Part 2: Exploratory Spatial Data Analysis

Part 2 of this book focuses on exploratory spatial data analysis. In this section, you’ll learn how to craft maps and mapping applications using a variety of Python packages. Through these maps and apps, you’ll explore your spatial data and begin your spatial analysis. During this analysis, it is common to theorize hypotheses and begin to test those hypotheses. These hypothesis tests will help you better understand your data and the patterns they present. In the last chapter of this part of the book, you’ll be introduced to spatial feature engineering, where you’ll derive new attributes from your preexisting data. The lessons learned in this part of the book will enable you to successfully execute a variety of geospatial data science case studies in Part 3.

This part comprises the following chapters:

• Chapter 5, Exploratory Data Visualization
• Chapter 6, Hypothesis Testing and Spatial Randomness
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