This accessible new textbook offers a straightforward introduction to doing spatial statistics. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data.
The book assumes basic mathematical and statistics knowledge but also provides a handy refresher guide, so that you can develop your understanding and progress confidently. It also:
· Equips you with the tools to both interpret and apply spatial statistical methods
· Engages with the unique considerations that apply when working with geographic data
· Helps you build your knowledge of key spatial statistical techniques, such as methods of geographic cluster detection.
表中的内容
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
关于作者
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.
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