• DocumentCode
    3705615
  • Title

    Interactive semi-automatic categorization for spinel group minerals

  • Author

    Mar?a Luj?n Ganuza;Florencia Gargiulo;Gabriela Ferracutti;Silvia Castro;Ernesto Bjerg;Eduard Gr?ller;Kre?imir Matkovi?

  • Author_Institution
    VyGLab, UNS, USA
  • fYear
    2015
  • Firstpage
    197
  • Lastpage
    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.
  • Keywords
    "Minerals","Brushes","Three-dimensional displays","Rocks","Manuals","Standards"
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on
  • Type

    conf

  • DOI
    10.1109/VAST.2015.7347676
  • Filename
    7347676