Geographically weighted regression - modelling spatial non-stationarity

Chris Brunsdon

353 citations0/0 files storedNewcastle University ePrints (Newcastle Univesity)

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Spatial and Panel Data Analysis Regional Economic and Spatial Analysis demographic modeling and climate adaptation

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.

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