Continental-scale geochemical surveys and mineral prospectivity: Comparison of a trivariate and a multivariate approach
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The National Geochemical Survey of Australia (NGSA) provides an internally consistent, state-of-the-art, continental-scale geochemical dataset that can be used to assess areas of Australia more elevated in commodity metals and/or pathfinder elements than others. But do regions elevated in such elements correspond to known mineralized provinces, and what is the best method for detecting and thus potentially predicting those? Here, using base metal associations as an example, I compare a...[Show more]
dc.contributor.author | de Caritat, Patrice | |
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dc.date.accessioned | 2020-01-12T23:24:47Z | |
dc.date.available | 2020-01-12T23:24:47Z | |
dc.identifier.issn | 0375-6742 | |
dc.identifier.uri | http://hdl.handle.net/1885/196954 | |
dc.description.abstract | The National Geochemical Survey of Australia (NGSA) provides an internally consistent, state-of-the-art, continental-scale geochemical dataset that can be used to assess areas of Australia more elevated in commodity metals and/or pathfinder elements than others. But do regions elevated in such elements correspond to known mineralized provinces, and what is the best method for detecting and thus potentially predicting those? Here, using base metal associations as an example, I compare a trivariate rank-based index and a multivariate-based Principal Component Analysis method. The analysis suggests that the simpler rank-based index better discriminates catchments endowed with known base metal mineralization from barren ones and could be used as a first-pass prospectivity tool. | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_AU | |
dc.publisher | Elsevier | |
dc.rights | Crown Copyright © 2018 Published by Elsevier B.V | |
dc.rights.uri | http://creativecommons.org/licenses/BY/4.0/ | |
dc.source | Journal of Geochemical Exploration | |
dc.title | Continental-scale geochemical surveys and mineral prospectivity: Comparison of a trivariate and a multivariate approach | |
dc.type | Journal article | |
local.description.notes | Imported from ARIES | |
local.identifier.citationvolume | 188 | |
dc.date.issued | 2018 | |
local.identifier.absfor | 040201 - Exploration Geochemistry | |
local.identifier.ariespublication | u4485658xPUB2068 | |
local.publisher.url | https://www.elsevier.com/en-au | |
local.type.status | Published Version | |
local.contributor.affiliation | De Caritat, Patrice, College of Science, ANU | |
local.bibliographicCitation.startpage | 87 | |
local.bibliographicCitation.lastpage | 94 | |
local.identifier.doi | 10.1016/j.gexplo.2018.01.014 | |
local.identifier.absseo | 840199 - Mineral Exploration not elsewhere classified | |
local.identifier.absseo | 961404 - Mining Soils | |
dc.date.updated | 2019-08-25T08:20:02Z | |
local.identifier.scopusID | 2-s2.0-85043991801 | |
local.identifier.thomsonID | 000428134600007 | |
dcterms.accessRights | Open Access | |
dc.provenance | This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/). | |
dc.rights.license | CC BY license | |
Collections | ANU Research Publications |
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