Geographically Weighted Regression: The Analysis of Spatially Varying Relationships

October 11, 2002|
Geographically Weighted Regression: The Analysis of Spatially Varying Relationships by A. Stewart Fotheringham
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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.
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Title:Geographically Weighted Regression: The Analysis of Spatially Varying RelationshipsFormat:HardcoverProduct dimensions:284 pages, 9.78 X 6.89 X 0.94 inShipping dimensions:284 pages, 9.78 X 6.89 X 0.94 inPublished:October 11, 2002Publisher:WileyLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0471496162

ISBN - 13:9780471496168

Appropriate for ages: All ages

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