Bandingkan kaedah

	Kriging Universal (Kriging dengan Trend)	Cokriging
Bidang	Analisis Reruang	Analisis Reruang
Keluarga	Regression model	Regression model
Tahun asal	1969	1963
Pengasas	Georges Matheron	Georges Matheron (geostatistics); multivariate extension
Jenis	Geostatistical interpolation with spatial trend	Multivariate geostatistical interpolation
Sumber perintis	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.
Alias	kriging with a trend, kriging with drift, trend kriging, evrensel kriging	co-kriging, multivariate kriging, ortak kriging
Berkaitan	3	3
Ringkasan	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.	Cokriging extends kriging to use one or more correlated secondary variables to improve prediction of a primary variable. When the variable of interest is sparsely sampled but a related, cheaper-to-measure variable is densely sampled, cokriging borrows strength from the secondary variable through their cross-correlation, yielding more accurate interpolations and prediction variances than kriging the primary variable alone.