Detrital zircon age distributions in Bayes-Hilbert spaces

dc.contributor
Agencia Estatal de Investigación
dc.contributor.author
Fernández-Suárez, Javier
dc.contributor.author
Pawlowsky-Glahn, Vera
dc.contributor.author
Egozcue, Juan José
dc.date.accessioned
2025-03-01T08:39:35Z
dc.date.available
2025-03-01T08:39:35Z
dc.date.issued
2025-06
dc.identifier
http://hdl.handle.net/10256/26505
dc.identifier.uri
https://hdl.handle.net/10256/26505
dc.description.abstract
A growing number of researchers in the Earth Science community use the information provided by the U-Pb ages of detrital zircon in sedimentary environments, be these modern (sediments) or ancient (sedimentary or metasedimentary rocks). This information is key to understanding detritus's past and present flow on Earth and its attendant geological implications. An essential component of the investigation concerning detrital zircon age distributions (DZD) and their bearing on several sedimentological, tectonic, geodynamic, paleogeographic, or climatic issues is to compare DZD from different samples. Much theoretical and empirical research has been devoted to ascertaining how to best compare and measure the dissimilarity/distance between DZDs. This ongoing endeavour has generated a variety of metrics and statistical procedures to perform such tasks. In this contribution, a metric based on the Aitchison distance to measure the dissimilarity of any given set of DZD (samples represented by density functions) is presented. The Aitchison distance is used in the reference framework of the Bayes-Hilbert spaces, whose properties help to avoid some of the limitations of previously used metrics. The mathematical and methodological foundations are presented and illustrated with three geological examples taken from the recent literature, using both sedimentary rocks and recent sediments in different geological and geographical settings. The proposed approach results in a consistent statistical tool to determine whether a set of samples is likely to be derived from a common source or, at least, from indistinguishable sources based on DZD data alone
dc.description.abstract
JJE and VPG were supported by the grants PID2021-123833OB-I00 and PID2021-125380OB-I00, funded by the Spanish Ministry of Science, Innovation and Universities (MICIU/AEI/10.13039/501100011033/) and ERDF A way of making Europe. JFS acknowledges financial support from project PID2020-112489GB-C21 funded by the Spanish Ministry of Science, Innovation and Universities
dc.format
application/pdf
dc.language
eng
dc.publisher
Elsevier
dc.relation
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.gexplo.2025.107710
dc.relation
info:eu-repo/semantics/altIdentifier/issn/0375-6742
dc.relation
info:eu-repo/semantics/altIdentifier/eissn/1879-1689
dc.relation
PID2021-123833OB-I00
dc.relation
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123833OB-I00/ES/GENERATION AND TRANSFER OF COMPOSITIONAL DATA ANALYSIS KNOWLEDGE/
dc.rights
Reconeixement-NoComercial-SenseObraDerivada 4.0 Internacional
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0
dc.rights
info:eu-repo/semantics/openAccess
dc.source
Journal of Geochemical Exploration, 2025, vol. 273, art.núm.107710
dc.source
Articles publicats (D-IMAE)
dc.source
Fernández-Suárez, Javier Pawlowsky-Glahn, Vera Egozcue, Juan José 2025 Detrital zircon age distributions in Bayes-Hilbert spaces Journal of Geochemical Exploration 273 art.núm.107710
dc.subject
Estadística bayesiana
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Hilbert, Espais de
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Anàlisi multivariable
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Bayesian statistical decision
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Hilbert space
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Multivariate analysis
dc.title
Detrital zircon age distributions in Bayes-Hilbert spaces
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion
dc.type
peer-reviewed


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