-                        self.data[band_n - 1, :, :].reshape((1,) + self.data.shape[1:]),
+                        self.data[band_n - 1, :, :],
                         transform=self.transform,
                         crs=self.crs,
                         nodata=self.nodata,
@@ -2947,7 +2993,10 @@ def to_points(
 
         # If the Raster is loaded, pick from the data, otherwise use the disk-sample method from rasterio.
         if self.is_loaded:
-            pixel_data = self.data[:, rows, cols]
+            if self.count == 1:
+                pixel_data = self.data[rows, cols]
+            else:
+                pixel_data = self.data[:, rows, cols]
         else:
             with rio.open(self.filename) as raster:
                 pixel_data = np.array(list(raster.sample(zip(x_coords, y_coords)))).T
@@ -3135,7 +3184,7 @@ def __init__(
                     category=UserWarning,
                     message="Multi-band raster provided to create a Mask, only the first band will be used.",
                 )
-                self._data = np.reshape(self.data[0, :], (1, self.shape[0], self.shape[1]))
+                self._data = self.data[0, :, :]
 
             # Convert masked array to boolean
             self._data = self.data.astype(bool)
diff --git a/tests/test_raster.py b/tests/test_raster.py
index c4d4229b0..df2589e0b 100644
--- a/tests/test_raster.py
+++ b/tests/test_raster.py
@@ -108,13 +108,13 @@ def test_init(self, example: str) -> None:
         # For re-instantiation via Raster (r2 above), we check the behaviour:
         # By default, raster were unloaded, and were loaded during raster_equal() independently
         # So the instances should not be pointing to the same data and not mirror modifs
-        r0.data[0, 0, 0] += 5
-        assert r2.data[0, 0, 0] != r0.data[0, 0, 0]
+        r0.data[0, 0] += 5
+        assert r2.data[0, 0] != r0.data[0, 0]
 
         # However, if we reinstantiate now that the data is loaded, it should point to the same
         r5 = gu.Raster(r0)
-        r0.data[0, 0, 0] += 5
-        assert r5.data[0, 0, 0] == r0.data[0, 0, 0]
+        r0.data[0, 0] += 5
+        assert r5.data[0, 0] == r0.data[0, 0]
 
         # With r.count = 2
         r0._data = np.repeat(r0.data, 2).reshape((2,) + r0.shape)
@@ -259,7 +259,7 @@ def test_load(self) -> None:
         assert r.count_on_disk == 1
         assert r.indexes == (1,)
         assert r.indexes_on_disk == (1,)
-        assert r.data.shape == (r.count, r.height, r.width)
+        assert r.data.shape == (r.height, r.width)
 
         # Test 3 - single band, loading data
         r = gu.Raster(self.landsat_b4_path, load_data=True)
@@ -268,7 +268,7 @@ def test_load(self) -> None:
         assert r.count_on_disk == 1
         assert r.indexes == (1,)
         assert r.indexes_on_disk == (1,)
-        assert r.data.shape == (r.count, r.height, r.width)
+        assert r.data.shape == (r.height, r.width)
 
         # Test 4 - multiple bands, load all bands
         r = gu.Raster(self.landsat_rgb_path, load_data=True)
@@ -292,7 +292,7 @@ def test_load(self) -> None:
         assert r.count_on_disk == 3
         assert r.indexes == (1,)
         assert r.indexes_on_disk == (1, 2, 3)
-        assert r.data.shape == (r.count, r.height, r.width)
+        assert r.data.shape == (r.height, r.width)
 
         # Test 6 - multiple bands, load a list of bands
         r = gu.Raster(self.landsat_rgb_path, load_data=True, indexes=[2, 3])
@@ -309,7 +309,7 @@ def test_load(self) -> None:
         assert r.count_on_disk == 3
         assert r.indexes == (1,)
         assert r.indexes_on_disk == (1, 2, 3)
-        assert r.data.shape == (r.count, r.height, r.width)
+        assert r.data.shape == (r.height, r.width)
 
         # Test 8 - load a list of band a posteriori calling load()
         r = gu.Raster(self.landsat_rgb_path)
@@ -348,8 +348,8 @@ def test_to_rio_dataset(self, example: str):
             assert rst.__getattribute__(attr) == rio_ds.__getattribute__(attr)
 
         # Check that the masked arrays are equal
-        assert np.array_equal(rst.data.data, rio_ds.read().data)
-        assert np.array_equal(rst.data.mask, rio_ds.read(masked=True).mask)
+        assert np.array_equal(rst.data.data, rio_ds.read().squeeze())
+        assert np.array_equal(rst.data.mask, rio_ds.read(masked=True).mask.squeeze())
 
     @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path, landsat_rgb_path])  # type: ignore
     def test_to_xarray(self, example: str):
@@ -363,7 +363,8 @@ def test_to_xarray(self, example: str):
         assert isinstance(ds, xr.DataArray)
 
         # Check that all attributes are equal
-        assert ds.band.size == rst.count
+        if rst.count > 1:
+            assert ds.band.size == rst.count
         assert ds.x.size == rst.width
         assert ds.y.size == rst.height
 
@@ -381,7 +382,10 @@ def test_to_xarray(self, example: str):
         assert ds.spatial_ref.crs_wkt == rst.crs.to_wkt()
 
         # Check that the arrays are equal in NaN type
-        assert np.array_equal(rst.data.data, ds.data)
+        if rst.count > 1:
+            assert np.array_equal(rst.data.data, ds.data)
+        else:
+            assert np.array_equal(rst.data.data, ds.data.squeeze())
 
     @pytest.mark.parametrize("nodata_init", [None, "type_default"])  # type: ignore
     @pytest.mark.parametrize(
@@ -418,15 +422,15 @@ def test_data_setter(self, dtype: str, nodata_init: str | None) -> None:
 
         # Fix the random seed
         np.random.seed(42)
-        arr = np.random.randint(low=val_min, high=val_max, size=(1, width, height), dtype=randint_dtype).astype(dtype)
-        mask = np.random.randint(0, 2, size=(1, width, height), dtype=bool)
+        arr = np.random.randint(low=val_min, high=val_max, size=(width, height), dtype=randint_dtype).astype(dtype)
+        mask = np.random.randint(0, 2, size=(width, height), dtype=bool)
 
         # Check that we are actually masking stuff
         assert np.count_nonzero(mask) > 0
 
         # Add a random floating point value if the data type is float
         if "float" in dtype:
-            arr += np.random.normal(size=(1, width, height))
+            arr += np.random.normal(size=(width, height))
 
         # Use either the default nodata or None
         if nodata_init == "type_default":
@@ -483,7 +487,7 @@ def test_data_setter(self, dtype: str, nodata_init: str | None) -> None:
             indices = np.indices(np.shape(arr))
             ind_nm = indices[:, ~mask]
             rand_ind = np.random.randint(low=0, high=ind_nm.shape[1], size=1)[0]
-            arr_with_unmasked_nodata[ind_nm[0, rand_ind], ind_nm[1, rand_ind], ind_nm[2, rand_ind]] = np.nan
+            arr_with_unmasked_nodata[ind_nm[0, rand_ind], ind_nm[1, rand_ind]] = np.nan
 
             if nodata is None:
                 with pytest.warns(
@@ -604,7 +608,7 @@ def test_downsampling(self) -> None:
         """
         # Test single band
         r = gu.Raster(self.landsat_b4_path, downsample=4)
-        assert r.data.shape == (1, 164, 200)
+        assert r.data.shape == (164, 200)
         assert r.height == 164
         assert r.width == 200
 
@@ -814,18 +818,18 @@ def test_masking(self, example: str) -> None:
         # Test boolean mask
         r = gu.Raster(example)
         # We need to know the existing nodata in case they exist, as set_mask only masks new values
-        orig_mask = r.data.mask.copy().squeeze()
+        orig_mask = r.data.mask.copy()
         mask = r.data.data == np.nanmin(r.data)
         r.set_mask(mask)
         assert (np.count_nonzero(mask) > 0) & np.array_equal(orig_mask | mask > 0, r.data.mask)
 
         #  Test mask object
         r2 = gu.Raster(example)
-        mask2 = r2 == np.nanmin(r2)
+        mask2 = r2.data == np.nanmin(r2)
         r2.set_mask(mask2)
         # Indexing at 0 for the mask in case the data has multiple bands
         assert (np.count_nonzero(mask2) > 0) & np.array_equal(
-            orig_mask | mask2.data.filled(False).squeeze(), r2.data.mask[0, :, :]
+            orig_mask | mask2.filled(False), r2.data.mask
         )
         # The two last masking (array or Mask) should yield the same result when the data is only 2D
         if r.count == 1:
@@ -885,7 +889,7 @@ def test_getitem_setitem(self, example: str) -> None:
 
         # It should work with a number, or a 1D array of the same length as the indexed one
         rst[mask] = 1.0
-        rst2[arr] = np.ones(rst2.shape)[arr]
+        rst2[mask] = np.ones(rst2.shape)[arr]
 
         # The rasters should be the same
         assert rst2.raster_equal(rst)
@@ -942,29 +946,29 @@ def test_crop(self, data: list[str]) -> None:
         crop_geom2 = [crop_geom[0] + rand_int * r.res[0], crop_geom[1], crop_geom[2], crop_geom[3]]
         r_cropped = r.crop(crop_geom2, inplace=False)
         assert list(r_cropped.bounds) == crop_geom2
-        assert np.array_equal(r.data[:, :, rand_int:].data, r_cropped.data.data, equal_nan=True)
-        assert np.array_equal(r.data[:, :, rand_int:].mask, r_cropped.data.mask)
+        assert np.array_equal(r.data[:, rand_int:].data, r_cropped.data.data, equal_nan=True)
+        assert np.array_equal(r.data[ :, rand_int:].mask, r_cropped.data.mask)
 
         # Right
         crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2] - rand_int * r.res[0], crop_geom[3]]
         r_cropped = r.crop(crop_geom2, inplace=False)
         assert list(r_cropped.bounds) == crop_geom2
-        assert np.array_equal(r.data[:, :, :-rand_int].data, r_cropped.data.data, equal_nan=True)
-        assert np.array_equal(r.data[:, :, :-rand_int].mask, r_cropped.data.mask)
+        assert np.array_equal(r.data[:, :-rand_int].data, r_cropped.data.data, equal_nan=True)
+        assert np.array_equal(r.data[:, :-rand_int].mask, r_cropped.data.mask)
 
         # Bottom
         crop_geom2 = [crop_geom[0], crop_geom[1] + rand_int * abs(r.res[1]), crop_geom[2], crop_geom[3]]
         r_cropped = r.crop(crop_geom2, inplace=False)
         assert list(r_cropped.bounds) == crop_geom2
-        assert np.array_equal(r.data[:, :-rand_int, :].data, r_cropped.data.data, equal_nan=True)
-        assert np.array_equal(r.data[:, :-rand_int, :].mask, r_cropped.data.mask)
+        assert np.array_equal(r.data[:-rand_int, :].data, r_cropped.data.data, equal_nan=True)
+        assert np.array_equal(r.data[:-rand_int, :].mask, r_cropped.data.mask)
 
         # Top
         crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2], crop_geom[3] - rand_int * abs(r.res[1])]
         r_cropped = r.crop(crop_geom2, inplace=False)
         assert list(r_cropped.bounds) == crop_geom2
-        assert np.array_equal(r.data[:, rand_int:, :].data, r_cropped.data, equal_nan=True)
-        assert np.array_equal(r.data[:, rand_int:, :].mask, r_cropped.data.mask)
+        assert np.array_equal(r.data[rand_int:, :].data, r_cropped.data, equal_nan=True)
+        assert np.array_equal(r.data[rand_int:, :].mask, r_cropped.data.mask)
 
         # Same but tuple
         crop_geom3: tuple[float, float, float, float] = (
@@ -975,8 +979,8 @@ def test_crop(self, data: list[str]) -> None:
         )
         r_cropped = r.crop(crop_geom3, inplace=False)
         assert list(r_cropped.bounds) == list(crop_geom3)
-        assert np.array_equal(r.data[:, rand_int:, :].data, r_cropped.data.data, equal_nan=True)
-        assert np.array_equal(r.data[:, rand_int:, :].mask, r_cropped.data.mask)
+        assert np.array_equal(r.data[rand_int:, :].data, r_cropped.data.data, equal_nan=True)
+        assert np.array_equal(r.data[rand_int:, :].mask, r_cropped.data.mask)
 
         # -- Test with crop_geom being a Raster -- #
         r_cropped2 = r.crop(r_cropped, inplace=False)
@@ -1010,29 +1014,29 @@ def test_crop(self, data: list[str]) -> None:
         crop_geom2 = [crop_geom[0] + rand_float * r.res[0], crop_geom[1], crop_geom[2], crop_geom[3]]
         r_cropped = r.crop(crop_geom2, inplace=False)
         assert r.shape[1] - (r_cropped.bounds.right - r_cropped.bounds.left) / r.res[0] == int(rand_float)
-        assert np.array_equal(r.data[:, :, int(rand_float) :].data, r_cropped.data.data, equal_nan=True)
-        assert np.array_equal(r.data[:, :, int(rand_float) :].mask, r_cropped.data.mask)
+        assert np.array_equal(r.data[:, int(rand_float) :].data, r_cropped.data.data, equal_nan=True)
+        assert np.array_equal(r.data[:, int(rand_float) :].mask, r_cropped.data.mask)
 
         # right
         crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2] - rand_float * r.res[0], crop_geom[3]]
         r_cropped = r.crop(crop_geom2, inplace=False)
         assert r.shape[1] - (r_cropped.bounds.right - r_cropped.bounds.left) / r.res[0] == int(rand_float)
-        assert np.array_equal(r.data[:, :, : -int(rand_float)].data, r_cropped.data.data, equal_nan=True)
-        assert np.array_equal(r.data[:, :, : -int(rand_float)].mask, r_cropped.data.mask)
+        assert np.array_equal(r.data[:, : -int(rand_float)].data, r_cropped.data.data, equal_nan=True)
+        assert np.array_equal(r.data[:, : -int(rand_float)].mask, r_cropped.data.mask)
 
         # bottom
         crop_geom2 = [crop_geom[0], crop_geom[1] + rand_float * abs(r.res[1]), crop_geom[2], crop_geom[3]]
         r_cropped = r.crop(crop_geom2, inplace=False)
         assert r.shape[0] - (r_cropped.bounds.top - r_cropped.bounds.bottom) / r.res[1] == int(rand_float)
-        assert np.array_equal(r.data[:, : -int(rand_float), :].data, r_cropped.data.data, equal_nan=True)
-        assert np.array_equal(r.data[:, : -int(rand_float), :].mask, r_cropped.data.mask)
+        assert np.array_equal(r.data[: -int(rand_float), :].data, r_cropped.data.data, equal_nan=True)
+        assert np.array_equal(r.data[: -int(rand_float), :].mask, r_cropped.data.mask)
 
         # top
         crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2], crop_geom[3] - rand_float * abs(r.res[1])]
         r_cropped = r.crop(crop_geom2, inplace=False)
         assert r.shape[0] - (r_cropped.bounds.top - r_cropped.bounds.bottom) / r.res[1] == int(rand_float)
-        assert np.array_equal(r.data[:, int(rand_float) :, :].data, r_cropped.data.data, equal_nan=True)
-        assert np.array_equal(r.data[:, int(rand_float) :, :].mask, r_cropped.data.mask)
+        assert np.array_equal(r.data[int(rand_float) :, :].data, r_cropped.data.data, equal_nan=True)
+        assert np.array_equal(r.data[int(rand_float) :, :].mask, r_cropped.data.mask)
 
         # -- Test with mode='match_extent' -- #
         # Test all sides at once, with rand_float less than half the smallest extent
@@ -1166,7 +1170,7 @@ def test_reproject(self, example: str) -> None:
         )
 
         # data is cropped to the same extent
-        new_data = r.data[:, rand_int::, rand_int::]
+        new_data = r.data[rand_int::, rand_int::]
         r2b = gu.Raster.from_array(data=new_data, transform=new_transform, crs=r.crs, nodata=r.nodata)
 
         # Create a raster with different resolution
@@ -1592,7 +1596,6 @@ def test_xy2ij_and_interp(self) -> None:
             # 2x2 slices
             z_ind = np.mean(
                 img[
-                    0,
                     slice(int(np.floor(i[k])), int(np.ceil(i[k])) + 1),
                     slice(int(np.floor(j[k])), int(np.ceil(j[k])) + 1),
                 ]
@@ -1629,7 +1632,7 @@ def test_xy2ij_and_interp(self) -> None:
         img = r.data
         for k in range(len(xrand)):
             # We directly sample the values
-            z_ind = img[0, int(i[k]), int(j[k])]
+            z_ind = img[int(i[k]), int(j[k])]
             list_z_ind.append(z_ind)
 
         rpts = r.interp_points(pts, order=1)
@@ -1641,7 +1644,7 @@ def test_xy2ij_and_interp(self) -> None:
         y = 3101000.0
         i, j = r.xy2ij(x, y)
         val = r.interp_points([(x, y)], order=1)[0]
-        assert img[0, int(i), int(j)] == val
+        assert img[int(i), int(j)] == val
 
         # Finally, check that interp convert to latlon
         lat, lon = gu.projtools.reproject_to_latlon((x, y), in_crs=r.crs)
@@ -1675,7 +1678,7 @@ def test_value_at_coords(self) -> None:
 
         # Check that the value at this coordinate is the same as when indexing
         z_val = r.value_at_coords(xtest0, ytest0)
-        z = r.data.data[0, itest0, jtest0]
+        z = r.data.data[itest0, jtest0]
         assert z == z_val
 
         # Check that the value is the same the other 4 corners of the pixel
@@ -1763,17 +1766,17 @@ def test_value_at_coords(self) -> None:
         # Lower right pixel
         x, y = [r.bounds.right - r.res[0] / 2, r.bounds.bottom + r.res[1] / 2]
         lat, lon = pt.reproject_to_latlon([x, y], r.crs)
-        assert r.value_at_coords(x, y) == r.value_at_coords(lon, lat, latlon=True) == r.data[0, -1, -1]
+        assert r.value_at_coords(x, y) == r.value_at_coords(lon, lat, latlon=True) == r.data[-1, -1]
 
         # One pixel above
         x, y = [r.bounds.right - r.res[0] / 2, r.bounds.bottom + 3 * r.res[1] / 2]
         lat, lon = pt.reproject_to_latlon([x, y], r.crs)
-        assert r.value_at_coords(x, y) == r.value_at_coords(lon, lat, latlon=True) == r.data[0, -2, -1]
+        assert r.value_at_coords(x, y) == r.value_at_coords(lon, lat, latlon=True) == r.data[-2, -1]
 
         # One pixel left
         x, y = [r.bounds.right - 3 * r.res[0] / 2, r.bounds.bottom + r.res[1] / 2]
         lat, lon = pt.reproject_to_latlon([x, y], r.crs)
-        assert r.value_at_coords(x, y) == r.value_at_coords(lon, lat, latlon=True) == r.data[0, -1, -2]
+        assert r.value_at_coords(x, y) == r.value_at_coords(lon, lat, latlon=True) == r.data[-1, -2]
 
     @pytest.mark.parametrize("example", [landsat_b4_path, aster_dem_path])  # type: ignore
     def test_set_nodata(self, example: str) -> None:
@@ -1794,7 +1797,7 @@ def test_set_nodata(self, example: str) -> None:
 
         # Check that the new_nodata does not exist in the raster yet, and set it
         assert np.count_nonzero(r_copy.data.data == new_nodata) == 0
-        r.set_nodata(nodata=new_nodata)
+        r.set_nodata(new_nodata=new_nodata)
 
         # The nodata value should have been set in the metadata
         assert r.nodata == new_nodata
@@ -1814,7 +1817,7 @@ def test_set_nodata(self, example: str) -> None:
         # Then, we repeat for a nodata that already existed, we artificially modify the value on an unmasked pixel
         r = r_copy.copy()
         mask_pixel_artificially_set = np.zeros(np.shape(r.data), dtype=bool)
-        mask_pixel_artificially_set[0, 0, 0] = True
+        mask_pixel_artificially_set[0, 0] = True
         r.data.data[mask_pixel_artificially_set] = new_nodata
         # We set the value as masked before unmasking to create the mask if it does not exist yet
         r.data[mask_pixel_artificially_set] = np.ma.masked
@@ -1831,7 +1834,7 @@ def test_set_nodata(self, example: str) -> None:
                 "and/or update_mask=False to change this behaviour."
             ),
         ):
-            r.set_nodata(nodata=new_nodata)
+            r.set_nodata(new_nodata=new_nodata)
 
         # The nodata value should have been set in the metadata
         assert r.nodata == new_nodata
@@ -1873,7 +1876,7 @@ def test_set_nodata(self, example: str) -> None:
                 "with update_mask=False to change this behaviour."
             ),
         ):
-            r.set_nodata(nodata=new_nodata, update_array=False)
+            r.set_nodata(new_nodata=new_nodata, update_array=False)
 
         # The nodata value should have been set in the metadata
         assert r.nodata == new_nodata
@@ -1901,7 +1904,7 @@ def test_set_nodata(self, example: str) -> None:
                 "value. Use set_nodata() with update_array=False to change this behaviour."
             ),
         ):
-            r.set_nodata(nodata=new_nodata, update_mask=False)
+            r.set_nodata(new_nodata=new_nodata, update_mask=False)
 
         # The nodata value should have been set in the metadata
         assert r.nodata == new_nodata
@@ -1923,7 +1926,7 @@ def test_set_nodata(self, example: str) -> None:
         # -- Fourth, test set_nodata() with both update_array=False and update_mask=False --
         r = r_copy.copy()
 
-        r.set_nodata(nodata=new_nodata, update_array=False, update_mask=False)
+        r.set_nodata(new_nodata=new_nodata, update_array=False, update_mask=False)
         r.data.data[mask_pixel_artificially_set] = new_nodata
         # We set the value as masked before unmasking to create the mask if it does not exist yet
         r.data[mask_pixel_artificially_set] = np.ma.masked
@@ -1940,8 +1943,8 @@ def test_set_nodata(self, example: str) -> None:
         # -- Fifth, let's check that errors are raised when they should --
 
         # A ValueError if input nodata is neither a list, tuple, integer, floating
-        with pytest.raises(ValueError, match="Type of nodata not understood, must be tuple or float or int"):
-            r.set_nodata(nodata="this_should_not_work")  # type: ignore
+        with pytest.raises(ValueError, match="Type of nodata not understood, must be float or int."):
+            r.set_nodata(new_nodata="this_should_not_work")  # type: ignore
 
         # A ValueError if nodata value is incompatible with dtype
         expected_message = r"nodata value .* incompatible with self.dtype .*"
@@ -2260,9 +2263,9 @@ def test_from_array(self) -> None:
 
         # Test that data mask is taken into account
         img.data.mask = np.zeros((img.shape), dtype="bool")
-        img.data.mask[0, 0, 0] = True
+        img.data.mask[0, 0] = True
         out_img = gu.Raster.from_array(img.data, img.transform, img.crs, nodata=0)
-        assert out_img.data.mask[0, 0, 0]
+        assert out_img.data.mask[0, 0]
 
         # Check that error is raised if the transform is not affine
         with pytest.raises(TypeError, match="The transform argument needs to be Affine or tuple."):
@@ -2314,9 +2317,7 @@ def test_split_bands(self) -> None:
 
         # Check that the shapes are correct.
         assert red.count == 1
-        assert red.data.shape[0] == 1
         assert img.count == 3
-        assert img.data.shape[0] == 3
 
         # Extract only one band (then it will not return a list)
         red2 = img.split_bands(copy=False, subset=1)[0]
@@ -2757,36 +2758,36 @@ def test_crop(self, mask: gu.Mask) -> None:
         crop_geom2 = [crop_geom[0] + rand_int * mask.res[0], crop_geom[1], crop_geom[2], crop_geom[3]]
         mask_cropped = mask.crop(crop_geom2, inplace=False)
         assert list(mask_cropped.bounds) == crop_geom2
-        assert np.array_equal(mask.data[:, :, rand_int:].data, mask_cropped.data.data, equal_nan=True)
-        assert np.array_equal(mask.data[:, :, rand_int:].mask, mask_cropped.data.mask)
+        assert np.array_equal(mask.data[:, rand_int:].data, mask_cropped.data.data, equal_nan=True)
+        assert np.array_equal(mask.data[:, rand_int:].mask, mask_cropped.data.mask)
 
         # Right
         crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2] - rand_int * mask.res[0], crop_geom[3]]
         mask_cropped = mask.crop(crop_geom2, inplace=False)
         assert list(mask_cropped.bounds) == crop_geom2
-        assert np.array_equal(mask.data[:, :, :-rand_int].data, mask_cropped.data.data, equal_nan=True)
-        assert np.array_equal(mask.data[:, :, :-rand_int].mask, mask_cropped.data.mask)
+        assert np.array_equal(mask.data[:, :-rand_int].data, mask_cropped.data.data, equal_nan=True)
+        assert np.array_equal(mask.data[:, :-rand_int].mask, mask_cropped.data.mask)
 
         # Bottom
         crop_geom2 = [crop_geom[0], crop_geom[1] + rand_int * abs(mask.res[1]), crop_geom[2], crop_geom[3]]
         mask_cropped = mask.crop(crop_geom2, inplace=False)
         assert list(mask_cropped.bounds) == crop_geom2
-        assert np.array_equal(mask.data[:, :-rand_int, :].data, mask_cropped.data.data, equal_nan=True)
-        assert np.array_equal(mask.data[:, :-rand_int, :].mask, mask_cropped.data.mask)
+        assert np.array_equal(mask.data[:-rand_int, :].data, mask_cropped.data.data, equal_nan=True)
+        assert np.array_equal(mask.data[:-rand_int, :].mask, mask_cropped.data.mask)
 
         # Top
         crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2], crop_geom[3] - rand_int * abs(mask.res[1])]
         mask_cropped = mask.crop(crop_geom2, inplace=False)
         assert list(mask_cropped.bounds) == crop_geom2
-        assert np.array_equal(mask.data[:, rand_int:, :].data, mask_cropped.data, equal_nan=True)
-        assert np.array_equal(mask.data[:, rand_int:, :].mask, mask_cropped.data.mask)
+        assert np.array_equal(mask.data[rand_int:, :].data, mask_cropped.data, equal_nan=True)
+        assert np.array_equal(mask.data[rand_int:, :].mask, mask_cropped.data.mask)
 
         # Test inplace
         mask_orig = mask.copy()
         mask.crop(crop_geom2)
         assert list(mask.bounds) == crop_geom2
-        assert np.array_equal(mask_orig.data[:, rand_int:, :].data, mask.data, equal_nan=True)
-        assert np.array_equal(mask_orig.data[:, rand_int:, :].mask, mask.data.mask)
+        assert np.array_equal(mask_orig.data[rand_int:, :].data, mask.data, equal_nan=True)
+        assert np.array_equal(mask_orig.data[rand_int:, :].mask, mask.data.mask)
 
         # Run with match_extent, check that inplace or not yields the same result
 
@@ -2856,7 +2857,7 @@ class TestArithmetic:
         crs=None,
         nodata=_default_nodata("float32"),
     )
-    r2_zero.data[0, 0, 0] = 0
+    r2_zero.data[0, 0] = 0
 
     # Create rasters with different shape, crs or transforms for testing errors
     r1_wrong_shape = gu.Raster.from_array(
@@ -3004,7 +3005,7 @@ def test_ops_2args_expl(self, op: str) -> None:
         r2 = self.r2
         r2_zero = self.r2_zero
         satimg = self.satimg
-        array = np.random.randint(1, 255, (1, self.height, self.width)).astype("float64")
+        array = np.random.randint(1, 255, (self.height, self.width)).astype("float64")
         floatval = 3.14
         intval = 1
 
@@ -3105,7 +3106,7 @@ def test_reflectivity(self, ops: list[str]) -> None:
         warnings.filterwarnings("ignore", message="invalid value encountered")
 
         # Test various inputs: Raster with different dtypes, np.ndarray, single number
-        array = np.random.randint(1, 255, (1, self.height, self.width)).astype("float64")
+        array = np.random.randint(1, 255, (self.height, self.width)).astype("float64")
         floatval = 3.14
         intval = 1
 
@@ -3672,7 +3673,7 @@ def test_array_functions_1nin(self, arrfunc_str: str, dtype: str, nodata_init: N
             elif "gradient" in arrfunc_str:
                 # For the gradient, we need to take a single band
                 output_rst = arrfunc(rst)
-                output_ma = np.gradient(rst.data[0, :, :])
+                output_ma = np.gradient(rst.data)
             else:
                 output_rst = arrfunc(rst)
                 output_ma = arrfunc(rst.data)

From d5e66ce0b8c27dec64f5049c43a2d27ef603f594 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 6 Apr 2023 14:42:39 -0800
Subject: [PATCH 167/184] Linting and fix some inconsistencies

---
 geoutils/raster/raster.py | 72 +++++++++++++++++++++------------------
 tests/test_raster.py      |  6 ++--
 2 files changed, 41 insertions(+), 37 deletions(-)

diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index a723e36bb..a0897bb04 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -8,7 +8,6 @@
 import pathlib
 import warnings
 from collections import abc
-from collections.abc import Iterable
 from contextlib import ExitStack
 from math import floor
 from numbers import Number
@@ -174,10 +173,11 @@ def _default_nodata(dtype: str | np.dtype | type) -> int:
 
 def _load_rio(
     dataset: rio.io.DatasetReader,
-    indexes: int | tuple[int, ...] | None = None,
+    indexes: int | list[int] | None = None,
     masked: bool = False,
     transform: Affine | None = None,
     shape: tuple[int, int] | None = None,
+    out_count: int | None = None,
     **kwargs: Any,
 ) -> np.ma.masked_array:
     r"""
@@ -190,6 +190,7 @@ def _load_rio(
     :param masked: Whether the mask should be read (if any exists) to use the nodata to mask values.
     :param transform: Create a window from the given transform (to read only parts of the raster)
     :param shape: Expected shape of the read ndarray. Must be given together with the `transform` argument.
+    :param out_count: Specify the count for a subsampled version (to be used with kwargs out_shape).
 
     :raises ValueError: If only one of ``transform`` and ``shape`` are given.
 
@@ -198,13 +199,16 @@ def _load_rio(
     \*\*kwargs: any additional arguments to rasterio.io.DatasetReader.read.
     Useful ones are:
     .. hlist::
-    * out_shape : to load a subsampled version
+    * out_shape : to load a subsampled version, always use with out_count
     * window : to load a cropped version
     * resampling : to set the resampling algorithm
     """
     # If out_shape is passed, no need to account for transform and shape
     if kwargs["out_shape"] is not None:
         window = None
+        # If multi-band raster, the out_shape needs to contain the count
+        if out_count is not None and out_count > 1:
+            kwargs["out_shape"] = (out_count, *kwargs["out_shape"])
     else:
         if transform is not None and shape is not None:
             if transform == dataset.transform:
@@ -255,7 +259,7 @@ def __init__(
         load_data: bool = False,
         downsample: AnyNumber = 1,
         masked: bool = True,
-        nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = None,
+        nodata: int | float | None = None,
     ) -> None:
         """
         Instantiate a raster from a filename or rasterio dataset.
@@ -280,11 +284,12 @@ def __init__(
         self._data: np.ma.masked_array | None = None
         self._transform: affine.Affine | None = None
         self._crs: CRS | None = None
-        self._nodata: int | float | tuple[int, ...] | tuple[float, ...] | None = nodata
+        self._nodata: int | float | None = nodata
         self._indexes = indexes
         self._indexes_loaded: int | tuple[int, ...] | None = None
         self._masked = masked
-        self._out_shape: tuple[int, int, int] | None = None
+        self._out_count: int | None = None
+        self._out_shape: tuple[int, int] | None = None
         self._disk_hash: int | None = None
         self._is_modified = True
         self._disk_shape: tuple[int, int, int] | None = None
@@ -346,32 +351,35 @@ def __init__(
                 count = self.count
             elif isinstance(indexes, int):
                 count = 1
-            elif isinstance(indexes, abc.Iterable):
+            else:
                 count = len(indexes)
 
             # Downsampled image size
             if not isinstance(downsample, (int, float)):
                 raise TypeError("downsample must be of type int or float.")
             if downsample == 1:
-                out_shape = (count, self.height, self.width)
+                out_shape = (self.height, self.width)
             else:
                 down_width = int(np.ceil(self.width / downsample))
                 down_height = int(np.ceil(self.height / downsample))
-                out_shape = (count, down_height, down_width)
+                out_shape = (down_height, down_width)
                 res = tuple(np.asarray(self.res) * downsample)
                 self.transform = rio.transform.from_origin(self.bounds.left, self.bounds.top, res[0], res[1])
 
-            # Rebuild out_shape for squeezing 2D arrays
-            if count == 1:
-                out_shape = out_shape[1:]
-
             # This will record the downsampled out_shape is data is only loaded later on by .load()
             self._out_shape = out_shape
+            self._out_count = count
 
             if load_data:
                 # Mypy doesn't like the out_shape for some reason. I can't figure out why! (erikmannerfelt, 14/01/2022)
                 # Don't need to pass shape and transform, because out_shape overrides it
-                self.data = _load_rio(ds, indexes=indexes, masked=masked, out_shape=out_shape)  # type: ignore
+                self.data = _load_rio(
+                    ds,
+                    indexes=indexes,
+                    masked=masked,
+                    out_shape=out_shape,
+                    out_count=count,
+                )  # type: ignore
 
             # Probably don't want to use set_nodata that can update array, setting self._nodata is sufficient
             # Set nodata only if data is loaded
@@ -440,10 +448,7 @@ def shape(self) -> tuple[int, int]:
         """Shape (i.e., height, width) of the raster in pixels."""
         # If a downsampling argument was defined but data not loaded yet
         if self._out_shape is not None and not self.is_loaded:
-            if len(self._out_shape) == 2:
-                return self._out_shape
-            else:
-                return self._out_shape[1:]
+            return self._out_shape
         # If data loaded or not, pass the disk/data shape through height and width
         return self.height, self.width
 
@@ -529,14 +534,9 @@ def load(self, indexes: int | list[int] | None = None, **kwargs: Any) -> None:
                 valid_indexes = (indexes,)
             else:
                 valid_indexes = tuple(indexes)
-            # Update out_shape
+            # Update out_count if out_shape exists (when a downsampling has been passed)
             if self._out_shape is not None:
-                # The shape attribute will automatically pass out_shape width and height,
-                # just need to add the first axis
-                if len(valid_indexes) > 1:
-                    self._out_shape = (len(valid_indexes), *self.shape)
-                else:
-                    self._out_shape = self.shape
+                self._out_count = len(valid_indexes)
 
         # Save which indexes are loaded
         self._indexes_loaded = valid_indexes
@@ -545,11 +545,12 @@ def load(self, indexes: int | list[int] | None = None, **kwargs: Any) -> None:
         with rio.open(self.filename) as dataset:
             self.data = _load_rio(
                 dataset,
-                indexes=valid_indexes,
+                indexes=list(valid_indexes),
                 masked=self._masked,
                 transform=self.transform,
                 shape=self.shape,
                 out_shape=self._out_shape,
+                out_count=self._out_count,
                 **kwargs,
             )
 
@@ -1192,7 +1193,7 @@ def is_modified(self) -> bool:
         return self._is_modified
 
     @property
-    def nodata(self) -> int | float | tuple[int, ...] | tuple[float, ...] | None:
+    def nodata(self) -> int | float | None:
         """
         Nodata value of the raster.
 
@@ -1201,7 +1202,7 @@ def nodata(self) -> int | float | tuple[int, ...] | tuple[float, ...] | None:
         return self._nodata
 
     @nodata.setter
-    def nodata(self, new_nodata: int | float | tuple[int, ...] | tuple[float, ...] | None) -> None:
+    def nodata(self, new_nodata: int | float | None) -> None:
         """
         Set .nodata and update .data by calling set_nodata() with default parameters.
 
@@ -1224,7 +1225,7 @@ def set_nodata(
         update_mask: bool = True,
     ) -> None:
         """
-        Set a new nodata value for each band. This updates the old nodata into a new nodata value in the metadata,
+        Set a new nodata value for all bands. This updates the old nodata into a new nodata value in the metadata,
         replaces the nodata values in the data of the masked array, and updates the mask of the masked array.
 
         Careful! If the new nodata value already exists in the array, the related grid cells will be masked by default.
@@ -1306,7 +1307,6 @@ def set_nodata(
                 # Masking like this works from the masked array directly, whether a mask exists or not
                 imgdata[index_new_nodatas] = np.ma.masked
 
-
             # Update the data
             self._data = imgdata
 
@@ -1355,12 +1355,18 @@ def data(self, new_data: np.ndarray | np.ma.masked_array) -> None:
             new_data = new_data.squeeze(axis=0)
 
         # Check that new_data has correct shape
-        if self.is_loaded:
+
+        # If data is loaded
+        if self._data is not None:
             dtype = str(self._data.dtype)
             orig_shape = self._data.shape
-        elif self.filename is not None:
+        # If filename exists
+        elif self._disk_dtypes is not None:
             dtype = self._disk_dtypes[0]
-            orig_shape = self._out_shape
+            if self._out_count == 1:
+                orig_shape = self._out_shape
+            else:
+                orig_shape = (self._out_count, *self._out_shape)  # type: ignore
         else:
             dtype = str(new_data.dtype)
             orig_shape = new_data.shape
diff --git a/tests/test_raster.py b/tests/test_raster.py
index df2589e0b..b1163dceb 100644
--- a/tests/test_raster.py
+++ b/tests/test_raster.py
@@ -828,9 +828,7 @@ def test_masking(self, example: str) -> None:
         mask2 = r2.data == np.nanmin(r2)
         r2.set_mask(mask2)
         # Indexing at 0 for the mask in case the data has multiple bands
-        assert (np.count_nonzero(mask2) > 0) & np.array_equal(
-            orig_mask | mask2.filled(False), r2.data.mask
-        )
+        assert (np.count_nonzero(mask2) > 0) & np.array_equal(orig_mask | mask2.filled(False), r2.data.mask)
         # The two last masking (array or Mask) should yield the same result when the data is only 2D
         if r.count == 1:
             assert np.array_equal(r.data.mask, r2.data.mask)
@@ -947,7 +945,7 @@ def test_crop(self, data: list[str]) -> None:
         r_cropped = r.crop(crop_geom2, inplace=False)
         assert list(r_cropped.bounds) == crop_geom2
         assert np.array_equal(r.data[:, rand_int:].data, r_cropped.data.data, equal_nan=True)
-        assert np.array_equal(r.data[ :, rand_int:].mask, r_cropped.data.mask)
+        assert np.array_equal(r.data[:, rand_int:].mask, r_cropped.data.mask)
 
         # Right
         crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2] - rand_int * r.res[0], crop_geom[3]]

From 20094d7ce5c5cc7a5bda15da27eb6eefca1ca30b Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 6 Apr 2023 15:26:47 -0800
Subject: [PATCH 168/184] Fix docs

---
 doc/source/core_array_funcs.md |  2 +-
 doc/source/core_composition.md |  4 ++--
 geoutils/raster/raster.py      |  7 +++++--
 geoutils/vector.py             |  2 +-
 tests/test_raster.py           | 30 ++++++++++++++++++++++++++----
 5 files changed, 35 insertions(+), 10 deletions(-)

diff --git a/doc/source/core_array_funcs.md b/doc/source/core_array_funcs.md
index c31fecef1..090813b52 100644
--- a/doc/source/core_array_funcs.md
+++ b/doc/source/core_array_funcs.md
@@ -89,7 +89,7 @@ np.max(raster)
 
 ```{code-cell} ipython3
 # Expliciting an axis for reduction
-np.count_nonzero(raster, axis=2)
+np.count_nonzero(raster, axis=1)
 ```
 
 Not all array functions are supported, however. GeoUtils supports nearly all [mathematical functions](https://numpy.org/doc/stable/reference/routines.math.html),
diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
index a2a33373f..037880ea3 100644
--- a/doc/source/core_composition.md
+++ b/doc/source/core_composition.md
@@ -64,7 +64,7 @@ To check if a {class}`~geoutils.Raster` was loaded from the **on-disk** data, us
 To check if the {class}`~geoutils.Raster` was modified since loading from the **on-disk** data, use the {attr}`~geoutils.Raster.is_modified` attribute.
 ```
 
-See {ref}`(raster-class)` for more details.
+See {ref}`raster-class` for more details.
 
 
 ## The {class}`~geoutils.Vector` class composition
@@ -95,4 +95,4 @@ its type: to a {class}`~geoutils.Vector` for a geometric output (e.g., {class}`~
 vector.boundary
 ```
 
-See {ref}`(vector-class)` for more details.
+See {ref}`vector-class` for more details.
diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index a0897bb04..a1eb5ce5f 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -1848,6 +1848,9 @@ def crop(
                         masked=self._masked,
                         window=final_window,
                     )
+                # Squeeze first axis for single-band
+                if len(crop_img.shape) == 3 and crop_img.shape[0] == 1:
+                    crop_img = crop_img.squeeze(axis=0)
 
         else:
             bbox = rio.coords.BoundingBox(left=xmin, bottom=ymin, right=xmax, top=ymax)
@@ -2884,7 +2887,7 @@ def interp_points(
         ind_invalid = np.vectorize(lambda k1, k2: self.outside_image(k1, k2, index=True))(j, i)
 
         if self.count == 1:
-            rpts = map_coordinates(self.data[:, :].astype(np.float32), [i, j], **kwargs)
+            rpts = map_coordinates(self.data.astype(np.float32), [i, j], **kwargs)
         else:
             rpts = map_coordinates(self.data[index - 1, :, :].astype(np.float32), [i, j], **kwargs)
 
@@ -3017,7 +3020,7 @@ def to_points(
             points = Vector(
                 gpd.GeoDataFrame(
                     points[:, 2:],
-                    columns=[f"b{i}" for i in range(1, pixel_data.shape[0] + 1)],
+                    columns=[f"b{i}" for i in range(1, self.count + 1)],
                     geometry=gpd.points_from_xy(points[:, 0], points[:, 1]),
                     crs=self.crs,
                 )
diff --git a/geoutils/vector.py b/geoutils/vector.py
index ffa61c874..31082385a 100644
--- a/geoutils/vector.py
+++ b/geoutils/vector.py
@@ -1336,7 +1336,7 @@ def from_bounds_projected(
         :param raster_or_vector: A raster or vector
         :param out_crs: In which CRS to compute the bounds
         :param densify_pts: Maximum points to be added between image corners to account for nonlinear edges.
-        Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
+            Reduce if time computation is really critical (ms) or increase if extent is not accurate enough.
         """
 
         if out_crs is None:
diff --git a/tests/test_raster.py b/tests/test_raster.py
index b1163dceb..6a0925e1e 100644
--- a/tests/test_raster.py
+++ b/tests/test_raster.py
@@ -928,6 +928,12 @@ def test_crop(self, data: list[str]) -> None:
         # -- Test with crop_geom being a list/tuple -- ##
         crop_geom: list[float] = list(r.bounds)
 
+        # Test inplace unloaded cropping conserves the shape
+        r.crop(crop_geom=[crop_geom[0] + r.res[0], crop_geom[1], crop_geom[2], crop_geom[3]])
+        assert len(r.data.shape) == 2
+
+        r = gu.Raster(raster_path)
+
         # Test with same bounds -> should be the same #
         crop_geom2 = [crop_geom[0], crop_geom[1], crop_geom[2], crop_geom[3]]
         r_cropped = r.crop(crop_geom2, inplace=False)
@@ -2527,22 +2533,38 @@ def test_proximity_parameters(self) -> None:
 
     def test_to_points(self) -> None:
         """Test the outputs of the to_points method and that it doesn't load if not needed."""
+
         # Create a small raster to test point sampling on
-        img1 = gu.Raster.from_array(
+        img0 = gu.Raster.from_array(
             np.arange(25, dtype="int32").reshape(5, 5), transform=rio.transform.from_origin(0, 5, 1, 1), crs=4326
         )
 
         # Sample the whole raster (fraction==1)
-        points = img1.to_points(1, as_array=True)
+        points = img0.to_points(1, as_array=True)
 
         # Validate that 25 points were sampled (equating to img1.height * img1.width) with x, y, and band0 values.
         assert isinstance(points, np.ndarray)
         assert points.shape == (25, 3)
         assert np.array_equal(np.asarray(points[:, 0]), np.tile(np.linspace(0.5, 4.5, 5), 5))
 
-        assert img1.to_points(0.2, as_array=True).shape == (5, 3)
+        assert img0.to_points(0.2, as_array=True).shape == (5, 3)
+
+        # Try with a single-band raster
+        img1 = gu.Raster(self.aster_dem_path)
+
+        points = img1.to_points(10, as_array=True)
+
+        assert points.shape == (10, 3)
+        assert not img1.is_loaded
+
+        points_frame = img1.to_points(10)
+
+        assert isinstance(points_frame, gu.Vector)
+        assert np.array_equal(points_frame.ds.columns, ["b1", "geometry"])
+        assert points_frame.crs == img1.crs
 
-        img2 = gu.Raster(self.landsat_rgb_path, load_data=False)
+        # Try with a multi-band raster
+        img2 = gu.Raster(self.landsat_rgb_path)
 
         points = img2.to_points(10, as_array=True)
 

From c57778fa608135db3da7fdb8d203f339106ab46f Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 6 Apr 2023 16:59:53 -0800
Subject: [PATCH 169/184] Add xarray and rioxarray to main environment

---
 dev-environment.yml | 3 ++-
 environment.yml     | 2 ++
 2 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/dev-environment.yml b/dev-environment.yml
index cbed28090..f16432ff0 100644
--- a/dev-environment.yml
+++ b/dev-environment.yml
@@ -9,6 +9,8 @@ dependencies:
   - rasterio>=1.3
   - scipy
   - tqdm
+  - xarray
+  - rioxarray
 
   # Development-specific
   - autovizwidget
@@ -27,7 +29,6 @@ dependencies:
   - sphinx-gallery
   - scikit-image
   - pyyaml
-  - rioxarray
   - sphinx-design
   - sphinx-book-theme
 
diff --git a/environment.yml b/environment.yml
index 6a2c76860..668128139 100644
--- a/environment.yml
+++ b/environment.yml
@@ -9,3 +9,5 @@ dependencies:
   - rasterio>=1.3
   - scipy
   - tqdm
+  - xarray
+  - rioxarray

From 5250ac3416f162304944a8e1b858cad579a8ad86 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 10 Apr 2023 16:37:38 -0800
Subject: [PATCH 170/184] Account for amaurys comments

---
 doc/source/conf.py                            | 18 +++-
 doc/source/core_array_funcs.md                | 34 +++----
 doc/source/core_composition.md                | 28 +++---
 doc/source/core_inheritance.md                | 10 +-
 doc/source/core_lazy_load.md                  | 31 ++++---
 doc/source/core_py_ops.md                     | 26 +++---
 doc/source/mask_class.md                      | 21 +++--
 doc/source/quick_start.md                     | 12 +--
 doc/source/raster_class.md                    | 92 ++++++++++---------
 doc/source/satimg_class.md                    | 12 ++-
 doc/source/vector_class.md                    | 16 ++--
 .../array_numerics/numpy_interfacing.py       |  3 +-
 .../array_numerics/python_arithmetic.py       |  3 +-
 .../analysis/geospatial/buffer_voronoi.py     | 18 ++--
 .../analysis/geospatial/proximity_metric.py   | 15 ++-
 .../point_extraction/interpolation.py         |  7 +-
 .../analysis/point_extraction/reduction.py    |  9 +-
 .../handling/georeferencing/crop_raster.py    | 16 ++--
 .../handling/georeferencing/crop_vector.py    |  6 +-
 .../handling/georeferencing/reproj_raster.py  |  6 +-
 .../handling/georeferencing/reproj_vector.py  |  8 +-
 examples/handling/interface/create_mask.py    |  6 +-
 examples/handling/interface/polygonize.py     |  3 +-
 examples/handling/interface/rasterize.py      |  6 +-
 examples/handling/interface/topoints.py       |  4 +-
 examples/io/import_export/from_array.py       |  2 +
 examples/io/import_export/import_raster.py    |  5 +-
 examples/io/import_export/import_vector.py    |  3 +-
 examples/io/open_save/read_raster.py          |  8 +-
 examples/io/open_save/read_satimg.py          | 12 +--
 examples/io/open_save/read_vector.py          |  9 +-
 geoutils/raster/__init__.py                   |  2 +-
 geoutils/raster/raster.py                     | 17 +++-
 tests/test_docs.py                            |  2 +-
 34 files changed, 272 insertions(+), 198 deletions(-)

diff --git a/doc/source/conf.py b/doc/source/conf.py
index 9ccd1a266..ee0ad156d 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -10,6 +10,7 @@
 sys.path.append(os.path.abspath("../../geoutils/"))
 sys.path.append(os.path.abspath(".."))
 
+from sphinx_gallery.sorting import ExampleTitleSortKey, ExplicitOrder
 
 project = "GeoUtils"
 copyright = "2021, GeoUtils Developers"
@@ -62,17 +63,28 @@
     "pandas": ("https://pandas.pydata.org/docs/", None),
 }
 
+example_path = os.path.join("../", "../", "examples")
+
 sphinx_gallery_conf = {
     "examples_dirs": [
-        os.path.join(os.path.dirname(__file__), "../", "../", "examples/io"),
-        os.path.join(os.path.dirname(__file__), "../", "../", "examples/handling"),
-        os.path.join(os.path.dirname(__file__), "../", "../", "examples/analysis"),
+        os.path.join(example_path, "io"),
+        os.path.join(example_path, "handling"),
+        os.path.join(example_path, "analysis"),
     ],  # path to your example scripts
     "gallery_dirs": [
         "io_examples",
         "handling_examples",
         "analysis_examples",
     ],  # path to where to save gallery generated output
+    'subsection_order': ExplicitOrder([os.path.join(example_path, "io", "open_save"),
+                                       os.path.join(example_path, "io", "import_export"),
+                                       os.path.join(example_path, "handling", "georeferencing"),
+                                       os.path.join(example_path, "handling", "interface"),
+                                       os.path.join(example_path, "analysis", "array_numerics"),
+                                       os.path.join(example_path, "analysis", "geospatial"),
+                                       os.path.join(example_path, "analysis", "point_extraction"),
+                                       ]),
+    'within_subsection_order': ExampleTitleSortKey,
     "inspect_global_variables": True,  # Make links to the class/function definitions.
     "reference_url": {
         # The module you locally document uses None
diff --git a/doc/source/core_array_funcs.md b/doc/source/core_array_funcs.md
index 090813b52..0087be74b 100644
--- a/doc/source/core_array_funcs.md
+++ b/doc/source/core_array_funcs.md
@@ -42,29 +42,29 @@ arr = np.random.randint(0, 255, size=(3, 3), dtype="uint8")
 mask = np.random.randint(0, 2, size=(3, 3), dtype="bool")
 ma = np.ma.masked_array(data=arr, mask=mask)
 
-# Create an example Raster
-raster = gu.Raster.from_array(
-        data = ma,
-        transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),
-        crs = pyproj.CRS.from_epsg(4326),
-        nodata = 255
+# Create an example raster
+rast = gu.Raster.from_array(
+       data = ma,
+       transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),
+       crs = pyproj.CRS.from_epsg(4326),
+       nodata = 255
     )
-raster
+rast
 ```
 
 ```{code-cell} ipython3
 # Universal function with a single input and output
-np.sin(raster)
+np.sin(rast)
 ```
 
 ```{code-cell} ipython3
 # Universal function with a two inputs and single output
-np.add(arr, raster)
+np.add(arr, rast)
 ```
 
 ```{code-cell} ipython3
 # Universal function with a single input and two outputs
-np.modf(raster)
+np.modf(rast)
 ```
 
 Similar to with Python operators, NumPy's [logical comparison functions](https://numpy.org/doc/stable/reference/ufuncs.html#comparison-functions) cast
@@ -72,7 +72,7 @@ Similar to with Python operators, NumPy's [logical comparison functions](https:/
 
 ```{code-cell} ipython3
 # Universal function with a single input and two outputs
-np.greater(raster, raster + np.random.normal(size=np.shape(arr)))
+np.greater(rast, rast + np.random.normal(size=np.shape(arr)))
 ```
 
 ## Array functions
@@ -84,17 +84,17 @@ which are all other non-universal functions that can be applied to an array. Tho
 
 ```{code-cell} ipython3
 # Traditional mathematical function
-np.max(raster)
+np.max(rast)
 ```
 
 ```{code-cell} ipython3
 # Expliciting an axis for reduction
-np.count_nonzero(raster, axis=1)
+np.count_nonzero(rast, axis=1)
 ```
 
 Not all array functions are supported, however. GeoUtils supports nearly all [mathematical functions](https://numpy.org/doc/stable/reference/routines.math.html),
 [masked-array functions](https://numpy.org/doc/stable/reference/routines.ma.html) and [logical functions](https://numpy.org/doc/stable/reference/routines.logic.html).
-A full list of supported array function is available in {attr}`geoutils.raster.raster.handled_array_funcs`.
+A full list of supported array function is available in {attr}`geoutils.raster.handled_array_funcs`.
 
 ## Respecting masked values
 
@@ -105,17 +105,17 @@ There are two ways to compute statistics on {class}`Rasters<geoutils.Raster>` wh
 
 ```{code-cell} ipython3
 # Numpy core function applied to the raster
-np.median(raster)
+np.median(rast)
 ```
 
 ```{code-cell} ipython3
 # Numpy NaN function applied to the raster
-np.nanmedian(raster)
+np.nanmedian(rast)
 ```
 
 ```{code-cell} ipython3
 # Masked-array function on the data
-np.ma.median(raster.data)
+np.ma.median(rast.data)
 ```
 
 If a NumPy core function raises an error (e.g., `np.percentile`), {class}`~geoutils.Raster.nodata` values might not be respected. In this case, use the NaN
diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
index 037880ea3..b2963cb78 100644
--- a/doc/source/core_composition.md
+++ b/doc/source/core_composition.md
@@ -8,7 +8,7 @@ kernelspec:
 # Composition from Rasterio and GeoPandas
 
 GeoUtils' main classes {class}`~geoutils.Raster` and {class}`~geoutils.Vector` are linked to [Rasterio](https://rasterio.readthedocs.io/en/latest/) and
-[GeoPandas](https://geopandas.org/en/stable/docs.html), respectively, through class composition.
+[GeoPandas](https://geopandas.org/en/stable/docs.html), respectively, through [class composition](https://realpython.com/inheritance-composition-python/#whats-composition).
 
 They directly rely on their robust geospatial handling functionalities, as well of that of [PyProj](https://pyproj4.github.io/pyproj/stable/index.html), and
 add a layer on top for interfacing between rasters and vectors with higher-level operations, performing easier numerical analysis, and adding more advanced geospatial functionalities.
@@ -18,7 +18,7 @@ add a layer on top for interfacing between rasters and vectors with higher-level
 The {class}`~geoutils.Raster` is a composition class with **four main attributes**:
 
 1. a {class}`numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`,
-2. an {class}`affine.Affine` as {attr}`~geoutils.Raster.transform`
+2. an [{class}`affine.Affine`](https://rasterio.readthedocs.io/en/stable/topics/migrating-to-v1.html#affine-affine-vs-gdal-style-geotransforms) as {attr}`~geoutils.Raster.transform`,
 3. a {class}`pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`, and
 4. a {class}`float` or {class}`int` as {attr}`~geoutils.Raster.nodata`.
 
@@ -27,9 +27,10 @@ The {class}`~geoutils.Raster` is a composition class with **four main attributes
 
 import geoutils as gu
 
-# Initiate a Raster from disk
-raster = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
-raster
+# Instantiate a raster from a filename on disk
+filename_rast = gu.examples.get_path("exploradores_aster_dem")
+rast = gu.Raster(filename_rast)
+rast
 ```
 
 From these **four main attributes**, many other derivatives attributes exist, such as {attr}`~geoutils.Raster.bounds` or {attr}`~geoutils.Raster.res` to
@@ -43,7 +44,7 @@ By default, {attr}`~geoutils.Raster.data` is not loaded during instantiation. Se
 ```{code-cell} ipython3
 :tags: [hide-output]
 # Show summarized information
-print(raster.info())
+print(rast.info())
 ```
 
 ```{important}
@@ -71,18 +72,21 @@ See {ref}`raster-class` for more details.
 
 A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as {attr}`~geoutils.Vector.ds`.
 
-Because lazy loading is a lesser priority with vector data, a {class}`~geoutils.Vector` directly loads its {attr}`~geoutils.Vector.ds`.
+A {class}`~geoutils.Vector`'s dataframe {attr}`~geoutils.Vector.ds` is directly loaded in-memory 
+(might evolve towards lazy behaviour soon through [Dask-GeoPandas](https://dask-geopandas.readthedocs.io/en/stable/)).
 
 ```{code-cell} ipython3
 :tags: [hide-output]
-# Initiate a Vector from disk
-vector = gu.Vector(gu.examples.get_path("exploradores_rgi_outlines"))
-vector
+# Instantiate a vector from a filename on disk
+filename_vect = gu.examples.get_path("exploradores_rgi_outlines")
+vect = gu.Vector(filename_vect)
+vect
 ```
+
 ```{code-cell} ipython3
 :tags: [hide-output]
 # Show summarized information
-print(vector.info())
+print(vect.info())
 ```
 
 All geospatial methods of {class}`~geopandas.GeoDataFrame` are directly available into {class}`~geoutils.Vector`, and cast the output logically depending on
@@ -92,7 +96,7 @@ its type: to a {class}`~geoutils.Vector` for a geometric output (e.g., {class}`~
 ```{code-cell} ipython3
 :tags: [hide-output]
 # Compute the vector's boundary
-vector.boundary
+vect.boundary
 ```
 
 See {ref}`vector-class` for more details.
diff --git a/doc/source/core_inheritance.md b/doc/source/core_inheritance.md
index 7a60a65b7..5c10327d6 100644
--- a/doc/source/core_inheritance.md
+++ b/doc/source/core_inheritance.md
@@ -41,13 +41,15 @@ and other information.
 ```{code-cell} ipython3
 import geoutils as gu
 
-# Initiate a geo-image from an ASTER image
-geoimg = gu.SatelliteImage(gu.examples.get_path("exploradores_aster_dem"), silent=False)
+# Instantiate a geo-image from an ASTER image
+filename_geoimg = gu.examples.get_path("exploradores_aster_dem")
+geoimg = gu.SatelliteImage(filename_geoimg, silent=False)
 ```
 
 ```{code-cell} ipython3
-# Initiate a geo-image from a Landsat 7 image
-geoimg2 = gu.SatelliteImage(gu.examples.get_path("everest_landsat_b4"), silent=False)
+# Instantiate a geo-image from a Landsat 7 image
+filename_geoimg2 = gu.examples.get_path("everest_landsat_b4")
+geoimg2 = gu.SatelliteImage(filename_geoimg2, silent=False)
 ```
 
 Along these additional attributes, the {class}`~geoutils.SatelliteImage` possesses the same main attributes as a {class}`~geoutils.Raster`.
diff --git a/doc/source/core_lazy_load.md b/doc/source/core_lazy_load.md
index 72811c57e..f831eb466 100644
--- a/doc/source/core_lazy_load.md
+++ b/doc/source/core_lazy_load.md
@@ -21,23 +21,24 @@ metadata ({attr}`~geoutils.Raster.transform`, {attr}`~geoutils.Raster.crs`, {att
 
 import geoutils as gu
 
-# Initiate a Raster from disk
-raster = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+# Instantiate a raster from a filename on disk
+filename_rast = gu.examples.get_path("everest_landsat_b4")
+rast = gu.Raster(filename_rast)
 
-# This Raster is not loaded
-raster
+# This raster is not loaded
+rast
 ```
 
 To load the data explicitly during instantiation opening, `load_data=True` can be passed to {class}`~geoutils.Raster`. Or the {func}`~geoutils.Raster.load`
 method can be called after. The two are equivalent.
 
 ```{code-cell} ipython3
-# Initiate another Raster just for the purpose of loading
-raster_toload = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
-raster_toload.load()
+# Initiate another raster just for the purpose of loading
+rast_to_load = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+rast_to_load.load()
 
-# This Raster is loaded
-raster_toload
+# This raster is loaded
+rast_to_load
 ```
 
 ## Lazy passing of georeferencing metadata
@@ -50,11 +51,11 @@ always conserve the lazy loading of that match-reference object.
 
 ```{code-cell} ipython3
 # Use a smaller Raster as reference to crop the initial one
-smaller_raster = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
-raster.crop(smaller_raster)
+smaller_rast = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
+rast.crop(smaller_rast)
 
-# The reference Raster is not loaded
-smaller_raster
+# The reference raster is not loaded
+smaller_rast
 ```
 
 ## Optimized geospatial subsetting
@@ -64,10 +65,10 @@ These features are a work in progress, we aim to make GeoUtils more lazy-friendl
 package!
 ```
 
-Some georeferencing operations be done without loading the entire array Right now, relying directly on Rasterio, GeoUtils supports optimized subsetting
+Some georeferencing operations can be done without loading the entire array. Right now, relying directly on Rasterio, GeoUtils supports optimized subsetting
 through the {func}`~geoutils.Raster.crop` method.
 
 ```{code-cell} ipython3
 # The previously cropped Raster was loaded without accessing the entire array
-raster
+rast
 ```
diff --git a/doc/source/core_py_ops.md b/doc/source/core_py_ops.md
index 5cb199bda..be5d6f538 100644
--- a/doc/source/core_py_ops.md
+++ b/doc/source/core_py_ops.md
@@ -32,30 +32,30 @@ arr = np.random.randint(0, 255, size=(3, 3), dtype="uint8")
 mask = np.random.randint(0, 2, size=(3, 3), dtype="bool")
 ma = np.ma.masked_array(data=arr, mask=mask)
 
-# Create an example Raster
-raster = gu.Raster.from_array(
-        data = ma,
-        transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),
-        crs = pyproj.CRS.from_epsg(4326),
-        nodata = 255
+# Create an example raster
+rast = gu.Raster.from_array(
+       data = ma,
+       transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),
+       crs = pyproj.CRS.from_epsg(4326),
+       nodata = 255
     )
 
-raster
+rast
 ```
 
 ```{code-cell} ipython3
 # Arithmetic with a number
-raster + 1
+rast + 1
 ```
 
 ```{code-cell} ipython3
 # Arithmetic with an array
-raster / arr
+rast / arr
 
 ```
 ```{code-cell} ipython3
 # Arithmetic with a raster
-raster - (raster**0.5)
+rast - (rast**0.5)
 ```
 
 If an unmasked {class}`~numpy.ndarray` is passed, it will internally be cast into a {class}`~numpy.ma.MaskedArray` to respect the propagation of
@@ -73,7 +73,7 @@ as {class}`~geoutils.Raster.data`.
 
 ```{code-cell} ipython3
 # Logical comparison with a number
-mask = raster > 100
+mask = rast > 100
 mask
 ```
 
@@ -89,7 +89,7 @@ combine a {class}`~geoutils.Mask` with another {class}`~geoutils.Mask`, and alwa
 
 ```{code-cell} ipython3
 # Logical bitwise operation between masks
-mask = (raster > 100) & ((raster % 2) == 0)
+mask = (rast > 100) & ((rast % 2) == 0)
 mask
 ```
 
@@ -109,5 +109,5 @@ behaviour, simply index without the mask using {attr}`Mask.data.data`.
 
 ```{code-cell} ipython3
 # Indexing the raster with the previous mask
-raster[mask]
+rast[mask]
 ```
diff --git a/doc/source/mask_class.md b/doc/source/mask_class.md
index dc97c6f07..c53b3e07b 100644
--- a/doc/source/mask_class.md
+++ b/doc/source/mask_class.md
@@ -14,7 +14,7 @@ Below, a summary of the {class}`~geoutils.Mask` object and its methods.
 A {class}`~geoutils.Mask` is a subclass of {class}`~geoutils.Raster` that contains **three main attributes**:
 
 1. a {class}`numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data` of {class}`~numpy.boolean` {class}`~numpy.dtype`,
-2. an {class}`affine.Affine` as {attr}`~geoutils.Raster.transform`, and
+2. an [{class}`affine.Affine`](https://rasterio.readthedocs.io/en/stable/topics/migrating-to-v1.html#affine-affine-vs-gdal-style-geotransforms) as {attr}`~geoutils.Raster.transform`, and
 3. a {class}`pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`.
 
 A {class}`~geoutils.Mask` also inherits the same derivative attributes as a {class}`~geoutils.Raster`.
@@ -42,8 +42,9 @@ On opening, all data will be forced to a {class}`bool` {class}`numpy.dtype`.
 ```{code-cell} ipython3
 import geoutils as gu
 
-# Initiate a raster from disk
-mask = gu.Mask(gu.examples.get_path("exploradores_aster_dem"), load_data=True)
+# Instantiate a mask from a filename on disk
+filename_mask = gu.examples.get_path("exploradores_aster_dem")
+mask = gu.Mask(filename_mask, load_data=True)
 mask
 ```
 
@@ -53,11 +54,12 @@ mask
 {class}`~geoutils.Raster`, a {class}`~numpy.ndarray` or a number.
 
 ```{code-cell} ipython3
-# Initiate a raster from disk
-raster = gu.Raster(gu.examples.get_path("exploradores_aster_dem"), load_data=True)
+# Instantiate a raster from disk
+filename_rast = gu.examples.get_path("exploradores_aster_dem")
+rast = gu.Raster(filename_rast, load_data=True)
 
 # Which pixels are below 1500 m?
-raster < 1500
+rast < 1500
 ```
 
 See {ref}`core-py-ops` for more details.
@@ -111,10 +113,11 @@ Georeferencing attributes to create the {class}`~geoutils.Mask` can also be pass
 
 ```{code-cell} ipython3
 # Open a vector of glacier outlines
-vector = gu.Vector(gu.examples.get_path("exploradores_rgi_outlines"))
+filename_vect = gu.examples.get_path("exploradores_rgi_outlines")
+vect = gu.Vector(filename_vect)
 
 # Create mask using the raster as reference to match for bounds, resolution and projection
-mask_outlines = vector.create_mask(raster)
+mask_outlines = vect.create_mask(rast)
 mask_outlines
 ```
 
@@ -142,7 +145,7 @@ When indexing, a flattened {class}`~numpy.ma.MaskedArray` is returned with the i
 
 ```{code-cell} ipython3
 # Index raster values on mask
-raster[mask_outlines]
+rast[mask_outlines]
 ```
 
 See {ref}`py-ops-indexing` for more details.
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index 8acedf327..f56f5b26b 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -25,7 +25,7 @@ import geoutils as gu
 filename_rast = gu.examples.get_path("everest_landsat_b4")
 filename_vect = gu.examples.get_path("everest_rgi_outlines")
 
-# Open files
+# Open files by instantiating Raster and Vector
 rast = gu.Raster(filename_rast)
 vect = gu.Vector(filename_vect)
 ```
@@ -51,7 +51,6 @@ A {class}`~geoutils.Vector` is a composition class with a single main attribute:
 most methods are wrapped directly into {class}`~geoutils.Vector`.
 
 ```{code-cell} ipython3
-:tags: [hide-output]
 # The opened vector
 vect
 ```
@@ -70,11 +69,12 @@ For convenience and consistency, nearly all of these methods can be passed solel
 
 
 ```{code-cell} ipython3
-:tags: [hide-output]
+# Print initial bounds of the raster
+print(rast.bounds)
 # Crop raster to vector's extent
 rast.crop(vect)
-# Print info of cropped raster
-print(rast.info())
+# Print bounds of cropped raster
+print(rast.bounds)
 ```
 
 ```{margin}
@@ -105,7 +105,7 @@ and the other way around for {func}`~geoutils.Vector.rasterize`.
      - {func}`~geoutils.Vector.rasterize`
 ```
 
-All methods can be also be passed any number of georeferencing arguments such as {attr}`~geoutils.Raster.shape` or {attr}`~geoutils.Raster.res`, and will
+All methods can also be passed any number of georeferencing arguments such as {attr}`~geoutils.Raster.shape` or {attr}`~geoutils.Raster.res`, and will
 naturally deduce others from the input {class}`~geoutils.Raster` or {class}`~geoutils.Vector`, much as in [GDAL](https://gdal.org/)'s command line.
 
 
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index 48a33129a..a936742ec 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -16,7 +16,7 @@ Below, a summary of the {class}`~geoutils.Raster` object and its methods.
 A {class}`~geoutils.Raster` contains **four main attributes**:
 
 1. a {class}`numpy.ma.MaskedArray` as {attr}`~geoutils.Raster.data`, of either {class}`~numpy.integer` or {class}`~numpy.floating` {class}`~numpy.dtype`,
-2. an {class}`affine.Affine` as {attr}`~geoutils.Raster.transform`,
+2. an [{class}`affine.Affine`](https://rasterio.readthedocs.io/en/stable/topics/migrating-to-v1.html#affine-affine-vs-gdal-style-geotransforms) as {attr}`~geoutils.Raster.transform`,
 3. a {class}`pyproj.crs.CRS` as {attr}`~geoutils.Raster.crs`, and
 4. a {class}`float` or {class}`int` as {attr}`~geoutils.Raster.nodata`.
 
@@ -58,16 +58,17 @@ A {class}`~geoutils.Raster` is opened by instantiating with either a {class}`str
 ```{code-cell} ipython3
 import geoutils as gu
 
-# Initiate a raster from disk
-raster = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
-raster
+# Instantiate a raster from a filename on disk
+filename_rast = gu.examples.get_path("exploradores_aster_dem")
+rast = gu.Raster(filename_rast)
+rast
 ```
 
 Detailed information on the {class}`~geoutils.Raster` is printed using {func}`~geoutils.Raster.info`, along with basic statistics using `stats=True`:
 
 ```{code-cell} ipython3
 # Print details of raster
-print(raster.info(stats=True))
+print(rast.info(stats=True))
 ```
 
 ```{note}
@@ -78,7 +79,7 @@ A {class}`~geoutils.Raster` is saved to file by calling {func}`~geoutils.Raster.
 
 ```{code-cell} ipython3
 # Save raster to disk
-raster.save("myraster.tif")
+rast.save("myraster.tif")
 ```
 ```{code-cell} ipython3
 :tags: [remove-cell]
@@ -102,14 +103,14 @@ arr = np.random.randint(0, 255, size=(3, 3), dtype="uint8")
 mask = np.random.randint(0, 2, size=(3, 3), dtype="bool")
 ma = np.ma.masked_array(data=arr, mask=mask)
 
-# Create a Raster from array
-raster = gu.Raster.from_array(
-        data = ma,
-        transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),
-        crs = pyproj.CRS.from_epsg(4326),
-        nodata = 255
+# Create a raster from array
+rast = gu.Raster.from_array(
+       data = ma,
+       transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3),
+       crs = pyproj.CRS.from_epsg(4326),
+       nodata = 255
     )
-raster
+rast
 ```
 
 ```{important}
@@ -124,7 +125,7 @@ The array of a {class}`~geoutils.Raster` is available in {class}`~geoutils.Raste
 
 ```{code-cell} ipython3
 # Get raster's masked-array
-raster.data
+rast.data
 ```
 
 For those less familiar with {class}`MaskedArrays<numpy.ma.MaskedArray>` and the associated functions in NumPy, an unmasked {class}`~numpy.ndarray` filled with
@@ -132,7 +133,7 @@ For those less familiar with {class}`MaskedArrays<numpy.ma.MaskedArray>` and the
 
 ```{code-cell} ipython3
 # Get raster's nan-array
-raster.get_nanarray()
+rast.get_nanarray()
 ```
 
 ```{important}
@@ -153,7 +154,7 @@ A {class}`~geoutils.Raster` can be applied any pythonic arithmetic operation ({f
 
 ```{code-cell} ipython3
 # Add 1 and divide raster by 2
-(raster + 1)/2
+(rast + 1)/2
 ```
 
 A {class}`~geoutils.Raster` can also be applied any pythonic logical comparison operation ({func}`==<operator.eq>`, {func}` != <operator.ne>`, {func}`>=<operator.ge>`, {func}`><operator.gt>`, {func}`<=<operator.le>`,
@@ -161,7 +162,7 @@ A {class}`~geoutils.Raster` can also be applied any pythonic logical comparison
 
 ```{code-cell} ipython3
 # What raster pixels are less than 100?
-raster < 100
+rast < 100
 ```
 
 See {ref}`core-py-ops` for more details.
@@ -172,8 +173,8 @@ A {class}`~geoutils.Raster` can be applied any NumPy universal functions and mos
 {class}`~geoutils.Raster`, {class}`~numpy.ndarray` or number.
 
 ```{code-cell} ipython3
-# Compute the element-wise sqrt
-np.sqrt(raster)
+# Compute the element-wise square-root
+np.sqrt(rast)
 ```
 
 Logical comparison functions will cast to a {class}`~geoutils.Mask`.
@@ -181,7 +182,7 @@ Logical comparison functions will cast to a {class}`~geoutils.Mask`.
 ```{code-cell} ipython3
 # Is the raster close to another within tolerance?
 
-np.isclose(raster, raster+0.05, atol=0.1)
+np.isclose(rast, rast+0.05, atol=0.1)
 ```
 
 See {ref}`core-array-funcs` for more details.
@@ -193,8 +194,8 @@ and/or
 {class}`~geoutils.Raster.crs`.
 
 ```{important}
-As with all geospatial handling methods, the {func}`~geoutils.Raster.reproject` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.
-Vector` as argument.
+As with all geospatial handling methods, the {func}`~geoutils.Raster.reproject` function can be passed a {class}`~geoutils.Raster` or {class}`~geoutils.
+Vector` as a reference to match. In that case, no other argument is necessary.
 
 A {class}`~geoutils.Raster` reference will enforce to match its {attr}`~geoutils.Raster.transform` and {class}`~geoutils.Raster.crs`.
 A {class}`~geoutils.Vector` reference will enforce to match its {attr}`~geoutils.Vector.bounds` and {class}`~geoutils.Vector.crs`.
@@ -207,23 +208,23 @@ attributes. For more details, see the {ref}`specific section and function descri
 
 ```{code-cell} ipython3
 # Original bounds and resolution
-print(raster.res)
-print(raster.bounds)
+print(rast.res)
+print(rast.bounds)
 ```
 
 ```{code-cell} ipython3
 # Reproject to smaller bounds and higher resolution
-raster_reproj = raster.reproject(
+rast_reproj = rast.reproject(
     dst_res=0.1,
     dst_bounds={"left": 0, "bottom": 0, "right": 0.75, "top": 0.75},
     resampling="cubic")
-raster_reproj
+rast_reproj
 ```
 
 ```{code-cell} ipython3
 # New bounds and resolution
-print(raster.res)
-print(raster.bounds)
+print(rast.res)
+print(rast.bounds)
 ```
 
 ```{note}
@@ -239,7 +240,7 @@ Cropping a {class}`~geoutils.Raster` is done through the {func}`~geoutils.Raster
 
 ```{important}
 As with all geospatial handling methods, the {func}`~geoutils.Raster.crop` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.Vector`
-as argument.
+as a reference to match. In that case, no other argument is necessary.
 
 See {ref}`core-match-ref` for more details.
 ```
@@ -250,8 +251,8 @@ For more details, see the {ref}`specific section and function descriptions in th
 
 ```{code-cell} ipython3
 # Crop raster to smaller bounds
-raster_crop = raster.crop(crop_geom=(0.3, 0.3, 1, 1), inplace=False)
-raster_crop
+rast_crop = rast.crop(crop_geom=(0.3, 0.3, 1, 1), inplace=False)
+print(rast_crop.bounds)
 ```
 
 ## Polygonize
@@ -266,8 +267,8 @@ For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.polygonize` implicitly ta
 
 ```{code-cell} ipython3
 # Polygonize all values lower than 100
-vector_lt_100 = (raster < 100).polygonize()
-vector_lt_100
+vect_lt_100 = (rast < 100).polygonize()
+vect_lt_100
 ```
 
 ## Proximity
@@ -282,34 +283,34 @@ For a {class}`~geoutils.Mask`, {func}`~geoutils.Raster.proximity` implicitly tar
 
 ```{code-cell} ipython3
 # Compute proximity from mask for all values lower than 100
-proximity_lt_100 = (raster < 100).proximity()
-proximity_lt_100
+prox_lt_100 = (rast < 100).proximity()
+prox_lt_100
 ```
 
 Optionally, instead of target pixel values, a {class}`~geoutils.Vector` can be passed to compute the proximity from the geometry.
 
 ```{code-cell} ipython3
 # Compute proximity from mask for all values lower than 100
-proximity_lt_100_from_vector = raster.proximity(vector=vector_lt_100)
-proximity_lt_100_from_vector
+prox_lt_100_from_vect = rast.proximity(vector=vect_lt_100)
+prox_lt_100_from_vect
 ```
 
 ## Interpolate or extract to point
 
 Interpolating or extracting {class}`~geoutils.Raster` values at specific points can be done through:
-- the {func}`~geoutils.Raster.value_at_coords` function, who extracts the single closest pixel or a surrounding window for each coordinate, on which
+- the {func}`~geoutils.Raster.value_at_coords` function, that extracts the single closest pixel or a surrounding window for each coordinate, on which
   can be applied reducing any function ({func}`numpy.ma.mean` by default), or
-- the {func}`~geoutils.Raster.interp_points` function, who interpolates the {class}`~geoutils.Raster`'s regular grid to each coordinate using a
+- the {func}`~geoutils.Raster.interp_points` function, that interpolates the {class}`~geoutils.Raster`'s regular grid to each coordinate using a
   resampling algorithm.
 
 ```{code-cell} ipython3
 # Extract median value in a 3 x 3 pixel window
-raster_reproj.value_at_coords(x=0.5, y=0.5, reducer_function=np.ma.median)
+rast_reproj.value_at_coords(x=0.5, y=0.5, window=3, reducer_function=np.ma.median)
 ```
 
 ```{code-cell} ipython3
 # Interpolate coordinate value with quintic algorithm
-raster_reproj.interp_points([(0.5, 0.5)], mode="quintic")
+rast_reproj.interp_points([(0.5, 0.5)], mode="quintic")
 ```
 
 ```{note}
@@ -328,10 +329,15 @@ Those include exporting to:
 
 ```{code-cell} ipython3
 # Export to rasterio dataset-reader through a memoryfile
-raster_reproj.to_rio_dataset()
+rast_reproj.to_rio_dataset()
 ```
 
 ```{code-cell} ipython3
 # Export to geopandas dataframe
-raster_reproj.to_points()
+rast_reproj.to_points()
+```
+
+```{code-cell} ipython3
+# Export to xarray data array
+rast_reproj.to_xarray()
 ```
diff --git a/doc/source/satimg_class.md b/doc/source/satimg_class.md
index aa6f41a30..03d093c02 100644
--- a/doc/source/satimg_class.md
+++ b/doc/source/satimg_class.md
@@ -13,7 +13,7 @@ Below, a summary of the {class}`~geoutils.SatelliteImage` object and its methods
 
 A {class}`~geoutils.SatelliteImage` is a subclass of {class}`~geoutils.Raster` that contains all its main attributes, and retains additional ones:
 - a {class}`numpy.datetime64` as {class}`~geoutils.SatelliteImage.datetime`, and
-- several {class}`strings<str>` for`~geoutils.SatelliteImage.satellite`,  {class}`~geoutils.SatelliteImage.sensor`, {class}`~geoutils.SatelliteImage. version`, {class}`~geoutils.SatelliteImage.tile_name` and {class}`~geoutils.SatelliteImage.product`.
+- several {class}`strings<str>` for {class}`~geoutils.SatelliteImage.satellite`,  {class}`~geoutils.SatelliteImage.sensor`, {class}`~geoutils.SatelliteImage.version`, {class}`~geoutils.SatelliteImage.tile_name` and {class}`~geoutils.SatelliteImage.product`.
 
 A {class}`~geoutils.SatelliteImage` also inherits the same derivative attributes as a {class}`~geoutils.Raster`.
 
@@ -39,13 +39,15 @@ For tiled products such as SRTM, the tile naming is also retrieved, which can be
 ```{code-cell} ipython3
 import geoutils as gu
 
-# Initiate a geo-image from an ASTER image
-geoimg = gu.SatelliteImage(gu.examples.get_path("exploradores_aster_dem"), silent=False)
+# Instantiate a geo-image from an ASTER image
+filename_geoimg = gu.examples.get_path("exploradores_aster_dem")
+geoimg = gu.SatelliteImage(filename_geoimg, silent=False)
 ```
 
 ```{code-cell} ipython3
-# Initiate a geo-image from a Landsat 7 image
-geoimg2 = gu.SatelliteImage(gu.examples.get_path("everest_landsat_b4"), silent=False)
+# Instantiate a geo-image from a Landsat 7 image
+filename_geoimg2 = gu.examples.get_path("everest_landsat_b4")
+geoimg2 = gu.SatelliteImage(filename_geoimg2, silent=False)
 ```
 
 ```{important}
diff --git a/doc/source/vector_class.md b/doc/source/vector_class.md
index c16e3c156..1073286b1 100644
--- a/doc/source/vector_class.md
+++ b/doc/source/vector_class.md
@@ -39,8 +39,9 @@ a {class}`geopandas.GeoSeries` or a {class}`shapely.Geometry`.
 
 import geoutils as gu
 
-# Initiate a vector from disk
-vect = gu.Vector(gu.examples.get_path("exploradores_rgi_outlines"))
+# Instantiate a vector from disk
+filename_vect = gu.examples.get_path("exploradores_rgi_outlines")
+vect = gu.Vector(filename_vect)
 vect
 ```
 
@@ -115,7 +116,9 @@ vect.to_json()
 Reprojecting a {class}`~geoutils.Vector` is done through the {func}`~geoutils.Vector.reproject` function, which enforces a new {attr}`~geoutils.Vector.crs`.
 
 ```{important}
-As with all geospatial handling methods, the {func}`~geoutils.Vector.reproject` function can be passed only a {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as argument to match its {class}`~geoutils.Raster.crs`.
+As with all geospatial handling methods, the {func}`~geoutils.Vector.reproject` function can be passed a 
+{class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a reference to match its {class}`~geoutils.Raster.crs`.
+In that case, no other argument is necessary.
 
 See {ref}`core-match-ref` for more details.
 ```
@@ -129,7 +132,8 @@ print(vect.crs)
 
 ```{code-cell} ipython3
 # Open a raster for which we want to match the CRS
-rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+filename_rast = gu.examples.get_path("exploradores_aster_dem")
+rast = gu.Raster(filename_rast)
 # Reproject the vector to the raster's CRS
 vect_reproj = vect.reproject(rast)
 # New CRS
@@ -146,8 +150,8 @@ Cropping a {class}`~geoutils.Vector` is done through the {func}`~geoutils.Vector
 
 
 ```{important}
-As with all geospatial handling methods, the {func}`~geoutils.Vector.crop` function can be passed only a {class}`~geoutils.Raster` or
-{class}`~geoutils.Vector` as argument.
+As with all geospatial handling methods, the {func}`~geoutils.Vector.crop` function can be passed a {class}`~geoutils.Raster` or
+{class}`~geoutils.Vector` as a reference to match. In that case, no other argument is necessary.
 
 See {ref}`core-match-ref` for more details.
 ```
diff --git a/examples/analysis/array_numerics/numpy_interfacing.py b/examples/analysis/array_numerics/numpy_interfacing.py
index 889ca6ef0..6b07d2429 100644
--- a/examples/analysis/array_numerics/numpy_interfacing.py
+++ b/examples/analysis/array_numerics/numpy_interfacing.py
@@ -10,7 +10,8 @@
 # sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
-rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+filename_rast = gu.examples.get_path("exploradores_aster_dem")
+rast = gu.Raster(filename_rast)
 
 # %% We plot it.
 rast.show(cmap="terrain")
diff --git a/examples/analysis/array_numerics/python_arithmetic.py b/examples/analysis/array_numerics/python_arithmetic.py
index 4cab61f31..42312222d 100644
--- a/examples/analysis/array_numerics/python_arithmetic.py
+++ b/examples/analysis/array_numerics/python_arithmetic.py
@@ -10,7 +10,8 @@
 # sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
-rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+filename_rast = gu.examples.get_path("everest_landsat_b4")
+rast = gu.Raster(filename_rast)
 rast
 
 # %% We plot the original raster.
diff --git a/examples/analysis/geospatial/buffer_voronoi.py b/examples/analysis/geospatial/buffer_voronoi.py
index 009e555fe..c5dd866ea 100644
--- a/examples/analysis/geospatial/buffer_voronoi.py
+++ b/examples/analysis/geospatial/buffer_voronoi.py
@@ -10,7 +10,8 @@
 # sphinx_gallery_thumbnail_number = 3
 import geoutils as gu
 
-vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+filename_vect = gu.examples.get_path("everest_rgi_outlines")
+vect = gu.Vector(filename_vect)
 
 # %%
 # We buffer in metric units directly using :func:`~geoutils.Vector.buffer_metric`. Under the hood, this functionality reprojects to a local projection,
@@ -19,20 +20,17 @@
 
 # %%
 # Let's plot the raster and vector
-ax = vect.ds.plot()
-vect_buff.ds.plot(ax=ax, ec="k", fc="none")
+ax = vect.show()
+vect_buff.show(ec="k", fc="none")
 
 # %%
 # Many buffers are overlapping. To compute a buffer without overlap, one can use :func:`~geoutils.Vector.buffer_without_overlap`.
 #
 vect_buff_nolap = vect.buffer_without_overlap(buffer_size=500)
-ax = vect_buff_nolap.ds.plot()
-vect.ds.plot(ax=ax, ec="k", fc="none")
+vect.show(ax="new")
+vect_buff_nolap.show(ec="k", fc="none")
 
 # %%
 # We plot with color to see that the attributes are retained for every feature.
-import matplotlib.pyplot as plt
-
-ax = vect_buff_nolap.ds.plot(column="RGIId")
-vect.ds.plot(ax=ax, ec="k", column="RGIId", alpha=0.5)
-plt.show()
+vect_buff_nolap.show(ax="new", column="Area")
+vect.show(ec="k", column="Area", alpha=0.5)
diff --git a/examples/analysis/geospatial/proximity_metric.py b/examples/analysis/geospatial/proximity_metric.py
index c2c727f2c..ee662d4b2 100644
--- a/examples/analysis/geospatial/proximity_metric.py
+++ b/examples/analysis/geospatial/proximity_metric.py
@@ -10,17 +10,16 @@
 # sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
-rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
-vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
-vect = gu.Vector(vect.ds[vect.ds["RGIId"] == "RGI60-15.10055"])
+filename_rast = gu.examples.get_path("everest_landsat_b4")
+filename_vect = gu.examples.get_path("everest_rgi_outlines")
+rast = gu.Raster(filename_rast)
+vect = gu.Vector(filename_vect)
+vect = vect[vect["RGIId"] == "RGI60-15.10055"]
 rast.crop(vect)
 
 # Plot the raster and vector
-import matplotlib.pyplot as plt
-
-ax = plt.gca()
-rast.show(ax=ax, cmap="Blues")
-vect.reproject(rast).ds.plot(ax=ax, fc="none", ec="k", lw=2)
+rast.show(cmap="Blues")
+vect.reproject(rast).show(fc="none", ec="k", lw=2)
 
 # %%
 # We use the raster as a reference to match for rasterizing the proximity distances with :func:`~geoutils.Vector.proximity`. See :ref:`core-match-ref` for more details.
diff --git a/examples/analysis/point_extraction/interpolation.py b/examples/analysis/point_extraction/interpolation.py
index 83823f5ef..9d7805721 100644
--- a/examples/analysis/point_extraction/interpolation.py
+++ b/examples/analysis/point_extraction/interpolation.py
@@ -5,19 +5,20 @@
 This example demonstrates raster interpolation to point values using :func:`~geoutils.Raster.interp_points`.
 """
 # %%
-# We open an example raster, a digital elevation model in South America
+# We open an example raster, a digital elevation model in South America.
 
 # sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
-rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+filename_rast = gu.examples.get_path("exploradores_aster_dem")
+rast = gu.Raster(filename_rast)
 rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left + 2000, rast.bounds.bottom + 2000])
 
 # Plot the raster
 rast.show(cmap="terrain")
 
 # %%
-# We generate a random subsample of 100 points to interpolate, and extract the coordinates
+# We generate a random subsample of 100 points to interpolate, and extract the coordinates.
 
 import geopandas as gpd
 import numpy as np
diff --git a/examples/analysis/point_extraction/reduction.py b/examples/analysis/point_extraction/reduction.py
index fa4b3d543..eb01f51f1 100644
--- a/examples/analysis/point_extraction/reduction.py
+++ b/examples/analysis/point_extraction/reduction.py
@@ -5,19 +5,20 @@
 This example demonstrates raster reduction to point values using :func:`~geoutils.Raster.value_at_coords`.
 """
 # %%
-# We open an example raster, a digital elevation model in South America
+# We open an example raster, a digital elevation model in South America.
 
 # sphinx_gallery_thumbnail_number = 3
 import geoutils as gu
 
-rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+filename_rast = gu.examples.get_path("exploradores_aster_dem")
+rast = gu.Raster(filename_rast)
 rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left + 2000, rast.bounds.bottom + 2000])
 
 # Plot the raster
 rast.show(cmap="terrain")
 
 # %%
-# We generate a random subsample of 100 coordinates to extract
+# We generate a random subsample of 100 coordinates to extract.
 
 import geopandas as gpd
 import numpy as np
@@ -45,7 +46,7 @@
 
 # %%
 # The mean difference in extracted values is quite significant at 0.3 meters!
-# We can visualize how the sampling took place in window
+# We can visualize how the sampling took place in window.
 
 # Replace by Vector fonction once done
 coords = rast.coords(grid=True)
diff --git a/examples/handling/georeferencing/crop_raster.py b/examples/handling/georeferencing/crop_raster.py
index 61a32e40c..84aa9983e 100644
--- a/examples/handling/georeferencing/crop_raster.py
+++ b/examples/handling/georeferencing/crop_raster.py
@@ -10,24 +10,24 @@
 # sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
-rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
-vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
-vect = gu.Vector(vect.ds[vect.ds["RGIId"] == "RGI60-15.10055"])
+filename_rast = gu.examples.get_path("everest_landsat_b4")
+filename_vect = gu.examples.get_path("everest_rgi_outlines")
+rast = gu.Raster(filename_rast)
+vect = gu.Vector(filename_vect)
+vect = vect[vect["RGIId"] == "RGI60-15.10055"]
 
 # %%
-# The first raster has larger extent and higher resolution than the second one.
+# The first raster has larger extent and higher resolution than the vector.
 print(rast.info())
 print(vect.bounds)
 
 # %%
 # Let's plot the raster and vector.
-import matplotlib.pyplot as plt
-
 rast.show(cmap="Purples")
 vect.show(ref_crs=rast, fc="none", ec="k", lw=2)
 
 # %%
-# **First option:** using the second raster as a reference to match, we reproject the first one. We simply have to pass the second :class:`~geoutils.Raster`
+# **First option:** using the vector as a reference to match, we reproject the raster. We simply have to pass the :class:`~geoutils.Vector`
 # as single argument to :func:`~geoutils.Raster.crop`. See :ref:`core-match-ref` for more details.
 
 rast.crop(vect)
@@ -44,7 +44,7 @@
 
 # %%
 # **Second option:** we can pass other ``crop_geom`` argument to :func:`~geoutils.Raster.crop`, including another :class:`~geoutils.Raster` or a
-# simple :class:`tuple` of bounds.
+# simple :class:`tuple` of bounds. For instance, we can re-crop the raster to be smaller than the vector.
 
 rast.crop((rast.bounds.left + 1000, rast.bounds.bottom, rast.bounds.right, rast.bounds.top - 500))
 
diff --git a/examples/handling/georeferencing/crop_vector.py b/examples/handling/georeferencing/crop_vector.py
index 043cc1e5d..6c67b3771 100644
--- a/examples/handling/georeferencing/crop_vector.py
+++ b/examples/handling/georeferencing/crop_vector.py
@@ -10,8 +10,10 @@
 # sphinx_gallery_thumbnail_number = 3
 import geoutils as gu
 
-rast = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
-vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+filename_rast = gu.examples.get_path("everest_landsat_b4_cropped")
+filename_vect = gu.examples.get_path("everest_rgi_outlines")
+rast = gu.Raster(filename_rast)
+vect = gu.Vector(filename_vect)
 
 # %%
 # Let's plot the raster and vector. The raster has smaller extent than the vector.
diff --git a/examples/handling/georeferencing/reproj_raster.py b/examples/handling/georeferencing/reproj_raster.py
index 2bec585b8..2e81a291e 100644
--- a/examples/handling/georeferencing/reproj_raster.py
+++ b/examples/handling/georeferencing/reproj_raster.py
@@ -9,8 +9,10 @@
 
 import geoutils as gu
 
-rast1 = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
-rast2 = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
+filename_rast1 = gu.examples.get_path("everest_landsat_b4")
+filename_rast2 = gu.examples.get_path("everest_landsat_b4_cropped")
+rast1 = gu.Raster(filename_rast1)
+rast2 = gu.Raster(filename_rast2)
 
 # %%
 # The first raster has larger extent and higher resolution than the second one.
diff --git a/examples/handling/georeferencing/reproj_vector.py b/examples/handling/georeferencing/reproj_vector.py
index 82fdcfd33..3465f4a83 100644
--- a/examples/handling/georeferencing/reproj_vector.py
+++ b/examples/handling/georeferencing/reproj_vector.py
@@ -10,8 +10,10 @@
 # sphinx_gallery_thumbnail_number = 3
 import geoutils as gu
 
-rast = gu.Raster(gu.examples.get_path("everest_landsat_b4_cropped"))
-vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+filename_rast = gu.examples.get_path("everest_landsat_b4_cropped")
+filename_vect = gu.examples.get_path("everest_rgi_outlines")
+rast = gu.Raster(filename_rast)
+vect = gu.Vector(filename_vect)
 
 # %%
 # The two objects are in different projections.
@@ -20,8 +22,6 @@
 
 # %%
 # Let's plot the two in their original projection.
-import matplotlib.pyplot as plt
-
 rast.show(cmap="Greys_r")
 vect.show(ax="new", fc="none", ec="tab:purple", lw=3)
 
diff --git a/examples/handling/interface/create_mask.py b/examples/handling/interface/create_mask.py
index bce36f9ec..af7844fe0 100644
--- a/examples/handling/interface/create_mask.py
+++ b/examples/handling/interface/create_mask.py
@@ -10,8 +10,10 @@
 # sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
-rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
-vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+filename_rast = gu.examples.get_path("everest_landsat_b4")
+filename_vect = gu.examples.get_path("everest_rgi_outlines")
+rast = gu.Raster(filename_rast)
+vect = gu.Vector(filename_vect)
 
 # %%
 # Let's plot the raster and vector.
diff --git a/examples/handling/interface/polygonize.py b/examples/handling/interface/polygonize.py
index aa00a999b..c966eee9e 100644
--- a/examples/handling/interface/polygonize.py
+++ b/examples/handling/interface/polygonize.py
@@ -10,7 +10,8 @@
 # sphinx_gallery_thumbnail_number = 3
 import geoutils as gu
 
-rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+filename_rast = gu.examples.get_path("exploradores_aster_dem")
+rast = gu.Raster(filename_rast)
 rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left + 5000, rast.bounds.bottom + 5000])
 # %%
 # Let's plot the raster.
diff --git a/examples/handling/interface/rasterize.py b/examples/handling/interface/rasterize.py
index 2ace9f6f3..3ce5f93f5 100644
--- a/examples/handling/interface/rasterize.py
+++ b/examples/handling/interface/rasterize.py
@@ -10,8 +10,10 @@
 # sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
-rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
-vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+filename_rast = gu.examples.get_path("everest_landsat_b4")
+filename_vect = gu.examples.get_path("everest_rgi_outlines")
+rast = gu.Raster(filename_rast)
+vect = gu.Vector(filename_vect)
 
 # %%
 # Let's plot the raster and vector.
diff --git a/examples/handling/interface/topoints.py b/examples/handling/interface/topoints.py
index 1a95e8e61..09ef85f65 100644
--- a/examples/handling/interface/topoints.py
+++ b/examples/handling/interface/topoints.py
@@ -10,8 +10,10 @@
 # sphinx_gallery_thumbnail_number = 2
 import geoutils as gu
 
-rast = gu.Raster(gu.examples.get_path("exploradores_aster_dem"))
+filename_rast = gu.examples.get_path("exploradores_aster_dem")
+rast = gu.Raster(filename_rast)
 rast.crop([rast.bounds.left, rast.bounds.bottom, rast.bounds.left + 500, rast.bounds.bottom + 500])
+
 # %%
 # Let's plot the raster.
 rast.show(cmap="terrain")
diff --git a/examples/io/import_export/from_array.py b/examples/io/import_export/from_array.py
index 5e58c415f..6a4aa617a 100644
--- a/examples/io/import_export/from_array.py
+++ b/examples/io/import_export/from_array.py
@@ -16,6 +16,8 @@
 # A random 3 x 3 masked array
 np.random.seed(42)
 arr = np.random.normal(size=(5, 5))
+# Introduce a NaN value
+arr[2, 2] = np.nan
 # A transform with 3 x 3 pixels in a [0-1, 0-1] bound square
 transform = rio.transform.from_bounds(0, 0, 1, 1, 3, 3)
 # A CRS, here geographic (latitude/longitude)
diff --git a/examples/io/import_export/import_raster.py b/examples/io/import_export/import_raster.py
index 034194507..bfe87da05 100644
--- a/examples/io/import_export/import_raster.py
+++ b/examples/io/import_export/import_raster.py
@@ -12,7 +12,8 @@
 # A raster can be imported from a :class:`rasterio.io.DatasetReader` or :class:`rasterio.io.MemoryFile` simply by instantiating :class:`~geoutils.Raster`.
 import geoutils as gu
 
-ds = rio.DatasetReader(gu.examples.get_path("exploradores_aster_dem"))
+filename_rast = gu.examples.get_path("exploradores_aster_dem")
+ds = rio.DatasetReader(filename_rast)
 rast = gu.Raster(ds)
 rast
 
@@ -24,7 +25,7 @@
 # %%
 # We can also pass a :class:`rasterio.io.MemoryFile` during instantiation.
 
-mem = rio.MemoryFile(open(gu.examples.get_path("exploradores_aster_dem"), "rb"))
+mem = rio.MemoryFile(open(filename_rast, "rb"))
 rast = gu.Raster(mem)
 rast
 
diff --git a/examples/io/import_export/import_vector.py b/examples/io/import_export/import_vector.py
index af5a6e185..4a76c0a95 100644
--- a/examples/io/import_export/import_vector.py
+++ b/examples/io/import_export/import_vector.py
@@ -12,7 +12,8 @@
 
 import geoutils as gu
 
-ds = gpd.read_file(gu.examples.get_path("exploradores_rgi_outlines"))
+filename_vect = gu.examples.get_path("exploradores_rgi_outlines")
+ds = gpd.read_file(filename_vect)
 vect = gu.Vector(ds)
 vect
 
diff --git a/examples/io/open_save/read_raster.py b/examples/io/open_save/read_raster.py
index f0fb45b69..945f3e61a 100644
--- a/examples/io/open_save/read_raster.py
+++ b/examples/io/open_save/read_raster.py
@@ -9,9 +9,15 @@
 # We open an example raster. The data is, by default, unloaded.
 import geoutils as gu
 
-rast = gu.Raster(gu.examples.get_path("everest_landsat_b4"))
+filename_rast = gu.examples.get_path("everest_landsat_b4")
+rast = gu.Raster(filename_rast)
 rast
 
+# %%
+# A raster is composed of four main attributes: a :class:`~geoutils.Raster.data` array, an affine :class:`~geoutils.Raster.transform`,
+# a coordinate reference system :class:`~geoutils.Raster.crs` and a :class:`~geoutils.Raster.nodata` value.
+# All other attributes are derivatives of those or the file on disk, and can be found in the :ref:`dedicated section of the API<api-raster-attrs>`. See also :ref:`raster-class`.
+
 # %%
 #
 # .. note::
diff --git a/examples/io/open_save/read_satimg.py b/examples/io/open_save/read_satimg.py
index fab40cbac..daae9c355 100644
--- a/examples/io/open_save/read_satimg.py
+++ b/examples/io/open_save/read_satimg.py
@@ -1,6 +1,6 @@
 """
-Parsing metadata
-================
+Parsing image metadata
+======================
 
 This example demonstrates the instantiation of an image through :class:`~geoutils.SatelliteImage`.
 """
@@ -9,14 +9,14 @@
 
 # %%
 # We print the filename of our raster that, as often with satellite data, holds metadata information.
-filename = gu.examples.get_path("everest_landsat_b4")
+filename_geoimg = gu.examples.get_path("everest_landsat_b4")
 import os
 
-print(os.path.basename(filename))
+print(os.path.basename(filename_geoimg))
 
 # %%
-# We open it as a geo-image, unsilencing the attribute retrieval to see the parsed data.
-img = gu.SatelliteImage(gu.examples.get_path("everest_landsat_b4"), silent=False)
+# We open it as a geo-image, un-silencing the attribute retrieval to see the parsed data.
+img = gu.SatelliteImage(filename_geoimg, silent=False)
 
 # %%
 # We have now retrieved the metadata. For the rest, the :class:`~geoutils.SatelliteImage` is a subclass of :class:`~geoutils.Raster`, and behaves similarly.
diff --git a/examples/io/open_save/read_vector.py b/examples/io/open_save/read_vector.py
index a86aa72fe..b8e82fe04 100644
--- a/examples/io/open_save/read_vector.py
+++ b/examples/io/open_save/read_vector.py
@@ -9,16 +9,21 @@
 
 # %%
 # We open an example vector.
-vect = gu.Vector(gu.examples.get_path("everest_rgi_outlines"))
+filename_vect = gu.examples.get_path("everest_rgi_outlines")
+vect = gu.Vector(filename_vect)
 vect
 
+# %%
+# A vector is composed of a single main attribute: a :class:`~geoutils.Vector.ds` geodataframe.
+# All other attributes are :ref:`inherited from Shapely and GeoPandas<vector-from-geopandas>`. See also :ref:`vector-class`.
+
 # %%
 #
 # .. note::
 #        A vector can also be instantiated with a :class:`geopandas.GeoDataFrame`, see :ref:`sphx_glr_io_examples_import_export_import_vector.py`.
 #
 # We can print more info on the vector.
-print(vect)
+print(vect.info())
 
 # %%
 # Let's plot by vector area
diff --git a/geoutils/raster/__init__.py b/geoutils/raster/__init__.py
index aceb2c43b..5402aa465 100644
--- a/geoutils/raster/__init__.py
+++ b/geoutils/raster/__init__.py
@@ -1,4 +1,4 @@
-from geoutils.raster.raster import Raster, RasterType, Mask  # noqa isort:skip
+from geoutils.raster.raster import Raster, RasterType, Mask, handled_array_funcs  # noqa isort:skip
 from geoutils.raster.array import *  # noqa
 from geoutils.raster.multiraster import *  # noqa
 from geoutils.raster.sampling import *  # noqa
diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index a1eb5ce5f..e6badebdd 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -640,9 +640,15 @@ def to_rio_dataset(self) -> rio.io.DatasetReader:
     def __repr__(self) -> str:
         """Convert raster to string representation."""
 
+        # Shape to load
+        if self.count == 1:
+            shape_to_load = self._out_shape
+        else:
+            shape_to_load = (self._out_count, *self._out_shape)
+
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
-            str_data = "not_loaded; shape on disk " + str(self._disk_shape)
+            str_data = "not_loaded; shape on disk " + str(self._disk_shape) + "; will load " + str(shape_to_load)
         else:
             str_data = "\n       ".join(self.data.__str__().split("\n"))
 
@@ -671,9 +677,16 @@ def __repr__(self) -> str:
     def _repr_html_(self) -> str:
         """Convert raster to HTML representation for documentation."""
 
+        # Shape to load
+        if self.count == 1:
+            shape_to_load = self._out_shape
+        else:
+            shape_to_load = (self._out_count, *self._out_shape)
+
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
-            str_data = "<i>not_loaded; shape on disk " + str(self._disk_shape) + "</i>"
+            str_data = "<i>not_loaded; shape on disk " + str(self._disk_shape) + "; will load " \
+                       + str(shape_to_load) + "</i>"
         else:
             str_data = "\n       ".join(self.data.__str__().split("\n"))
 
diff --git a/tests/test_docs.py b/tests/test_docs.py
index caa7b86f9..cc78efcc2 100644
--- a/tests/test_docs.py
+++ b/tests/test_docs.py
@@ -25,7 +25,7 @@ def test_build(self) -> None:
                     "-j",
                     "1",
                     os.path.join(self.docs_dir, "source/"),
-                    os.path.join(self.docs_dir, "build/html"),
+                    os.path.join(self.docs_dir, "build/"),
                 ]
             )
 

From 4fe01c5fe371051f2c03e7e793ae409cdaeb8456 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Mon, 10 Apr 2023 16:48:21 -0800
Subject: [PATCH 171/184] Linting

---
 doc/source/conf.py             | 21 ++++++++++++---------
 doc/source/core_composition.md |  2 +-
 doc/source/vector_class.md     |  2 +-
 geoutils/raster/raster.py      | 11 ++++++-----
 4 files changed, 20 insertions(+), 16 deletions(-)

diff --git a/doc/source/conf.py b/doc/source/conf.py
index ee0ad156d..f13187c3a 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -76,15 +76,18 @@
         "handling_examples",
         "analysis_examples",
     ],  # path to where to save gallery generated output
-    'subsection_order': ExplicitOrder([os.path.join(example_path, "io", "open_save"),
-                                       os.path.join(example_path, "io", "import_export"),
-                                       os.path.join(example_path, "handling", "georeferencing"),
-                                       os.path.join(example_path, "handling", "interface"),
-                                       os.path.join(example_path, "analysis", "array_numerics"),
-                                       os.path.join(example_path, "analysis", "geospatial"),
-                                       os.path.join(example_path, "analysis", "point_extraction"),
-                                       ]),
-    'within_subsection_order': ExampleTitleSortKey,
+    "subsection_order": ExplicitOrder(
+        [
+            os.path.join(example_path, "io", "open_save"),
+            os.path.join(example_path, "io", "import_export"),
+            os.path.join(example_path, "handling", "georeferencing"),
+            os.path.join(example_path, "handling", "interface"),
+            os.path.join(example_path, "analysis", "array_numerics"),
+            os.path.join(example_path, "analysis", "geospatial"),
+            os.path.join(example_path, "analysis", "point_extraction"),
+        ]
+    ),
+    "within_subsection_order": ExampleTitleSortKey,
     "inspect_global_variables": True,  # Make links to the class/function definitions.
     "reference_url": {
         # The module you locally document uses None
diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
index b2963cb78..9f30bd5c4 100644
--- a/doc/source/core_composition.md
+++ b/doc/source/core_composition.md
@@ -72,7 +72,7 @@ See {ref}`raster-class` for more details.
 
 A {class}`~geoutils.Vector` is a composition class with a single main attribute: a {class}`~geopandas.GeoDataFrame` as {attr}`~geoutils.Vector.ds`.
 
-A {class}`~geoutils.Vector`'s dataframe {attr}`~geoutils.Vector.ds` is directly loaded in-memory 
+A {class}`~geoutils.Vector`'s dataframe {attr}`~geoutils.Vector.ds` is directly loaded in-memory
 (might evolve towards lazy behaviour soon through [Dask-GeoPandas](https://dask-geopandas.readthedocs.io/en/stable/)).
 
 ```{code-cell} ipython3
diff --git a/doc/source/vector_class.md b/doc/source/vector_class.md
index 1073286b1..de62d2a78 100644
--- a/doc/source/vector_class.md
+++ b/doc/source/vector_class.md
@@ -116,7 +116,7 @@ vect.to_json()
 Reprojecting a {class}`~geoutils.Vector` is done through the {func}`~geoutils.Vector.reproject` function, which enforces a new {attr}`~geoutils.Vector.crs`.
 
 ```{important}
-As with all geospatial handling methods, the {func}`~geoutils.Vector.reproject` function can be passed a 
+As with all geospatial handling methods, the {func}`~geoutils.Vector.reproject` function can be passed a
 {class}`~geoutils.Raster` or {class}`~geoutils.Vector` as a reference to match its {class}`~geoutils.Raster.crs`.
 In that case, no other argument is necessary.
 
diff --git a/geoutils/raster/raster.py b/geoutils/raster/raster.py
index e6badebdd..1eaeac1ef 100644
--- a/geoutils/raster/raster.py
+++ b/geoutils/raster/raster.py
@@ -644,7 +644,7 @@ def __repr__(self) -> str:
         if self.count == 1:
             shape_to_load = self._out_shape
         else:
-            shape_to_load = (self._out_count, *self._out_shape)
+            shape_to_load = (self._out_count, *self._out_shape)  # type: ignore
 
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
@@ -678,15 +678,16 @@ def _repr_html_(self) -> str:
         """Convert raster to HTML representation for documentation."""
 
         # Shape to load
-        if self.count == 1:
+        if self._out_count == 1:
             shape_to_load = self._out_shape
         else:
-            shape_to_load = (self._out_count, *self._out_shape)
+            shape_to_load = (self._out_count, *self._out_shape)  # type: ignore
 
         # If data not loaded, return and string and avoid calling .data
         if not self.is_loaded:
-            str_data = "<i>not_loaded; shape on disk " + str(self._disk_shape) + "; will load " \
-                       + str(shape_to_load) + "</i>"
+            str_data = (
+                "<i>not_loaded; shape on disk " + str(self._disk_shape) + "; will load " + str(shape_to_load) + "</i>"
+            )
         else:
             str_data = "\n       ".join(self.data.__str__().split("\n"))
 

From ecc2ba7d189f3f19234a9957dde649cd85ca2014 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 12 Apr 2023 17:14:20 -0800
Subject: [PATCH 172/184] Finish accounting for comments

---
 doc/source/about_geoutils.md                  | 158 +++++++++++++++++-
 doc/source/raster_class.md                    |   4 +-
 .../point_extraction/interpolation.py         |   6 +-
 .../analysis/point_extraction/reduction.py    |   6 +-
 4 files changed, 165 insertions(+), 9 deletions(-)

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index d07993469..a4a543931 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -35,7 +35,7 @@ In particular, GeoUtils:
 - Rarely requires more than **single-line operations** thanks to its object-based structure,
 - Strives to rely on **lazy operations** under-the-hood to avoid unnecessary data loading,
 - Allows for **match-reference operations** to facilitate geospatial handling,
-- Re-implements **several of [GDAL](https://gdal.org/)'s missing features** (Proximity, DEM through xDEM, etc),
+- Re-implements **several of [GDAL](https://gdal.org/)'s features** missing in other packages (e.g., proximity, gdalDEM),
 - Naturally handles **different `dtypes` and `nodata`** values through its NumPy masked-array interface.
 
 
@@ -66,3 +66,159 @@ Finally, **many common geospatial analysis tools are generally unavailable** in
 ```{admonition} Conclusion
 Having higher-level geospatial tools implemented in a **consistent** manner and tested for **robustness** is essential for the wider geospatial community.
 ```
+
+## Side-by-side examples with Rasterio and GeoPandas
+
+This first side-by-side example demonstrates the difference with Rasterio for opening a raster, reprojecting on 
+another "reference" raster, performing array operations respectful of nodata values, and saving to file.
+
+
+```{note}
+**GeoUtils does not just wrap the Rasterio or GeoPandas operations showed below**. Instead, it defines **raster- and 
+vector-centered objects to ensure consistent geospatial object behaviour that facilitates those operations** (e.g., by implicitly passing metadata, loading, or interfacing).
+```
+
+`````{list-table}
+---
+header-rows: 1
+---
+* - GeoUtils
+  - Rasterio
+* - ```python
+    import geoutils as gu
+    
+    # Opening of two rasters
+    rast1 = gu.Raster("myraster1.tif")
+    rast2 = gu.Raster("myraster2.tif")
+    
+    # Reproject 1 to match 2
+    # (raster 2 not loaded, only metadata)
+    rast1_reproj = rast1.reproject(
+        dst_ref = rast2
+        )
+    
+    # Array interfacing and implicit loading
+    # (raster 2 loads implicitly)
+    rast_result = (1 + rast2) / rast1_reproj
+    
+    # Saving
+    rast_result.save("myresult.tif")
+    ```
+    
+  - ```python
+    import rasterio as rio
+    import numpy as np
+    
+    # Opening of two rasters
+    rast1 = rio.io.DatasetReader("myraster1.tif")
+    rast2 = rio.io.DatasetReader("myraster2.tif")
+    
+    # Equivalent of a match-reference reprojection
+    # (returns an array, not a raster-type object)
+    arr1_reproj, _ = rio.warp.reproject(
+        source = rast1.read(), 
+        destination = np.ones(rast2.shape), 
+        src_transform = rast1.transform, 
+        src_crs = rast1.crs, 
+        src_nodata = rast1.nodata, 
+        dst_transform = rast2.transform, 
+        dst_crs = rast2.crs, 
+        dst_nodata = rast2.nodata,
+        )
+    
+    # Equivalent of array interfacing
+    # (ensuring nodata and dtypes are rightly 
+    # propagated through masked arrays)
+    ma1_reproj = np.ma.MaskedArray(
+        data = arr1_reproj, 
+        mask = (arr1_reproj == rast2.nodata)
+        )
+    ma2 = rast2.read(masked = True)
+    ma_result = (1 + ma2) / (ma1_reproj)
+    
+    # Equivalent of saving
+    # (requires to define a logical
+    # nodata for the data type)
+    out_nodata = custom_func(
+        dtype = ma_result.dtype,
+        nodata1 = rast1.nodata,
+        nodata2 = rast2.nodata
+        )
+    with rio.open(
+        "myresult.tif",
+        mode = "w",
+        height = rast2.height,
+        width = rast2.width,
+        count = rast1.count,
+        dtype = ma_result.dtype,
+        crs = rast2.crs,
+        transform = rast2.transform,
+        nodata = rast2.nodata,
+    ) as dst:
+        dst.write(ma_result.filled(out_nodata))
+    ```
+`````
+
+This second side-by-side example demonstrates the difference with GeoPandas (and Rasterio) for opening a vector, 
+applying a metric geometric operation (buffering), rasterizing into a boolean mask, and indexing a raster with that mask.
+
+`````{list-table}
+---
+header-rows: 1
+---
+* - GeoUtils
+  - GeoPandas (and Rasterio)
+* - ```python
+    import geoutils as gu
+    
+    # Opening a vector and a raster
+    vect = gu.Vector("myvector.shp")
+    rast = gu.Raster("myraster.tif")
+    
+    # Metric buffering
+    vect_buff = vect.buffer(distance = 100)
+    
+    # Create a mask on the raster grid
+    # (raster not loaded, only metadata)
+    mask = vect_buff.create_mask(
+        dst_ref = rast
+        )
+    
+    # Index raster values on mask
+    # (raster loads implicitly)
+    values = rast[mask]
+    ```
+    
+  - ```python
+    import geopandas as gpd
+    import rasterio as rio
+    
+    # Opening a vector and a raster
+    df = gpd.read_file("myvector.tif")
+    rast2 = rio.io.DatasetReader("myraster.tif")
+    
+    # Equivalent of a metric buffering 
+    # (while keeping a frame object)
+    gs_m_crs = df.to_crs(df.estimate_utm_crs())
+    gs_m_crs_buff = gs_m_crs.buffer(distance = 100)
+    gs_buff = gs_m_crs_buff.to_crs(df.crs)
+    df_buff = gpd.GeoDataFrame(
+        geometry = gs_buff
+        )
+        
+    # Equivalent of creating a rasterized mask
+    # (ensuring CRS are similar)
+    df_buff = df_buff.to_crs(rast2.crs)
+    mask = features.rasterize(
+        shapes = gdf.geometry, 
+        fill = 0, 
+        out_shape = rast2.shape, 
+        transform = rast2.transform, 
+        default_value = 1, 
+        dtype = "uint8"
+        )
+    mask = mask.astype("bool")
+    
+    # Equivalent of indexing with mask
+    values = rast2.read(1, masked = True)[mask]
+`````
\ No newline at end of file
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index a936742ec..ff4505415 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -223,8 +223,8 @@ rast_reproj
 
 ```{code-cell} ipython3
 # New bounds and resolution
-print(rast.res)
-print(rast.bounds)
+print(rast_reproj.res)
+print(rast_reproj.bounds)
 ```
 
 ```{note}
diff --git a/examples/analysis/point_extraction/interpolation.py b/examples/analysis/point_extraction/interpolation.py
index 9d7805721..a7260de65 100644
--- a/examples/analysis/point_extraction/interpolation.py
+++ b/examples/analysis/point_extraction/interpolation.py
@@ -1,8 +1,8 @@
 """
-Regular-grid interpolation
-==========================
+Interpolation from grid
+=======================
 
-This example demonstrates raster interpolation to point values using :func:`~geoutils.Raster.interp_points`.
+This example demonstrates the 2D interpolation of raster values to points using :func:`~geoutils.Raster.interp_points`.
 """
 # %%
 # We open an example raster, a digital elevation model in South America.
diff --git a/examples/analysis/point_extraction/reduction.py b/examples/analysis/point_extraction/reduction.py
index eb01f51f1..32496554c 100644
--- a/examples/analysis/point_extraction/reduction.py
+++ b/examples/analysis/point_extraction/reduction.py
@@ -1,8 +1,8 @@
 """
-Window point reduction
-======================
+Reduction from window
+=====================
 
-This example demonstrates raster reduction to point values using :func:`~geoutils.Raster.value_at_coords`.
+This example demonstrates the reduction of windowed raster values around a point using :func:`~geoutils.Raster.value_at_coords`.
 """
 # %%
 # We open an example raster, a digital elevation model in South America.

From c5e066272b507eeb26ef5bd280a51341e753d372 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Wed, 12 Apr 2023 17:14:35 -0800
Subject: [PATCH 173/184] Linting

---
 doc/source/about_geoutils.md | 74 ++++++++++++++++++------------------
 1 file changed, 37 insertions(+), 37 deletions(-)

diff --git a/doc/source/about_geoutils.md b/doc/source/about_geoutils.md
index a4a543931..496df8992 100644
--- a/doc/source/about_geoutils.md
+++ b/doc/source/about_geoutils.md
@@ -69,12 +69,12 @@ Having higher-level geospatial tools implemented in a **consistent** manner and
 
 ## Side-by-side examples with Rasterio and GeoPandas
 
-This first side-by-side example demonstrates the difference with Rasterio for opening a raster, reprojecting on 
+This first side-by-side example demonstrates the difference with Rasterio for opening a raster, reprojecting on
 another "reference" raster, performing array operations respectful of nodata values, and saving to file.
 
 
 ```{note}
-**GeoUtils does not just wrap the Rasterio or GeoPandas operations showed below**. Instead, it defines **raster- and 
+**GeoUtils does not just wrap the Rasterio or GeoPandas operations showed below**. Instead, it defines **raster- and
 vector-centered objects to ensure consistent geospatial object behaviour that facilitates those operations** (e.g., by implicitly passing metadata, loading, or interfacing).
 ```
 
@@ -86,56 +86,56 @@ header-rows: 1
   - Rasterio
 * - ```python
     import geoutils as gu
-    
+
     # Opening of two rasters
     rast1 = gu.Raster("myraster1.tif")
     rast2 = gu.Raster("myraster2.tif")
-    
+
     # Reproject 1 to match 2
     # (raster 2 not loaded, only metadata)
     rast1_reproj = rast1.reproject(
         dst_ref = rast2
         )
-    
+
     # Array interfacing and implicit loading
     # (raster 2 loads implicitly)
     rast_result = (1 + rast2) / rast1_reproj
-    
+
     # Saving
     rast_result.save("myresult.tif")
     ```
-    
+
   - ```python
     import rasterio as rio
     import numpy as np
-    
+
     # Opening of two rasters
     rast1 = rio.io.DatasetReader("myraster1.tif")
     rast2 = rio.io.DatasetReader("myraster2.tif")
-    
+
     # Equivalent of a match-reference reprojection
     # (returns an array, not a raster-type object)
     arr1_reproj, _ = rio.warp.reproject(
-        source = rast1.read(), 
-        destination = np.ones(rast2.shape), 
-        src_transform = rast1.transform, 
-        src_crs = rast1.crs, 
-        src_nodata = rast1.nodata, 
-        dst_transform = rast2.transform, 
-        dst_crs = rast2.crs, 
+        source = rast1.read(),
+        destination = np.ones(rast2.shape),
+        src_transform = rast1.transform,
+        src_crs = rast1.crs,
+        src_nodata = rast1.nodata,
+        dst_transform = rast2.transform,
+        dst_crs = rast2.crs,
         dst_nodata = rast2.nodata,
         )
-    
+
     # Equivalent of array interfacing
-    # (ensuring nodata and dtypes are rightly 
+    # (ensuring nodata and dtypes are rightly
     # propagated through masked arrays)
     ma1_reproj = np.ma.MaskedArray(
-        data = arr1_reproj, 
+        data = arr1_reproj,
         mask = (arr1_reproj == rast2.nodata)
         )
     ma2 = rast2.read(masked = True)
     ma_result = (1 + ma2) / (ma1_reproj)
-    
+
     # Equivalent of saving
     # (requires to define a logical
     # nodata for the data type)
@@ -159,7 +159,7 @@ header-rows: 1
     ```
 `````
 
-This second side-by-side example demonstrates the difference with GeoPandas (and Rasterio) for opening a vector, 
+This second side-by-side example demonstrates the difference with GeoPandas (and Rasterio) for opening a vector,
 applying a metric geometric operation (buffering), rasterizing into a boolean mask, and indexing a raster with that mask.
 
 `````{list-table}
@@ -170,34 +170,34 @@ header-rows: 1
   - GeoPandas (and Rasterio)
 * - ```python
     import geoutils as gu
-    
+
     # Opening a vector and a raster
     vect = gu.Vector("myvector.shp")
     rast = gu.Raster("myraster.tif")
-    
+
     # Metric buffering
     vect_buff = vect.buffer(distance = 100)
-    
+
     # Create a mask on the raster grid
     # (raster not loaded, only metadata)
     mask = vect_buff.create_mask(
         dst_ref = rast
         )
-    
+
     # Index raster values on mask
     # (raster loads implicitly)
     values = rast[mask]
     ```
-    
+
   - ```python
     import geopandas as gpd
     import rasterio as rio
-    
+
     # Opening a vector and a raster
     df = gpd.read_file("myvector.tif")
     rast2 = rio.io.DatasetReader("myraster.tif")
-    
-    # Equivalent of a metric buffering 
+
+    # Equivalent of a metric buffering
     # (while keeping a frame object)
     gs_m_crs = df.to_crs(df.estimate_utm_crs())
     gs_m_crs_buff = gs_m_crs.buffer(distance = 100)
@@ -205,20 +205,20 @@ header-rows: 1
     df_buff = gpd.GeoDataFrame(
         geometry = gs_buff
         )
-        
+
     # Equivalent of creating a rasterized mask
     # (ensuring CRS are similar)
     df_buff = df_buff.to_crs(rast2.crs)
     mask = features.rasterize(
-        shapes = gdf.geometry, 
-        fill = 0, 
-        out_shape = rast2.shape, 
-        transform = rast2.transform, 
-        default_value = 1, 
+        shapes = gdf.geometry,
+        fill = 0,
+        out_shape = rast2.shape,
+        transform = rast2.transform,
+        default_value = 1,
         dtype = "uint8"
         )
     mask = mask.astype("bool")
-    
+
     # Equivalent of indexing with mask
     values = rast2.read(1, masked = True)[mask]
-`````
\ No newline at end of file
+`````

From 660615cd495a5fc050a04f57be69fa79d1239360 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 13 Apr 2023 12:21:30 -0800
Subject: [PATCH 174/184] Change default mode to dark to remove logo issue

---
 doc/source/conf.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/source/conf.py b/doc/source/conf.py
index f13187c3a..bd4b00851 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -203,7 +203,7 @@ def setup(app):
 # For dark mode
 html_context = {
     # ...
-    "default_mode": "auto"
+    "default_mode": "dark"
 }
 
 # Add the search bar to be always displayed (not only on top)

From 44979ac16b3b8f40f27270435ec25c5f2fa1746b Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Thu, 13 Apr 2023 15:41:28 -0800
Subject: [PATCH 175/184] Add binder

---
 README.md                    | 4 ++--
 binder/environment.yml       | 1 +
 binder/extra-environment.yml | 4 ++++
 binder/postBuild             | 6 ++++++
 doc/source/conf.py           | 3 +++
 5 files changed, 16 insertions(+), 2 deletions(-)
 create mode 120000 binder/environment.yml
 create mode 100644 binder/extra-environment.yml
 create mode 100644 binder/postBuild

diff --git a/README.md b/README.md
index ada8e5fff..e787a2cfd 100644
--- a/README.md
+++ b/README.md
@@ -42,8 +42,8 @@ See [mamba's documentation](https://mamba.readthedocs.io/en/latest/) to install
 
 ## Start contributing
 
-1. Fork the repository, make a feature branches and push changes.
-2. When ready, submit a pull request from the feature branch of your fork to `GlacioHack/geoutils:master`.
+1. Fork the repository, make a feature branch and push changes.
+2. When ready, submit a pull request from the feature branch of your fork to `GlacioHack/geoutils:main`.
 3. The PR will be reviewed by at least one maintainer, discussed, then merged.
 
 More info on [our contributing page](CONTRIBUTING.md).
diff --git a/binder/environment.yml b/binder/environment.yml
new file mode 120000
index 000000000..7a9c79057
--- /dev/null
+++ b/binder/environment.yml
@@ -0,0 +1 @@
+../environment.yml
\ No newline at end of file
diff --git a/binder/extra-environment.yml b/binder/extra-environment.yml
new file mode 100644
index 000000000..23cdfb27a
--- /dev/null
+++ b/binder/extra-environment.yml
@@ -0,0 +1,4 @@
+channels:
+  - conda-forge
+dependencies:
+  - jupytext
diff --git a/binder/postBuild b/binder/postBuild
new file mode 100644
index 000000000..eb7bb6dd2
--- /dev/null
+++ b/binder/postBuild
@@ -0,0 +1,6 @@
+#!/bin/bash
+set -e  # To avoid silent errors
+
+# ${MAMBA_EXE} env update -p ${NB_PYTHON_PREFIX} --file "environment.yml"
+pip install -e .
+${MAMBA_EXE} env update -p ${NB_PYTHON_PREFIX} --file "binder/extra-environment.yml"
diff --git a/doc/source/conf.py b/doc/source/conf.py
index bd4b00851..aa2f750a9 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -178,6 +178,9 @@ def setup(app):
     "use_source_button": True,
     "use_issues_button": True,
     "use_download_button": True,
+    "launch_buttons": {
+        "binderhub_url": "https://{your-binderhub-url}"
+    },
     # "logo_only": True,
     # "icon_links": [
     #         {

From f74484774ae849ef13d334c3b17622c6ebcbb12a Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 14 Apr 2023 10:55:19 -0800
Subject: [PATCH 176/184] Add myst-nb to binder environment to open .md files
 as jupyter notebooks

---
 binder/extra-environment.yml | 1 +
 doc/source/conf.py           | 6 +++---
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/binder/extra-environment.yml b/binder/extra-environment.yml
index 23cdfb27a..d619a16fd 100644
--- a/binder/extra-environment.yml
+++ b/binder/extra-environment.yml
@@ -2,3 +2,4 @@ channels:
   - conda-forge
 dependencies:
   - jupytext
+  - myst-parser
diff --git a/doc/source/conf.py b/doc/source/conf.py
index aa2f750a9..54209d752 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -171,15 +171,15 @@ def setup(app):
 html_theme_options = {
     "path_to_docs": "doc/source",
     "use_sidenotes": True,
-    "repository_url": "https://github.com/GlacioHack/geoutils",
-    "repository_branch": "main",
+    "repository_url": "https://github.com/rhugonnet/geoutils",
+    "repository_branch": "docs",
     "use_repository_button": True,
     "use_edit_page_button": True,
     "use_source_button": True,
     "use_issues_button": True,
     "use_download_button": True,
     "launch_buttons": {
-        "binderhub_url": "https://{your-binderhub-url}"
+        "binderhub_url": "https://mybinder.org/"
     },
     # "logo_only": True,
     # "icon_links": [

From 5746d2a624f4b0d31d161eda96b901a48078eba7 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 14 Apr 2023 11:17:06 -0800
Subject: [PATCH 177/184] Replace by myst-nb for binder env

---
 binder/extra-environment.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/binder/extra-environment.yml b/binder/extra-environment.yml
index d619a16fd..ac7000172 100644
--- a/binder/extra-environment.yml
+++ b/binder/extra-environment.yml
@@ -2,4 +2,4 @@ channels:
   - conda-forge
 dependencies:
   - jupytext
-  - myst-parser
+  - myst-nb

From d1339085c089e61d68e44c3f949c4ec6797bac60 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 14 Apr 2023 11:30:44 -0800
Subject: [PATCH 178/184] Add default parameters for JupyterLab opening of
 markdown into Binder build

---
 binder/postBuild | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/binder/postBuild b/binder/postBuild
index eb7bb6dd2..7d5f75391 100644
--- a/binder/postBuild
+++ b/binder/postBuild
@@ -4,3 +4,5 @@ set -e  # To avoid silent errors
 # ${MAMBA_EXE} env update -p ${NB_PYTHON_PREFIX} --file "environment.yml"
 pip install -e .
 ${MAMBA_EXE} env update -p ${NB_PYTHON_PREFIX} --file "binder/extra-environment.yml"
+
+wget https://raw.githubusercontent.com/mwouts/jupytext/main/binder/labconfig/default_setting_overrides.json -P  ~/.jupyter/labconfig/  # To automatically update Markdown files as notebooks with Jupytext, see https://github.com/mwouts/jupytext
\ No newline at end of file

From c4430fbb710badef72642b0d5e2d55145a77bf32 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 14 Apr 2023 11:56:32 -0800
Subject: [PATCH 179/184] Add display name

---
 doc/source/quick_start.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index f56f5b26b..f850fdee1 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -1,6 +1,7 @@
 ---
 file_format: mystnb
 kernelspec:
+  display_name: geoutils-env
   name: geoutils
 ---
 (quick-start)=

From 094245625a6ae1e758e2e414238d10e4b3581343 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 14 Apr 2023 12:01:51 -0800
Subject: [PATCH 180/184] Try with more jupytext settings

---
 doc/source/quick_start.md | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index f850fdee1..415b95b9a 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -1,7 +1,13 @@
 ---
 file_format: mystnb
+jupytext:
+  formats: md:myst
+  text_representation:
+    extension: .md
+    format_name: myst
 kernelspec:
   display_name: geoutils-env
+  language: python
   name: geoutils
 ---
 (quick-start)=

From 50485191e75cad742e1c501f030ad8f99b07f95c Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 14 Apr 2023 14:04:55 -0800
Subject: [PATCH 181/184] Update documentation pages with binder setup

---
 README.md                      | 1 +
 binder/postBuild               | 1 -
 doc/source/conf.py             | 3 ++-
 doc/source/core_array_funcs.md | 7 +++++++
 doc/source/core_composition.md | 7 +++++++
 doc/source/core_index.md       | 2 ++
 doc/source/core_inheritance.md | 7 +++++++
 doc/source/core_lazy_load.md   | 7 +++++++
 doc/source/core_py_ops.md      | 8 ++++++++
 doc/source/index.md            | 9 +++++++++
 doc/source/mask_class.md       | 7 +++++++
 doc/source/proj_tools.md       | 7 +++++++
 doc/source/quick_start.md      | 6 ++++++
 doc/source/raster_class.md     | 7 +++++++
 doc/source/satimg_class.md     | 7 +++++++
 doc/source/vector_class.md     | 7 +++++++
 16 files changed, 91 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index e787a2cfd..7031420c9 100644
--- a/README.md
+++ b/README.md
@@ -8,6 +8,7 @@
 [![PyPI version](https://badge.fury.io/py/geoutils.svg)](https://badge.fury.io/py/geoutils)
 [![Coverage Status](https://coveralls.io/repos/github/GlacioHack/geoutils/badge.svg?branch=main)](https://coveralls.io/github/GlacioHack/geoutils?branch=main)
 
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/GlacioHack/geoutils/main)
 [![Pre-Commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
 [![Formatted with black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)
 [![Checked with mypy](http://www.mypy-lang.org/static/mypy_badge.svg)](http://mypy-lang.org/)
diff --git a/binder/postBuild b/binder/postBuild
index 7d5f75391..9204d190d 100644
--- a/binder/postBuild
+++ b/binder/postBuild
@@ -4,5 +4,4 @@ set -e  # To avoid silent errors
 # ${MAMBA_EXE} env update -p ${NB_PYTHON_PREFIX} --file "environment.yml"
 pip install -e .
 ${MAMBA_EXE} env update -p ${NB_PYTHON_PREFIX} --file "binder/extra-environment.yml"
-
 wget https://raw.githubusercontent.com/mwouts/jupytext/main/binder/labconfig/default_setting_overrides.json -P  ~/.jupyter/labconfig/  # To automatically update Markdown files as notebooks with Jupytext, see https://github.com/mwouts/jupytext
\ No newline at end of file
diff --git a/doc/source/conf.py b/doc/source/conf.py
index 54209d752..2ed083924 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -179,7 +179,8 @@ def setup(app):
     "use_issues_button": True,
     "use_download_button": True,
     "launch_buttons": {
-        "binderhub_url": "https://mybinder.org/"
+        "binderhub_url": "https://mybinder.org/",
+        "notebook_interface": "jupyterlab",
     },
     # "logo_only": True,
     # "icon_links": [
diff --git a/doc/source/core_array_funcs.md b/doc/source/core_array_funcs.md
index 0087be74b..e42c6c7ea 100644
--- a/doc/source/core_array_funcs.md
+++ b/doc/source/core_array_funcs.md
@@ -1,6 +1,13 @@
 ---
 file_format: mystnb
+jupytext:
+  formats: md:myst
+  text_representation:
+    extension: .md
+    format_name: myst
 kernelspec:
+  display_name: geoutils-env
+  language: python
   name: geoutils
 ---
 (core-array-funcs)=
diff --git a/doc/source/core_composition.md b/doc/source/core_composition.md
index 9f30bd5c4..ba42fffd1 100644
--- a/doc/source/core_composition.md
+++ b/doc/source/core_composition.md
@@ -1,6 +1,13 @@
 ---
 file_format: mystnb
+jupytext:
+  formats: md:myst
+  text_representation:
+    extension: .md
+    format_name: myst
 kernelspec:
+  display_name: geoutils-env
+  language: python
   name: geoutils
 ---
 (core-composition)=
diff --git a/doc/source/core_index.md b/doc/source/core_index.md
index bdabbd054..ca4595f01 100644
--- a/doc/source/core_index.md
+++ b/doc/source/core_index.md
@@ -1,6 +1,8 @@
 (core-index)=
 # Fundamentals
 
+Prefer to learn by running examples? Explore our example galleries on {ref}`examples-io`, {ref}`examples-handling` and {ref}`examples-analysis`.
+
 ```{toctree}
 :maxdepth: 2
 
diff --git a/doc/source/core_inheritance.md b/doc/source/core_inheritance.md
index 5c10327d6..9d3bbeb7f 100644
--- a/doc/source/core_inheritance.md
+++ b/doc/source/core_inheritance.md
@@ -1,6 +1,13 @@
 ---
 file_format: mystnb
+jupytext:
+  formats: md:myst
+  text_representation:
+    extension: .md
+    format_name: myst
 kernelspec:
+  display_name: geoutils-env
+  language: python
   name: geoutils
 ---
 (core-inheritance)=
diff --git a/doc/source/core_lazy_load.md b/doc/source/core_lazy_load.md
index f831eb466..9901bf987 100644
--- a/doc/source/core_lazy_load.md
+++ b/doc/source/core_lazy_load.md
@@ -1,6 +1,13 @@
 ---
 file_format: mystnb
+jupytext:
+  formats: md:myst
+  text_representation:
+    extension: .md
+    format_name: myst
 kernelspec:
+  display_name: geoutils-env
+  language: python
   name: geoutils
 ---
 (core-lazy-load)=
diff --git a/doc/source/core_py_ops.md b/doc/source/core_py_ops.md
index be5d6f538..af1bd5d10 100644
--- a/doc/source/core_py_ops.md
+++ b/doc/source/core_py_ops.md
@@ -1,6 +1,14 @@
 ---
 file_format: mystnb
+file_format: mystnb
+jupytext:
+  formats: md:myst
+  text_representation:
+    extension: .md
+    format_name: myst
 kernelspec:
+  display_name: geoutils-env
+  language: python
   name: geoutils
 ---
 
diff --git a/doc/source/index.md b/doc/source/index.md
index 962ec1993..8380cc2ae 100644
--- a/doc/source/index.md
+++ b/doc/source/index.md
@@ -24,6 +24,13 @@ title: GeoUtils
 GeoUtils is a Python package for **accessible**, **efficient** and **reliable** geospatial analysis.
 ::::
 
+```{tip}
+:class: margin
+**Run any page of this documentation interactively** by clicking the top launch button!
+
+Or **start your own test notebook**: [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/GlacioHack/geoutils/main).
+```
+
 **Accessible** owing to its convenient object-based structure, intuitive match-reference operations and familiar geospatial dependencies
 ([Rasterio](https://rasterio.readthedocs.io/en/latest/), [Rioxarray](https://corteva.github.io/rioxarray/stable/),
 [GeoPandas](https://geopandas.org/en/stable/docs.html), [PyProj](https://pyproj4.github.io/pyproj/stable/index.html)).
@@ -80,6 +87,8 @@ Dive into the full documentation.
 
 ::::
 
+Looking to **learn a specific feature by running an example**? Jump straight into our **example galleries on {ref}`examples-io`, {ref}`examples-handling` and {ref}`examples-analysis`**.
+
 ```{seealso}
 If you are DEM-enthusiastic, **[check-out our sister package xDEM](https://xdem.readthedocs.io/en/latest/index.html) for digital elevation models.**
 ```
diff --git a/doc/source/mask_class.md b/doc/source/mask_class.md
index c53b3e07b..218ca2952 100644
--- a/doc/source/mask_class.md
+++ b/doc/source/mask_class.md
@@ -1,6 +1,13 @@
 ---
 file_format: mystnb
+jupytext:
+  formats: md:myst
+  text_representation:
+    extension: .md
+    format_name: myst
 kernelspec:
+  display_name: geoutils-env
+  language: python
   name: geoutils
 ---
 (mask-class)=
diff --git a/doc/source/proj_tools.md b/doc/source/proj_tools.md
index 0b30cc2e5..61012ef8a 100644
--- a/doc/source/proj_tools.md
+++ b/doc/source/proj_tools.md
@@ -1,6 +1,13 @@
 ---
 file_format: mystnb
+jupytext:
+  formats: md:myst
+  text_representation:
+    extension: .md
+    format_name: myst
 kernelspec:
+  display_name: geoutils-env
+  language: python
   name: geoutils
 ---
 (proj-tools)=
diff --git a/doc/source/quick_start.md b/doc/source/quick_start.md
index 415b95b9a..346756ccb 100644
--- a/doc/source/quick_start.md
+++ b/doc/source/quick_start.md
@@ -20,6 +20,12 @@ For more details, refer to the {ref}`core-index`, {ref}`rasters-index` or {ref}`
 
 To find an example about a specific functionality, jump to {ref}`quick-gallery`.
 
+```{tip}
+All pages of this documentation containing code cells can be **run interactively online without the need of setting up your own environment**. Simply click the top launch button!
+
+Alternatively, start your own notebook to test GeoUtils at [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/GlacioHack/geoutils/main).
+```
+
 ## The core {class}`~geoutils.Raster` and {class}`~geoutils.Vector` classes
 
 In GeoUtils, geospatial handling is object-based and revolves around {class}`~geoutils.Raster` and {class}`~geoutils.Vector`.
diff --git a/doc/source/raster_class.md b/doc/source/raster_class.md
index ff4505415..c7d743dd5 100644
--- a/doc/source/raster_class.md
+++ b/doc/source/raster_class.md
@@ -1,6 +1,13 @@
 ---
 file_format: mystnb
+jupytext:
+  formats: md:myst
+  text_representation:
+    extension: .md
+    format_name: myst
 kernelspec:
+  display_name: geoutils-env
+  language: python
   name: geoutils
 ---
 (raster-class)=
diff --git a/doc/source/satimg_class.md b/doc/source/satimg_class.md
index 03d093c02..67e7df819 100644
--- a/doc/source/satimg_class.md
+++ b/doc/source/satimg_class.md
@@ -1,6 +1,13 @@
 ---
 file_format: mystnb
+jupytext:
+  formats: md:myst
+  text_representation:
+    extension: .md
+    format_name: myst
 kernelspec:
+  display_name: geoutils-env
+  language: python
   name: geoutils
 ---
 (satimg-class)=
diff --git a/doc/source/vector_class.md b/doc/source/vector_class.md
index de62d2a78..80cc7bdf4 100644
--- a/doc/source/vector_class.md
+++ b/doc/source/vector_class.md
@@ -1,6 +1,13 @@
 ---
 file_format: mystnb
+jupytext:
+  formats: md:myst
+  text_representation:
+    extension: .md
+    format_name: myst
 kernelspec:
+  display_name: geoutils-env
+  language: python
   name: geoutils
 ---
 (vector-class)=

From 33376fcbb04a15dfd577cd8a831460df98ce5b55 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 14 Apr 2023 14:05:10 -0800
Subject: [PATCH 182/184] Linting

---
 binder/postBuild | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/binder/postBuild b/binder/postBuild
index 9204d190d..4329f7b3b 100644
--- a/binder/postBuild
+++ b/binder/postBuild
@@ -4,4 +4,4 @@ set -e  # To avoid silent errors
 # ${MAMBA_EXE} env update -p ${NB_PYTHON_PREFIX} --file "environment.yml"
 pip install -e .
 ${MAMBA_EXE} env update -p ${NB_PYTHON_PREFIX} --file "binder/extra-environment.yml"
-wget https://raw.githubusercontent.com/mwouts/jupytext/main/binder/labconfig/default_setting_overrides.json -P  ~/.jupyter/labconfig/  # To automatically update Markdown files as notebooks with Jupytext, see https://github.com/mwouts/jupytext
\ No newline at end of file
+wget https://raw.githubusercontent.com/mwouts/jupytext/main/binder/labconfig/default_setting_overrides.json -P  ~/.jupyter/labconfig/  # To automatically update Markdown files as notebooks with Jupytext, see https://github.com/mwouts/jupytext

From aa8aadc55a3196c8b0e6065eedbb567a832202e9 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 14 Apr 2023 14:18:52 -0800
Subject: [PATCH 183/184] Modify repo url to main before merging

---
 doc/source/conf.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/source/conf.py b/doc/source/conf.py
index 2ed083924..e8e65c3e7 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -171,8 +171,8 @@ def setup(app):
 html_theme_options = {
     "path_to_docs": "doc/source",
     "use_sidenotes": True,
-    "repository_url": "https://github.com/rhugonnet/geoutils",
-    "repository_branch": "docs",
+    "repository_url": "https://github.com/GlacioHack/geoutils",
+    "repository_branch": "main",
     "use_repository_button": True,
     "use_edit_page_button": True,
     "use_source_button": True,

From 91ed7e8dfd00f6d8de381308e456f94fd2a60941 Mon Sep 17 00:00:00 2001
From: Romain Hugonnet <romain.hugonnet@gmail.com>
Date: Fri, 14 Apr 2023 14:22:43 -0800
Subject: [PATCH 184/184] Clarify settings of conf and postbuild

---
 binder/postBuild   | 2 +-
 doc/source/conf.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/binder/postBuild b/binder/postBuild
index 4329f7b3b..01eb2fbf3 100644
--- a/binder/postBuild
+++ b/binder/postBuild
@@ -4,4 +4,4 @@ set -e  # To avoid silent errors
 # ${MAMBA_EXE} env update -p ${NB_PYTHON_PREFIX} --file "environment.yml"
 pip install -e .
 ${MAMBA_EXE} env update -p ${NB_PYTHON_PREFIX} --file "binder/extra-environment.yml"
-wget https://raw.githubusercontent.com/mwouts/jupytext/main/binder/labconfig/default_setting_overrides.json -P  ~/.jupyter/labconfig/  # To automatically update Markdown files as notebooks with Jupytext, see https://github.com/mwouts/jupytext
+wget https://raw.githubusercontent.com/mwouts/jupytext/main/binder/labconfig/default_setting_overrides.json -P  ~/.jupyter/labconfig/  # To automatically open Markdown files as notebooks with Jupytext, see https://github.com/mwouts/jupytext
diff --git a/doc/source/conf.py b/doc/source/conf.py
index e8e65c3e7..5d1703ed0 100644
--- a/doc/source/conf.py
+++ b/doc/source/conf.py
@@ -180,7 +180,7 @@ def setup(app):
     "use_download_button": True,
     "launch_buttons": {
         "binderhub_url": "https://mybinder.org/",
-        "notebook_interface": "jupyterlab",
+        "notebook_interface": "jupyterlab",  # For launching Binder in Jupyterlab to open MD files as notebook (downloads them otherwise)
     },
     # "logo_only": True,
     # "icon_links": [