Geographically Weighted Regression

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.

# Spatial and Panel Data Analysis # Economics, Econometrics and Finance # demographic modeling and climate adaptation # Social Sciences # Regional Economic Trends and Sectoral Structure

Chris Brunsdon, Alexander Stewart Fotheringham, Martin E. Charlton (1998). "Geographically Weighted Regression". Journal of the Royal Statistical Society Series D (The Statistician). https://doi.org/10.1111/1467-9884.00145