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Lokalni prostorni Durbin model×Lokalna prostorna regresija×
PodručjeProstorna analizaProstorna analiza
ObiteljRegression modelRegression model
Godina nastanka2002–20091996
TvoracLeSage & Pace (SDM foundation); local adaptation via Fotheringham et al. GWR frameworkBrunsdon, Fotheringham & Charlton
VrstaSpatially varying regression modelSpatially varying coefficient regression
Temeljni izvorLeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Drugi nazivilocal SDM, geographically weighted Spatial Durbin Model, GW-SDM, spatially varying Durbin modellocally weighted spatial regression, spatially varying coefficient model, local spatial model, place-based regression
Srodne56
SažetakThe Local Spatial Durbin Model (Local SDM) extends the global Spatial Durbin Model by allowing regression coefficients to vary across geographic space. It combines the SDM's ability to capture both spatial lag of the dependent variable and spatial lags of covariates with a geographically weighted estimation framework, producing location-specific direct and indirect spillover effects.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.
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ScholarGateUsporedite metode: Local Spatial Durbin Model · Local Spatial Regression. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare