Rethinking Visualization: A High-Level Taxonomy

By Melanie Tory, Torsten Möller. IEEE Information Visualization Conference, 2004

301 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/23a317ae53e70094e849f836f9ec21e025903073

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In Computer Vision and Pattern Recognition

In Sociology and Political Science

Citations in the corpus

A Multi-Level Typology of Abstract Visualization Tasks (2013, unknown): “exclude [40, 70], screen: filter, suppress, conceal [42]*, maneuver: (data) management / culling [66]*, configure [73]*,”
Visual comparison for information visualization (2011, background): “We also place these out of the scope of this article.”
What Makes a Visualization Memorable? (2013, background): “Another approach to visualization taxonomies is based on the underlying algorithms of the visualization and not the data itself [32, 36].”
An Information-theoretic Framework for Visualization (2010, methodology): “Information theoretic measures have also been used in visualization and computer graphics, including scene and shape complexity analysis by Feixas et al. [15] and Rigau et al. [33], light source placement by Gumhold [20], view selection in mesh rendering by Vázquez et al. [46] and Feixas et al. [16”
Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization (2011, background): “In Rethinking Visualization [50] Tory and Möller provide a taxonomy to describe scientific and information visualization under the same structure.”
Casual Information Visualization: Depictions of Data in Everyday Life (2007, background): “The boundary between scientific visualization and infovis has been explored by Tory and Moller [ 37 ] who note ways that discrete and continuous data and the attribute types form a design space that contains both infovis and scientific visualization.”
A Nested Model for Visualization Design and Validation (2009, background): “Some of the issues we discuss at the Abstraction level were also addressed in Tory and Möller’s discussion of the transformation from user model into design model [43].”
Internet of Things (IoT): A vision, architectural elements, and future directions (2012, background): “They help in automatic identification of anything they are attached to acting as an electronic barcode [14,15].”