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Robustā universālā krigēšana×Telpiskās nobīdes modelis (SAR / Telpiskais autoregresīvais)×
NozareTelpiskā analīzeTelpiskā analīze
SaimeRegression modelRegression model
Izcelsmes gads1980s–1990s1988
AutorsDeveloped through contributions of Cressie, Genton, and Rousseeuw in geostatistics and robust statisticsAnselin (textbook formalisation); LeSage & Pace
TipsSpatial interpolation modelSpatial autoregressive regression
PirmavotsCressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience, New York. ISBN: 978-0471002550Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗
Citi nosaukumiRUK, robust kriging with external drift, outlier-resistant universal kriging, robust geostatistical regression krigingSAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
Saistītās45
KopsavilkumsRobust Universal Kriging (RUK) is a geostatistical interpolation method that combines a spatially varying deterministic trend with a stochastic residual surface, while using robust estimators to protect the variogram and trend coefficients from the distorting influence of outlying observations.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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ScholarGateSalīdzināt metodes: Robust Universal Kriging · Spatial Lag Model. Izgūts 2026-06-17 no https://scholargate.app/lv/compare