Interactive Semi-Automatic Categorization for Spinel Group Minerals

GANUZA, M. L.; GARGIULO, M. F.; FERRACUTTI, G. R.; CASTRO, S. M.; BJERG, E. A.; GRÖLLER, E.; MATKOVIC, K.

Chicago

Conferencia; Conference on Visual Analytics Science and Technology),; 2015

IEEE Computer Society

Spinel group minerals are excellent indicators of geological environments (tectonic settings). In 2001, Barnes and Roeder defined a set of contours corresponding to compositional fields for spinel group minerals. Geologists typically use this contours to estimate the tectonic environment where a particular spinel composition could have been formed. This task is prone to errors and requires tedious manual comparison of overlapping diagrams. We introduce a semi-automatic, interactive detection of tectonic settings for an arbitrary dataset based on the Barnes and Roeder contours. The new approach integrates the mentioned contours and includes a novel interaction called contour brush. The new methodology is integrated in the Spinel Explorer system and it improves the scientist?s workflow significantly.