Ward, M. and Grinstein, G. and Keim, D.: Interactive Data Visualization: Foundations, Techniques, and Application, A K Peters, 2010.: Difference between revisions

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New page: thumb|left|[Transatlantic Publishers, 2010] <b>Type:</b> Hardback<br> <b>Authors:</b> Matthew Ward, [[Grinstein, Georges G.|Georges G. Gr...
 
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<b>Type:</b> Hardback<br>
<b>Type:</b> Hardback<br>
<b>Authors:</b> [[Ward, Matthew|Matthew Ward]], [[Grinstein, Georges G.|Georges G. Grinstein]], and [[Keim, Daniel|Daniel Keim]]<br>
<b>Authors:</b> [[Ward, Matthew O.|Matthew Ward]], [[Grinstein, Georges G.|Georges G. Grinstein]], and [[Keim, Daniel|Daniel Keim]]<br>
<b>Pages:</b> 500<br>
<b>Pages:</b> 500<br>
<b>Publisher:</b> A K Peters<br>
<b>Publisher:</b> A K Peters<br>

Revision as of 09:48, 19 October 2010

[Transatlantic Publishers, 2010]

Type: Hardback
Authors: Matthew Ward, Georges G. Grinstein, and Daniel Keim
Pages: 500
Publisher: A K Peters
Publication Date: May 2010
Accompanying Website: http://www.idvbook.com/


Visualization is the process of representing data, information, and knowledge in a visual form to support the tasks of exploration, confirmation, presentation, and understanding. This book is designed as a textbook for students, researchers, analysts, professionals, and designers of visualization techniques, tools, and systems. It covers the full spectrum of the field, including mathematical and analytical aspects, ranging from its foundations to human visual perception; from coded algorithms for different types of data, information and tasks to the design and evaluation of new visualization techniques. Sample programs are provided as starting points for building one’s own visualization tools. Numerous data sets have been made available that highlight different application areas and allow readers to evaluate the strengths and weaknesses of different visualization methods. Exercises, programming projects, and related readings are given for each chapter. The book concludes with an examination of several existing visualization systems and projections on the future of the field.



ISBN 9781568814735

Table of Contents

  1. Introduction
  2. Data Foundations
  3. Human Perception and Information Processing
  4. Visualization Foundations
  5. Visualization Techniques for Spatial Data
  6. Visualization Techniques for Geospatial Data
  7. Visualization Techniques for Multivariate Data
  8. Visualization Techniques for Trees, Graphs, and Networks
  9. Text and Document Visualization
  10. Interaction Concepts
  11. Interaction Techniques
  12. Designing Effective Visualizations
  13. Comparing and Evaluating Visualization Techniques
  14. Visualization Systems
  15. Research Directions in Visualization

A   History of Computer Graphics and Visualization
B   Example Data Sets
C   Sample Programs
Bibliography

see book website for details.


References

[Transatlantic Publishers, 2010] Transatlantic Publishers, Interactive Data Visualization: Foundations, Techniques, and Application, Retrieved at: October 19, 2010. http://www.transatlanticpublishers.com/index.php?module=Website&action=ProductDetails&content=2985

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