Pathways for Theoretical Advances in Visualization

Chen, Min; Grinstein, Georges; Johnson, Chris R.; Kennedy, Jessie; Tory, Melanie

Abstract

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.

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. https://doi.org/10.1109/MCG.2017.3271463

• Journal Article Type: Article
• Acceptance Date: Mar 25, 2017
• Publication Date: 2017-07
• Deposit Date: Apr 3, 2017
• Publicly Available Date: Apr 3, 2017
• Journal: IEEE Computer Graphics and Applications
• Print ISSN: 0272-1716
• Peer Reviewed: Peer Reviewed
• Volume: 37
• Issue: 4
• Pages: 103-112
• DOI: https://doi.org/10.1109/MCG.2017.3271463
• Keywords: Theory of visualization, theoretical foundation, concept, >> taxonomy, ontology, principle, guideline, model, experiment, simulation, measurement, framework, quantitative law, theoretic system
• Public URL: http://researchrepository.napier.ac.uk/Output/824549
• Contract Date: Apr 3, 2017