Projects per year
Abstract
It is now widely recognised that geochemical survey data are compositional in nature in that the components show their relative importance as parts of a whole. Compositional Data Analysis (CoDA) using log-ratio transformations can be used to reduce the ‘closure problem’ caused by the lack of scale invariance of the classical covariance of geochemical compositional data. This study explores the use of two data-driven CoDA approaches, clr-biplot analysis and a compositional balance approach, to investigate associations between elements for potential mineral exploration in the Lhasa area of Tibet, China. The use of the CoDA approach reveals meaningful results in that: (1) the compositional balance approach, using hierarchical cluster and a sequential binary partition (SBP) technique, excellently reflects the range of rocks and metal deposits in the area; (2) the clr-biplot indicates the relationships between elements and a consistency is found between PC1 and PC2 and key compositional balances (Balance 1 and 4); (3) comparison with traditional integrated geochemical mapping, which is a kind of knowledge-driven method, proves the validity of compositional balance and clr-biplot. These results provide metallogenic and petrogenetic information and crucial evidence for further geological and geochemical exploration in this area. The improved knowledge provided by this approach demonstrates the importance of using a CoDA approach for geochemical data before performing further statistical analysis.
Original language | English |
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Article number | 105108 |
Number of pages | 10 |
Journal | Applied Geochemistry |
Volume | 135 |
Early online date | 30 Oct 2021 |
DOIs | |
Publication status | Published - Dec 2021 |
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R1813NBE: Versatile (Energy Resilience Through Innovations in Connected Energy Systems) Geo Energy
19/10/2017 → …
Project: Research
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R1983NBE: VERTICES (Versatile Energy Resilience Through Innovations in Connected Energy Systems) Geo-Energy Sc
09/11/2018 → 31/03/2019
Project: Research
Activities
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Chinese University of Geosciences Beijing
Jennifer McKinley (Advisor)
18 Oct 2018 → 29 Oct 2018Activity: Visiting an external institution types › Visiting an external academic institution
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Chengdu University of Technology
Jennifer McKinley (Advisor)
18 Nov 2017 → 19 Nov 2017Activity: Visiting an external institution types › Research and Teaching at External Organisation
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International Association of Mathematical Geosciences (External organisation)
Jennifer McKinley (Advisor)
01 Sep 2016 → 01 Sep 2020Activity: Membership types › Membership of external research organisation
Prizes
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GSNI 70th Celebration Steminist Award
McKinley, Jennifer (Recipient), 30 Jan 2017
Prize: Prize (including medals and awards)
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President of the International Association of Mathematical Geosciences (IAMG) 2016-2020
McKinley, Jennifer (Recipient), 28 Aug 2016
Prize: National/international honour