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MGWR (Multi-scale Geographically Weighted Regression) is a new release of a Microsoft Windows & MacOS based application software for calibrating multi-scale geographically weighted regression (GWR) models, which can be used to explore geographically varying relationships between dependent/response variables and independent/explanatory variables. 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. A GWR model can be considered a type of regression model with geographically varying parameters.
To learn more about the open-source python package mgwr please visit our git repository at https://github.com/pysal/mgwr .