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Regression modelGIS / spatial

Kriging ya Bayesian (Jiostatistiki Zinazotegemea Model)

Kriging ya Bayesian huweka uhamishaji wa kawaida wa jiostatistiki ndani ya mfumo kamili wa uwezekano. Badala ya kutibu vigezo vya variogram kama makadirio ya kiwango cha juu, huweka usambazaji wa awali juu yao na husasisha usambazaji huu wa awali na data za anga zilizozingatiwa ili kupata usambazaji wa nyuma. Utabiri katika maeneo yasiyopimwa kisha hupimwa juu ya kutokuwa na uhakika huu, ukitoa vipindi vya utabiri wa uaminifu vinavyozingatia utegemezi wa anga na kutokuwa na uhakika wa kigezo.

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Vyanzo

  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

Jinsi ya kunukuu ukurasa huu

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

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Imerejelewa na

ScholarGateBayesian Kriging (Bayesian Kriging (Model-Based Geostatistics)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/spatial-analysis/bayesian-kriging · Seti ya data: https://doi.org/10.5281/zenodo.20539026