"Interactive semi-automatic categorization for spinel group minerals"

GANUZA, M. LUJÁN; GARGIULO, M. FLORENCIA; FERRACUTTI, GABRIELA; CASTRO, SILVIA M.; BJERG, ERNESTO A.; GRÖLLER, E.; MATKOVIC, K.

Chicago

Congreso; IEEE Conference on Visual Analytics Science and Technology (IEEE VAST 2015); 2015

Spinelgroup minerals are excellent indicators of geological environments (tectonicsettings). In 2001, Barnes and Roeder defined a set of contours correspondingto compositional fields for spinel group minerals. Geologists typically usethis contours to estimate the tectonic environment where a particular spinel compositioncould have been formed. This task is prone to errors and requires tediousmanual comparison of overlapping diagrams. We introduce a semi-automatic,interactive detection of tectonic settings for an arbitrary dataset based onthe Barnes and Roeder contours. The new approach integrates the mentionedcontours and includes a novel interaction called contour brush. The newmethodology is integrated in the Spinel Explorer system and it improves thescientist?s workflow significantly.