Scientific Visualization

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.

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.