Comparer des méthodes

	Krigage global	Krigage universel (Krigage avec une tendance)
Domaine	Analyse spatiale	Analyse spatiale
Famille	Regression model	Regression model
Année d'origine	1960s–1993	1969
Auteur d'origine	Georges Matheron (kriging framework); global neighborhood usage formalized in applied geostatistics	Georges Matheron
Type	Geostatistical interpolation	Geostatistical interpolation with spatial trend
Source fondatrice	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.
Alias	global-neighborhood kriging, full-data kriging, exhaustive kriging, non-local kriging	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
Apparentées	5	3
Résumé	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.