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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
Python interface to PROJ (cartographic projections and coordinate transformations library)
The main features of juliageometry/coordinatetransformations.jl are: Geospatial Frameworks.
Projects with overlapping indexed features include: cleder/pygeoif. geopandas/geopandas — GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic… jl2/utm — Lisp library for converting between latitude/longitude and UTM. jswhit/pyproj — Python interface to PROJ (cartographic projections and coordinate transformations library). juliageo/geodesy.jl — Work with points defined in various coordinate systems. juliageo/geointerface.jl — A Julia Protocol for Geospatial Data.