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Geographically Weighted Regression - A. Stewart Fotheringham, Chris Brunsdon, Martin Charlton

Geographically Weighted Regression

The Analysis of Spatially Varying Relationships
Buch | Hardcover
288 Seiten
2002
John Wiley & Sons Inc (Verlag)
978-0-471-49616-8 (ISBN)
CHF 229,95 inkl. MwSt
Geographical Weighted Regression (GWR) is a local modelling technique for analysing spatial analysis. This technique allows local as opposed to global models of relationships to be measured and mapped. This book focuses on this technique.
Geographical Weighted Regression (GWR) is a new local modellingtechnique for analysing spatial analysis. This technique allowslocal as opposed to global models of relationships to be measuredand mapped. This is the first and only book on this technique,offering comprehensive coverage on this new 'hot' topic in spatialanalysis.


* Provides step-by-step examples of how to use the GWR model usingdata sets and examples on issues such as house price determinants,educational attainment levels and school performance statistics
* Contains a broad discussion of and basic concepts on GWR throughto ideas on statistical inference for GWR models
* uniquely features accompanying author-written software thatallows users to undertake sophisticated and complex forms of GWRwithin a user-friendly, Windows-based, front-end (see book fordetails).

A. Stewart Fotheringham, Professor of Quantitative Geography, University of Newcastle. Chris Brunsdon, Senior Lecturer in Spatial Analysis, University of Newcastle. Martin Charlton, Lecturer in Geographical Information Systems, University of Newcastle.

Acknowledgements xi 1. Local Statistics and Local Models for Spatial Data 1

2. Geographically Weighted Regression: The Basics 27

3. Extensions to the Basic GWR Model 65

4. Statistical Inference and Geographically Weighted Regression 83

5. GWR and Spatial Autocorrelation 103

6. Scale Issues and Geographically Weighted Regression 127

7. Geographically Weighted Local Statistics 159

8. Extensions of Geographically Weighting 187

9. Software for Geographically Weighted Regression 207

Epilogue 241

Bibliography 255

Index 267

Erscheint lt. Verlag 29.8.2002
Verlagsort New York
Sprache englisch
Maße 175 x 249 mm
Gewicht 680 g
Themenwelt Naturwissenschaften Geowissenschaften Allgemeines / Lexika
Naturwissenschaften Geowissenschaften Geografie / Kartografie
ISBN-10 0-471-49616-2 / 0471496162
ISBN-13 978-0-471-49616-8 / 9780471496168
Zustand Neuware
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