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Geographically weighted regression - modelling spatial non-stationarity

Lookup NU author(s): M Charlton, Dr Christopher Brunsdon, Professor Alexander Fotheringham

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Abstract

In regression models where the cases are geographical locations, sometimes regression coefficients do not remain fixed over space. A technique for exploring this phenomenon, geographically weighted regression is introduced. A related Monte Carlo significance test for spatial non-stationarity is also considered. Finally, an example of the method is given, using limiting long-term illness data from the 1991 UK census.

Publication metadata

Author(s): Charlton ME, Brunsdon CF, Fotheringham AS

Publication type: Article

Publication status: Published

Journal: Journal of The Royal Statistical Society, Series D: The Statistician

Year: 1998

Volume: 47

Issue: 3

Pages: 431-443

ISSN (print): 0039-0526

ISSN (electronic): 1467-9884

URL: http://dx.doi.org/10.1111/1467-9884.00145

DOI: 10.1111/1467-9884.00145

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