Now showing items 21-26 of 26

    • Styrian Diversity Visualisation: Visualising Statistical Open Data with a LeanWeb App and Data Server 

      Andrews, Keith; Traunmüller, Thomas; Wolkinger, Thomas; Goldgruber, Eva; Gutounig, Robert; Ausserhofer, Julian (The Eurographics Association, 2016)
      Statistical open data is usually provided only in the form of spreadsheets or CSV files. The developers of open data apps must either restrict themselves to managable bite-sized chunks of data, which can be consumed (read, ...
    • Eurovis Posters 2016: Frontmatter 

      Tobias Isenberg; Filip Sadlo (Eurographics Association, 2016)
    • Large-scale Argument Visualization (LSAV) 

      Khartabil, Dana; Wells, S.; Kennedy, Jessie (The Eurographics Association, 2016)
      Arguments are structures of premises and conclusions that underpin rational reasoning processes. Within complex knowledge domains, especially if they are contentious, argument structures can become large and complex. ...
    • TaCo: Comparative Visualization of Large Tabular Data 

      Hourieh, Reem; Stitz, Holger; Gehlenborg, Nils; Streit, Marc (The Eurographics Association, 2016)
      Tabular data plays a vital role in many different domains. In the course of a project, changes to the structure and content of tables can result in multiple instances of a table. A challenging task when working with such ...
    • Visual Data Exploration for Balance Quantification During Exergaming 

      Soancatl, Venustiano; Gronde, J. J. van de; Lamoth, C. J. C.; Maurits, N. M.; Roerdink, Jos B. T. M. (The Eurographics Association, 2016)
      Recently, digital games controlled by real-time body movements (exergames) have been proposed as an innovative method to improve balance among older adults. One of the main challenges for exergames is to automatically ...
    • Towards Combining Attribute-based and Time Series-based Visual Querying 

      Sessler, David; Spott, Martin; Nauck, Detlef; Harmer, William; Kohlhammer, Jörn; Bernard, Jürgen (The Eurographics Association, 2016)
      We present a concept for the visual-interactive definition of meaningful subsets in data sets comprising multivariate attributes and time series data. Based on a generalization of requirements of a real-world user group, ...