Σύγκριση μεθόδων

	Robust Co-Kriging	Ordinary Kriging
Πεδίο	Χωρική Ανάλυση	Χωρική Ανάλυση
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	1993-1998	1963
Δημιουργός	Cressie, N. A. C.; Genton, M. G.	Georges Matheron (formalising D.G. Krige's empirical work)
Τύπος	Robust spatial interpolation	Geostatistical interpolation
Θεμελιώδης πηγή	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	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
Εναλλακτικές ονομασίες	robust cokriging, outlier-resistant co-kriging, robust multivariate kriging, RCK	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
Συναφείς	3	4
Σύνοψη	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.	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.