Combining Geovisual Analytics with spatial statistics: the example of Geographically Weighted Regression

An attempt is made to facilitate interpretation of the results of a spatial statistical method - Geographically Weighted Regression (GWR) - using a geovisual exploratory approach. The GWR parameter space is treated as a multivariate dataset and explored in a geovisual exploratory environment with the goal to identify spatial and multivariate patterns that describe the spatial variability of the parameters and underlying spatial processes.