Linganisha mbinu

	Co-kriging: Uingizaji wa Njia Mbalimbali za Kijiografia	Ordinary Kriging
Nyanja	Uchanganuzi wa Kimaeneo	Uchanganuzi wa Kimaeneo
Familia	Regression model	Regression model
Mwaka wa asili	1965-1978	1963
Mwanzilishi	Matheron, G.; extended by Journel & Huijbregts	Georges Matheron (formalising D.G. Krige's empirical work)
Aina	Geostatistical interpolation	Geostatistical interpolation
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	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
Zinazohusiana	5	4
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.	Ordinary Kriging (OK) is the standard geostatistical method for interpolating a continuous spatial variable at unsampled locations. It derives optimal, unbiased weights from the spatial covariance structure of the data, making it the Best Linear Unbiased Predictor (BLUP) under stationarity assumptions. Unlike simpler distance-based methods, it also provides a prediction uncertainty (kriging variance) at every interpolated point.