Foundations of Data Visualization - Couverture rigide

 
9783030344436: Foundations of Data Visualization

Synopsis

Part I: Theoretical Underpinnings of Data Visualization.- The Fabric of Visualization.- Visual Abstraction.- Measures in Visualization Space.- Knowledge-Assisted Visualization and Guidance.- Mathematical Foundations in Visualizations.- Transformations, Mappings and Data Summaries.- Part II: Empirical Studies in Visualization.- A Survey of Variables Used in Empirical Studies for Visualization.- Empirical Evaluations with Domain Experts.- Evaluation of Visualization Systems with Long-term Case Studies.- Vis4Vis: Visualization for (Empirical) Visualization Research.- 'Isms' in Visualization.- Open Challenges in Empirical Visualization Research.- Part III: Collaboration with Domain Experts.- Case Studies for Working with Domain Experts.- Collaboration Between Industry and University.- Collaborating Successfully with Domain Experts.- Part IV: Developing Visualizations for Broad Audiences.- Reflections on Visualization for Broad Audiences.- Reaching Broad Audiences from a Research Institute Setting.- Reaching Broad Audiences from a Large Agency Setting.- Reaching Broad Audiences from a Science Center or Museum Setting.- Reaching Broad Audiences in an Educational Setting.- Challenges and Open Issues in Visualization for Broad Audiences

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À propos de l?auteur

Dr. Min Chen developed his academic career in Wales between 1984 and 2011. He is currently the professor of scientific visualization at Oxford University and a fellow of Pembroke College. His research interests include visualization, computer graphics and human-computer interaction. He has co-authored over 200 publications, including his recent contributions in areas such as theory of visualization, video visualization, visual analytics, and perception and cognition in visualization. He has worked on a broad spectrum of interdisciplinary research topics, ranging from the sciences to sports, and from digital humanities to cybersecurity. His services to the research community include co-chairships of several major conferences, associate editor-in-chief of IEEE Transactions on Visualization and Computer Graphics, and editor-in-chief of Computer Graphics Forum. He is a fellow of British Computer Society, European Computer Graphics Association, and Learned Society of Wales.
Helwig Hauser is professor in visualization at the University of Bergen, Norway, and the leader of a new Center for Data Science at the same University. Since his undergraduate and graduate studies at Vienna University of Technology, Austria, where he completed his PhD in the field of visualization, he is active as a researcher, PI, reviewer, editor, conference chair, committee member, etc., and as University teacher for over 20 years. His interests include visualization in general and the interactive visual exploration and analysis of data as well as visual data science in particular. With over 200 published papers (h-index > 50) and over 100 talks (keynotes, invited talks, etc.), he is recognized for his contributions to the field. For more information, see vis.UiB.no
Penny Rheingans is Professor and Director of the School of Computing and Information Science at the University of Maine, USA. She received a Ph.D in Computer Science from the University of North Carolina, Chapel Hill and an AB in Computer Science from Harvard University. She has made seminal contributions to the areas of perceptual, illustrative, and uncertainty visualization. She was part of the Executive Committee of the Visualization Research Challenges report in 2006. She serves on the Board of Directors of the Computing Research Association (CRA). Her current research interests include the visualization of data important to increasing student success, computing pedagogy, perceptual and illustration issues in visualization, and learning analytics.
Gerik Scheuermann is full professor at the Computer Science Department at Leipzig University, Germany. He studied mathematics at TU Kaiserslautern, Germany where he also got a PhD in visualization. For more than 20 years, he is an active researcher and teacher in visualization, with more than 250 peer-reviewed publications in the field. He has been paper chair for all major conferences in visualization, co-organized major conferences, and served as associated editor for major journals. His interests include most areas of visualization with a focus on topological, mathematical, and feature-based approaches and applications in engineering, medicine, bioinformatics, environmental sciences, and digital humanities. For more information see www.informatik.uni-leipzig.de/bsv

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Autres éditions populaires du même titre

9783030344467: Foundations of Data Visualization

Edition présentée

ISBN 10 :  3030344460 ISBN 13 :  9783030344467
Editeur : Springer, 2021
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