A STATISTICAL APPROACH TO GEOLOGICAL MAPPING

dc.contributor.authorGhosh J.K.
dc.contributor.authorBhanja J.
dc.contributor.authorPurkayastha S.
dc.contributor.authorSamanta T.
dc.contributor.authorSengupta S.
dc.date.accessioned2021-04-19T23:58:31Z
dc.date.available2021-04-19T23:58:31Z
dc.date.issued2002
dc.description.abstractA geological map is the representation, on a two-dimensional plane, of the disposition of three-dimensional rock bodies exposed on the earth's surface. The problem of mapping is essentially that of dividing an area into "homogeneous" subregions on the basis of the exposed rock types. Automatic Bayesian methods of model selection using default Bayes factors have been employed to solve the problem of choosing a set of boundaries between "homogeneous" subregions, assuming no complication excepting low-angle tilting affected rock bodies. The method is tested on two data sets. A sampling scheme for optimum allocation of observation points is also presented.
dc.identifierhttps://www.elibrary.ru/item.asp?id=1175742
dc.identifier.citationMathematical Geology, 2002, 34, 5, 505-528
dc.identifier.issn0882-8121
dc.identifier.urihttps://repository.geologyscience.ru/handle/123456789/28119
dc.subjectBAYES FACTOR
dc.subjectBAYESIAN MODEL SELECTION
dc.subjectFRACTIONAL BAYES FACTOR
dc.subjectINTRINSIC BAYES FACTOR
dc.subjectMINIMAL TRAINING SAMPLE
dc.subjectNON-INFORMATIVE PRIOR
dc.titleA STATISTICAL APPROACH TO GEOLOGICAL MAPPING
dc.typeСтатья

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