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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…mehr
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.
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Autorenporträt
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.
Inhaltsangabe
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
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
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
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
Rezensionen
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
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