Welcome to the Geographically Weighted Regression website. GWR is a method of analysing spatially varying relationships. This usually involves fitting a model to predict the values of one variable (response or dependent variable) from a set of one or more independent (predictor) variables. Models with Gaussian, logistic or Poisson forms can be fitted.
You can find a convenient treatment in our book, Geographically Weighted Regression: the analysis of spatially varying relationships, or more detailed treatment in some of the references we have provided.
On other pages you will information relating to GWR, theoretical aspects, software, and further contact details.