Σύγκριση μεθόδων

	Χωροχρονική Κρίγκινγκ	Συν-κριγκινγκ: Πολυμεταβλητή Γεωστατιστική Παρεμβολή
Πεδίο	Χωρική Ανάλυση	Χωρική Ανάλυση
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	1999	1965-1978
Δημιουργός	Cressie & Huang; Kyriakidis & Journel	Matheron, G.; extended by Journel & Huijbregts
Τύπος	Geostatistical interpolation	Geostatistical interpolation
Θεμελιώδης πηγή	Cressie, N., & Huang, H.-C. (1999). Classes of nonseparable, spatio-temporal stationary covariance functions. Journal of the American Statistical Association, 94(448), 1330-1340.	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561
Εναλλακτικές ονομασίες	spatiotemporal kriging, ST-kriging, space-time geostatistical interpolation, kriging in space-time	cokriging, co-regionalization kriging, multivariate kriging, CK
Συναφείς	4	5
Σύνοψη	Space-Time Kriging is a geostatistical interpolation method that predicts an unknown variable at any location and time by borrowing strength from nearby observations in both space and time simultaneously. It models the joint spatial-temporal covariance structure through a space-time variogram, then uses optimal linear weights to produce predictions with quantified uncertainty.	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.