Methoden vergleichen

	Global Ordinary Kriging	Ordinary Kriging
Fachgebiet	Räumliche Analyse	Räumliche Analyse
Familie	Regression model	Regression model
Entstehungsjahr	1951–1963	1963
Urheber	Danie G. Krige; formalized by Georges Matheron	Georges Matheron (formalising D.G. Krige's empirical work)
Typ	Geostatistical interpolation	Geostatistical interpolation
Wegweisende Quelle	Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley. ISBN: 978-0471002550	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246-1266.
Aliasnamen	ordinary kriging, OK, global kriging, stationary ordinary kriging	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
Verwandt	5	4
Zusammenfassung	Global Ordinary Kriging (GOK) is the canonical geostatistical interpolation method that estimates values at unsampled locations as a weighted linear combination of nearby observations. It fits a single variogram model to the entire dataset, enforcing a global stationarity assumption, and produces optimal unbiased predictions along with quantified prediction uncertainty at every interpolated point.	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.