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Prostorni Durbin model (SDM)×Geographically Weighted Regression (GWR)×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka20092002
TvoracLeSage & PaceFotheringham, Brunsdon & Charlton
TipSpatial regression modelLocal spatial regression
Temeljni izvorLeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Drugi naziviSDM, spatial mixed model, uzamsal durbin modeliGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Srodne55
SažetakThe Spatial Durbin Model is a general spatial regression model that includes a spatial lag of both the dependent variable (ρWy) and the explanatory variables (WXθ). Introduced as the recommended starting point by LeSage and Pace (2009), it nests the spatial autoregressive (SAR) and spatial error (SEM) models as special cases.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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ScholarGateUporedite metode: Spatial Durbin Model · Geographically Weighted Regression. Preuzeto 2026-06-18 sa https://scholargate.app/sr/compare