mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale
Oshan, T.M.; Li, Z.; Kang, W.; Wolf, L.J.; Fotheringham, A.S. mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale. ISPRS Int. J. Geo-Inf. 2019, 8, 269. https://doi.org/10.3390/ijgi8060269
Oshan TM, Li Z, Kang W, Wolf LJ, Fotheringham AS. mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale. ISPRS International Journal of Geo-Information. 2019; 8(6):269. https://doi.org/10.3390/ijgi8060269
Chicago/Turabian StyleOshan, Taylor M.; Li, Ziqi; Kang, Wei; Wolf, Levi J.; Fotheringham, A. S. 2019. "mgwr: A Python Implementation of Multiscale Geographically Weighted Regression for Investigating Process Spatial Heterogeneity and Scale" ISPRS Int. J. Geo-Inf. 8, no. 6: 269. https://doi.org/10.3390/ijgi8060269