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Expanding the Frontiers of Visual Analytics and Visualization

By John Dill , Rae Earnshaw , David Kasik , John Vince , Pak Chung Wong

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Expanding the Frontiers of Visual Analytics and Visualization Cover Image

Dedicated to the memory of leading exponent Jim Thomas, this volume includes contributions from a wealth of international experts who explore varied aspects of a discipline that becomes more important with every petabyte added to the world’s stored data.

Full Description

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  • ISBN13: 978-1-4471-2803-8
  • 578 Pages
  • User Level: Science
  • Publication Date: April 17, 2012
  • Available eBook Formats: PDF
Full Description
The field of computer graphics combines display hardware, software, and interactive techniques in order to display and interact with data generated by applications. Visualization is concerned with exploring data and information graphically in such a way as to gain information from the data and determine significance. Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces.Expanding the Frontiers of Visual Analytics and Visualization provides a review of the state of the art in computer graphics, visualization, and visual analytics by researchers and developers who are closely involved in pioneering the latest advances in the field. It is a unique presentation of multi-disciplinary aspects in visualization and visual analytics, architecture and displays, augmented reality, the use of color, user interfaces and cognitive aspects, and technology transfer. It provides readers with insights into the latest developments in areas such as new displays and new display processors, new collaboration technologies, the role of visual, multimedia, and multimodal user interfaces, visual analysis at extreme scale, and adaptive visualization.
Table of Contents

Table of Contents

  1. List of Contributors.
  2. Introduction – the Best is Yet to Come.
  3. Part 1: Evolving a Vision.
  4. An Illuminated Path: The Impact of the Work of Jim Thomas.
  5. The Evolving Leadership Path of Visual Analytics.
  6. Part 2: Visual Analytics and Visualization.
  7. Visual Search and Analysis in Complex Information Spaces – Approaches and Research Challenges.
  8. Dynamic Visual Analytics – Facing the Real
  9. Time Challenge.
  10. A Review of Uncertainty in Data Visualization.
  11. How to Draw a Graph, Revisited.
  12. Using Extruded Volumes to Visualize Time
  13. Series Data Sets.
  14. Event Structuring as a General Approach to Building Knowledge in Time
  15. Based Collections.
  16. A Visual Analytics Approach for Protein Disorder Prevention.
  17. Visual Storytelling in Education applied to Spatio
  18. temporal Multivariate Statistics Data.
  19. Part 3: Interaction and User Interfaces.
  20. Top Ten Interaction Challenges in Extreme
  21. Scale Visual Analytics.
  22. GUI 4D – the Role and the Impact of Visual, Multimedia and Multilingual User Interfaces in ICT Applications and Services for Users Coming from the Bottom of the Pyramid – First Concepts, Prototypes, and Experiences.
  23. Emotion in Human Computer Interaction.
  24. Applying Artistic Color Theories to Visualization.
  25. E
  26. Culture and M
  27. Culture: the Way that Communication Systems and Mobile Devices are Changing the Nature of Art, Design and Culture.
  28. Part 4: Modeling and Geometry.
  29. Shape Identification in Temporal Data Sets.
  30. SSD
  31. C: Smooth Signed Distance Colored Surface Reconstruction.
  32. Geometric Issues in Object Manipulation in Task Animation and Virtual Reality.
  33. An Analytical Approach to Dynamic Skin Deformation for Character Animation.
  34. Part 5: Architecture and Displays.
  35. The New Visualization Engine – the Heterogeneous Processor Unit.
  36. Smart Cloud Computing.
  37. Visualization Surfaces.
  38. Part 6: Virtual Reality and Augmented Reality.
  39. The Development of Mobile Augmented Reality.
  40. Multimodal Interfaces for Augmented Reality.
  41. Part 7: Technology Transfer.
  42. Knowledge Exchange,Technology Transfer and the Academy.
  43. Discovering and Transitioning Technology.
  44. Technology Transfer at IBBT
  45. EDM: a Case Study in the Computer Graphics Domain.
  46. Building Adoption of Visual Analytics Software.
  47. Author Index.

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    1. Distributed User Interfaces: Usability and Collaboration


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