This Article 
 Bibliographic References 
 Add to: 
Visualizing Diversity and Depth over a Set of Objects
September/October 2007 (vol. 27 no. 5)
pp. 35-45
Jason Pearlman, University of Maryland, Baltimore County
Penny Rheingans, University of Maryland, Baltimore County
Marie des Jardins, University of Maryland, Baltimore County
When visualizing a set of objects, it can be useful to visualize both the set as a whole and the individual attributes of each member of the set. A user may be interested in whether the set includes objects with specific attribute values, but also care about the distribution of attribute values within the set. The authors use the term depth to refer to the prevalence of particular desired values in the set, and diversity to refer to the distribution of these values across a range. Their approach for visualizing a set of objects uses glyphs overlaid on a composite representation of the entire set to convey objects' depth and the set's diversity. They test and apply this technique to three application domains: analyzing student applicant pools of a particular school or department, building an effective fantasy football team, and analyzing traffic activity on a network.

1. C. Ware, Information Visualization: Perception for Design, Morgan Kaufmann, 2000.
2. R. Van Lier and W. De Leeuw, "Graphsplatting: Visualizing Graphs as Continuous Fields," IEEE Trans. Visualization and Computer Graphics, vol. 9, no. 2, pp. 206–212.
3. J. Yang et al., "Value and Relation Display for Interactive Exploration of High-Dimensional Datasets," Proc. IEEE Symp. Information Visualization, IEEE CS Press, 2004, pp. 73–80.
4. H. Siirtola, "The Effect of Data-Relatedness in Interactive Glyphs," Proc. 9th Int'l Conf. Information Visualization, IEEE CS Press, 2005, pp. 869–876.
1. C. Healey and J. Enns, "Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization," IEEE Trans. Visualization and Computer Graphics, vol. 5, no. 2, 1999, pp. 145–167.
2. D. Ebert et al., "Procedural Shape Generation for Multidimensional Data Visualization," Proc. Data Visualization 1999, Springer-Verlag, 1999, pp. 1–2.
3. C. Shaw et al., "Using Shape to Visualize Multivariate Data," Proc. Conf. Information and Knowledge Management, 1999 Workshop on New Paradigms in Information Visualization and Manipulation, ACM Press, 1999.
4. J. Bertin, Semiology of Graphics, Univ. of Wisconsin Press, 1983.
5. Y. Fua, M. Ward, and I. Rundensteiner, "Hierarchical Parallel Coordinates for Exploration of Large Datasets," Proc. IEEE Visualization, IEEE CS Press, 1999, pp. 43–50.
6. D.A. Keim and H.-P. Kriegel, "VisDB: Database Exploration Using Multidimensional Visualization," IEEE Computer Graphics and Applications, vol. 14, no. 5, 1994, pp. 40–49.
7. E. Kandogan, "Visualizing Multi-Dimensional Clusters, Trends, and Outliers Using Star Coordinates," Proc. 7th ACM SIGKDD Int'l Conf. Knowledge Discovery and Data Mining, ACM Press, 2001, pp. 107–116.

Index Terms:
visualization, glyph visualization, multivariate visualization, multidimensional visualization, barycentric coordinates, background overlay
Jason Pearlman, Penny Rheingans, Marie des Jardins, "Visualizing Diversity and Depth over a Set of Objects," IEEE Computer Graphics and Applications, vol. 27, no. 5, pp. 35-45, Sept.-Oct. 2007, doi:10.1109/MCG.2007.139
Usage of this product signifies your acceptance of the Terms of Use.