Leaf Glyph - Visualizing Multi-dimensional Data with Environmental Cues

Johannes Fuchs, Dominik Jäckle, Niklas Weiler, Tobias Schreck

Abstract

In exploratory data analysis, important analysis tasks include the assessment of similarity of data points, labeling of outliers, identifying and relating groups in data, and more generally, the detection of patterns. Specifically, for large data sets, such tasks may be effectively addressed by glyph-based visualizations. Appropriately defined glyph designs and layouts may represent collections of data to address these aforementioned tasks. Important problems in glyph visualization include the design of compact glyph representations, and a similarity or structure-preserving 2D layout. Projection-based techniques are commonly used to generate layouts, but often suffer from over-plotting in 2D display space, which may hinder comparing and relating tasks. We introduce a novel glyph design for visualizing multi-dimensional data based on an environmental metaphor. Motivated by the humans ability to visually discriminate natural shapes like trees in a forest, single flowers in a flower-bed, or leaves at shrubs, we design a leaf-shaped data glyph, where data controls main leaf properties including leaf morphology, leaf venation, and leaf boundary shape. We also define a custom visual aggregation scheme to scale the glyph for large numbers of data records. We show by example that our design is effectively interpretable to solve multivariate data analysis tasks, and provides effective data mapping. The design also provides an aesthetically pleasing appearance, which may help spark interest in data visualization by larger audiences, making it applicable e.g., in mass media.

References

  1. Beck, C. B. (2010). An introduction to plant structure and development: plant anatomy for the twenty-first century. Cambridge University Press.
  2. Borgo, R., Kehrer, J., Chung, D. H., Maguire, E., Laramee, R. S., Hauser, H., Ward, M., and Chen, M. (2012). Glyph-based Visualization: Foundations, Design Guidelines, Techniques and Applications. In Proceedings of Eurographics, pages 39-63. Eurographics.
  3. Chernoff, H. (1973). The use of faces to represent points in k-dimensional space graphically. Journal of the American Statistical Association, pages 361-368.
  4. Chuah, M. C. and Eick, S. G. (1998). Information rich glyphs for software management data. Computer Graphics and Applications, IEEE, 18(4):24-29.
  5. Cleveland, W. and McGill, R. (1984). Graphical perception: Theory, experimentation, and application to the development of graphical methods. Journal of the American Statistical Association, pages 531-554.
  6. Cortez, P. and Morais, A. d. J. R. (2007). A data mining approach to predict forest fires using meteorological data.
  7. Deussen, O. and Lintermann, B. (2005). Digital design of nature. Springer.
  8. Du Toit, S. H., Steyn, A. G. W., and Stumpf, R. H. (1986). Graphical Exploratory Data Analysis. SpringerVerlag, New York.
  9. Fuchs, J., Fischer, F., Mansmann, F., Bertini, E., and Isenberg, P. (2013). Evaluation of Alternative Glyph Designs for Time Series Data in a Small Multiple Setting. In Proceedings Human Factors in Computing Systems (CHI), pages 3237-3246. ACM.
  10. Han, J., Kamber, M., and Pei, J. (2011). Data Mining: Concepts and Techniques. Elsevier Ltd, Oxford, 3rd edition.
  11. Kintzel, C., Fuchs, J., and Mansmann, F. (2011). Monitoring Large IP Spaces with Clockview. In Proceedings Symposium on Visualization for Cyber Security, page 2. ACM.
  12. Klassen, R. V. and Harrington, S. J. (1991). Shadowed hedgehogs: A technique for visualizing 2d slices of 3d vector fields. In Proceedings of the 2nd conference on Visualization'91, pages 148-153. IEEE Computer Society Press.
  13. Kleiberg, E., van de Wetering, H., and van Wijk, J. (2001). Botanical visualization of huge hierarchies. In Information Visualization, 2001. INFOVIS 2001. IEEE Symposium on, pages 87-94. IEEE.
  14. Levkowitz, H. and Herman, G. (1992). Color scales for image data. Computer Graphics and Applications, IEEE, 12(1):72-80.
  15. Müller, B. (2014). Poetry on the road. http://www.esono.com/boris/projects/poetry05/. Retrieved July 2014.
  16. Palmer, S. E. (1999). Vision science: Photons to phenomenology, volume 1. MIT press Cambridge, MA.
  17. Pickett, R. M. and Grinstein, G. G. (1988). Iconographic Displays for Visualizing Multidimensional Data. In Proceedings of the Conference on Systems, Man, and Cybernetics, volume 514, page 519. IEEE.
  18. Porter, T. and Duff, T. (1984). Compositing digital images. In Proceedings of the 11th Annual Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 7884, pages 253-259, New York, NY, USA. ACM.
  19. Sallaberry, A., Fu, Y.-C., Ho, H.-C., and Ma, K.-L. (2012). Contacttrees: Ego-centered visualization of social relations. Technical report.
  20. Siegel, J., Farrell, E., Goldwyn, R., and Friedman, H. (1972). The Surgical Implications of Physiologic Patterns in Myocardial Infarction Shock. Surgery, 72(1):126.
  21. Stefaner, M. (2014a). The deleted. http://notabilia.net/. Retrieved July 2014.
  22. Stefaner, M. (2014b). Oecd better life index. http://moritz.stefaner.eu/projects/oecd-better-lifeindex/. Retrieved July 2014.
  23. Ward, M. (2008). Multivariate Data Glyphs: Principles and Practice. Handbook of Data Visualization, pages 179- 198.
  24. Ware, C. (2012). Information Visualization: Perception for Design. Morgan Kaufmann, Waltham.
Download


Paper Citation


in Harvard Style

Fuchs J., Jäckle D., Weiler N. and Schreck T. (2015). Leaf Glyph - Visualizing Multi-dimensional Data with Environmental Cues . In Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015) ISBN 978-989-758-088-8, pages 195-206. DOI: 10.5220/0005292801950206


in Bibtex Style

@conference{ivapp15,
author={Johannes Fuchs and Dominik Jäckle and Niklas Weiler and Tobias Schreck},
title={Leaf Glyph - Visualizing Multi-dimensional Data with Environmental Cues},
booktitle={Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015)},
year={2015},
pages={195-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005292801950206},
isbn={978-989-758-088-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2015)
TI - Leaf Glyph - Visualizing Multi-dimensional Data with Environmental Cues
SN - 978-989-758-088-8
AU - Fuchs J.
AU - Jäckle D.
AU - Weiler N.
AU - Schreck T.
PY - 2015
SP - 195
EP - 206
DO - 10.5220/0005292801950206