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Lokalni model prostornog zaostajanja×Model prostornog zaostajanja (SAR / Prostorni autoregresijski)×
PodručjeProstorna analizaProstorna analiza
ObiteljRegression modelRegression model
Godina nastanka1988 (global); 2000s (local extensions)1988
TvoracAnselin (global SLM, 1988); local extension via Fotheringham, Brunsdon & Charlton (GWR framework, 2002)Anselin (textbook formalisation); LeSage & Pace
VrstaSpatially varying regression modelSpatial autoregressive regression
Temeljni izvorAnselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737215Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗
Drugi nazivilocal SLM, geographically weighted spatial lag model, GW-SLM, spatially varying lag modelSAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
Srodne55
SažetakThe Local Spatial Lag Model extends the classical spatial lag model by allowing both the spatial autocorrelation parameter and the regression coefficients to vary across geographic locations. Instead of one global estimate of how neighboring outcomes influence each observation, the model fits location-specific parameters using kernel-weighted local estimation, revealing spatial heterogeneity in spatial dependence.The Spatial Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts.
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  3. PUBLISHED

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ScholarGateUsporedite metode: Local Spatial Lag Model · Spatial Lag Model. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare