قارن الطرق

	الكراجينغ العادي البيزي	التغايرية الكونية الشاملة البيزية
المجال	التحليل المكاني	التحليل المكاني
العائلة	Regression model	Regression model
سنة النشأة	1993	1990s–2000s
صاحب الطريقة	Handcock & Stein (1993); Diggle & Ribeiro (2007)	Diggle, Tawn & Moyeed; Kitanidis; Handcock & Stein
النوع	Bayesian geostatistical interpolation	Bayesian geostatistical interpolation with trend
المصدر التأسيسي	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
الأسماء البديلة	Bayesian kriging, BOK, geostatistical Bayesian interpolation, Bayesian spatial prediction	BUK, Bayesian kriging with trend, Bayesian spatial interpolation with covariates, stochastic universal kriging
ذات صلة	5	6
الملخص	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.