Table of Contents

• Prologue

Part I: Building Blocks

• Geographic Thinking for Data Scientists
• Geospatial Computational Environment
• Spatial data
• Spatial weights

Part II: Spatial Data Analysis

• Choropleth Mapping
• Spatial Autocorrelation
• Local Spatial Autocorrelation
• Point Pattern Analysis

Part III: Advanced Topics

• Spatial Inequality
• Clustering and Regionalization
• Spatial Regression
• Spatial Feature Engineering

Endmatter

• References