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Bayesian Co-Kriging on on mitmemõõtmeline geostatistiline meetod, mis kasutab abimuutujaid, mis on ruumiliselt korreleeritud, et parandada huvi pakkuva primaarse muutuja ennustusi. Rakendades Bayesian eelnevusi (priors) rist-kovariantsi parameetritele, levitab see kogu ebakindlust – sealhulgas parameetrite ebakindlust – ennustusintervallidesse, andes täielikult probabilistlikke kaarte kalibreeritud ebakindluspiiridega.

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Loe meetodi täielikku kirjeldust

Ainult liikmetele

Selle osa lugemiseks logi sisse tasuta kontoga.

Logi sisse

Method map

The neighbourhood of related methods — select a node to explore.

Allikad

  1. Diggle, P. J., & Ribeiro, P. J. (2007). Model-Based Geostatistics. Springer. ISBN: 978-0387329079
  2. Banerjee, S., Carlin, B. P., & Gelfand, A. E. (2015). Hierarchical Modeling and Analysis for Spatial Data (2nd ed.). CRC Press. ISBN: 978-1439819173

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Bayesian Co-Kriging Spatial Interpolation. ScholarGate. https://scholargate.app/et/spatial-analysis/bayesian-co-kriging

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Sellele viitavad

ScholarGateBayesian Co-Kriging (Bayesian Co-Kriging Spatial Interpolation). Loetud 2026-06-15 aadressilt https://scholargate.app/et/spatial-analysis/bayesian-co-kriging · Andmestik: https://doi.org/10.5281/zenodo.20539026