Methoden vergelijken

	Co-kriging: Multivariaat Geostatistische Interpolatie	Gewone Kriging
Vakgebied	Ruimtelijke analyse	Ruimtelijke analyse
Familie	Regression model	Regression model
Jaar van ontstaan	1965-1978	1963
Grondlegger	Matheron, G.; extended by Journel & Huijbregts	Georges Matheron (formalising D.G. Krige's empirical work)
Type	Geostatistical interpolation	Geostatistical interpolation
Oorspronkelijke bron	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
Aliassen	cokriging, co-regionalization kriging, multivariate kriging, CK	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
Verwant	5	4
Samenvatting	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.	Ordinary Kriging (OK) is the standard geostatistical method for interpolating a continuous spatial variable at unsampled locations. It derives optimal, unbiased weights from the spatial covariance structure of the data, making it the Best Linear Unbiased Predictor (BLUP) under stationarity assumptions. Unlike simpler distance-based methods, it also provides a prediction uncertainty (kriging variance) at every interpolated point.