Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
M. Ganuza, E. Gröller, K. Matkovic:
"Interactive Semi-Automatic Categorization for Spinel Group Minerals";
Poster: IEEE Vis 2015,
Chicago, IL, USA;
25.10.2015
- 30.10.2015; in: "IEEE Conference on Visual Analytics Science and Technology (VAST) (2015)",
(2015),
ISBN: 978-1-4673-9783-4;
S. 197
- 198.
Kurzfassung englisch:
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.
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/VAST.2015.7347676
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.