Articles liés à Geographically Weighted Regression: The Analysis of...

Geographically Weighted Regression: The Analysis of Spatially Varying Relationships - Couverture rigide

Fotheringham, A. Stewart; Brunsdon, Chris; Charlton, Martin

 
9780471496168: Geographically Weighted Regression: The Analysis of Spatially Varying Relationships

Synopsis

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).

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À propos de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.