Methoden vergleichen

	Global Universal Kriging	Ordinary Kriging
Fachgebiet	Räumliche Analyse	Räumliche Analyse
Familie	Regression model	Regression model
Entstehungsjahr	1969	1963
Urheber	Georges Matheron	Georges Matheron (formalising D.G. Krige's empirical work)
Typ	Geostatistical interpolation	Geostatistical interpolation
Wegweisende Quelle	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910608	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
Aliasnamen	universal kriging (global), global UK, kriging with external drift (global), global trend kriging	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
Verwandt	4	4
Zusammenfassung	Global Universal Kriging is a geostatistical interpolation method that models a spatially varying trend (drift) as a deterministic function of coordinates and uses the entire dataset to fit both the trend coefficients and the residual variogram simultaneously. It produces optimal linear unbiased predictions together with pointwise estimation uncertainty, accounting for a large-scale spatial gradient across the full study region.	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.