María Luján Ganuza, Maria Florencia Gargiulo, Gabriela Ferracutti, Silvia Castro, Ernesto Bjerg, Eduard GröllerORCID iD, Kresimir MatkovicORCID iD
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

  • Publication Type: Poster
  • Workgroup(s)/Project(s):
  • Date: October 2015
  • Location: Chicago, IL, USA
  • ISBN: 978-1-4673-9783-4
  • Event: 2015 IEEE Conference on Visual Analytics Science and Technology (VAST) (2015)
  • Conference date: 25. October 2015 – 30. October 2015
  • Pages: 197 – 198

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.

Additional Files and Images

No additional files or images.

Weblinks

No further information available.

BibTeX

@misc{Ganuza_ML_2015_ISA,
  title =      "Interactive Semi-Automatic Categorization for Spinel Group
               Minerals",
  author =     " Mar\'{i}a Luj\'{a}n Ganuza and Maria Florencia Gargiulo and
               Gabriela Ferracutti and Silvia Castro and Ernesto Bjerg and
               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,
  location =   "Chicago, IL, USA ",
  isbn =       " 978-1-4673-9783-4",
  event =      "2015 IEEE Conference on Visual Analytics Science and
               Technology (VAST) (2015)",
  Conference date = "Poster presented at 2015 IEEE Conference on Visual Analytics
               Science and Technology (VAST) (2015)
               (2015-10-25--2015-10-30)",
  note =       "197--198",
  pages =      "197 – 198",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2015/Ganuza_ML_2015_ISA/",
}