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Spatial Statistical Methods for Geography
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Spatial Statistical Methods for Geography

  • Peter A. Rogerson - State University of New York, Buffalo, USA, University of Buffalo, USA
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March 2021 | 256 pages | SAGE Publications Ltd

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.

 
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

This book provides a lively introduction into spatial statistics. Several test statistics are presented and discussed from a traditional statistical point of departure. I can recommend the book in particular to quantitative geographers interested in spatial statistics.

Alfred Stein
University of Twente

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Paperback
ISBN: 9781529707441
£34.99

Hardcover
ISBN: 9781529707458
£100.00