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Learning Geospatial Analysis with Python - Second Edition by Joel Lawhead

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Chapter 8. Advanced Geospatial Python Modeling

In this chapter, we'll build on the data processing concepts that you've learned up to this point to create some full-scale information products. We will introduce some important geospatial algorithms commonly used in agriculture, emergency management, logistics, and other industries.

We'll create the following products in this chapter:

  • A crop health map
  • A flood inundation model
  • A colorized hillshade
  • A terrain routing map
  • A street routing map
  • A shapefile with links to geolocated photos

While these products are task specific, the algorithms used to create them are widely applied in geospatial analysis. The examples in this chapter are longer and more complex than in the previous chapters. For that reason, ...

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