Toggle Main Menu Toggle Search

Open Access padlockePrints

Geographically weighted regression - modelling spatial non-stationarity

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

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


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 Carte 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): Brunsdon CF, Fotheringham AS, Charlton ME

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


Altmetrics

Altmetrics provided by Altmetric


Share