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Prostorni Durbin model (SDM)×Kriging prostorna interpolacija×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka20091963
TvoracLeSage & PaceGeorges Matheron (formalised geostatistics)
TipSpatial regression modelGeostatistical spatial interpolation
Temeljni izvorLeSage, J. & Pace, R. K. (2009). Introduction to Spatial Econometrics. CRC Press. DOI ↗Matheron, G. (1963). Principles of Geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗
Drugi naziviSDM, spatial mixed model, uzamsal durbin modeligeostatistical interpolation, Gaussian process regression (geostatistics), ordinary kriging, Kriging (Mekânsal Enterpolasyon)
Srodne55
SažetakThe Spatial Durbin Model is a general spatial regression model that includes a spatial lag of both the dependent variable (ρWy) and the explanatory variables (WXθ). Introduced as the recommended starting point by LeSage and Pace (2009), it nests the spatial autoregressive (SAR) and spatial error (SEM) models as special cases.Kriging is a geostatistical method that predicts the value of a continuous variable at unmeasured locations from nearby measurements, using the spatial correlation structure captured by a variogram. Formalised by Georges Matheron in 1963, it is the best linear unbiased predictor (BLUP) for spatial data and comes in Ordinary, Universal, and Co-Kriging forms.
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ScholarGateUporedite metode: Spatial Durbin Model · Kriging. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare