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Lithology, alteration, mineralisation
- Objective classification of lithology, alteration or mineralisation.
- Examine relationships between multiple elements at the same time.
- Rapid assessment of trends within the data that may not be apparent with single- or two-element plots.
- Groupings can inform geological models, alteration and mineralisation mapping, and ultimately geometallurgical and resource model domains.
Principals component analysis of 14-element geochemical dataset, groupings informed by Bayesian clustering algorithm, coloured by dominant lithology, from the Tampia Hill Au deposit, Western Australia.
Isometric view of drill holes from the Tampia Hill Au deposit, Western Australia, coloured by clusters as above, with groupings informed by Bayesian clustering algorithm, using principal components analysis of 14-element geochemical dataset.