Geosciences Visualization
For several years, members of the VyGLab together with an interdisciplinary group composed of professionals in Computer Science and Geological Sciences, have been working on topics related to Data Visualization applied to Geosciences. This interdisciplinary group is composed by researchers from the Institute of Computer Graphics and Algorithms of the Technical University of Vienna (TU-Wien), the VRVis Research Center of Vienna and the INGEOSUR, Instituto UNS-CONICET.
The work developed by geologists, both in the field and in the laboratory, involves great challenges in terms of the processing and analysis of the data obtained in each of these contexts. Geologists analyze large volumes of data from geochemical analyzes. These analyzes generate a large number of attributes for each analysis and have associated characteristic spatial domains such as prisms or tetrahedra.
Due to the different characteristics of the data involved, there is no single visual metaphor that can satisfy all analytical needs. For this reason, it is very useful to have a set of visual metaphors and associated visualization techniques to analyze these data. These representations must be able to effectively communicate the characteristics of the information space as well as encourage discovery.
In this context, we are working on the advance to the knowledge on the topic of visual analysis of multidimensional data constituted principal, although not exclusively, by geochemical, isotopic, petrological, mineralogical and structural data.
People Involved in this Topic
Dra. M. Luján Ganuza
Ing. Antonella S. Antonini
Dra. Silvia M. Castro
Dra. Florencia Gargiulo
Dra. Gabriela Ferracutti
Dr. Ernesto Bjerg
Main Related Publications
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Ganuza, M. L., Ferracutti, G., Gargiulo, F., Castro, S. M., Bjerg, E. A., Gröller, E., & Matković, K. (2017, May). Interactive visual categorization of spinel-group minerals. In Proceedings of the 33rd Spring Conference on Computer Graphics (p. 18). ACM. https://doi.org/10.1145/3154353.3154359
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Ganuza, M. L., Gargiulo, F., Ferracutti, G., Castro, S., Bjerg, E., Gröller, E., & Matković, K. (2015, October). Interactive semi-automatic categorization for spinel group minerals. In 2015 IEEE Conference on Visual Analytics Science and Technology (VAST)(pp. 197-198). IEEE. https://doi.org/10.1109/VAST.2015.7347676
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Ferracutti, G. R., Gargiulo, M. F., Ganuza, M. L., Bjerg, E. A., & Castro, S. M. (2015). Determination of the spinel group end-members based on electron microprobe analyses. Mineralogy and Petrology, 109(2), 153-160. https://doi.org/10.1007/s00710-014-0363-1
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Ganuza, M. L., Ferracutti, G., Gargiulo, M. F., Castro, S. M., Bjerg, E., Gröller, E., & Matković, K. (2014). The spinel explorer—interactive visual analysis of spinel group minerals. IEEE transactions on visualization and computer graphics, 20(12), 1913-1922. https://doi.org/10.1109/TVCG.2014.2346754
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Ganuza, M. L., Castro, S. M., Ferracutti, G., Bjerg, E. A., & Martig, S. R. (2012). SpinelViz: An interactive 3D application for visualizing spinel group minerals. Computers & Geosciences, 48, 50-56. https://doi.org/10.1016/j.cageo.2012.05.003
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Other Related Publications
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Ganuza, L., Antonini, A. S., Gargiulo, F., Ferracutti, G. Bjerg, E. A., Castro. S. M.,, Matković, K. Gröller, E. (2019). Análisis Visual de Datos Multidimiensionales Provenientes de Las Ciencias Geológicas. In XXI Workshop de Investigadores en Ciencias de la Computación (WICC 2019, Universidad de San Juan, Argentina).
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Ganuza, L., Trippel Nagel, J. M., Gazcón, N. F., Castro, S. M., Bjerg, E., Gargiulo, F., ... & Gröller, E. (2017, August). Visualización y realidad aumentada en el campo de las ciencias geológicas. In XIX Workshop de Investigadores en Ciencias de la Computación (WICC 2017, ITBA, Buenos Aires).
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Ganuza, M. L., Ferracutti, G., Gargiulo, M. F., Castro, S. M., Matković, K., Bjerg, E., & Gröller, E. (2015, May). Análisis visual en Geología. In XVII Workshop de Investigadores en Ciencias de la Computación (Salta, 2015).
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Ferracutti, G., Gargiulo, M. F., Ganuza, M. L., Castro, S. M., Bjerg, E.(2014). In Actas del XIX Congreso Geológico Argentino. ISBN 978-987-22403-5-6, S6-6: 744- 745.
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Ganuza, M. L., Larrea, M. L., Trippel Nagel, J. M., Urribarri, D. K., Castro, S. M., Ferracutti, G., ... & Bjerg, E. (2014, October). Visualización de Datos aplicada a resolver problemas en Ciencias Geológicas. In XVI Workshop de Investigadores en Ciencias de la Computación.
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Ganuza, M. L., Larrea, M. L., Castro, S. M., Bjerg, E., & Ferracutti, G. (2013). Visualización en Ciencias Geológicas. In XV Workshop de Investigadores en Ciencias de la Computación.
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Ganuza, M. L., Larrea, M. L., Martig, S. R., Castro, S. M., Bjerg, E., & Ferracutti, G. (2012). Visualización en Ciencias Geológicas. In XIV Workshop de Investigadores en Ciencias de la Computación.
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Ganuza, M. L., Castro, S. M., Martig, S. R., Bjerg, E., & Ferracutti, G. (2009). Mineral compositions visualization implementing the spinel prism. In XV Congreso Argentino de Ciencias de la Computación.
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Ganuza, M. L., Castro, S. M., Ferracutti, G., Bjerg, E. A., & Martig, S. R. (2012). SpinelViz: An interactive 3D application for visualizing spinel group minerals. Computers & Geosciences, 48, 50-56. https://doi.org/10.1016/j.cageo.2012.05.003
Ganuza, M. L., Castro, S. M., Martig, S. R., Bjerg, E., & Ferracutti, G. (2009). Mineral compositions visualization implementing the spinel prism. In XV Congreso Argentino de Ciencias de la Computación.
