EuroVisSTAR2014

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https://diglib.eg.org/handle/10.2312/7749

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Browsing EuroVisSTAR2014 by Subject "H.5.2 [Information Interfaces and Presentation]"

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    The State of the Art in Visualizing Dynamic Graphs
    (The Eurographics Association, 2014) Beck, Fabian; Burch, Michael; Diehl, Stephan; Weiskopf, Daniel; R. Borgo and R. Maciejewski and I. Viola
    Dynamic graph visualization focuses on the challenge of representing the evolution of relationships between entities in readable, scalable, and effective diagrams. This work surveys the growing number of approaches in this discipline. We derive a hierarchical taxonomy of techniques by systematically categorizing and tagging publications. While static graph visualizations are often divided into node-link and matrix representations, we identify the representation of time as the major distinguishing feature for dynamic graph visualizations: either graphs are represented as animated diagrams or as static charts based on a timeline. Evaluations of animated approaches focus on dynamic stability for preserving the viewer's mental map or, in general, compare animated diagrams to timeline-based ones. Finally, we identify and discuss challenges for future research.
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    A Survey on Interactive Lenses in Visualization
    (The Eurographics Association, 2014) Tominski, Christian; Gladisch, Stefan; Kister, Ulrike; Dachselt, Raimund; Schumann, Heidrun; R. Borgo and R. Maciejewski and I. Viola
    Since their introduction in the early nineties, Magic Lenses have attracted much interest. Especially in the realm of visualization, the elegance of using a virtual interactive lens to provide an alternative visual representation of a selected part of the data is highly valued. In this report, we survey the literature on interactive lenses in the context of visualization. Our survey (1) takes a look at how lenses are defined and what properties characterize them, (2) reviews existing lenses for different types of data and tasks, and (3) illustrates the technologies employed to display lenses and to interact with them. Based on our review, we identify challenges and unsolved problems to be addressed in future research.
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    Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges
    (The Eurographics Association, 2014) Alsallakh, Bilal; Micallef, Luana; Aigner, Wolfgang; Hauser, Helwig; Miksch, Silvia; Rodgers, Peter; R. Borgo and R. Maciejewski and I. Viola
    A variety of data analysis problems can be modelled by defining multiple sets over a collection of elements and analyzing the relations between these sets. Despite their simple concept, visualizing sets is a non-trivial problem due to the large number of possible relations between them. We provide a systematic overview of state-of-theart techniques for visualizing different kinds of set relations. We classify these techniques into 7 main categories according to the visual representations they use and the tasks they support. We compare the categories to provide guidance for choosing an appropriate technique for a given problem. Finally, we identify challenges in this area that need further research and propose possible directions to address with these challenges.