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Spatial Statistical Methods for Geography

Autor Peter A. Rogerson
en Limba Engleză Paperback – 28 mar 2021
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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Specificații

ISBN-13: 9781529707441
ISBN-10: 1529707447
Pagini: 256
Dimensiuni: 170 x 242 x 21 mm
Greutate: 0.41 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications Ltd
Locul publicării:London, United Kingdom

Recenzii

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.

Cuprins

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

Notă biografică

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.

Descriere

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.