Out-of-equilibrium crystallization often produces complex compositional variability in minerals, generating zoning, and other mixing phenomena. The appropriate microchemical characterization of the resulting out-of-equilibrium patterns is of critical importance in understanding the overall physical and chemical properties of the host crystalline phases. In this framework, the modeling of compositional changes assumes a fundamental role. However, when compositional data are used, their management with standard exploratory, statistical, graphical, and numerical tools may give misleading results attributable to the phenomenon of induced correlations. To avoid these problems, methods able to extract compositional data from their constrained space (the simplex) in order to apply standard statistics, have to be adopted. As an alternative, the use of tools having properties able to work in the simplex geometry has to be considered.

Application of Compositional Techniques in the Field of Crystal Chemistry: A Case Study of Luzonite,a Sn-Bearing Mineral / Borgheresi M.; Buccianti A.; Di Benedetto F.; Vaughan D.J.. - In: MATHEMATICAL GEOSCIENCES. - ISSN 1874-8961. - STAMPA. - 45:(2013), pp. 183-206. [10.1007/s11004-012-9422-5]

Application of Compositional Techniques in the Field of Crystal Chemistry: A Case Study of Luzonite,a Sn-Bearing Mineral

BUCCIANTI, ANTONELLA;DI BENEDETTO, FRANCESCO;
2013

Abstract

Out-of-equilibrium crystallization often produces complex compositional variability in minerals, generating zoning, and other mixing phenomena. The appropriate microchemical characterization of the resulting out-of-equilibrium patterns is of critical importance in understanding the overall physical and chemical properties of the host crystalline phases. In this framework, the modeling of compositional changes assumes a fundamental role. However, when compositional data are used, their management with standard exploratory, statistical, graphical, and numerical tools may give misleading results attributable to the phenomenon of induced correlations. To avoid these problems, methods able to extract compositional data from their constrained space (the simplex) in order to apply standard statistics, have to be adopted. As an alternative, the use of tools having properties able to work in the simplex geometry has to be considered.
2013
45
183
206
Borgheresi M.; Buccianti A.; Di Benedetto F.; Vaughan D.J.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/764926
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