Comparer des méthodes

	Krigage Universel Local	Co-krigage : interpolation géostatistique multivariée
Domaine	Analyse spatiale	Analyse spatiale
Famille	Regression model	Regression model
Année d'origine	1969/1997	1965-1978
Auteur d'origine	Matheron, G. (trend/drift kriging); local neighborhood approach standard in geostatistical practice	Matheron, G.; extended by Journel & Huijbregts
Type	Spatial interpolation model	Geostatistical interpolation
Source fondatrice	Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 9780195115383	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561
Alias	local UK, local kriging with trend, local KED, local kriging with external drift	cokriging, co-regionalization kriging, multivariate kriging, CK
Apparentées	5	5
Résumé	Local Universal Kriging is a geostatistical interpolation method that combines a spatially varying deterministic trend with a stochastic residual, estimated using only nearby observations within a defined search neighborhood. It generalizes local ordinary kriging by explicitly modeling and removing a polynomial or covariate-driven drift before interpolating the residual surface.	Co-kriging is a geostatistical interpolation technique that predicts the spatial distribution of a primary variable by leveraging its spatial cross-correlation with one or more secondary (co-) variables. It extends ordinary kriging to multivariate settings, yielding more accurate predictions when the secondary variable is more densely sampled or spatially correlated with the primary variable of interest.