Kerren, A., Stasko, J.T., Fekete J.-D., and North C. (Eds.): Information Visualization, volume 4950 of LNCS State-of-the-Art Survey, Springer, 2008

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[Springer, 2008]

Type: Softcover
Editors: Andreas Kerren, John T. Stasko, Jean Daniel Fekete, and Chris North
Pages: 177
Publisher: Springer
Publication Date: July 2008
Series: Volume 4950 of LNCS State-of-the-Art Survey

This book is the outcome of the Dagstuhl Seminar on "Information Visualization -- Human-Centered Issues in Visual Representation, Interaction, and Evaluation" held at Dagstuhl Castle, Germany, from May 28 to June 1, 2007.

Information Visualization (InfoVis) is a relatively new research area, which focuses on the use of visualization techniques to help people understand and analyze data.

This book documents and extends the findings and discussions of the various sessions in detail. The seven contributions cover the most important topics: There are general reflections on the value of information visualization; evaluating information visualizations; theoretical foundations of information visualization; teaching information visualization. And specific aspects on creation and collaboration: engaging new audiences for information visualization; process and pitfalls in writing information visualization research papers; and visual analytics: definition, process, and challenges. [Springer, 2008]

ISBN 978-3-540-70955-8

Table of Contents

  • Preface
  • 1 The Value of Information Visualization (J.-D. Fekete, J.J. van Wijk, J.T. Stasko, and C. North)
  • 2 Evaluating Information Visualization (S. Carpendale)
  • 3 Theoretical Foundations of Information Visualization (H.C. Purchase, N. Andrienko, T.J. Jankun-Kelly, and M. Ward)
  • 4 Teaching Information Visualization (A. Kerren, J.T. Stasko, and J. Dykes)
  • 5 Creation and Collaboration: Engaging New Audiences for Information Visualization (J. Heer, F. van Ham, S. Carpendale, C. Weaver, and P. Isenberg)
  • 6 Process and Pitfalls in Writing Information Visualization Research Papers (T. Munzner)
  • 7 Visual Analytics: Definition, Process, and Challenges (D. Keim, G. Andrienko, J.-D. Fekete, C. Görg, J. Kohlhammer, and G. Melançon)
  • Author Index


[Springer, 2008] Book description page [1]