II Challenges in Data Mapping Part II deals with one of the most challenging tasks in Interactive Visualization, mapping and teasing out information from large complex datasets and generating visual representations. This section consists of four chapters. Binh Pham, Alex Streit, and Ross Brown provide a comprehensive requirement analysis of information uncertainty visualizations. They examine the sources of uncertainty, review aspects of its complexity, introduce typical models of uncertainty, and analyze major issues in visualization of uncertainty, from various user and task perspectives. Alfred Inselberg examines challenges in the multivariate data analysis. He explains how relations among multiple variables can be mapped uniquely into ?-space subsets having geometrical properties and introduces Parallel Coordinates meth- ology for the unambiguous visualization and exploration of a multidimensional geometry and multivariate relations. Christiaan Gribble describes two alternative approaches to interactive particle visualization: one targeting desktop systems equipped with programmable graphics hardware and the other targeting moderately sized multicore systems using pack- based ray tracing. Finally, Christof Rezk Salama reviews state-of-the-art strategies for the assignment of visual parameters in scientific visualization systems. He explains the process of mapping abstract data values into visual based on transfer functions, clarifies the terms of pre- and postclassification, and introduces the state-of-the-art user int- faces for the design of transfer functions.

First fully integrated book on Interactive Visualisation Multi-disciplinary approach Provides an overview of advanced visualisation algorithms and methods Discusses principles for choosing appropriate display systems and input/output devices Explores strategies for design and evaluation of interactive visualisation and exploration tools Presents successful case studies using virtual and augmented reality technologies

Klappentext
This unique, multi-disciplinary volume provides an insight into an active and vital area of research Interactive Visualization. Interactive Visualization enables the development of new scientific techniques to view data, and to use interaction capabilities to interrogate and navigate through datasets and better communicate the results. A wide range of topics are covered in this important new book, representing the state of the art in this research area and providing a special emphasis on: • Advanced data representation; • Integration of visualization and modelling techniques; • Novel user interfaces for data exploration and analysis; • Virtual environments and collaborative visualization; • Design and evaluation of interactive visualization tools and systems. Students and researchers in scientific and information visualization, virtual reality, human-computer interaction, interface and interaction design, computer graphics and multimedia will find the book an excellent survey of this exciting field.

Inhalt
Overview of Interactive Visualisation.- Challenges in Data Mapping.- Visualisation of Information Uncertainty: Progress and Challenges..- Parallel Coordinates: Interactive Visualisation for High Dimensions.- Interactive Particle Visualisation.- Visual Parameters and Transfer Functions.- Design and Evaluation.- Gaining Greater Insight through Interactive Visualization: A Human Factors Perspective.- Perceptual and Design Principles for Effective Interactive Visualisations.- Applying a User-centered Approach to Interactive Visualisation Design.- A Visualisation Framework for Collaborative VirtualEnvironment Usage Information.- Novel User Interfaces.- Virtual Reality-Based Interactive Scientific Visualization Environments.- Interactive Molecular Visualisation at the Interface.- Point, Talk, and Publish: Visualisation and the Web.- Integrating Visualization and Modeling.- Extending Measurement Science to Interactive Visualisation Environments.- Interactive Spatiotemporal Reasoning.- Interactive Statistical Modeling with XGms.- Interactive Mathematical Visualisations: Frameworks, Tools and Studies.