Welcome to cuSpatial's documentation! ===================================== cuSpatial provides functionality for fast GPU-based spatial index and join functions via point-in-polygon, a pathing library for trajectory identification and reconstruction, and accelerated GIS functions like haversine distance and grid projection. The icing-on-the-cake of cuSpatial is that we integrate neatly with `GeoPandas` and RAPIDS `cudf`. This enables you to take advantage of all of the features of `GeoPandas`, plus blisteringly fast GPU acceleration for pandas-like functionality in `cudf` and spatial functions that perform quickly on millions and tens of millions of geometries. GeoArrow -------- cuSpatial proposes a new GeoArrow format from the fruit of discussions with the GeoPandas team. GeoArrow is a packed columnar data format for the six fundamental geometry types: Point, MultiPoint, Lines, MultiLines, Polygons, and MultiPolygons. MultiGeometry is a possibility that may be implemented in the future. GeoArrow uses packed coordinate and offset columns to define objects, which enables very-fast copy between CPU, GPU, and NIC. Any data source that is loaded into cuSpatial via :func:`cuspatial.from_geopandas` can then take advantage of `cudf`'s GPU-accelerated Arrow I/O routines. Read more about GeoArrow format in :func:`GeoArrowBuffers` cuSpatial API Reference ~~~~~~~~~~~~~~~~~~~~~~~ .. toctree:: :maxdepth: 2 :caption: Contents: api.rst ~~~~~~~~~~~~~~~~~~~~~~~ Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`