Foundations of Data Visualization
This is the first book that focuses entirely on the fundamental questions in visualization. Unlike other existing books in the field, it contains discussions that go far beyond individual visual representations and individual visualization algorithms. It
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oundations of Data Visualization
Foundations of Data Visualization
Min Chen Helwig Hauser Penny Rheingans Gerik Scheuermann •
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Editors
Foundations of Data Visualization
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Editors Min Chen University of Oxford Oxford, UK Penny Rheingans University of Maryland, Baltimore County Baltimore, MD, USA
Helwig Hauser Department of Informatics University of Bergen Bergen, Norway Gerik Scheuermann Institut für Informatik Universität Leipzig Leipzig, Germany
ISBN 978-3-030-34443-6 ISBN 978-3-030-34444-3 https://doi.org/10.1007/978-3-030-34444-3
(eBook)
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Foreword
Foundations of Data Visualization should become required reading for visualization researchers. In my Visualization Viewpoints article on Top Scientific Visualization Problems,1 I encouraged visualization researchers to engage in what Bill Hibbard called “foundational problems” in visualization.2 Researchers responded with exciting new papers describing theoretic frameworks, new conceptual models, ontologies, and taxonomies.3 The editors of Foundations of Visualization, Min Chen, Helwig Hauser, Penny Rheingans, and Gerik Scheuermann, have assembled a who’s who among international visualization researchers contributing to foundational visualization problems. Foundations of Data Visualization begins by introducing important basic concepts related to visual abstractions, what measurement means in visual spaces, and knowledge-assisted models, including an information-theoretic perspective. The book then moves on to explore the fundamental mathematical and computer science underpinnings of visualization, illuminating many essential links between comput
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