Scientific Visualization

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)

• 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.