Geographically Weighted Regression

Beschreibung

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).

Autor*in

A. Stewart Fotheringham

Themen in »Geographically Weighted Regression«

Geographie Geography GIS, Fernerkundung u. Kartographie GIS, Remote Sensing & Cartography

Stimmen zu »Geographically Weighted Regression«

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