Wraps GEOS geometry functions in numpy ufuncs.
Las características principales de pygeos/pygeos son: Geospatial Frameworks, Python Geospatial Libraries.
Las alternativas de código abierto para pygeos/pygeos incluyen: jswhit/pyproj — Python interface to PROJ (cartographic projections and coordinate transformations library). geopandas/geopandas — GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic… banesullivan/localtileserver — dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium. buntinglabs/mundipy — mundipy is a Python framework for spatial data manipulation. ceholden/yatsm — Yet Another Time Series Model. ben-nour/geojson-shave — A command-line tool for reducing the size of GeoJSON files.
Python interface to PROJ (cartographic projections and coordinate transformations library)
GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic geometries—points, lines, and polygons—as a first-class column type within DataFrames, enabling users to store, manipulate, and analyze vector spatial data alongside traditional tabular attributes. The library is built on top of proven geospatial components: it uses Shapely for all geometric operations, Fiona and GDAL for reading and writing standard spatial file formats, PyProj for coordinate reprojection, and an R‑tree spatial index (from Shapely) to accelerate spatial queries. Wh
dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium
A command-line tool for reducing the size of GeoJSON files.