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Python Geospatial Analysis Essentials by Erik Westra

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Summary

In this chapter, you learned about two new useful libraries for analyzing geospatial data. We then looked at various techniques for manipulating and analyzing spatial data, including ways of accurately calculating distances, lengths, locations, and areas.

Next, we looked at how to convert intersecting roads into a planar graph, which we stored in a shapefile so that we could perform a shortest-path calculation based on the road data. Finally, we wrote a program to calculate the shortest path between any two points. As we worked through these various problems, we learned a number of techniques for manipulating and analyzing geospatial data—techniques which you will use regularly when you write your own programs for geospatial analysis.

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