Multiscale Geographically Weighted Regression (MGWR)ΒΆ

mgwr is a Python implementation of multiscale geographically weighted regression for investigating process spatial heterogeneity and scale. It incorporates the widely used approach to modeling process spatial heterogeneity - Geographically Weighted Regression (GWR) as well as the newly proposed approach - Multiscale GWR (MGWR) which relaxes the assumption that all of the processes being modeled operate at the same spatial scale. Inferences are available for both approaches.