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Issue No. 03 - May/June (2010 vol. 16)
ISSN: 1077-2626
pp: 439-454
Jean-Daniel Fekete , INRIA Saclay, Université Paris-Sud, Paris
Niklas Elmqvist , Purdue University, West Lafayette
ABSTRACT
We present a model for building, visualizing, and interacting with multiscale representations of information visualization techniques using hierarchical aggregation. The motivation for this work is to make visual representations more visually scalable and less cluttered. The model allows for augmenting existing techniques with multiscale functionality, as well as for designing new visualization and interaction techniques that conform to this new class of visual representations. We give some examples of how to use the model for standard information visualization techniques such as scatterplots, parallel coordinates, and node-link diagrams, and discuss existing techniques that are based on hierarchical aggregation. This yields a set of design guidelines for aggregated visualizations. We also present a basic vocabulary of interaction techniques suitable for navigating these multiscale visualizations.
INDEX TERMS
Aggregation, clustering, clutter reduction, massive data sets, visual exploration, visual analytics.
CITATION
Jean-Daniel Fekete, Niklas Elmqvist, "Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines", IEEE Transactions on Visualization & Computer Graphics, vol. 16, no. , pp. 439-454, May/June 2010, doi:10.1109/TVCG.2009.84
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