diff --git a/docs/changes/17.optimization.rst b/docs/changes/17.optimization.rst
new file mode 100644
index 0000000..3d7ae08
--- /dev/null
+++ b/docs/changes/17.optimization.rst
@@ -0,0 +1,2 @@
+- Add test for source visibility altitude restrictions in `tests/test_source_visibility.py`
+- Fix typo in `utils.py`
diff --git a/radiotools/plotting/utils.py b/radiotools/plotting/utils.py
index 6366c83..7de6020 100644
--- a/radiotools/plotting/utils.py
+++ b/radiotools/plotting/utils.py
@@ -30,7 +30,7 @@ def px2radec(
         axis size is used. Default: ``None``
     num_ticks : int or tuple, optional
         Number of ticks on the axes. If given a tuple,
-        element 0 correponds to the number of ticks on the
+        element 0 corresponds to the number of ticks on the
         x-axis, while element 1 corresponds to the y-axis.
     unit : str, optional
         The unit of the ticks. Can be one of ``'microarcsecond'``,
diff --git a/tests/test_source_visibility.py b/tests/test_source_visibility.py
index ebe84c4..8f643eb 100644
--- a/tests/test_source_visibility.py
+++ b/tests/test_source_visibility.py
@@ -1,6 +1,7 @@
 from contextlib import contextmanager
 
 import matplotlib.pyplot as plt
+import numpy as np
 import pandas as pd
 
 
@@ -36,3 +37,36 @@ def test_source_visibility():
     ]
 
     assert dates == expected_dates
+
+
+def test_source_visibility_alt_restrictions():
+    from radiotools.visibility import SourceVisibility
+
+    alts = np.array([np.arange(0, 95, 5), np.arange(90, -5, -5)])
+
+    opt_dates = [
+        pd.Timestamp("2022-12-31 16:29:11"),
+        pd.Timestamp("2022-12-31 22:29:11"),
+        pd.Timestamp("2023-01-01 04:29:11"),
+    ]
+
+    results = []
+
+    for i in np.arange(alts.shape[1]):
+        try:
+            results.append(
+                SourceVisibility(
+                    target="crab",
+                    date="2022-12-31",
+                    location="vla",
+                    obs_length=12.0,
+                    min_alt=alts[0][i],
+                    max_alt=alts[1][i],
+                ).get_optimal_date()
+                == opt_dates
+            )
+        except ValueError:
+            results.append(False)
+
+    assert np.all(results[:5])
+    assert np.all(np.logical_not(results[5:]))