Methoden vergleichen

	Robust Co-Kriging	Ordinary Kriging
Fachgebiet	Räumliche Analyse	Räumliche Analyse
Familie	Regression model	Regression model
Entstehungsjahr	1993-1998	1963
Urheber	Cressie, N. A. C.; Genton, M. G.	Georges Matheron (formalising D.G. Krige's empirical work)
Typ	Robust spatial interpolation	Geostatistical interpolation
Wegweisende Quelle	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.
Aliasnamen	robust cokriging, outlier-resistant co-kriging, robust multivariate kriging, RCK	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
Verwandt	3	4
Zusammenfassung	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.