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 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.
Purdue University, West Lafayette, IN, USA. elm@purdue.edu
Niklas
N
Elmqvist
Jean-Daniel
JD
Fekete
D000465:Algorithms; D003196:Computer Graphics; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods*; D008962:Models, Theoretical; D012984:Software; D012985:Software Design; D014584:User-Computer Interface