Comparer des méthodes

	Co-Kriging Robuste	Co-krigage : interpolation géostatistique multivariée
Domaine	Analyse spatiale	Analyse spatiale
Famille	Regression model	Regression model
Année d'origine	1993-1998	1965-1978
Auteur d'origine	Cressie, N. A. C.; Genton, M. G.	Matheron, G.; extended by Journel & Huijbregts
Type	Robust spatial interpolation	Geostatistical interpolation
Source fondatrice	Cressie, N. A. C. (1993). Statistics for Spatial Data (Revised ed.). John Wiley & Sons. Chapter 3 covers robust variogram estimation and co-kriging. ISBN: 978-0471002550	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561
Alias	robust cokriging, outlier-resistant co-kriging, robust multivariate kriging, RCK	cokriging, co-regionalization kriging, multivariate kriging, CK
Apparentées	3	5
Résumé	Robust Co-Kriging is a multivariate geostatistical interpolation method that jointly estimates values at unsampled locations using two or more spatially correlated variables, while applying robust estimators for the variogram and cross-variogram to limit the distorting influence of spatial outliers or non-Gaussian measurement errors.	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.