Salīdzināt metodes

	Globālā krigēšana	Universālā krigēšana (krigēšana ar trendu)
Nozare	Telpiskā analīze	Telpiskā analīze
Saime	Regression model	Regression model
Izcelsmes gads	1960s–1993	1969
Autors	Georges Matheron (kriging framework); global neighborhood usage formalized in applied geostatistics	Georges Matheron
Tips	Geostatistical interpolation	Geostatistical interpolation with spatial trend
Pirmavots	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.
Citi nosaukumi	global-neighborhood kriging, full-data kriging, exhaustive kriging, non-local kriging	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
Saistītās	5	3
Kopsavilkums	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.