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Lokalna prostorna regresija×Geographically Weighted Regression (GWR)×
PodručjeProstorna analizaProstorna analiza
ObiteljRegression modelRegression model
Godina nastanka19962002
TvoracBrunsdon, Fotheringham & CharltonFotheringham, Brunsdon & Charlton
VrstaSpatially varying coefficient regressionLocal spatial regression
Temeljni izvorFotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Drugi nazivilocally weighted spatial regression, spatially varying coefficient model, local spatial model, place-based regressionGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Srodne65
SažetakLocal 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.
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ScholarGateUsporedite metode: Local Spatial Regression · Geographically Weighted Regression. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare