Compară metode

	Kriging ordinar global	Crinaj universal (Crinaj cu tendință)
Domeniu	Analiză spațială	Analiză spațială
Familie	Regression model	Regression model
Anul apariției	1951–1963	1969
Autorul original	Danie G. Krige; formalized by Georges Matheron	Georges Matheron
Tip	Geostatistical interpolation	Geostatistical interpolation with spatial trend
Sursa seminală	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.
Denumiri alternative	ordinary kriging, OK, global kriging, stationary ordinary kriging	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
Înrudite	5	3
Rezumat	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.	Universal kriging generalizes ordinary kriging to data whose mean varies systematically across space — a spatial trend or 'drift'. It models the mean as a function of the coordinates (or covariates) and krigs the residuals, so it can interpolate variables that drift in a preferred direction, such as temperature falling with latitude or a pollutant gradient, while still returning prediction variances.