Geochemical Mineral Exploration: Should We Use Enrichment Factors or Log-Ratios?
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science
Link
http://link.springer.com/article/10.1007/s11053-016-9318-z/fulltext.html
Reference70 articles.
1. Aitchison, J. (1984). The statistical analysis of geochemical compositions. Mathematical Geology, 16, 531–564.
2. Aitchison, J. (1986). The statistical analysis of compositional data. Chapman and Hall, London, 416p.
3. Aitchison, J., Barceló-Vidal, C., Martín-Fernández, J. A., & Pawlowsky-Glahn, V. (2000). Logratio analysis and compositional distance. Mathematical Geology, 32, 271–275.
4. Aitchison, J., & Egozcue, J. J. (2005). Compositional data analysis: where are we and where should we be heading? Mathematical Geology, 37, 829–850.
5. Armstrong, R. C., Compston, W., De Wit, M. J., & Williams, I. S. (1990). The stratigraphy of the 3.5–3.2 Ga Barberton greenstone belt revisited: a single zircon ion microprobe study. Earth and Planetary Science Letters, 101, 90–106.
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