A machine learning approach to geochemical mapping

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A machine learning approach to geochemical mapping

Geochemical maps provide invaluable evidence to guide decisions on issues of mineral exploration, agriculture, and environmental health. However, the high cost of chemical analysis means that the ground sampling density will always be limited. Traditionally, geochemical maps have been produced throu...

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Bibliographic Details
Main Authors:	Kirkwood, Charlie, Cave, Mark, Beamish, David, Grebby, Stephen, Ferreira, Antonio
Format:	Article
Published:	Elsevier 2016
Subjects:	Uncertainty Modelling Soil geochemistry Quantile regression Random forest South west England
Online Access:	https://eprints.nottingham.ac.uk/33879/

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