2005-08-26: Special Section on the IEEE InfoVis conference in "IEEE Transactions on Visualization and Computer Graphics": Difference between revisions
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[[Ward, Matthew O.|Matthew O. Ward]] and [[Munzner, Tamara|Tamara Munzner]] edited a special section on the IEEE InfoVis conference 2004 in Vol. 11, Nr. 4 (July/August 2005) of the [http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/trans/tg/&toc=comp/trans/tg/2005/04/v4toc.xml IEEE Transactions on Visualization and Computer Graphics]. The special section contains three expanded versions of papers presented at InfoVis 2004: | [[Ward, Matthew O.|Matthew O. Ward]] and [[Munzner, Tamara|Tamara Munzner]] edited a special section on the IEEE InfoVis conference 2004 in Vol. 11, Nr. 4 (July/August 2005) of the [http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/trans/tg/&toc=comp/trans/tg/2005/04/v4toc.xml IEEE Transactions on Visualization and Computer Graphics]. The special section contains three expanded versions of papers presented at InfoVis 2004: | ||
*'''Knowledge Precepts for Design and Evaluation of Information Visualizations'''<br>by Robert A. Amar and John T. Stasko<br>''Winner of the InfoVis 2004 Best Paper Award''<br>''Analyzes existing tools along a framework which shows that current visualization tools often fail because they concentrate mostly on presenting data, as opposed to supporting analysis.'' | *'''Knowledge Precepts for Design and Evaluation of Information Visualizations'''<br>by Robert A. Amar and [[Stasko, John T.|John T. Stasko]]<br>''Winner of the InfoVis 2004 Best Paper Award''<br>''Analyzes existing tools along a framework which shows that current visualization tools often fail because they concentrate mostly on presenting data, as opposed to supporting analysis.'' | ||
*'''An Insight-Based Methodology for Evaluating Bioinformatics Visualizations'''<br>by Purvi Saraiya, Chris North, and Karen Duca<br>''Presents a novel method for assessing and comparing the effectiveness of visualization tools, namely, the number and type of insights discovered.'' | *'''An Insight-Based Methodology for Evaluating Bioinformatics Visualizations'''<br>by Purvi Saraiya, [[North, Chris|Chris North]], and Karen Duca<br>''Presents a novel method for assessing and comparing the effectiveness of visualization tools, namely, the number and type of insights discovered.'' | ||
*'''Topological Fisheye Views for Visualizing Large Graphs''' <br>by Emden R. Gansner, Yehuda Koren, and Stephen North<br>''Describes a multiresolution technique for the effective and efficient visualization of graphs with thousands or even millions of nodes.'' | *'''Topological Fisheye Views for Visualizing Large Graphs''' <br>by Emden R. Gansner, Yehuda Koren, and [[North, Stephen|Stephen North]]<br>''Describes a multiresolution technique for the effective and efficient visualization of graphs with thousands or even millions of nodes.'' | ||
== References == | == References == | ||
Revision as of 10:24, 26 August 2005
Matthew O. Ward and Tamara Munzner edited a special section on the IEEE InfoVis conference 2004 in Vol. 11, Nr. 4 (July/August 2005) of the IEEE Transactions on Visualization and Computer Graphics. The special section contains three expanded versions of papers presented at InfoVis 2004:
- Knowledge Precepts for Design and Evaluation of Information Visualizations
by Robert A. Amar and John T. Stasko
Winner of the InfoVis 2004 Best Paper Award
Analyzes existing tools along a framework which shows that current visualization tools often fail because they concentrate mostly on presenting data, as opposed to supporting analysis. - An Insight-Based Methodology for Evaluating Bioinformatics Visualizations
by Purvi Saraiya, Chris North, and Karen Duca
Presents a novel method for assessing and comparing the effectiveness of visualization tools, namely, the number and type of insights discovered. - Topological Fisheye Views for Visualizing Large Graphs
by Emden R. Gansner, Yehuda Koren, and Stephen North
Describes a multiresolution technique for the effective and efficient visualization of graphs with thousands or even millions of nodes.
References
[Ward and Munzner, 2005] Matthew O. Ward and Tamara Munzner, Guest Editors’ Introduction: Special Section on InfoVis, IEEE Transactions on Visualization and Computer Graphics, 11(4):431, July/August 2005.