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@ -880,6 +880,7 @@ Long list of geospatial analysis tools. Geospatial analysis, or just spatial ana
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* [pyDEM](https://github.com/creare-com/pydem) - Python library for Global Hydrology Analysis. Used to calculate upstream contributing area, aspect, slope, and topographic wetness index.
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* [pyDEM](https://github.com/creare-com/pydem) - Python library for Global Hydrology Analysis. Used to calculate upstream contributing area, aspect, slope, and topographic wetness index.
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* [pygeoapi](https://pygeoapi.io/)pygeoapi is a Python server implementation of the OGC API suite of standards. The project emerged as part of the next generation OGC API efforts in 2018 and provides the capability for organizations to deploy a RESTful OGC API endpoint using OpenAPI, GeoJSON, and HTML.
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* [pygeoapi](https://pygeoapi.io/)pygeoapi is a Python server implementation of the OGC API suite of standards. The project emerged as part of the next generation OGC API efforts in 2018 and provides the capability for organizations to deploy a RESTful OGC API endpoint using OpenAPI, GeoJSON, and HTML.
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* [pyGEOS](https://github.com/pygeos/pygeos) - Exposes geospatial operations from GEOS into Python.
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* [pyGEOS](https://github.com/pygeos/pygeos) - Exposes geospatial operations from GEOS into Python.
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* [pyGMT](https://github.com/GenericMappingTools/pygmt) - Pythonic interface for the Generic Mapping Tools (GMT).
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* [pyimpute](https://github.com/perrygeo/pyimpute) - Python module for geospatial prediction using scikit-learn and rasterio.
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* [pyimpute](https://github.com/perrygeo/pyimpute) - Python module for geospatial prediction using scikit-learn and rasterio.
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* [pyKriging](https://github.com/capaulson/pyKriging) - N-dimensional kriging.
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* [pyKriging](https://github.com/capaulson/pyKriging) - N-dimensional kriging.
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* [pyle38](https://github.com/iwpnd/pyle38) - Asynchronous Client for the worlds fastest in-memory geo-database Tile38
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* [pyle38](https://github.com/iwpnd/pyle38) - Asynchronous Client for the worlds fastest in-memory geo-database Tile38
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