Subcompositional patterns in Cenozoic volcanic rocks of Hungary

Issue Title: Advances in Compositional Data Data selected from an extensive major element database of Cenozoic volcanic rocks (including calc-alkaline andesites, dacites, rhyolites, and alkali basalts) of Hungary are used to illustrate the detection and modeling of subcompositional patterns using a...

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Veröffentlicht in:Mathematical geology 2005-10, Vol.37 (7), p.729-752
Hauptverfasser: MARTIN-FERNANDEZ, J. A, BARCELO-VIDAL, C, PAWLOWSKY-GLAHN, V, KOVACS, L. O, KOVACS, G. P
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Sprache:eng
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Zusammenfassung:Issue Title: Advances in Compositional Data Data selected from an extensive major element database of Cenozoic volcanic rocks (including calc-alkaline andesites, dacites, rhyolites, and alkali basalts) of Hungary are used to illustrate the detection and modeling of subcompositional patterns using a statistical analysis based on the assumption that relative differences between the observed values are more meaningful than absolute ones. In particular, two roughly linear compositional patterns (associated one to the alkaline basalts, the other to the calc-alkaline series) are revealed and evaluated, and it is shown how principal component analysis can be used to obtain the estimated subcomposition of their incidental intersection point.[PUBLICATION ABSTRACT]
ISSN:0882-8121
1874-8961
1573-8868
1874-8953
DOI:10.1007/s11004-005-7377-5