পদ্ধতির তুলনা করুন

	বেয়েশীয় সার্বজনীন ক্রিগিং	সহ-ক্রিগিং: বহুমাত্রিক ভূপরিসংখ্যানিক অন্তর্বর্তন
ক্ষেত্র	স্থানিক বিশ্লেষণ	স্থানিক বিশ্লেষণ
পরিবার	Regression model	Regression model
উদ্ভবের বছর	1990s–2000s	1965-1978
প্রবর্তক	Diggle, Tawn & Moyeed; Kitanidis; Handcock & Stein	Matheron, G.; extended by Journel & Huijbregts
ধরন	Bayesian geostatistical interpolation with trend	Geostatistical interpolation
মৌলিক উৎস	Diggle, P. J., & Ribeiro, P. J. (2007). Model-Based Geostatistics. Springer. ISBN: 978-0387329079	Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561
অপর নাম	BUK, Bayesian kriging with trend, Bayesian spatial interpolation with covariates, stochastic universal kriging	cokriging, co-regionalization kriging, multivariate kriging, CK
সম্পর্কিত	6	5
সারসংক্ষেপ	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.	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.