Research Output

Pathways for Theoretical Advances in Visualization

  There is little doubt that having a theoretic foundation will benefit the field of visualization, including its main subfields: information visualization, scientific visualization and visual analytics, as well as many domain-specific applications such as software visualization, biomedical visualization, and many others. Since there has been a substantial amount of work on taxonomies and conceptual models in the visualization literature, and some recent work on theoretic frameworks, such a theoretic foundation is not merely a foolish or impractical ambition. In this article, the authors focus on the question “How can we build a theoretic foundation for visualization collectively as a community?” In particular, the authors envision the pathways for four different aspects of a theoretic foundation, namely (i) taxonomies and ontologies, (ii) principles and guidelines, (iii) conceptual models and theoretic frameworks, and (iv) quantitative laws and theoretic systems.

  • Type:

    Conference Paper

  • Date:

    01 July 2017

  • Publication Status:

    Published

  • DOI:

    10.1109/MCG.2017.3271463

  • ISSN:

    0272-1716

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    006 Special Computer Methods

  • Funders:

    Edinburgh Napier Funded

Citation

Chen, M., Grinstein, G., Johnson, C. R., Kennedy, J., & Tory, M. (2017). Pathways for Theoretical Advances in Visualization. IEEE Computer Graphics and Applications, 37(4), (103-112). doi:10.1109/MCG.2017.3271463. ISSN 0272-1716

Authors

Keywords

Theory of visualization, theoretical foundation, concept, >> taxonomy, ontology, principle, guideline, model, experiment, simulation, measurement, framework, quantitative law, theoretic system

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