Regression modelGIS / spatial

Bejzovski kriging (geostatistika zasnovana na modelu)

Bejzovski kriging ugrađuje klasičnu geostatističku interpolaciju u puni probabilistički okvir. Umesto da parametre variograma tretira kao fiksne procene tačaka, on im dodeljuje prior raspodele i ažurira te priore zapaženim prostornim podacima kako bi se dobila posterior raspodela. Predikcije na neuzorkovanim lokacijama se zatim marginalizuju preko ove neizvesnosti, dajući poštene intervale predikcije koji uzimaju u obzir i prostornu zavisnost i neizvesnost parametara.

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Izvori

  1. Diggle, P. J., Tawn, J. A., & Moyeed, R. A. (1998). Model-based geostatistics. Journal of the Royal Statistical Society: Series C (Applied Statistics), 47(3), 299–350. DOI: 10.1111/1467-9876.00113
  2. Handcock, M. S., & Stein, M. L. (1993). A Bayesian analysis of kriging. Technometrics, 35(4), 403–410. DOI: 10.1080/00401706.1993.10485354

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ScholarGate. (2026, June 3). Bayesian Kriging (Model-Based Geostatistics). ScholarGate. https://scholargate.app/sr/spatial-analysis/bayesian-kriging

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ScholarGateBayesian Kriging (Bayesian Kriging (Model-Based Geostatistics)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/spatial-analysis/bayesian-kriging · Skup podataka: https://doi.org/10.5281/zenodo.20539026