Methoden vergelijken

	Robuuste Kriging	Co-kriging: Multivariaat Geostatistische Interpolatie
Vakgebied	Ruimtelijke analyse	Ruimtelijke analyse
Familie	Regression model	Regression model
Jaar van ontstaan	1980	1965-1978
Grondlegger	Noel Cressie & Douglas M. Hawkins	Matheron, G.; extended by Journel & Huijbregts
Type	Robust geostatistical interpolation	Geostatistical interpolation
Oorspronkelijke bron	Cressie, N., & Hawkins, D. M. (1980). Robust estimation of the variogram: I. Journal of the International Association for Mathematical Geology, 12(2), 115–125.	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561
Aliassen	robust spatial kriging, outlier-resistant kriging, resistant kriging, robust geostatistical interpolation	cokriging, co-regionalization kriging, multivariate kriging, CK
Verwant	4	5
Samenvatting	Robust Kriging is a geostatistical interpolation method that extends classical kriging by replacing sensitive variogram estimation with outlier-resistant alternatives, most notably the Cressie-Hawkins robust estimator. It produces spatially interpolated predictions that are not distorted by anomalous or extreme observations in the data.	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.