Geographically weighted regressionÐmodelling spatial non-stationarity

  title={Geographically weighted regressionÐmodelling spatial non-stationarity},
  author={Chris Brunsdon and Martin Charlton},
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. 

5 Figures & Tables



Citations per Year

130 Citations

Semantic Scholar estimates that this publication has 130 citations based on the available data.

See our FAQ for additional information.