Spatial Clustering and Regionalization

You’ve learned a lot so far and it has brought you to the final section of this book, Part 3, Geospatial Modeling Case Studies. In this section, you’ll leverage all of the skills you gained so far and develop additional skills, as you work to implement geospatial models throughout a number of case study exercises. These case studies are applicable across a number of industries and will provide you with code that can be modified and enhanced in your work down the road.

In this chapter, we will discuss how you can use geospatial data and methods to assemble your observations into groups known as clusters. The process of creating clusters is known as clustering, which leverages unsupervised machine-learning techniques to define the clusters. Clustering is known as an unsupervised process because there is no ground truth value that you’re training your algorithm on. Instead, clustering attempts to derive structure from the...