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Abstract
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.
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