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A. Stewart Fotheringham - Geographically Weighted Regression - 9780471496168 - V9780471496168
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Geographically Weighted Regression

€ 157.82
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Description for Geographically Weighted Regression Hardcover. 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. Num Pages: 282 pages, Illustrations. BIC Classification: RGW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 256 x 186 x 22. Weight in Grams: 680.
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
... Read more

Product Details

Format
Hardback
Publication date
2002
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
282
Condition
New
Number of Pages
288
Place of Publication
New York, United States
ISBN
9780471496168
SKU
V9780471496168
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50

About A. Stewart Fotheringham
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.

Reviews for Geographically Weighted Regression
"...this excellent volume..." (Geomatics World, July/August 2003)

Goodreads reviews for Geographically Weighted Regression


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