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Model Durbin Spatial (SDM)×Interpolasi Spatial Kriging×
BidangAnalisis ReruangAnalisis Reruang
KeluargaRegression modelRegression model
Tahun asal20091963
PengasasLeSage & PaceGeorges Matheron (formalised geostatistics)
JenisSpatial regression modelGeostatistical spatial interpolation
Sumber perintisLeSage, 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 ↗
AliasSDM, spatial mixed model, uzamsal durbin modeligeostatistical interpolation, Gaussian process regression (geostatistics), ordinary kriging, Kriging (Mekânsal Enterpolasyon)
Berkaitan55
RingkasanThe 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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ScholarGateBandingkan kaedah: Spatial Durbin Model · Kriging. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare