In previous chapters, we examined tools that help us answer where questions. For example, where do burglaries cluster in a particular city? However, you may have noticed that they didn't address the logical progression of the problem such as why are the burglaries occurring in the first place? What are the factors that determine why burglaries are prevalent in a particular area? Answering these types of questions helps us model the relationships in our data. The Measuring Spatial Relationships toolset contains a number of regression analysis tools that help you examine and/or quantify the relationships among features. They help measure how features in a dataset relate to each other in space.

In this chapter, you will learn how to use many of these tools to gain an understanding of a phenomenon, create predictive models of a phenomenon, and explore hypotheses. The following tools will be used to model the relationships between various...