Brunsdon CF

Charlton ME

Fotheringham AS

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

Newcastle University E-Prints

Geographically weighted regression - modelling spatial non-stationarity

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

Geographically weighted regression - modelling spatial non-stationarity

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Newcastle University E-Prints

Newcastle University E-Prints