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Practical Aspects of Compositional Data Analysis using Regional Geochemical Survey Data

Government geological surveys and mineral exploration companies collect large amounts of geochemical data, which are used in search for mineral commodities or for determining environmental disturbances. These surveys consist of many thousands of samples (observations) with as many as 50 elements determined for each. Because the nature of the data is compositional, they must be treated according the protocols established by John Aitchison and others. This contribution details an approach based on the application of the alr, clr and ilr transforms for process discovery and validation. Issues of around the treatment of zeros and/or missing values are complicated due to the stoichiometric nature of the data. Case studies are presented where the use of logratio transforms and the estimation of replacement values for missing data are considered in the context of stoichiometric constraints

Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada

Other contributions: Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
Author: Grunsky, Eric C.
Date: 2018 June 5
Abstract: Government geological surveys and mineral exploration companies collect large amounts of geochemical data, which are used in search for mineral commodities or for determining environmental disturbances. These surveys consist of many thousands of samples (observations) with as many as 50 elements determined for each. Because the nature of the data is compositional, they must be treated according the protocols established by John Aitchison and others. This contribution details an approach based on the application of the alr, clr and ilr transforms for process discovery and validation. Issues of around the treatment of zeros and/or missing values are complicated due to the stoichiometric nature of the data. Case studies are presented where the use of logratio transforms and the estimation of replacement values for missing data are considered in the context of stoichiometric constraints
Document access: http://hdl.handle.net/2072/319397
Language: eng
Publisher: Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada
Rights: Tots els drets reservats
Subject: Anàlisi multivariable -- Congressos
Multivariate analysis -- Congresses
Estadística matemàtica -- Congressos
Mathematical statistics -- Congresses
Geoquímica -- Congressos
Geochemistry -- Congresses
Title: Practical Aspects of Compositional Data Analysis using Regional Geochemical Survey Data
Type: info:eu-repo/semantics/conferenceObject
Repository: Recercat

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