विधियों की तुलना करें

	वैश्विक सामान्य क्रिगिंग	यूनिवर्सल क्रिगिंग (प्रवृत्ति के साथ क्रिगिंग)
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1951–1963	1969
प्रवर्तक	Danie G. Krige; formalized by Georges Matheron	Georges Matheron
प्रकार	Geostatistical interpolation	Geostatistical interpolation with spatial trend
मौलिक स्रोत	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.
उपनाम	ordinary kriging, OK, global kriging, stationary ordinary kriging	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
संबंधित	5	3
सारांश	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.