Scientific Visualization
Uncertainty, Multifield, Biomedical, and Scalable Visualization
Editors: Hansen, C.D., Chen, M., Johnson, C.R., Kaufman, A.E., Hagen, H. (Eds.)
Free Preview- 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
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- About this book
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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
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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)
- Table of contents (31 chapters)
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Overview and State-of-the-Art of Uncertainty Visualization
Pages 3-27
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Uncertainty Visualization and Color Vision Deficiency
Pages 29-33
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Analysis of Uncertain Scalar Data with Hixels
Pages 35-44
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On the (Un)Suitability of Strict Feature Definitions for Uncertain Data
Pages 45-50
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The Haunted Swamps of Heuristics: Uncertainty in Problem Solving
Pages 51-60
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Table of contents (31 chapters)
- Download Preface 1 PDF (47.8 KB)
- Download Sample pages 2 PDF (284.1 KB)
- Download Table of contents PDF (338 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Scientific Visualization
- Book Subtitle
- Uncertainty, Multifield, Biomedical, and Scalable Visualization
- Editors
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- Charles D. Hansen
- Min Chen
- Christopher R. Johnson
- Arie E. Kaufman
- Hans Hagen
- Series Title
- Mathematics and Visualization
- Copyright
- 2014
- Publisher
- Springer-Verlag London
- Copyright Holder
- Springer-Verlag London
- eBook ISBN
- 978-1-4471-6497-5
- DOI
- 10.1007/978-1-4471-6497-5
- Hardcover ISBN
- 978-1-4471-6496-8
- Softcover ISBN
- 978-1-4471-7104-1
- Series ISSN
- 1612-3786
- Edition Number
- 1
- Number of Pages
- XVII, 400
- Number of Illustrations
- 10 b/w illustrations, 107 illustrations in colour
- Topics
