Skip to content

Commit

Permalink
Merge pull request #3 from LProx2020/LProx2020-patch-2-addition-2-1
Browse files Browse the repository at this point in the history
Copyediting Updates 3
  • Loading branch information
LProx2020 authored Jul 23, 2020
2 parents 83e95ea + f2f7ffe commit 4661339
Showing 1 changed file with 33 additions and 18 deletions.
51 changes: 33 additions & 18 deletions docs/static-pages/software.html
Original file line number Diff line number Diff line change
Expand Up @@ -3047,29 +3047,44 @@ <h1 id="commercial">Commercial or Licensed Packages</h1>

<h2><a id="ArcGIS" name="ArcGIS">ArcGIS Pro - Space Time Pattern Mining Toolbox</a></h2>
<p>
The <a href="https://pro.arcgis.com/en/pro-app/tool-reference/space-time-pattern-mining/an-overview-of-the-space-time-pattern-mining-toolbox.htm">Space Time Pattern Mining toolbox</a> contains statistical tools for analyzing data distributions and patterns in the context of both space and time. It includes a toolset for visualizing the data stored in the space-time netCDF cube in both 2D and 3D.
The <a href="https://pro.arcgis.com/en/pro-app/tool-reference/space-time-pattern-mining/an-overview-of-the-space-time-pattern-mining-toolbox.htm">Space Time Pattern Mining toolbox</a>
contains statistical tools for analyzing data distributions and patterns in the context of both space and time. It includes a toolset for visualizing the data stored in the space-time netCDF cube in both 2D and 3D.

Create Space Time Cube takes point datasets and builds a multidimensional cube data structure (netCDF) for analysis. Emerging Hot Spot Analysis then takes the cube as input and identifies statistically significant hot and cold spot trends over time. You might use the Emerging Hot Spot Analysis tool to analyze crime or disease outbreak data in order to locate new, intensifying, persistent, or sporadic hot spot patterns at different time-step intervals. The Local Outlier Analysis tool takes the cube as input to identify statistically significant clusters of high or low values as well as outliers that have values that are statistically different than their neighbors in space and time. The Utilities toolset enables you to visualize the data and analysis results stored in the space-time cube in two and three dimensions. These visualization tools can be used to understand the structure of the cube, how the cube aggregation process works, and to visualize the analytical results added to the cube by other Space Time Pattern Mining tools. See Visualizing the Space Time Cube for strategies to allow you to look at cube contents.
Create Space Time Cube takes point datasets and builds a multidimensional cube data structure (netCDF) for analysis.
Emerging Hot Spot Analysis then takes the cube as input and identifies statistically significant hot and cold spot
trends over time. You might use the Emerging Hot Spot Analysis tool to analyze crime or disease outbreak data in
order to locate new, intensifying, persistent, or sporadic hot spot patterns at different time-step intervals.
</p>
<p>
The Local Outlier Analysis tool takes the cube as input to identify statistically significant clusters of high or
low values as well as outliers that have values that are statistically different than their neighbors in space and time.
</p>
<p>
The Utilities toolset enables you to visualize the data and analysis results stored in the space-time cube in two and
three dimensions.These visualization tools can be used to understand the structure of the cube, how the cube aggregation
process works, and to visualize the analytical results added to the cube by other Space Time Pattern Mining tools.
See Visualizing the Space Time Cube for strategies to allow you to look at cube contents.
</p>
<p></p>

<h2><a id="Agrimetsoft" name="Agrimetsoft">AgriMetSoft Netcdf-Extractor</a></h2>

NetCDF Extractor is a windows software for view, convert, merge, and
extract data from .nc and .nc4 files. It can extract several nc files,
simultaneously. When a user wants to extract several files of nc format
simultaneously, he/she requires to load them at a same time with together,
loading the files one by one will be a time consuming and tedious process
and prone to error. By this software the user can save his/her time, and
quickly do the extract process. Also, it has a calculator tool. In this
calculator by entering latitude and longitude of the desirable region, the
user can view of the grid number of that region. In the latest version of
NetCDF Extractor, Agrimetsoft has added two options: Sum” and “Average”.
So, the user can easily calculate the average and sum values of the
selected area (grids). Data is shown in an organized table, and you can
choose to export everything to Excel. This tool is flexible to run for
various datasets such as CMIP5 models, AgMERRA, Aphrodite, CRU, and etc.
Agrimetsoft support all the users until they can extract the data.
<p>
NetCDF Extractor is a Windows software for viewing, converting, merging, and extracting
data from .nc and .nc4 files. It can extract several nc files simultaneously. When a user
wants to extract several files of nc format simultaneously, he/she requires to load them
at a same time: loading the files one by one will be a time consuming and tedious process
and prone to error. With this software the user can save time and quickly do the extract process.
</p>
<p>
In addition, it has a calculator tool. By entering latitude and longitude of the desirable region
into the calculator, the user can view the grid number of that region
</p>
<p>
In the latest version of NetCDF Extractor, Agrimetsoft has added two options:”Sum” and “Average”.
So, the user can easily calculate the average and sum values of the selected area (grids). Data is
shown in an organized table, and you can choose to export everything to Excel. This tool is flexible
to run for various datasets such as CMIP5 models, AgMERRA, Aphrodite, CRU, and etc.Agrimetsoft support
all the users until they can extract the data.
</p>
<p></p>

Expand Down

0 comments on commit 4661339

Please sign in to comment.