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The Fabric of Visualization

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Foundations of Data Visualization

Abstract

The visualization theory foundations draw on several domains, from signal processing to software design and perception. This chapter describes the landscape of visualization foundations along three aspects: a Humans aspect, a Systems aspect, and a Formal aspect, along with the domains the visualization foundations are rooted in. This chapter further provides definitions for the visualization, theory foundation, theory, model, and concept terms, and a discussion of theory granularity, from grand theories to middle-range theories and to practice theories. The chapter further discusses several challenges related to the theory fabric of the visualization that result from the diversity of our roots. The chapter ends with a discussion of possible evaluation criteria for theory components, with respect to the range of theories and models, from mathematical frameworks to guidelines and best practice advice presented in this book.

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Author information

Authors and Affiliations

  1. University of Illinois at Chicago, Chicago, USA

    G. Elisabeta Marai

  2. University of Vienna, Vienna, Austria

    Torsten Möller

Authors
  1. G. Elisabeta Marai
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  2. Torsten Möller
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Corresponding author

Correspondence to G. Elisabeta Marai .

Editor information

Editors and Affiliations

  1. University of Oxford, Oxford, UK

    Min Chen

  2. Department of Informatics, University of Bergen, Bergen, Norway

    Helwig Hauser

  3. University of Maryland, Baltimore County, Baltimore, MD, USA

    Penny Rheingans

  4. Institut für Informatik, Universität Leipzig, Leipzig, Germany

    Gerik Scheuermann

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Marai, G.E., Möller, T. (2020). The Fabric of Visualization. In: Chen, M., Hauser, H., Rheingans, P., Scheuermann, G. (eds) Foundations of Data Visualization. Springer, Cham. https://doi.org/10.1007/978-3-030-34444-3_1

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  • DOI: https://doi.org/10.1007/978-3-030-34444-3_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34443-6

  • Online ISBN: 978-3-030-34444-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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