This accessible new textbook offers a straightforward introduction to doing spatial statistics in the context of unique considerations that apply with geographic data. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data.

Peter A. Rogerson is SUNY (State University of New York) Distinguished Professor in the Department of Geography at the University at Buffalo, Buffalo, New York, USA. He also holds an adjunct appointment in the Department of Biostatistics.

Chapter 1: Introduction to spatial statistical methods for geography
Chapter 2: A quick review of some key material from introductory statistics
Chapter 3: Selected measures for descriptive spatial statistical analysis
Chapter 4: Statistical inference and spatial patterns
Chapter 5: Global tests
Chapter 6: Local tests
Chapter 7: Tests for the detection of clustering: scan tests
Chapter 8: Spatial means, spatial models, and spatial regression