The final publication is available at Springer via <a href="https://doi.org/10.1007/s11004-016-9646-x" target="_blank">https://doi.org/10.1007/s11004-016-9646-x</a>.
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dc.description.abstract
Compositional data, as they typically appear in geochemistry in terms of concentrations of chemical elements in soil samples, need to be expressed in log-ratio coordinates before applying the traditional statistical tools if the relative structure of the data is of primary interest. There are different possibilities for this purpose, like centered log-ratio coefficients, or isometric log-ratio coordinates. In both the approaches, geometric means of the compositional parts are involved, and it is unclear how measurement errors or detection limit problems affect their presentation in coordinates. This problem is investigated theoretically by making use of the theory of error propagation. Due to certain limitations of this approach, the effect of error propagation is also studied by means of simulations. This allows to provide recommendations for practitioners on the amount of error and on the expected distortion of the results, depending on the purpose of the analysis.
en
dc.description.sponsorship
Austrian Science Fund (FWF)
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dc.language
English
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dc.language.iso
en
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dc.publisher
Springer
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dc.relation.ispartof
Mathematical Geosciences
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Aitchison geometry
en
dc.subject
Orthonormal coordinates
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dc.subject
Taylor approximation
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dc.subject
Compositional differential calculus
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dc.subject
Detection limit
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dc.title
Error propagation in isometric log-ratio coordinates for compositional data: theoretical and practical considerations
en
dc.type
Article
en
dc.type
Artikel
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.relation.grantno
I 1910-N26
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dc.relation.grantno
COST Action CRoNoS IC1408
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dc.rights.holder
The Author(s) 2016
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dc.type.category
Original Research Article
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tuw.journal.peerreviewed
true
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tuw.peerreviewed
true
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tuw.version
vor
-
dcterms.isPartOf.title
Mathematical Geosciences
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tuw.publication.orgunit
E105 - Institut für Stochastik und Wirtschaftsmathematik
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tuw.publisher.doi
10.1007/s11004-016-9646-x
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dc.date.onlinefirst
2016-07-07
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dc.identifier.eissn
1874-8953
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dc.identifier.libraryid
AC11360153
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dc.identifier.urn
urn:nbn:at:at-ubtuw:3-1895
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tuw.author.orcid
0000-0002-8014-4682
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dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
wb.sci
true
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item.languageiso639-1
en
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Publications
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Publications
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http://purl.org/coar/resource_type/c_18cf
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.fulltext
with Fulltext
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item.openaccessfulltext
Open Access
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item.grantfulltext
open
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item.openairetype
Article
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item.openairetype
Artikel
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crisitem.author.dept
E105 - Institut für Stochastik und Wirtschaftsmathematik
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crisitem.author.dept
E105 - Institut für Stochastik und Wirtschaftsmathematik