Linganisha mbinu

	Co-kriging: Uingizaji wa Njia Mbalimbali za Kijiografia	Ukridingi wa Ulimwengu (Ukridingi wenye Mwenendo)
Nyanja	Uchanganuzi wa Kimaeneo	Uchanganuzi wa Kimaeneo
Familia	Regression model	Regression model
Mwaka wa asili	1965-1978	1969
Mwanzilishi	Matheron, G.; extended by Journel & Huijbregts	Georges Matheron
Aina	Geostatistical interpolation	Geostatistical interpolation with spatial trend
Chanzo asilia	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.
Majina mbadala	cokriging, co-regionalization kriging, multivariate kriging, CK	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
Zinazohusiana	5	3
Muhtasari	Co-kriging is a geostatistical interpolation technique that predicts the spatial distribution of a primary variable by leveraging its spatial cross-correlation with one or more secondary (co-) variables. It extends ordinary kriging to multivariate settings, yielding more accurate predictions when the secondary variable is more densely sampled or spatially correlated with the primary variable of interest.	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.