Editors:
- Provides an introduction to uncertainty visualization, multi field visualization, biomedical visualization and scalable visualization
- Provides in-depth examples of each of these topics and the mathematical process for implementing the examples
- Provides applications of each of these topics to real world problems
- Includes supplementary material: sn.pub/extras
Part of the book series: Mathematics and Visualization (MATHVISUAL)
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Table of contents (31 chapters)
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Front Matter
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Uncertainty Visualization
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Front Matter
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Multifield Visualization
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Front Matter
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About this book
Based on the seminar that took place in Dagstuhl, Germany in June 2011, this contributed volume studies the four important topics within the scientific visualization field: uncertainty visualization, multifield visualization, biomedical visualization and scalable visualization.
• Uncertainty visualization deals with uncertain data from simulations or sampled data, uncertainty due to the mathematical processes operating on the data, and uncertainty in the visual representation,
• Multifield visualization addresses the need to depict multiple data at individual locations and the combination of multiple datasets,
• Biomedical is a vast field with select subtopics addressed from scanning methodologies to structural applications to biological applications,
• Scalability in scientific visualization is critical as data grows and computational devices range from hand-held mobile devices to exascale computational platforms.
Scientific Visualization will be useful to practitioners of scientific visualization, students interested in both overview and advanced topics, and those interested in knowing more about the visualization process.
Reviews
From the book reviews:
“This carefully edited volume consists of papers contributed by the participants of a seminar held in Dagstuhl, Germany in 2011. … The book will surely be well received by scientists, engineers, and medical practitioners. It is a must-have for a scientific library.” (Soubhik Chakraborty, Computing Reviews, February, 2015)
Editors and Affiliations
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School of Computing Scientific Computing and Imaging Institu, University of Utah, Salt Lake City, USA
Charles D. Hansen, Christopher R. Johnson
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e-Research Centre, University of Oxford, Oxford, United Kingdom
Min Chen
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Department of Computer Science, Stony Brook University, New York, USA
Arie E. Kaufman
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Fachbereich Informatik, Technische Universität Kaiserslautern, Kaiserslautern, Germany
Hans Hagen
Bibliographic Information
Book Title: Scientific Visualization
Book Subtitle: Uncertainty, Multifield, Biomedical, and Scalable Visualization
Editors: Charles D. Hansen, Min Chen, Christopher R. Johnson, Arie E. Kaufman, Hans Hagen
Series Title: Mathematics and Visualization
DOI: https://doi.org/10.1007/978-1-4471-6497-5
Publisher: Springer London
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag London 2014
Hardcover ISBN: 978-1-4471-6496-8Published: 30 September 2014
Softcover ISBN: 978-1-4471-7104-1Published: 27 September 2016
eBook ISBN: 978-1-4471-6497-5Published: 18 September 2014
Series ISSN: 1612-3786
Series E-ISSN: 2197-666X
Edition Number: 1
Number of Pages: XVII, 400
Number of Illustrations: 10 b/w illustrations, 107 illustrations in colour
Topics: Visualization, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Graphics