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Model prostorno-vremenskog prostornog zaostajanja×Prostorna autokorelacija×
PodručjeProstorna analizaProstorna analiza
ObiteljRegression modelRegression model
Godina nastanka2003-20081950
TvoracAnselin, Le Gallo & Jayet; ElhorstP. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
VrstaSpatial panel regressionSpatial statistic / exploratory spatial data analysis
Temeljni izvorAnselin, L., Le Gallo, J., & Jayet, H. (2008). Spatial Panel Econometrics. In L. Matyas & P. Sevestre (Eds.), The Econometrics of Panel Data (pp. 625-660). Springer. link ↗Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗
Drugi naziviST-SAR, spatial-temporal lag model, spatiotemporal autoregressive model, space-time SAR modelspatial dependence, geographic autocorrelation, spatial clustering measure, SA
Srodne55
SažetakThe Space-Time Spatial Lag Model extends the classic spatial autoregressive (SAR) lag model to panel data, capturing how the outcome in each location at each time point is influenced by the contemporaneous outcomes of neighboring locations, while also controlling for unit-specific and time-specific fixed effects.Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations.
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ScholarGateUsporedite metode: Space-Time Spatial Lag Model · Spatial Autocorrelation. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare