Is it darker? Improving density representation in 2D scatter plots through a user study

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5669, Issue , 2005, Pages 158-167

  Bertini, Enrico ^a   Santucci, Giuseppe ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

Data sampling; Quality metrics; User studies; Visual clutter

Indexed keywords

CLUTTER (INFORMATION THEORY); DATA REDUCTION; IMAGE QUALITY; PROBLEM SOLVING; TWO DIMENSIONAL; VISUALIZATION;

DATA SAMPLING; QUALITY METRICS; USER STUDIES; VISUAL CLUTTER;

COMPUTER GRAPHICS;

EID: 21944437522     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.586930     Document Type: Conference Paper

References (12)

1. M. Trutschl, G. Grinstein, and U. Cvek, "Intelligently resolving point occlusion," in Proceedings of the IEEE Symposium on Information Vizualization 2003, p. 17, IEEE Computer Society, 2003.
2. G. Ellis and A. Dix, "Density control through random sampling: an architectural perspective," in Proceedings of Conference on Information Visualisation, pp. 82-90, July 2002.
3. E. Bertini and G.Santucci, "Quality metrics for 2d scatterplot graphics: automatically reducing visual clutter," in Proceedings of 4th International Symposium on SmartGraphics, May 2004.
4. N. Miller, B. Hetzler, G. Nakamura, and P. Whitney, "The need for metrics in visual information analysis," in Proceedings of the 1997 workshop on New paradigms in information visualization and manipulation, pp. 24-28, ACM Press, 1997.
5. E. R. Tufte, The visual display of quantitative information, Graphics Press, 1986.
6. B. Richard, "Concept demonstration: Metrics for effective information visualization," in Proceedings For IEEE Symposium On Information Visualization, pp. 108-111, IEEE Service Center, Phoenix, AZ, 1997.
7. G. G. Grinstein, P. E. Huffman, and R. M. Pickett, "Benchmark development for the evaluation of visualization for data mining," Information visualization in data mining and knowledge discovery, pp. 129-176, 2002.
8. H. Levkowitz and G. T. Herman, "Color scales for image data," IEEE Computer Graphics and Applications 12(1), pp. 72-80, 1992.
9. L. D. Bergman, B. E. Rogowitz, and L. A. Treinish, "A rule-based tool for assisting colormap selection," in Proceedings of the 6th conference on Visualization '95, p. 118, IEEE Computer Society, 1995.
10. C. G. Healey and J. T. Enns, "Large datasets at a glance: Combining textures and colors in scientific visualization," IEEE Transactions on Visualization and Computer Graphics 5(2), pp. 145-167, 1999.
11. R. Kosara, S. Miksch, H. Hauser, J. Schrammel, V. Giller, and M. Tscheligi, "Useful properties of semantic depth of field for better f+c visualization," in Proceedings of the symposium on Data Visualisation 2002, pp. 205-210, Eurographics Association, 2002.
12. C. Ware, Information visualization: perception for design, Morgan Kaufmann Publishers Inc., 2000.