Ítem
Thió i Fernández de Henestrosa, Santiago
Martín Fernández, Josep Antoni |
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Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada | |
Buccianti, Antonella
Vaselli, Orlando Nisi, Barbara Minissale, Angelo Tassi, Franco |
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First discussion on compositional data analysis is attributable to Karl Pearson, in 1897. However, notwithstanding the recent developments on algebraic structure of the simplex, more than twenty years after Aitchison’s idea of log-transformations of closed data, scientific literature is again full of statistical treatments of this type of data by using traditional methodologies. This is particularly true in environmental geochemistry where besides the problem of the closure, the spatial structure (dependence) of the data have to be considered. In this work we propose the use of log-contrast values, obtained by asimplicial principal component analysis, as LQGLFDWRUV of given environmental conditions. The investigation of the log-constrast frequency distributions allows pointing out the statistical laws able togenerate the values and to govern their variability. The changes, if compared, for example, with the mean values of the random variables assumed as models, or other reference parameters, allow definingmonitors to be used to assess the extent of possible environmental contamination. Case study on running and ground waters from Chiavenna Valley (Northern Italy) by using Na+, K+, Ca2+, Mg2+, HCO3-, SO4 2- and Cl- concentrations will be illustrated Geologische Vereinigung; Universitat de Barcelona, Equip de Recerca Arqueomètrica; Institut d’Estadística de Catalunya; International Association for Mathematical Geology; Patronat de l’Escola Politècnica Superior de la Universitat de Girona; Fundació privada: Girona, Universitat i Futur. |
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http://hdl.handle.net/2072/14693 | |
eng | |
Universitat de Girona. Departament d’Informàtica i Matemàtica Aplicada | |
Tots els drets reservats | |
Anàlisi multivariable
Geoquímica -- Mètodes estadístics |
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Monitoring procedures in environmental geochemistry and compositional data analysis theory | |
info:eu-repo/semantics/conferenceObject | |
Recercat |