Geographically weighted regressionÐmodelling spatial non-stationarity

@inproceedings{Brunsdon1998GeographicallyWR,
  title={Geographically weighted regressionÐmodelling spatial non-stationarity},
  author={Chris Brunsdon and Martin Charlton},
  year={1998}
}
In regression models where the cases are geographical locations, sometimes regression coef®cients do not remain ®xed over space. A technique for exploring this phenomenon, geographically weighted regression is introduced. A related Monte Carlo signi®cance test for spatial non-stationarity is also considered. Finally, an example of the method is given, using limiting longterm illness data from the 1991 UK census. 

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