Visualization of Event Data by Arranging Glyphs
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1 1,a) 1,b) ChronoView Visualization of Event Data by Arranging Glyphs Yasuhiro Anzai 1,a) Kazuo Misue 1,b) Abstract: Representing the periodicity and similarity of occurrence time of events is useful for various purposes such as behavior analysis of people. We developed a visualization technique to represent event data space-efficiently. We represent events by glyph-based visualization. In addition, we find glyph-arrangement techniques which simultaneously represent the temporal features and similarity of events. In this paper, we describe a glyph-arrangement technique that combines ChronoView and multidimensional scaling. 1. X A A X X A Y A A A 1 University of Tsukuba a) anzai@vislab.cs.tsukuba.ac.jp b) misue@cs.tsukuba.ac.jp Strip chart Bar chart Spiral chart () Small Multiples Small Multiples 1054
2 R1 R2 MDS [1] MDS ChronoView [2] ChronoView MDS ChronoView Strip chart, Line chart, Bar chart [3] ThemeRiver [4] [5][6] [7] Nguyen [8] 2 2 [9][10], [7] Infuse [11] ClockMap [12] 3. Small Multiples R1 R2 1055
3 4. ChronoView 1 ChronoView ChronoView ChronoView 1 24 n n 1 24 MDS MDS R2 MDS MDS 2 MDS R ChronoView ChronoView R1 ChronoView ChronoView R2. R1 ChronoView R2 MDS ChronoView MDS 2 ChronoView-Layout MDS-Layout Fusion-Layout ChronoView MDS ChronoView MDS MDS MDS
4 [13] [14] StarGlyph ClockGlyph [15] 2 ChronoView 6.2 MDS v i R 24 ; i = 1,..., m p i R 2 m 1 24 MDS MDS-Layout MDS-Layout MDS-Layout Procrustes Procrustes 2 2 Procrustes 2 MDS-Layout Rotated-Layout Procrustes MDS-Layout ChronoView 6.3 Rotated-Layout L L 6.4 Fusion-Layout ChronoView-Layout ChronoView-Layout Fusion-Layout ChronoView (1 p i R 2 Rotated- Layout g i R 2 ChronoView c c p i g i f c = c c g i p i (1) Eades [16] (2) f g (3) f r c g c r d d 0 d 0 Rotated-Layout f g = c g log d d 0 (2) f r = c r 1 d 2 (3) f g d > d 0 d 0 ChronoView-Layout 6.5 Fusion-Layout ChronoView-Layout MDS-Layout ChronoView ChronoView ChronoView 3 ChronoView-Layout Fusion-Layout 7. Fusion-Layout 1057
5 0 1 4 Fusion-Layout 4(c)) (1)ChronoView-Layout. (2)Fusion- Layout. (3) ChronoView (4) 4(a) (b) (c) ChronoView-Layout MDS-Layout Fusion-Layout 4(a) ChronoView (a) (a) (c) MDS-Layout( 4(b)) 4(c) 4(a) Fusion-Layout 4(c)) ChronoView MDS 2 1. ChronoView MDS 2 JSPS JP17K00264 [1] J. B. Kruskal and M. Wish. Multidimensional Scaling. Sage, London, [2] S. Shiroi, K. Misue, and J. Tanaka. Chronoview: Visualization technique for many temporal data. in Proceedings of 16th International Conference on Information Visualisation, pp , [3] W. Javed, B. McDonnel, and N. Elmqvist. Graphical perception of multiple time series. IEEE Transactions on Visualization and Computer Graphics, Vol. 16, No. 6, pp , [4] S. Havre, B. Hetzler, and L. Nowell. Themeriver: Visualizing theme changes over time. in Proceedings of IEEE Symposium on Information Visualization, pp , [5] John V. Carlis and Joseph A. Konstan. Interactive visualization of serial periodic data. in Proceedings of the 11th annual ACM symposium on User interface software and technology, pp , [6] M. Weber, M. Alexa, and W. Müller. Visualizing timeseries on spirals. in Proceedings of the IEEE Symposium 1058
6 4 (a) ChronoView-Layout: (b) MDS-Layout (C) Fusion-Layout ChronoView-Layout on Information Visualization, pp. 7 14, [7] M. Ward. A taxonomy of glyph placement strategies for multidimensional data visualization. Information Visualization, Vol. 1, No. 3 4, pp , [8] D. Q. Nguyen, C. Tominski, H. Schumann, and T. A. Ta. Visualizing tags with spatiotemporal references. in Proceedings of the International Conference on Information Visualisation, pp , [9] M. Keck, D. Kammer, T. Gründer, T. Thom, M. Kleinsteuer, A. Maasch, and R. Groh. Towards glyph-based visualizations for big data clustering. in Proceedings of the 10th International Symposium on Visual Information Communication and Interaction, pp , [10] W. Cui, Y. Wu, S. Liu, F. Wei, M. X. Zhou, and H. Qu. Context preserving dynamicword cloud visualization. in Proceedings of the IEEE Pacific Visualization Symposium (PacificVis), pp , [11] J. Krause, A. Parer, and E. Bertini. Infuse: Interactive feature selection for predictive modeling of high dimensional data. IEEE Transactions on Visualization and Computer Graphics, Vol. 20, No. 12, pp , [12] F. Fischer, J. Fuchs, and F. Mansmann. Clockmap: Enhancing circular treemaps with temporal glyphs for timeseries data. in Proceedings of EuroVis Short Papers, Eurographics, pp , [13] M. O. Ward. Multivariate data glyphs: Principles and practice. In Handbook of Data Visualization, pp , Berlin Heidelberg, Springer. [14] J. Fuchs, P. Isenberg, A. Bezerianos, and D. Keim. A systematic review of experimental studies on data glyphs. IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, Vol. 23, No. 7, pp , [15] J. Fuchs, F. Fischer, F. Mansmann, E. Bertini, and P. Isenberg. Evaluation of alternative glyph designs for time series data in a small multiple setting. in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, pp , [16] P. Eades. A heuristic for graph drawing. Congressus Numerantium, Vol. 42, pp ,
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