A. St. Fotherington, Chris Brundson, Martin Charlton

Geographically Weighted Regression

The Analysis of Spatially Varying Relationships

• Gebundenes Buch

Produktbeschreibung

Geographical Weighted Regression (GWR) is a new local modelling technique for analysing spatial analysis. This technique allows local as opposed to global models of relationships to be measured and mapped. This is the first and only book on this technique, offering comprehensive coverage on this new hot topic in spatial analysis.

Provides step-by-step examples of how to use the GWR model using data 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 through to ideas on statistical inference for GWR models
uniquely features accompanying author-written software that allows users to undertake sophisticated and complex forms of GWR within a user-friendly, Windows-based, front-end (see book for details).

Produktdetails

• Verlag: Wiley & Sons
• Seitenzahl: 288
• Erscheinungstermin: 11. Oktober 2002
• Englisch
• Abmessung: 260mm x 183mm x 20mm
• Gewicht: 680g
• ISBN-13: 9780471496168
• ISBN-10: 0471496162
• Artikelnr.: 10538156

Autorenporträt

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.

Inhaltsangabe

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

Rezensionen

"...this excellent volume..." (Geomatics World, July/August 2003)