Overview
- Enriches readers’ broad appreciation of the connections from theoretical and mathematical research to empirical studies and application case studies
- Stimulates readers’ insight into the scientific foundations of data visualization
- Inspires readers to make ground-breaking contributions to the discipline of visualization
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Table of contents (21 chapters)
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Theoretical Underpinnings of Data Visualization
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Empirical Studies in Visualization
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Collaboration with Domain Experts
Keywords
About this book
Data visualization is a relatively young scientific discipline. Over the last three decades, a large collection of computer-supported visualization techniques have been developed, and the merits and benefits of using these techniques have been evidenced by numerous applications in practice. These technical advancements have given rise to the scientific curiosity about some fundamental questions such as why and how visualization works, when it is useful or effective and when it is not, what are the primary factors affecting its usefulness and effectiveness, and so on. This book signifies timely and exciting opportunities to answer such fundamental questions by building on the wealth of knowledge and experience accumulated in developing and deploying visualization technology in practice.
Editors and Affiliations
About the editors
Bibliographic Information
Book Title: Foundations of Data Visualization
Editors: Min Chen, Helwig Hauser, Penny Rheingans, Gerik Scheuermann
DOI: https://doi.org/10.1007/978-3-030-34444-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-34443-6Published: 12 August 2020
Softcover ISBN: 978-3-030-34446-7Published: 13 August 2021
eBook ISBN: 978-3-030-34444-3Published: 11 August 2020
Edition Number: 1
Number of Pages: XVII, 389
Number of Illustrations: 9 b/w illustrations, 101 illustrations in colour
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, User Interfaces and Human Computer Interaction, Visualization