Visual abstraction and exploration of multi-class scatterplots

IEEE Transactions on Visualization and Computer Graphics

Volumn 20, Issue 12, 2014, Pages 1683-1692

  Chen, Haidong ^a   Chen, Wei ^a,b   Mei, Honghui ^a   Liu, Zhiqi ^a   Zhou, Kun ^a   Chen, Weifeng ^c   Gu, Wentao ^d   Ma, Kwan Liu ^e  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c ZHEJIANG UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^d ZHEJIANG GONGSHANG UNIVERSITY   (China)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

overdraw reduction; sampling; Scatterplot; visual abstraction

Indexed keywords

SCATTER PLOTS; VISUAL ABSTRACTION;

SAMPLING;

ADULT; ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER GRAPHICS; FEMALE; HUMAN; MALE; PROCEDURES; STATISTICAL MODEL; YOUNG ADULT;

ADULT; ALGORITHMS; COMPUTER GRAPHICS; FEMALE; HUMANS; MALE; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; YOUNG ADULT;

EID: 84910038336     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2014.2346594     Document Type: Article

References (48)

1. A. Asuncion and D. Newman. Uci machine learning repository, 2007.
2. S. Bachthaler and D. Weiskopf. Continuous scatterplots. IEEE Transactions on Visualization and Computer Graphics, 14(6):1428-1435, 2008.
3. S. Bachthaler and D. Weiskopf. Efficient and adaptive rendering of 2-d continuous scatterplots. In Computer Graphics Forum, volume 28, pages 743-750, 2009.
4. E. Bertini and G. Santucci. Give chance a chance: modeling density to enhance scatter plot quality through random data sampling. Information Visualization, 5(2):95-110, 2006.
5. T. Buering, J. Gerken, and H. Reiterer. User interaction with scatterplots on small screens-a comparative evaluation of geometric-semantic zoom and fisheye distortion. IEEE Transactions on Visualization and Computer Graphics, 12(5):829-836, 2006.
6. K. Burger, J. Kruger, and R. Westermann. Direct volume editing. IEEE Transactions on Visualization and Computer Graphics, 14(6):1388-1395, 2008.
7. D. B. Carr, R. J. Littlefield, W. Nicholson, and J. Littlefield. Scatterplot matrix techniques for large n. Journal of the American Statistical Association, 82(398):424-436, 1987.
8. Y.-H. Chan, C. Correa, and K.-L. Ma. Flow-based scatterplots for sensitivity analysis. In IEEE Symposium on Visual Analytics Science and Technology (VAST), pages 43-50. IEEE, 2010.
9. Y.-H. Chan, C. D. Correa, and K.-L. Ma. The generalized sensitivity scatterplot. IEEE Transactions on Visualization and Computer Graphics, 19(10):1768-1781, 2013.
10. J. Chen, X. Ge, L.-Y. Wei, B. Wang, Y. Wang, H. Wang, Y. Fei, K.-L. Qian, J.-H. Yong, W. Wang, et al. Bilateral blue noise sampling. In SIGGRAPH Asia 2013, 2013.
11. W. Chen, Z. Ding, S. Zhang, A. MacKay-Brandt, S. Correia, H. Qu, J. A. Crow, D. F. Tate, Z. Yan, and Q. Peng. A novel interface for interactive exploration of dti fibers. IEEE Transactions on Visualization and Computer Graphics, 15(6):1433-1440, 2009.
12. J. Choo, C. Lee, C. K. Reddy, and H. Park. Utopian: User-driven topic modeling based on interactive nonnegative matrix factorization. IEEE Transactions on Visualization and Computer Graphics, 19(12):1992-2001, 2013.
13. C. Collins, G. Penn, and S. Carpendale. Bubble sets: Revealing set relations with isocontours over existing visualizations. IEEE Transactions on Visualization and Computer Graphics, 15(6):1009-1016, 2009.
14. A. Coninx, G.-P. Bonneau, J. Droulez, and G. Thibault. Visualization of uncertain scalar data fields using color scales and perceptually adapted noise. In Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization, pages 59-66. ACM, 2011.
15. T. N. Dang, A. Anand, and L. Wilkinson. Timeseer: Scagnostics for high-dimensional time series. IEEE Transactions on Visualization and Computer Graphics, 19(3):470-483, 2013.
16. T. N. Dang, L. Wilkinson, and A. Anand. Stacking graphic elements to avoid over-plotting. IEEE Transactions on Visualization and Computer Graphics, 16(6):1044-1052, 2010.
17. N. Elmqvist, P. Dragicevic, and J.-D. Fekete. Rolling the dice: Multidimensional visual exploration using scatterplot matrix navigation. IEEE Transactions on Visualization and Computer Graphics, 14(6):1539-1148, 2008.
18. D. Feng, L. Kwock, Y. Lee, and R. M. Taylor. Matching visual saliency to confidence in plots of uncertain data. IEEE Transactions on Visualization and Computer Graphics, 16(6):980-989, 2010.
19. M. Gleicher, M. Correll, C. Nothelfer, and S. Franconeri. Perception of average value in multiclass scatterplots. IEEE Transactions on Visualization and Computer Graphics, 19(12):2316-2325, 2013.
20. N. Gossett and B. Chen. Paint inspired color mixing and compositing for visualization. In IEEE Symposium on Information Visualization, 2004. INFOVIS 2004, pages 113-118. IEEE, 2004.
21. H. Guo, N. Mao, and X. Yuan. Wysiwyg (what you see is what you get) volume visualization. IEEE Transactions on Visualization and Computer Graphics, 17(12):2106-2114, 2011.
22. H. Hagh-Shenas, S. Kim, V. Interrante, and C. Healey. Weaving versus blending: a quantitative assessment of the information carrying capacities of two alternative methods for conveying multivariate data with color. IEEE Transactions on Visualization and Computer Graphics, 13(6):1270-1277, 2007.
23. J. Huang, Z. Pan, G. Chen, W. Chen, and H. Bao. Image-space texture-based output-coherent surface flow visualization. IEEE Trans. Vis. Com-put. Graph., 19(9):1476-1487, 2013.
24. H. Janetzko, M. C. Hao, S. Mittelstadt, U. Dayal, and D. Keim. Enhancing scatter plots using ellipsoid pixel placement and shading. In 46th Hawaii International Conference on System Sciences (HICSS), pages 1522-1531. IEEE, 2013.
25. D. A. Keim, M. C. Hao, U. Dayal, H. Janetzko, and P. Bak. Generalized scatter plots. Information Visualization, 9(4):301-311, 2010.
26. D. A. Keim and A. Herrmann. The gridfit algorithm: An efficient and effective approach to visualizing large amounts of spatial data. In Proceedings of the Conference on Visualization '98, pages 181-188, Los Alami-tos, CA, USA, 1998. IEEE Computer Society Press.
27. R. Khlebnikov, B. Kainz, M. Steinberger, and D. Schmalstieg. Noise-based volume rendering for the visualization of multivariate volumetric data. IEEE Transactions on Visualization and Computer Graphics, 19(12):2926-2935, 2013.
28. R. Khlebnikov, B. Kainz, M. Steinberger, M. Streit, and D. Schmalstieg. Procedural texture synthesis for zoom-independent visualization of mul-tivariate data. 31(3pt4):1355-1364, 2012.
29. J. C. Lagarias, J. A. Reeds, M. H. Wright, and P. E. Wright. Convergence properties of the Nelder-Mead simplex method in low dimensions. SIAM J. on Optimization, 9(1):112-147, 1998.
30. J. Li, J.-B. Martens, and J. J. van Wijk. A model of symbol size discrimination in scatterplots. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 2553-2562. ACM, 2010.
31. J. Li, J. J. van Wijk, and J.-B. Martens. Evaluation of symbol contrast in scatterplots. In IEEE Pacific Visualization Symposium, 2009. PacificVis' 09, pages 97-104. IEEE, 2009.
32. M. Luboschik, A. Radloff, and H. Schumann. A new weaving technique for handling overlapping regions. In Proceedings of the International Conference on Advanced Visual Interfaces, pages 25-32. ACM, 2010.
33. A. Mayorga and M. Gleicher. Splatterplots: Overcoming overdraw in scatter plots. IEEE Transactions on Visualization and Computer Graphics, 19(9):1526-1538, 2013.
34. A. Radloff, M. Luboschik, M. Sips, and H. Schumann. Supporting display scalability by redundant mapping. In Advances in Visual Computing, pages 472-483. Springer, 2011.
35. W. Rankin. Cartography and the reality of boundaries. Perspecta, 42:42-45, 2010.
36. R. Scheepens, N. Willems, H. van de Wetering, G. Andrienko, N. An-drienko, and J. J. van Wijk. Composite density maps for multivariate trajectories. IEEE Transactions on Visualization and Computer Graphics, 17(12):2518-2527, 2011.
37. H.-W. Shen and D. L. Kao. A new line integral convolution algorithm for visualizing time-varying flow fields. IEEE Transactions on Visualization and Computer Graphics, 4(2):98-108, 1998.
38. B. Silverman. Density estimation for statistics and data analysis. Chapman & Hall/CRC, 1986.
39. E. R. Tufte. The visual display of Quantitative Information. Graphics Press, Cheshire, CT, 2nd edition, 2002.
40. J. J. Van Wijk. Spot noise texture synthesis for data visualization. In ACM SIGGRAPH Computer Graphics, volume 25, pages 309-318. ACM, 1991.
41. L.-Y. Wei. Multi-class blue noise sampling. ACM Trans. Graph, 29(4), 2010.
42. L. Wilkinson, A. Anand, and R. Grossman. High-dimensional visual analytics: Interactive exploration guided by pairwise views of point distributions. IEEE Transactions on Visualization and Computer Graphics, 12(6):1363-1372, 2006.
43. N. Willems, H. Van De Wetering, and J. J. Van Wijk. Visualization of vessel movements. Computer Graphics Forum, 28(3):959-966, 2009.
44. A. Woodruff, J. Landay, and M. Stonebraker. Constant density visualizations of non-uniform distributions of data. In Proceedings of the 11th annual ACM symposium on User interface software and technology, pages 19-28. ACM, 1998.
45. Y. Wu, X. Liu, S. Liu, and K.-L. Ma. Visizer: a visualization resizing framework. IEEE Transactions on Visualization and Computer Graphics, 19(2):278-290, 2013.
46. Y.-C. Wu, Y.-T. Tsai, W.-C. Lin, and W.-H. Li. Generating pointillism paintings based on seurat's color composition. In Computer Graphics Forum, volume 32, pages 153-162. Wiley Online Library, 2013.
47. X. Yuan, D. Ren, Z. Wang, and C. Guo. Dimension projection matrix/tree: Interactive subspace visual exploration and analysis of high dimensional data. IEEE Transactions on Visualization and Computer Graphics, 19(12):2625-2633, 2013.
48. M. Zinsmaier, U. Brandes, O. Deussen, and H. Strobelt. Interactive level-of-detail rendering of large graphs. IEEE Transactions on Visualization and Computer Graphics, 18(12):2486-2495, 2012.