Computing perceptually optimal visualizations

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Abstract

Visualization is often more an art than a science. Here a model-based approach to visualization is promoted in order to make steps forward in this respect. The main ingredients of this approach are the derivation of a quantitative model of the perception of (certain aspects of) a visualization, the definition of an optimal visualization, followed by its computation. Some examples of this approach are presented, with optimal zooming and panning as main example. Advantages and problems are discussed. In conclusion, we think this approach to be challenging and promising, although we acknowledge that it is not an easy route.
Original languageEnglish
Title of host publicationMathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration
EditorsT. Möller, B. Hamann, R.D. Russell
Place of PublicationBerlin
PublisherSpringer
Pages343-350
ISBN (Print)978-3-540-25076-0
DOIs
Publication statusPublished - 2009

Publication series

NameMathematics and Visualization
ISSN (Print)1612-3786

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Wijk, van, J. J. (2009). Computing perceptually optimal visualizations. In T. Möller, B. Hamann, & R. D. Russell (Eds.), Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration (pp. 343-350). (Mathematics and Visualization). Berlin: Springer. https://doi.org/10.1007/b106657_18