Xarray-spatial

- Sphinx doc fixes
- CLI bug fixed in 0.1.5

- Added band_to_img utils func
- Added download-examples CLI command for all notebooks (241)
- Added band_to_img utils func
- Docs enhancements
- GPU and dask support for multispectral tools
- GPU and Dask support for classify module (168)
- Fixed savi dask cupy test skip
- Moved validate_arrays to utils
- Added GPU support for hillshade (151)
- Added CLI for examples data
- Improved Sphinx docs / theme

- Added GPU support for curvature (150)
- Added dask.Array support for curvature (150)
- Added GPU support for aspect (156)
- Added dask.Array support for aspect (156)
- Added GPU support for slope (152)
- Added dask.Array support for slope (152)
- Fixed slope cupy: nan edge effect, remove numpy padding that cause TypeError (160)
- Fixed aspect cupy: nan edge effect, remove numpy padding that cause TypeError(160)
- Updated README with Supported Spatial Features Table
- Added badge for open source gis timeline
- Added GPU Support for Multispectral tools (148)
- Added Python 3.9 to Test Suite

- Added convolution module for use in focal statistics. (131)
- Added example notebook for focal statistics and convolution modules.

- Moved kernel creation to name-specific functions. (127)
- Separated the validate and custom kernel functions. (focal)
- Added annulus focal kernel (126) (focal)
- Added outputting of z-scores from hotspots tool (focal)
- Changed type checking to use np.floating (focal)
- Added tests for refactored focal statistics (focal)

- Added A* pathfinding
- Allow all numpy float data types, not just numpy.float64 (122)
- Broke out user-guide into individual notebooks (examples)
- Added num_sample param option to natural_breaks (123)
- Removed sklearn dependency