Linganisha mbinu

	Kriging ya Ulimwengu Wote (Global Universal Kriging)	Co-kriging: Uingizaji wa Njia Mbalimbali za Kijiografia
Nyanja	Uchanganuzi wa Kimaeneo	Uchanganuzi wa Kimaeneo
Familia	Regression model	Regression model
Mwaka wa asili	1969	1965-1978
Mwanzilishi	Georges Matheron	Matheron, G.; extended by Journel & Huijbregts
Aina	Geostatistical interpolation	Geostatistical interpolation
Chanzo asilia	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910608	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561
Majina mbadala	universal kriging (global), global UK, kriging with external drift (global), global trend kriging	cokriging, co-regionalization kriging, multivariate kriging, CK
Zinazohusiana	4	5
Muhtasari	Global Universal Kriging is a geostatistical interpolation method that models a spatially varying trend (drift) as a deterministic function of coordinates and uses the entire dataset to fit both the trend coefficients and the residual variogram simultaneously. It produces optimal linear unbiased predictions together with pointwise estimation uncertainty, accounting for a large-scale spatial gradient across the full study region.	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.