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Functional data analysis as a tool to correlate textural and geochemical data

Abstract:

This paper discusses the use of functional data analysis to determine the interactions between the chemical composition and grain size. The proposed method is compared for a case study with others that involve the determination of the coefficient of correlation between the concentration of each chemical element in a bulk sample and representative points in the granulometric curve. The results obtained by the two approaches are consistent and indicate an increasing concentration of certain metals in the fine particle-size fractions. Moreover, functional data analysis provides useful additional information on the relationship between the concentration of the chemical elements in bulk samples and particle size distribution. © 2013 Elsevier Inc. All rights reserved.