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Bayesovské univerzálne krigovanie×Univerzálne krigovanie (Krigovanie s trendom)×
OdborPriestorová analýzaPriestorová analýza
RodinaRegression modelRegression model
Rok vzniku1990s–2000s1969
TvorcaDiggle, Tawn & Moyeed; Kitanidis; Handcock & SteinGeorges Matheron
TypBayesian geostatistical interpolation with trendGeostatistical interpolation with spatial trend
Pôvodný zdrojDiggle, P. J., & Ribeiro, P. J. (2007). Model-Based Geostatistics. Springer. ISBN: 978-0387329079Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗
Ďalšie názvyBUK, Bayesian kriging with trend, Bayesian spatial interpolation with covariates, stochastic universal krigingkriging with a trend, kriging with drift, trend kriging, evrensel kriging
Príbuzné63
ZhrnutieBayesian 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.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.
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ScholarGatePorovnať metódy: Bayesian Universal Kriging · Universal Kriging. Získané 2026-06-17 z https://scholargate.app/sk/compare