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Lokalna prostorna regresija×Prostorni Durbin model (SDM)×
PodručjeProstorna analizaProstorna analiza
ObiteljRegression modelRegression model
Godina nastanka19962009
TvoracBrunsdon, Fotheringham & CharltonLeSage & Pace
VrstaSpatially varying coefficient regressionSpatial regression model
Temeljni izvorFotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168LeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗
Drugi nazivilocally weighted spatial regression, spatially varying coefficient model, local spatial model, place-based regressionSDM, spatial mixed model, uzamsal durbin modeli
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.The 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.
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ScholarGateUsporedite metode: Local Spatial Regression · Spatial Durbin Model. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare