Spatial Statistical Methods for Geography

AvPeter A. Rogerson

Inbunden, Engelska, 2021

3 407 kr

Beställningsvara. Skickas inom 3-6 vardagar. Fri frakt över 249 kr.

Fler format och utgåvor

Häftad

566 kr

E-bok

638 kr

Beskrivning

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.

Produktinformation

Utgivningsdatum:2021-03-25
Mått:170 x 242 x 18 mm
Vikt:590 g
Format:Inbunden
Språk:Engelska
Antal sidor:256
Upplaga:1
Förlag:SAGE Publications
ISBN:9781529707458

Utforska kategorier

Mer om författaren

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.

Recensioner i media

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.

Innehållsförteckning

Chapter 1: Introduction to spatial statistical methods for geographyChapter 2: A quick review of some key material from introductory statisticsChapter 3: Selected measures for descriptive spatial statistical analysisChapter 4: Statistical inference and spatial patternsChapter 5: Global testsChapter 6: Local testsChapter 7: Tests for the detection of clustering: scan testsChapter 8: Spatial means, spatial models, and spatial regression