geopandas

Spatial joins and overlay operations on vector data are performed using this Skill's built-in geometric operations. It allows you to merge, dissolve, and analyze spatial relationships between different geometric datasets.

Coordinate reference systems for geospatial data can be managed and transformed using this Skill. It relies on pyproj to accurately handle spatial coordinate transformations across various vector data formats.

Visualizing geospatial data is handled by integrating with matplotlib, folium, and cartopy. This Skill enables creating both static maps and interactive visualizations directly from your vector data objects.

Reading and writing spatial data formats like GeoJSON is supported natively. This Skill provides functions to load vector data from files, perform geometric operations, and export the modified spatial datasets.

Geopandas works with shapely to execute geometric operations such as buffering, simplifying, and calculating areas or distances. Shapely serves as the underlying engine for these spatial calculations.

For interactive spatial analysis maps, you need optional dependencies like folium and cartopy alongside the required geopandas, shapely, and pyproj. These enable advanced visualization capabilities for your geospatial data.