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
This package was mostly an excuse to sync up some #rstats, GIS, and D3 tricks.
R package for thematic maps
The main features of mtennekes/tmap are: Geospatial Mapping, Spatial Analysis, R Spatial Analysis Tools.
Open-source alternatives to mtennekes/tmap include: symbolixau/googleway — R Package for accessing and plotting Google Maps. symbolixau/mapdeck — R interface to Deck.gl and Mapbox. daranzolin/quickglobe — This package was mostly an excuse to sync up some #rstats, GIS, and D3 tricks. geopandas/geopandas — GeoPandas is a Python library that extends pandas with native support for geospatial data. It treats geographic… turfjs/turf — Turf is a JavaScript and TypeScript geospatial analysis library and toolkit used for performing spatial analysis and… memgraph/memgraph — Memgraph is an in-memory, distributed graph database designed for high-performance labeled property graph management.…
