9. Hotspot Analysis
Overview
In this chapter, we will perform hotspot analysis. We will also visualize the results of hotspot analysis. We will use kernel density estimation, which is the most popular algorithm for building distributions using a collection of observations. We will build kernel density estimation models. We will describe the fundamentals behind probability density functions. By the end of the chapter, you should be able to leverage Python libraries to build multi-dimensional density estimation models and work with geo-spatial data.
Introduction
In the preceding chapter, we explored market basket analysis. Market basket analysis, as you hopefully recall, is an algorithm that seeks to understand the relationships between ...
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