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Model prostora i vremena sa prostornom greškom×Geographically Weighted Regression (GWR)×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka1988 (SEM); 2003 (panel/space-time extension)2002
TvoracAnselin (1988); panel extension by Elhorst (2003, 2014)Fotheringham, Brunsdon & Charlton
TipSpatial panel regressionLocal spatial regression
Temeljni izvorAnselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic Publishers. ISBN: 978-9024737247Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Drugi naziviSEM panel, spatial error panel model, space-time SEM, spatiotemporal error modelGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Srodne65
SažetakThe Space-Time Spatial Error Model (space-time SEM) is a spatial panel regression technique that accounts for spatial dependence confined to the error term across geographic units and time periods. It corrects biased inference caused by spatially correlated disturbances while estimating covariate effects on a panel of spatial observations.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: Space-Time Spatial Error Model · Geographically Weighted Regression. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare