Expanding the Frontiers of Visual Analytics and Visualization

  • John Dill
  • Rae Earnshaw
  • David Kasik
  • John Vince
  • Pak Chung Wong

Table of contents

  1. Front Matter
    Pages I-XLVII
  2. John Dill, Rae Earnshaw, David Kasik, John Vince, Pak Chung Wong
    Pages 1-5
  3. Evolving a Vision

    1. Front Matter
      Pages 7-7
    2. Chaomei Chen, Haiyan Hou, Zhigang Hu, Shengbo Liu
      Pages 9-30
    3. Mike Kluse, Anthony Peurrung, Deborah Gracio
      Pages 31-42
  4. Visual Analytics and Visualization

    1. Front Matter
      Pages 43-43
    2. T. von Landesberger, T. Schreck, D. W. Fellner, J. Kohlhammer
      Pages 45-67
    3. Florian Mansmann, Fabian Fischer, Daniel A. Keim
      Pages 69-80
    4. Ken Brodlie, Rodolfo Allendes Osorio, Adriano Lopes
      Pages 81-109
    5. Peter Eades, Seok-Hee Hong
      Pages 111-126
    6. Nick Schultz, Mike Bailey
      Pages 127-148
    7. William Ribarsky, Zachary Wartell, Wenwen Dou
      Pages 149-162
    8. Jaegul Choo, Fuxin Li, Keehyoung Joo, Haesun Park
      Pages 163-174
  5. Interaction and User Interfaces

About this book


The data deluge problem is increasing. Every day the results of scientific experiments, monitoring instruments, medical analysis, and social networks add petabytes to the world’s information. Many future experiments will generate data that will be substantially more than has been collected throughout history. How can we effectively translate this into meaningful information, particularly if there is a time critical element to the data? Although Moore’s law results in an ever-decreasing cost of processing, storage, and transmission – so that the data can be stored and transmitted – it does not necessarily follow that the data can be processed effectively. Visual analytics seeks to facilitate analytical reasoning supported by interactive visual interfaces in order to integrate the human into the analysis process.

Expanding the Frontiers of Visual Analytics and Visualization contains international contributions by leading researchers from within the field. Dedicated to the memory of Jim Thomas, the book begins with the dynamics of evolving a vision based on some of the principles that Jim and colleagues established and in which Jim’s leadership was evident. This is followed by chapters in the areas of visual analytics, visualization, interaction, modelling, architecture, and virtual reality, before concluding with the key area of technology transfer to industry.

Visual analytics and visualization bring together the areas of computer science, information visualization, cognitive and perceptual sciences, interactive design, graphic design, and social sciences.


Computer Animation Computer Graphics Human-Computer Interaction User Interfaces Visual Analytics Visualization

Editors and affiliations

  • John Dill
    • 1
  • Rae Earnshaw
    • 2
  • David Kasik
    • 3
  • John Vince
    • 4
  • Pak Chung Wong
    • 5
  1. 1.School of Interactive Arts & TechnologySimon Fraser UniversitySurreyCanada
  2. 2.School of Computing, Informatics & Media, Centre for Visual ComputingUniversity of BradfordBradfordUnited Kingdom
  3. 3.The Boeing CompanySeattleUSA
  4. 4.Bournemouth Media School, National Centre for Computer AnimationBournemouth UniversityPooleUnited Kingdom
  5. 5.Pacific Northwest National LaboratoryRichlandUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-2804-5
  • Copyright Information Springer-Verlag London Limited 2012
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-2803-8
  • Online ISBN 978-1-4471-2804-5
  • About this book
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