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D. Miksova, C. Rieser, P. Filzmoser:
"Identification of Mineralization in Geochemistry Along a Transect Based on the Spatial Curvature of Log-Ratios";
Mathematical Geosciences, 53 (2021), 1513 - 1533.

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, including location, investigated media and depth. Here, a statistical method is proposed which indicates chemical elements related to mineralization along a transect. Moreover, the method determines the potential area of the deposit along a transect. 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.

http://dx.doi.org/10.1007/s11004-021-09930-4

https://link.springer.com/article/10.1007/s11004-021-09930-4