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Geographically Weighted Regression (GWR)×Test prostorne autokorelacije Moranov I×
PodručjeProstorna analizaProstorna analiza
ObiteljRegression modelRegression model
Godina nastanka20021950
TvoracFotheringham, Brunsdon & CharltonPatrick A. P. Moran
VrstaLocal spatial regressionGlobal spatial autocorrelation statistic
Temeljni izvorFotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168Moran, P.A.P. (1950). Notes on Continuous Stochastic Phenomena. Biometrika, 37(1/2), 17–23. DOI ↗
Drugi naziviGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)global Moran's I, spatial autocorrelation test, Moran's I Uzamsal Otokorelasyon Testi
Srodne55
SažetakGeographically 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.Moran's I is a global statistic, introduced by Patrick Moran in 1950, that measures whether and how a continuous variable is spatially autocorrelated across mapped units. A positive value signals clustering of similar values, a negative value signals a dispersed (checkerboard) pattern, and it is most often used as a diagnostic before moving to spatial regression.
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ScholarGateUsporedite metode: Geographically Weighted Regression · Moran's I. Preuzeto 2026-06-18 s https://scholargate.app/hr/compare