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Raum-Zeit-Modell mit räumlichem Lag×Räumliche Autokorrelation×
FachgebietRäumliche AnalyseRäumliche Analyse
FamilieRegression modelRegression model
Entstehungsjahr2003-20081950
UrheberAnselin, Le Gallo & Jayet; ElhorstP. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
TypSpatial panel regressionSpatial statistic / exploratory spatial data analysis
Wegweisende QuelleAnselin, 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 ↗
AliasnamenST-SAR, spatial-temporal lag model, spatiotemporal autoregressive model, space-time SAR modelspatial dependence, geographic autocorrelation, spatial clustering measure, SA
Verwandt55
ZusammenfassungThe 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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ScholarGateMethoden vergleichen: Space-Time Spatial Lag Model · Spatial Autocorrelation. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare