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Raster-based Spatial Analytics for Python

Results 139 xarray-spatial issues
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Many of the docs are using `generate_terrain()` to create sample data. This is good for visualization but not ideal for demonstrating the results in the docstring.

Currently project requirements are specified in `setup.py` and also in `requirements.txt` and `requirements-dev.txt`. They are not the same, so this needs clarifying and ideally removing the duplication so that there...

enhancement

xarrays can have no `(x, y)` coordinates, or they can have 1d or 2d coordinates. Need to check that all algorithms support all 3 use cases, and add tests for...

In some cases you may have a time series of rasters that you would like to calculate zonal statistics for (standard deviation across the time series). Currently zonal statistics supports...

enhancement

I am looking at example 1_Surface.ipynb . The following line of code only shows the 2D image. The lower part of the image show how the plot should look. I...

bug
focal tools
DGP

Current `a_star_search` implementation calculates cost between 2 arbitrary points using the actual distance between them. We may want to consider supporting weighted costs.

enhancement

Currently the Hillshade GPU accelerated version runs ~3x faster than numpy, but it can do better. We can also try to minimize dependencies. It could work without cupy