Fotheringham, Stewart and Charlton, Martin and Brunsdon, Chris (1998) Geographically weighted regression: a natural evolution of the expansion method for spatial data analysis. Environment and Planning A, 30 (11). pp. 1905-1927. ISSN 0308-518X

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Abstract

Geographically weighted regression and the expansion method are two statistical techniques which can be used to examine the spatial variability of regression results across a region and so inform on the presence of spatial nonstationarity. Rather than accept one set of 'global' regression results, both techniques allow the possibility of producing 'local' regression results from any point within the region so that the output from the analysis is a set of mappable statistics which denote local relationships. Within the paper, the application of each technique to a set of health data from northeast England is compared. Geographically weighted regression is shown to produce more informative results regarding parameter variation over space.

Item Type:	Article
Keywords:	Geographically weighted regression; natural evolution; expansion method; spatial data analysis;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > National Centre for Geocomputation, NCG
Item ID:	6102
Identification Number:	https://doi.org/10.1068/a301905
Depositing User:	Martin Charlton
Date Deposited:	12 May 2015 16:01
Journal or Publication Title:	Environment and Planning A
Publisher:	Pion
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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