Interactive Semi-Automatic Categorization for Spinel Group Minerals

Maria Lujan Ganuza, Maria Florencia Gargiulo, Gabriela Ferracutti, Silvia Castro, Ernesto Bjerg, Meister Eduard Gröller, Kresimir Matkovic
Interactive Semi-Automatic Categorization for Spinel Group Minerals
Poster shown at 2015 IEEE Conference on Visual Analytics Science and Technology (VAST) (2015) (25. October 2015-30. October 2015)

Information

Abstract

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.

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BibTeX

@misc{Ganuza_ML_2015_ISA,
  title =      "Interactive Semi-Automatic Categorization for Spinel Group
               Minerals",
  author =     "Maria Lujan Ganuza and Maria Florencia Gargiulo and Gabriela
               Ferracutti and Silvia Castro and Ernesto Bjerg and Meister
               Eduard Gr{"o}ller and Kresimir Matkovic",
  year =       "2015",
  abstract =   "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.",
  month =      oct,
  event =      "2015 IEEE Conference on Visual Analytics Science and
               Technology (VAST) (2015)",
  isbn =       " 978-1-4673-9783-4",
  location =   "Chicago, IL, USA ",
  note =       "Poster presented at 2015 IEEE Conference on Visual Analytics
               Science and Technology (VAST) (2015)
               (2015-10-25--2015-10-30)",
  pages =      "197--198",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2015/Ganuza_ML_2015_ISA/",
}