Bandingkan kaedah

	Co-kriging: Interpolasi Geostatistik Multivariat	Kriging Biasawan
Bidang	Analisis Reruang	Analisis Reruang
Keluarga	Regression model	Regression model
Tahun asal	1965-1978	1963
Pengasas	Matheron, G.; extended by Journel & Huijbregts	Georges Matheron (formalising D.G. Krige's empirical work)
Jenis	Geostatistical interpolation	Geostatistical interpolation
Sumber perintis	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.
Alias	cokriging, co-regionalization kriging, multivariate kriging, CK	OK, kriging interpolation, geostatistical interpolation, BLUE spatial predictor
Berkaitan	5	4
Ringkasan	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.