Vertaile menetelmiä

	Paikallinen spatiaalinen regressio	Paikallisesti painotettu regressio (GWR)
Tieteenala	Spatiaalianalyysi	Spatiaalianalyysi
Menetelmäperhe	Regression model	Regression model
Syntyvuosi	1996	2002
Kehittäjä	Brunsdon, Fotheringham & Charlton	Fotheringham, Brunsdon & Charlton
Tyyppi	Spatially varying coefficient regression	Local spatial regression
Alkuperäislähde	Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168	Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Rinnakkaisnimet	locally weighted spatial regression, spatially varying coefficient model, local spatial model, place-based regression	GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Liittyvät	6	5
Tiivistelmä	Local Spatial Regression fits a separate regression model at each location in a study area, allowing regression coefficients to vary continuously across space. Rather than forcing one global slope on all observations, it reveals where and how the relationship between predictors and an outcome changes geographically — producing a map of coefficients rather than a single number.	Geographically Weighted Regression is a local regression method, introduced by Fotheringham, Brunsdon and Charlton (2002), that allows the regression coefficients to vary across space. Instead of one global equation, it fits a separate set of coefficients at every location, capturing spatial heterogeneity in the relationships.