Issue No. 06 - November/December (2010 vol. 16)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2010.126
Angus Graeme Forbes , Media Arts & Technol. Dept., Univ. of California, Santa Barbara, CA, USA
Tobias Höllerer , Dept. of Comput. Sci., Univ. of California, Santa Barbara, CA, USA
George Legrady , Media Arts & Technol. Dept., Univ. of California, Santa Barbara, CA, USA
While a number of information visualization software frameworks exist, creating new visualizations, especially those that involve novel visualization metaphors, interaction techniques, data analysis strategies, and specialized rendering algorithms, is still often a difficult process. To facilitate the creation of novel visualizations we present a new software framework, behaviorism, which provides a wide range of flexibility when working with dynamic information on visual, temporal, and ontological levels, but at the same time providing appropriate abstractions which allow developers to create prototypes quickly which can then easily be turned into robust systems. The core of the framework is a set of three interconnected graphs, each with associated operators: a scene graph for high-performance 3D rendering, a data graph for different layers of semantically-linked heterogeneous data, and a timing graph for sophisticated control of scheduling, interaction, and animation. In particular, the timing graph provides a unified system to add behaviors to both data and visual elements, as well as to the behaviors themselves. To evaluate the framework we look briefly at three different projects all of which required novel visualizations in different domains, and all of which worked with dynamic data in different ways: an interactive ecological simulation, an information art installation, and an information visualization technique.
Data visualization, Visualization, Rendering (computer graphics), Timing, Data models, Animation, Programming
A. G. Forbes, T. Höllerer and G. Legrady, "behaviorism: a framework for dynamic data visualization," in IEEE Transactions on Visualization & Computer Graphics, vol. 16, no. 6, pp. 1164-1171, 2010.