Data science toolkit for the H3 geospatial grid

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Project description

A data science toolkit for the H3 geospatial grid.

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This library is not a substitute for the official python h3 library - instead it provides more high-level functions on top of H3 and integrations into common dataframe libraries.

Documentation is available on https://h3ronpy.readthedocs.io/.

Features

  • H3 algorithms provided using the performant h3o library.

  • Build on Apache Arrow and pyarrow for efficient data handling.

  • Dedicated APIs for the the pandas and polars dataframe libraries. The pandas support includes geopandas.

  • Multi-threaded conversion of raster data to the H3 grid using numpy arrays.

  • Multi-threaded conversion of vector data, including geopandas GeoDataFrames and any object which supports the python __geo_interface__ protocol (shapely, geojson, …).

Limitations

Not all functionalities of the H3 grid are wrapped by this library, the current feature-set was implemented when there was a need and the time for it. As a opensource library new features can be requested in the form of github issues or contributed using pull requests.

License

MIT

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