2026-04-14T03:19:23Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/265032025-03-01T08:39:34Zcom_2072_452955com_2072_2054col_2072_453069

00925njm 22002777a 4500 dc Sadeghi, Behnam author Molayemat, Hossein author Pawlowsky-Glahn, Vera author 2024-04 Regional mineral exploration is based on geochemical data of which the nature is compositional and frequently involves a large number of components. Consequently, it mostly needs multivariate dimension reduction methods such as principal component analysis (PCA) and its various robust versions. The application of such methods, defined for real random variables, require the data to be represented in coordinates supported in the real space. However, a common problem in exploration geochemistry is to select the appropriate representation. Using centered (clr) and isometric (ilr) logratio coordinates to discriminate anomalous zones for orogeny gold exploration throughout Sweden revealed that there is, as expected, no difference between the two representation methods. The main difference affects the interpretation of the coordinates used. This is observed for regional scale exploration, while it is also needed to study different ways of representing geochemical data in local scale PG acknowledges the financial support received from the Spanish Ministry of Science and Innovation under the projects “CODA-GENERA” (Ref. PID2021-123833OB-I00) and “CONBACO” (Ref. PID2021-125380OB-I00) http://hdl.handle.net/10256/26503 Anàlisi multivariable Models matemàtics Multivariate analysis Mathematical models Anàlisi multivariable -- Mètodes gràfics Multivariate analysis -- Graphic methods Modelització gràfica (Estadística) Graphical modeling (Statistics) Dades geoquímiques Geochemical data How to choose a proper representation of compositional data for mineral exploration?