Scientific Visualization
Uncertainty, Multifield, Biomedical, and Scalable Visualization
Published on 30. September 2014
Book
Hardback
XVII, 400 pages
978-1-4471-6496-8 (ISBN)
Description
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.
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 / Votes
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)More details
Product info
Book
Series
Language
English
Place of publication
London
United Kingdom
Target group
Research
Illustrations
10 s/w Abbildungen, 107 farbige Abbildungen, 1 s/w Tabelle
400 farbige Abbildungen, Bibliographie
Dimensions
Height: 241 mm
Width: 161 mm
Thickness: 30 mm
Weight
785 gr
ISBN-13
978-1-4471-6496-8 (9781447164968)
DOI
10.1007/978-1-4471-6497-5
Schweitzer Classification
Other editions
Additional editions
Charles D. Hansen | Min Chen | Christopher R. Johnson
Scientific Visualization
Uncertainty, Multifield, Biomedical, and Scalable Visualization
Book
09/2016
Springer
€106.99
Shipment within 15-20 days
Charles D. Hansen | Min Chen | Christopher R. Johnson
Scientific Visualization
Uncertainty, Multifield, Biomedical, and Scalable Visualization
E-Book
09/2014
1st Edition
Springer
€96.29
Available for download
Content
Overview and State-of-the-Art of Uncertainty Visualization.- Uncertainty Visualization and Color Vision Deficiency.- Analysis of Uncertain Scalar Data with Hixels.- On the (Un)Suitability of Strict Feature Definitions for Uncertain Data.- The Haunted Swamps of Heuristics: Uncertainty in Problem Solving.- Visualizing Uncertainty in Predictive Models.- Incorporating Uncertainty in Intrusion Detection to Enhance Decision Making.- Fuzzy Fibers: Uncertainty in dMRI Tractography.- Mathematical Foundations of Uncertain Field Visualization.- Definition of a Multifield.- Categorization.- Fusion of Visual Channels.- Glyph-Based Multifield Visualization.- Derived Fields.- Interactive Visual Exploration and Analysis.- Visual Exploration of Multivariate Volume Data Based on Clustering.- Feature-Based Visualization of Multifields.- Feature Analysis in Multifields.- Future Challenges and Unsolved Problems in Multi-Field Visualization.- Overview of Visualization in Biology and Medicine.- Visualization in Connectomics.- Visualization in Biology and Medicine.- From Individual to Population: Challenges in Medical Visualization.- The Ultrasound Visualization Pipeline.- Visual Exploration of Simulated and Measured Blood Flow.- Large-Scale Integration-Based Vector Field Visualization.- Large Scale Data Analysis.- Cross-Scale, Multi-Scale, and Multi-Source Data Visualization and Analysis Issues and Opportunities.- Scalable Devices.- Scalable Representation.- Distributed Post-Processing and Rendering for Large-Scale Scientific Simulations.