Geocomputation: A Practical Primer (2015)
Part I: DESCRIBING HOW THE WORLD LOOKS
Chapter 1: Spatial Data Visualisation with R
Chapter 2: Geographical Agents in Three Dimensions
Chapter 3: Scale, Power Laws, and Rank Size in Spatial Analysis
Part II: EXPLORING MOVEMENTS IN SPACE
Chapter 4: Agent-Based Modeling and Geographical Information Systems
Chapter 5: Microsimulation Modelling for Social Scientists
Chapter 6: Spatio-Temporal Knowledge Discovery
Chapter 7: Circular Statistics
Part III: MAKING GEOGRAPHICAL DECISIONS
Chapter 8: Geodemographic Analysis
Chapter 9: Social Area Analysis and Self-Organizing Maps
Chapter 10: Kernel Density Estimation and Percent Volume Contours
Chapter 11: Location-Allocation Models
Part IV: EXPLAINING HOW THE WORLD WORKS
Chapter 12: Geographically Weighted Generalised Linear Modelling
Chapter 13: Spatial Interaction Models
Chapter 14: Python Spatial Analysis Library (PySAL): An Update and Illustration
Chapter 15: Reproducible Research: Concepts, Techniques and Issues
Part V: ENABLING INTERACTIONS
Chapter 17: Public Participation in Geocomputation to Support Spatial Decision-Making
Chapter 18: Storage Box with Drawers
THE FUTURE OF APPLIED GEOCOMPUTATION