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Weighted Pivot Coordinates for Compositional Data and Their Application to Geochemical Mapping

dc.contributor.authorHron, Karel
dc.contributor.authorFilzmoser, Peter
dc.contributor.authorde Caritat, Patrice
dc.contributor.authorFiserova, Eva
dc.contributor.authorGardlo, Alzbeta
dc.date.accessioned2021-10-13T23:48:16Z
dc.date.issued2017
dc.date.updated2020-11-23T11:27:30Z
dc.description.abstractThe log ratio methodology converts compositional data, such as concentrations of chemical elements in a rock, from their original Aitchison geometry to interpretable real orthonormal coordinates, thereby allowing meaningful statistical processing and visualization. However, it must be taken into account that the original concentrations can be flawed by detection limit or imprecision problems that can severely affect the resulting coordinates. This paper aims to construct such orthonormal log ratio coordinates, called weighted pivot coordinates, that capture the relevant relative information about an original component and treat the redundant information in a controlled manner. Theoretical developments are supported by a thorough simulation study. Weighted pivot coordinates are then applied to the geochemical mapping of catchment outlet sediments from the National Geochemical Survey of Australia illustrating their advantage over possible alternatives.en_AU
dc.description.sponsorshipThe paper was supported by the Grant COST Action CRoNoS IC1408 and the infrastructural part was supported from NPU I (LO1304).en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn1874-8961en_AU
dc.identifier.urihttp://hdl.handle.net/1885/250794
dc.language.isoen_AUen_AU
dc.publisherSpringer Verlagen_AU
dc.rights© International Association for Mathematical Geosciences 2017en_AU
dc.sourceMathematical Geosciencesen_AU
dc.subjectAitchison geometryen_AU
dc.subjectOrthonormal coordinatesen_AU
dc.subjectPivot coordinatesen_AU
dc.subjectGeochemical mappingen_AU
dc.subjectNational Geochemical Survey of Australiaen_AU
dc.titleWeighted Pivot Coordinates for Compositional Data and Their Application to Geochemical Mappingen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue6en_AU
local.bibliographicCitation.lastpage814en_AU
local.bibliographicCitation.startpage797en_AU
local.contributor.affiliationHron, Karel, Palacky University Olomoucen_AU
local.contributor.affiliationFilzmoser, Peter, Vienna University of Technologyen_AU
local.contributor.affiliationDe Caritat De Peruzzis, Patrice, College of Science, ANUen_AU
local.contributor.affiliationFiserova, Eva, Palacky University Olomoucen_AU
local.contributor.affiliationGardlo, Alzbeta, Palacky University Olomoucen_AU
local.contributor.authoruidDe Caritat De Peruzzis, Patrice, u3702178en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor010401 - Applied Statisticsen_AU
local.identifier.absfor040201 - Exploration Geochemistryen_AU
local.identifier.absseo970104 - Expanding Knowledge in the Earth Sciencesen_AU
local.identifier.ariespublicationu4485658xPUB948en_AU
local.identifier.citationvolume49en_AU
local.identifier.doi10.1007/s11004-017-9684-zen_AU
local.identifier.scopusID2-s2.0-85017463810
local.identifier.thomsonID000405827400006
local.publisher.urlhttps://link.springer.com/en_AU
local.type.statusPublished Versionen_AU

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