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Lookup NU author(s): Dr Christopher Brunsdon, Emeritus Professor Murray Aitkin, Professor Alexander Fotheringham, M Charlton
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The problem of locally varying coefficients in geographical applications is considered. Two approaches to this are then discussed-geographically weighted regression and random coefficient models. The latter is considered in two forms: firstly, the case that only the intercept coefficient is random; and then the case in which all coefficients are random. All these techniques are applied to a data set derived from the 1991 UK Census of Population relating to limiting long-term illness.
Author(s): Brunsdon CF, Aitkin M, Fotheringham AS, Charlton ME
Publication type: Article
Publication status: Published
Journal: Geographical and Environmental Modelling
Year: 1999
Volume: 3
Issue: 1
Pages: 47-62
Print publication date: 01/05/1999
ISSN (print): 1361-5939
ISSN (electronic): 1469-8323
URL: http://search.ebscohost.com/login.aspx?direct=true&db=buh&AN=7561263&site=ehost-live
