Enhancing scatter plots using ellipsoid pixel placement and shading

Proceedings of the Annual Hawaii International Conference on System Sciences

Volumn , Issue , 2013, Pages 1522-1531

  Janetzko, Halldór ^a   Hao, Ming C ^b   Mittelstädt, Sebastian ^a   Dayal, Umeshwar ^b   Keim, Daniel ^a  

^a UNIVERSITY OF KONSTANZ   (Germany)

^b HEWLETT PACKARD LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS VARIABLES; LOCAL CORRELATIONS; LOCAL PATTERNS; LOCAL STRUCTURE; POINT CLUSTERS; SCATTER PLOTS; SHADING ALGORITHMS;

ALGORITHMS; ASPECT RATIO;

SYSTEMS SCIENCE;

EID: 84875494760     PISSN: 15301605     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HICSS.2013.197     Document Type: Conference Paper

References (26)

1. Keim, D. A., Hao, M. C. Dayal, U., Janetzko, H., and Bak, P., Generalized Scatter Plots. Information Visualization Journal (IVS), 2009.
2. Bowman, A. W. and Azzalini, A. (1997). Applied Smoothing Techniques for Data Analysis: the Kernel Approach With S-Plus Illustrations. Oxford University Press, Oxford, USA, 1997.
3. Bowman, A. W. and Azzalini, A. (2003). Computational aspects of nonparametric smoothing with illustrations. Computational Statistics and Data Analysis, 42(4): 545-560, 2003.
4. Carr, D. B., Littlefield, R. J., Nicholson, W. L., and Kuttkefuekdm, J. S. Scatterplot Matrix Techniques for Large N, "Journal of American Statistics Association", 82, 424-436. 1987.
5. Cleveland W. S. The Many Faces of a Scatterplot. Robert McGill Journal of the American Statistical Association, Vol. 79, No. 388 (Dec. 1984), pp. 807-822.
6. Unwin A., Theus, M., and Hofmann, H., Graphics of Large Datasets: Visualizing a Million Series, Statistics and Computing 2006, XIV, Springer, New York / US.
7. Robertson, G., Fernandez, R., Fisher, D., Lee, B., and Stasko, J., Effectiveness of Animation in Trend Visualization. IEEE Transaction on Visualization and Computer Graphics, Vol. 12, No. 5, September/October 2008.
8. Wilkirnson, L. The grammar of graphics, New York, Springer, 1999., Ohio, USA.
9. JMP 8 Software. www.jmp.com/software, New 64-bit computers and visual analytics tools.
10. Büring, T., Gerken, J. and Reiterer, H. User Interaction with Scatterplots on Small Screens. IEEE Transaction on Visualization and Computer Graphics, Vol. 12, No. 5, September/October 2006.
11. Keim, D. A., North, S. C., Panse, C., and Schneidewind, J. Efficient Cartogram Generation: A Comparison. Information Visualization, pp. 33-36, MA, October, 2002.
12. HexBin Scatter Plots released by R System in January, 2009, https://stat.ethz.ch/pipermail/r-help/2009. Documented http://rss.acs.unt.edu/ Rdoc/library/hexbin/doc/hexagon-binning.pdf.
13. Bachthaler S. and Weiskopf D. Continuous Scatterplots, IEEE Transactions on Visualization and Computer Graphics, Vol. 14, No. 6, November/December 2008.
14. Chan, Y., Correa, C., and Ma, K. Flow-based Scatterplots for Sensitivity Analysis. IEEE Symposium on Visual Analytics Science and Technology. October, 2010. Salt Lake City, Utah, USA.
15. Zingl, A. The Beauty of Bresenham's Algorithm, Vienna, Austria, 2011, http://free.pages.at/easyfilter/bresenham.pdf
16. Parzen, E. On Estimation of a Probability Density Function and Mode, Annals of Mathematical Statistics, Vol. 33, No. 3, pp. 1065-1076, 1962.
17. Phong, B. T. Illumination for computer generated pictures, Communications of the ACM, Vol. 18, No. 6, 1975.
18. Blinn, J. F. Simulation of wrinkled surfaces, ACM SIGGRAPH Computer Graphics, Vol. 12, No. 3, pp. 286-292, 1978.
19. Ankerst, M. and Breunig, M.M. and Kriegel, H.P. and Sander, J. OPTICS: Ordering points to identify the clustering structure. ACM SIGMOD Record, Vol. 2, pp. 49-60, 1999.
20. Van Wijk, J.J., and Van de Wetering, H. Cushion treemaps: visualization of hierarchical information, IEEE Symposium on Information Visualization, pp. 73-78, 1999.
21. Willems, N., H. van de Wetering, J.J. van Wijk Visualization of Vessel Movements. Proceedings EuroVis, Vol. 28, No. 3, pp. 959-966, 2009.
22. Bertini, E. and Santucci, G.. Give chance a chance: modeling density to enhance scatter plot quality through random data sampling. IEEE Symposium on Information Visualization, 5(2):95-110, 2006.
23. Jerding, D. F. and Stasko, J. T. The information mural: a technique for displaying and navigating large information spaces. IEEE Transactions on Visualization and Computer Graphics, Vol. 4, No. 3, pp. 257-271, 1998.
24. Trutschl, M., Grinstein, G., and Cvek, U. Intelligently Resolving Point Occlusion, IEEE Symposium on Information Visualization, pp. 131-136, 2003.
25. Aris, A. and Shneiderman, B. Designing semantic substrates for visual network exploration, Information Visualization Journal, Vol. 6, No. 4, pp. 281-300, 2007.
26. Maciejewski, R., Rudolph, S., Hafen, R., Abusalah, A., Yakout, M., Ouzzani, M., Cleveland, W.S., Grannis, S.J., Ebert, D.S.. A Visual Analytics Approach to Understanding Spatiotemporal Hotspots. IEEE Transactions on Visualization and Computer Graphics, 16(2): 205-220, March/April 2010.