विधियों की तुलना करें

	को-क्रीगिंग: बहुभिन्नरूपी भूसांख्यिकीय अंतर्वेशन	ऑर्डिनरी क्रिगिंग
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1965-1978	1963
प्रवर्तक	Matheron, G.; extended by Journel & Huijbregts	Georges Matheron (formalising D.G. Krige's empirical work)
प्रकार	Geostatistical interpolation	Geostatistical interpolation
मौलिक स्रोत	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.
उपनाम	cokriging, co-regionalization kriging, multivariate kriging, CK	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
संबंधित	5	4
सारांश	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.