Part of the book series:Lecture Notes in Computer Science ((LNAI,volume 7352))
Included in the following conference series:
1498Accesses
3Citations
Abstract
Indented Pixel Tree Plots are useful for an overview of large and deep hierarchical data. As a major benefit, these plots scale to pixel or even subpixel resolution, still clearly visualizing the hierarchical structures and substructures in a redundant-free representation. Consequently, there is display space available that may be used to show additional information such as enlarged or filtered subregions, details-on-demand, or control panels. In this paper, we demonstrate how this compact indented diagram can be enriched with additional data associated with both leaf and inner nodes of the hierarchy. To this end, we support quantitative, categorical, relational, and time-series data. By such a combination, exploration and analysis of visual patterns and anomalies on different levels of hierarchical granularity are possible in a static diagram. Furthermore, interactive features such as expanding/collapsing of subhierarchies, horizontal/vertical distortions, zooming in/out, or details-on-demand are integrated to allow the user to inspect the data from different viewpoints. The usefulness of the enriched diagrams is illustrated by applying them to file system data where single software constructs are hierarchically organized. Here, we focus on quantitative, categorical, and relational data attached to the nodes of the hierarchy. In a second case study, we demonstrate how evolving water level data of rivers in Germany can be represented by our plots.
This is a preview of subscription content,log in via an institution to check access.
Access this chapter
Subscribe and save
- Get 10 units per month
- Download Article/Chapter or eBook
- 1 Unit = 1 Article or 1 Chapter
- Cancel anytime
Buy Now
- Chapter
- JPY 3498
- Price includes VAT (Japan)
- eBook
- JPY 5719
- Price includes VAT (Japan)
- Softcover Book
- JPY 7149
- Price includes VAT (Japan)
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Andrews, K., Heidegger, H.: Information Slices: Visualising and Exploring Large Hierarchies Using Cascading, Semi-Circular Discs. In: Proceedings of the IEEE Symposium on Information Visualization, pp. 9–12 (1998)
Burch, M., Beck, F., Diehl, S.: Timeline Trees: Visualizing Sequences of Transactions in Information Hierarchies. In: Proceedings of Advanced Visual Interfaces, pp. 75–82 (2008)
Burch, M., Vehlow, C., Beck, F., Diehl, S., Weiskopf, D.: Parallel Edge Splatting for Scalable Dynamic Graph Visualization. IEEE Transactions on Visualization and Computer Graphics 17(12), 2344–2353 (2011)
Burch, M., Heinrich, J., Konevtsova, N., Höferlin, M., Weiskopf, D.: Evaluation of Traditional, Orthogonal, and Radial Tree Diagrams by an Eye Tracking Study. IEEE Transactions on Visualization and Computer Graphics 17(12), 2440–2448 (2011)
Burch, M., Raschke, M., Weiskopf, D.: Indented Pixel Tree Plots. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Chung, R., Hammoud, R., Hussain, M., Kar-Han, T., Crawfis, R., Thalmann, D., Kao, D., Avila, L. (eds.) ISVC 2010. LNCS, vol. 6453, pp. 338–349. Springer, Heidelberg (2010)
Burch, M., Schmauder, H., Weiskopf, D.: Indented Pixel Tree Browser for Exploring Huge Hierarchies. In: Proceedings of the International Symposium on Visual Computing, pp. 301–312 (2011)
Burch, M., Weiskopf, D.: Visualizing Dynamic Quantitative Data in Hierarchies. In: Proceedings of International Conference on Information Visualization Theory and Applications, pp. 177–186 (2011)
Burch, M., Diehl, S.: Trees in a Treemap: Visualizing Multiple Hierarchies. In: Proceedings of Visualization and Data Analysis, pp. 224–235 (2006)
Card, S.K., Mackinlay, J.: The Structure of the Information Visualization Design Space. In: Proceedings of the IEEE Symposium on Information Visualization, pp. 92–99 (1997)
Cleveland, W.S., McGill, R.: Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods. Journal of the American Statistical Association 79(387), 531–554 (1984)
Eades, P.: Drawing Free Trees. Bulletin of the Institute for Combinatorics and its Applications 5, 10–36 (1992)
Eisen, M., Spellman, P., Brown, P., Botstein, D.: Cluster Analysis and Display of Genome-Wide Expression Patterns. Proceedings of the National Academy of Sciences 95, 14863–14868 (1998)
Fekete, J.-D., Wang, D., Dang, N., Aris, A., Plaisant, C.: Overlaying Graph Links on Treemaps. In: Proceedings of the IEEE Symposium on Information Visualization, Poster Compendium, pp. 82–83 (2003)
Kruskal, J., Landwehr, J.: Icicle Plots: Better Displays for Hierarchical Clustering. The American Statistician 37(2), 162–168 (1983)
Jin, L., Banks, D.C.: TennisViewer: A Browser for Competition Trees. IEEE Computer Graphics and Applications 17(4), 63–65 (1997)
McGuffin, M.J., Robert, J.M.: Quantifying the Space-Efficiency of 2D Graphical Representations of Trees. Information Visualization 9(2), 115–140 (2009)
Neumann, P., Schlechtweg, S., Carpendale, S.: ArcTrees: Visualizing Relations in Hierarchical Data. In: Proceedings of Eurographics IEEE VGTC Symposium on Visualization, pp. 53–60 (2005)
Reingold, E.M., Tilford, J.S.: Tidier Drawings of Trees. IEEE Transactions on Software Engineering 7, 223–228 (1981)
Jürgensmann, S., Schulz, H.-J.: A Visual Survey of Tree Visualization. In: Proceedings of the IEEE Conference on Information Visualization, Poster Compendium (2010)
Schulz, H.-J.: Treevis.net: A Tree Visualization Reference. IEEE Computer Graphics and Applications 31(6), 11–15 (2011)
Shneiderman, B.: Tree Visualization with Tree-Maps: 2-D Space-Filling Approach. ACM Transactions on Graphics 11(1), 92–99 (1992)
Shneiderman, B.: The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. In: Proceedings of the IEEE Symposium on Visual Languages, pp. 336–343 (1996)
Stasko, J.T., Zhang, E.: Focus+Context Display and Navigation Techniques for Enhancing Radial, Space-Filling Hierarchy Visualizations. In: Proceedings of the IEEE Symposium on Information Visualization, pp. 57–65 (2000)
Tu, Y., Shen, H.-W.: Visualizing Changes of Hierarchical Data Using Treemaps. IEEE Transactions on Visualization and Computer Graphics 13(6), 1286–1293 (2007)
Tversky, B., Bauer Morrison, J., Bétrancourt, M.: Animation: Can it Facilitate? International Journal of Human-Computer Studies 57(4), 247–262 (2002)
Yang, J., Ward, M.O., Rundensteiner, E.A., Patro, A.: InterRing: A Visual Interface for Navigating and Manipulating Hierarchies. Information Visualization 2(1), 16–30 (2003)
Author information
Authors and Affiliations
VISUS, University of Stuttgart, Germany
Michael Burch, Michael Raschke, Miriam Greis & Daniel Weiskopf
- Michael Burch
Search author on:PubMed Google Scholar
- Michael Raschke
Search author on:PubMed Google Scholar
- Miriam Greis
Search author on:PubMed Google Scholar
- Daniel Weiskopf
Search author on:PubMed Google Scholar
Editor information
Editors and Affiliations
Faculty of Computer Science, Dalhousie University, 6050 University Avenue, B3H 1W4, Halifax, NS, Canada
Philip Cox
Department of Computer Science, University of Auckland, Private bag 92019, Auckland, New Zealand
Beryl Plimmer
School of Computing, Unviersity of Kent, CT2 7NF, Canterbury, UK
Peter Rodgers
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Burch, M., Raschke, M., Greis, M., Weiskopf, D. (2012). Enriching Indented Pixel Tree Plots with Node-Oriented Quantitative, Categorical, Relational, and Time-Series Data. In: Cox, P., Plimmer, B., Rodgers, P. (eds) Diagrammatic Representation and Inference. Diagrams 2012. Lecture Notes in Computer Science(), vol 7352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31223-6_14
Download citation
Publisher Name:Springer, Berlin, Heidelberg
Print ISBN:978-3-642-31222-9
Online ISBN:978-3-642-31223-6
eBook Packages:Computer ScienceComputer Science (R0)
Share this paper
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative