Hierarchical aggregation for information visualization: overview, techniques, and design guidelines
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Updated: Aug 11, 2026

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
Published on: January 2, 2011
Niklas Elmqvist1, Jean-Daniel Fekete
1Purdue University, West Lafayette, IN, USA. elm@purdue.edu
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.
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