Compară metode

	Kriging global	Crinaj universal (Crinaj cu tendință)
Domeniu	Analiză spațială	Analiză spațială
Familie	Regression model	Regression model
Anul apariției	1960s–1993	1969
Autorul original	Georges Matheron (kriging framework); global neighborhood usage formalized in applied geostatistics	Georges Matheron
Tip	Geostatistical interpolation	Geostatistical interpolation with spatial trend
Sursa seminală	Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.
Denumiri alternative	global-neighborhood kriging, full-data kriging, exhaustive kriging, non-local kriging	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
Înrudite	5	3
Rezumat	Global Kriging is the ordinary kriging interpolation procedure applied using all available sample points as the neighborhood — no spatial search window limits which data contribute to each prediction. It produces optimal linear unbiased predictions of an unobserved value at any target location, with associated prediction-error variances, by exploiting a fitted variogram model that encodes spatial autocorrelation across the entire dataset.	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.