Description
Book SynopsisThis 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.
Trade ReviewThis 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
"Rogerson′s book is a cost-effective, comprehensive, and yet easy-to-understand overview of spatial concepts and techniques for students at the undergraduate and graduate levels." p32
"From the reviewer′s perspective, this is an excellent technique with which to teach geography statistics for in-class and assignment-based contexts." p32
"This book is important in the field of spatial statistics with a comprehensive discussion of a broad selection of commonly to less commonly employed spatial statistical tests. The detailed by hand and programmed examples that directly address the goals of the book would enable students to repeat the tests with the supplied data and then apply the techniques and thinking to their own data." 34 -- Christopher Hewitt
Table of ContentsChapter 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
