Xarray-spatial documentationΒΆ

Xarray-Spatial implements common raster analysis functions using Numba and provides an easy-to-install, easy-to-extend codebase for raster analysis.

xarray-spatial grew out of the Datashader project, which provides fast rasterization of vector data (points, lines, polygons, meshes, and rasters) for use with xarray-spatial.

xarray-spatial does not depend on GDAL / GEOS, which makes it fully extensible in Python but does limit the breadth of operations that can be covered. xarray-spatial is meant to include the core raster-analysis functions needed for GIS developers / analysts, implemented independently of the non-Python geo stack.


Fast, Accurate Python library for Raster Operations
Extensible with Numba
Scalable with Dask

Free of GDAL / GEOS Dependencies
General-Purpose Spatial Processing,
Geared Towards GIS Professionals.

_images/0-0.png
_images/0-1.png
_images/0-2.png
_images/0-3.png
_images/0-4.png
_images/1-0.png
_images/1-1.png
_images/1-2.png
_images/1-3.png
_images/1-4.png
_images/2-0.png
_images/2-1.png
_images/2-2.png
_images/2-3.png
_images/2-4.png
_images/3-0.png
_images/3-1.png
_images/3-2.png
_images/3-3.png
_images/3-4.png
_images/4-0.png
_images/4-1.png
_images/4-2.png
_images/4-3.png
_images/4-4.png