Geographically Weighted Regression ：The Analysis of Spatially Varying Relationships

Publication subTitle ：The Analysis of Spatially Varying Relationships

Author： A. Stewart Fotheringham  

Publisher： John Wiley & Sons Inc‎

Publication year： 2003

E-ISBN: 9780470855256

P-ISBN(Hardback):  9780471496168

Subject： P91 mathematical geography

Language： ENG

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Description

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).

Chapter

Contents

pp.：  9 – 13

Acknowledgements

pp.：  13 – 15

1 Local Statistics and Local Models for Spatial Data

pp.：  15 – 41

2 Geographically Weighted Regression: The Basics

pp.：  41 – 79

3 Extensions to the Basic GWR Model

pp.：  79 – 97

4 Statistical Inference and Geographically Weighted Regression

pp.：  97 – 117

5 GWR and Spatial Autocorrelation

pp.：  117 – 141

6 Scale Issues and Geographically Weighted Regression

pp.：  141 – 173

7 Geographically Weighted Local Statistics

pp.：  173 – 201

8 Extensions of Geographical Weighting

pp.：  201 – 221

9 Software for Geographically Weighted Regression

pp.：  221 – 255

10 Epilogue

pp.：  255 – 269

Bibliography

pp.：  269 – 281

Index

pp.：  281 – 283

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