Authors / CoAuthors
Abstract
The 42 element, 1190 sample Mobile Metal Ion subset of the National Geochemical Survey of Australia database was used to develop and illustrate the concept of Degree of Geochemical Similarity of soil samples. Element concentrations were unified to parts per million units and log(10)-transformed. The degree of similarity of pairs of samples of known provenance in the Yilgarn Craton were obtained using least squares linear regression analysis and demonstrated that the method successfully assessed the degree of similarity of soils related to granitoid and greenstone lithologies. Exploratory Data Analysis symbol maps of all remaining samples in the database against various reference samples were used to obtain correlation maps for not only granitoid- and greenstone-related soil types, but also to distinguish between for example samples derived from marine vs regolith carbonate. Likewise, the distribution of soil samples having a geochemical fingerprint similar to mineralised provinces (e.g., Mt Isa) can be mapped and this can be used as a first order prospection tool. Sensitivity analysis confirmed the method to produce robust results without undue influence from either single elements with anomalous concentrations or elements with a high proportion of censored values.
Product Type
nonGeographicDataset
eCat Id
83869
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Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia
Keywords
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- External PublicationArticle
- Australian and New Zealand Standard Research Classification (ANZSRC)
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- Earth Sciences
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- Published_Internal
Publication Date
2015-01-01T00:00:00
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geoscientificInformation
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Extents
[-44.0, -10.0, 112.0, 154.0]
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Spatial Resolution
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