Σύγκριση μεθόδων

	Μπεϋζιανή Συνήθης Κρίγκινγκ	Μπεϋζιανό Καθολικό Kriging
Πεδίο	Χωρική Ανάλυση	Χωρική Ανάλυση
Οικογένεια	Regression model	Regression model
Έτος προέλευσης	1993	1990s–2000s
Δημιουργός	Handcock & Stein (1993); Diggle & Ribeiro (2007)	Diggle, Tawn & Moyeed; Kitanidis; Handcock & Stein
Τύπος	Bayesian geostatistical interpolation	Bayesian geostatistical interpolation with trend
Θεμελιώδης πηγή	Diggle, P. J., & Ribeiro, P. J. (2007). Model-Based Geostatistics. Springer. ISBN: 978-0387329079	Diggle, P. J., & Ribeiro, P. J. (2007). Model-Based Geostatistics. Springer. ISBN: 978-0387329079
Εναλλακτικές ονομασίες	Bayesian kriging, BOK, geostatistical Bayesian interpolation, Bayesian spatial prediction	BUK, Bayesian kriging with trend, Bayesian spatial interpolation with covariates, stochastic universal kriging
Συναφείς	5	6
Σύνοψη	Bayesian Ordinary Kriging is a geostatistical interpolation method that combines classical ordinary kriging with a Bayesian framework to jointly estimate the spatial covariance parameters and produce predictions at unsampled locations. Unlike plug-in kriging, it propagates uncertainty about variogram parameters through to the predictive distribution, yielding more honest uncertainty quantification.	Bayesian Universal Kriging (BUK) extends classical universal kriging by placing prior distributions on trend coefficients and spatial covariance parameters, then propagating full posterior uncertainty into predictions. It interpolates spatially referenced continuous data while simultaneously estimating large-scale deterministic trends driven by covariates and small-scale stochastic spatial dependence, yielding prediction intervals that honestly account for both parameter and interpolation uncertainty.