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Prostorno-vremenska prostorna regresija×Model prostornog kašnjenja (SAR / Spatial Autoregressive)×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka1990s–2000s1988
TvoracAnselin, LeSage, Pace and colleagues in spatial econometricsAnselin (textbook formalisation); LeSage & Pace
TipSpatio-temporal regression modelSpatial autoregressive regression
Temeljni izvorLeSage, J. P., & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press / Taylor & Francis. ISBN: 978-1420064247Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗
Drugi nazivispatio-temporal regression, spatial panel regression, space-time regression, ST spatial regressionSAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
Srodne65
SažetakSpace-Time Spatial Regression extends classical spatial regression to panel settings where georeferenced units are observed across multiple time periods. By embedding a spatial weights matrix into a panel regression framework, it simultaneously controls for spatial dependence among cross-sectional units and temporal dynamics, yielding unbiased and consistent estimates in spatio-temporal data.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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ScholarGateUporedite metode: Space-Time Spatial Regression · Spatial Lag Model. Preuzeto 2026-06-15 sa https://scholargate.app/sr/compare