Identification of mineralization in geochemistry along a transect based on the spatial curvature of log-ratios

Detecting subcropping mineralizations but also deeply buried mineralizations is one important goal in geochemical exploration. The identification of useful indicators for mineralization is a difficult task as mineralization might be influenced by many factors, such as location, investigated media, d...

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Bibliographic Details
Published in:arXiv.org 2019-12
Main Authors: Mikšová, Dominika, Rieser, Christopher, Filzmoser, Peter
Format: Article
Language:English
Subjects:
Chemical elements
Curvature
Geochemistry
Mathematical analysis
Mineral exploration
Mineralization
Organic chemistry
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Summary:Detecting subcropping mineralizations but also deeply buried mineralizations is one important goal in geochemical exploration. The identification of useful indicators for mineralization is a difficult task as mineralization might be influenced by many factors, such as location, investigated media, depth, etc. We propose a statistical method which indicates chemical elements related to mineralization along a transect. Moreover, the method determines along a transect the potential area of the deposit. The identification is based on General Additive Models (GAMs) for the element concentrations across the spatial coordinate(s). The log-ratios of the GAM fits are taken to compute the curvature, where high and narrow curvature is supposed to indicate the mineralization area. By defining a measure for the quantification of high curvature, the log-ratios can be ranked, and elements can be identified that are indicative of the anomaly patterns.
ISSN:2331-8422