GeoPandas Basics: Maps, Projections, and Spatial Joins

GeoPandas extends pandas to make working with geospatial data in Python intuitive and powerful. If you’re looking to do geospatial tasks in Python and want a library with a pandas-like API, then GeoPandas is an excellent choice. This tutorial shows you how to accomplish four common geospatial tasks: reading in data, mapping it, applying a projection, and doing a spatial join.

By the end of this tutorial, you’ll understand that:

• GeoPandas extends pandas with support for spatial data. This data typically lives in a geometry column and allows spatial operations such as projections and spatial joins, while Folium focuses on richer interactive web maps after data preparation.
• You inspect CRS with .crs and reproject data using .to_crs() with an

   

   

   

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