Summary

In this chapter, we’ve introduced you to a number of Python packages that you’ll frequently leverage in your day-to-day work as a geospatial data scientist. In this chapter, you learned about a variety of packages, such as GeoPandas and Rasterio, for easily reading, manipulating, and writing geospatial vector and raster data structures. In the second part of the chapter, you learned about PySAL and its ecosystem of packages for exploring, modeling, and visualizing geospatial data. The last section of this chapter introduced you to five geospatial packages that enable you to produce production-quality static and interactive geospatial data visualizations.

With these packages, you can now interact with geospatial data and their underlying geometries. Interacting with data is one of the first steps in any data science pipeline. You also now have the skills to produce a variety of geospatial data visualizations, which will be important as you tell the story of...