A STATISTICAL APPROACH TO GEOLOGICAL MAPPING

dc.contributor.author	Ghosh J.K.
dc.contributor.author	Bhanja J.
dc.contributor.author	Purkayastha S.
dc.contributor.author	Samanta T.
dc.contributor.author	Sengupta S.
dc.date.accessioned	2021-04-19T23:58:31Z
dc.date.available	2021-04-19T23:58:31Z
dc.date.issued	2002
dc.identifier	https://www.elibrary.ru/item.asp?id=1175742
dc.identifier.citation	Mathematical Geology, 2002, 34, 5, 505-528
dc.identifier.issn	0882-8121
dc.identifier.uri	https://repository.geologyscience.ru/handle/123456789/28119
dc.description.abstract	A 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.subject	BAYES FACTOR
dc.subject	BAYESIAN MODEL SELECTION
dc.subject	FRACTIONAL BAYES FACTOR
dc.subject	INTRINSIC BAYES FACTOR
dc.subject	MINIMAL TRAINING SAMPLE
dc.subject	NON-INFORMATIVE PRIOR
dc.title	A STATISTICAL APPROACH TO GEOLOGICAL MAPPING
dc.type	Статья

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