Hierarchical Aggregation for Information Visualization: Overview, Techniques, and Design Guidelines

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 augment...

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Vydáno v:IEEE transactions on visualization and computer graphics Ročník 16; číslo 3; s. 439 - 454
Hlavní autoři: Elmqvist, N., Fekete, J.-D.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.05.2010
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Témata:
Agglomeration
Aggregation
Algorithms
Buildings
clustering
clutter reduction
Computer Graphics
Computer Science
Data visualization
Displays
Guidelines
Human-Computer Interaction
Image Interpretation, Computer-Assisted - methods
Information Storage and Retrieval - methods
massive data sets
Mathematical models
Models, Theoretical
Navigation
Representations
Scalability
Scattering
Software
Software Design
Testing
User-Computer Interface
Visual
Visual analytics
visual exploration
Visualization
Vocabulary
ISSN:1077-2626, 1941-0506
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Popis
Shrnutí: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.
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ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2009.84