Proximity-based visualization of movement trace data

VAST 09 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings

Volumn , Issue , 2009, Pages 11-18

  Crnovrsanin, Tarik ^a   Muelder, Chris ^a   Correa, Carlos ^a   Ma, Kwan Liu ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Linked views; Movement patterns; Principal component analysis; Proximity; Spatio temporal visualization; Temporal trajectories

Indexed keywords

LINKED VIEWS; MOVEMENT PATTERN; MOVEMENT PATTERNS; PROXIMITY; SPATIO-TEMPORAL; SPATIO-TEMPORAL VISUALIZATION;

ABSTRACTING; DATA VISUALIZATION; GRAPHICAL USER INTERFACES; SIZE DISTRIBUTION; TOPOLOGY; VIDEO CAMERAS; VISUALIZATION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 72849115846     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VAST.2009.5332593     Document Type: Conference Paper

References (33)

1. G. Andrienko, N. Andrienko, and S. Wrobel. Visual analytics tools for analysis of movement data. SIGKDD Explor. Newsl., 9(2):38-46, 2007.
2. M. Ankerst, D. A. Keim, and H.-P. Kriegel. Circle segments: A technique for visually exploring large multidimensional data sets. 1996.
3. P. Berkhin. Survey of clustering data mining techniques. Technical report, Accrue Software, San Jose, CA, 2002.
4. D. Bouvier and B. Oates. Evacuation traces mini challenge award: Innovative trace visualization staining for information discovery. In Visual Analytics Science and Technology, 2008. VAST '08. IEEE Symposium on, pages 219-220, Oct. 2008.
5. D. B. Carr, R. J. Littlefield, and W. L. Nichloson. Scatterplot matrix techniques for large N. In Proceedings of the Seventeenth Symposium on the interface of computer sciences and statistics on Computer science and statistics, pages 297-306, 1986.
6. J. Carroll and P. Arabie. Multidimensional scaling. Annual Review of Psychology, 31:607-649, 1980.
7. S. Dodge, R. Weibel, and A.-K. Lautenschütz. Towards a taxonomy of movement patterns. Information Visualization, (7):240-252, 2008.
8. J. Dykes and C. Brunsdon. Geographically Weighted Visualization: Interactive Graphics for Scale-Varying Exploratory Analysis. IEEE Trans. on Visualization and Computer Graphics, 13(6):1161-1168, 2007.
9. M. S. Floater. Mean value coordinates. Comput. Aided Geom. Des., 20(1):19-27, 2003.
10. D. Guo, J. Chen, A. M. MacEachren, and K. Liao. A visualization system for space-time and multivariate patterns (VIS-STAMP). IEEE Trans. on Visualization and Computer Graphics, 12(6):1461-1474, 2006.
11. M. Harrower. A look at the history and future of animated maps. Cartographica, 39(3):33-42, 2004.
12. S. Havre, E. Hetzler, P. Whitney, and L. Nowell. ThemeRiver: Visualizing thematic changes in large document collections. IEEE Trans. on Visualization and Computer Graphics, 8(1):9-20, 2002.
13. http://www.cs.umd.edu/hcil/VASTchallenge08/. IEEE VAST 2008 challenge, 2008.
14. A. Inselberg and B. Dimsdale. Parallel coordinates: a tool for visualizing multi-dimensional geometry. In Proc. IEEE Visualization '90, pages 361-378, 1990.
15. Y. Ivanov, C. Wren, A. Sorokin, and I. Kaur. Visualizing the history of living spaces. IEEE Trans. on Visualization and Computer Graphics, 13(6):1153-1160, 2007.
16. E. Kandogan. Visualizing multi-dimensional clusters, trends, and outliers using star coordinates. In KDD '01: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, pages 107-116. ACM, 2001.
17. T. Kapler and W. Wright. Geo time information visualization. Information Visualization, 4(2):136-146, 2005.
18. T. Kohonen. The self-organizing map. Proceedings of the IEEE, 78(9):1464-1480, Sep 1990.
19. M. J. Kraak. The space-time cube revisited from a geovisualization perspective. Proc. of the 21st International Cartographic Conference, 1988.
20. P. Laube and S. Imfeld. Analyzing relative motion within groups of trackable moving point objects. In GIScience '02: Proceedings of the Second International Conference on Geographic Information Science, pages 132-144, 2002.
21. A. M. MacEachren. How Maps Work: Representation, Visualization, and Design. The Guilford Press, 2nd ed. edition, 2004.
22. H. Moellering. The potential uses of a computer animated film in the analysis of geographical patterns of traffic crashes. Accident Analysis and Prevention, 8(4):215-277, 1976.
23. D. J. Peuquet. Making space for time: Issues in space-time data representation. Geoinformatica, 5(1):11-32, 2001.
24. C. Plaisant, B. Milash, A. Rose, S.Widoff, and B. Shneiderman. Lifelines: visualizing personal histories. In CHI '96: Proc. of the SIGCHI conference on Human factors in computing systems, pages 221-228. ACM, 1996.
25. M. M. Rowland, P. K. Coe, R. J. Stussy, A. A. Ager, N. J. Cimon, B. K. Johnson, and M. J. Wisdom. The starkey habitat database for ungulate research: construction, documentation, and use. Technical report, Gen. Tech. Rep. PNW-GTR-430. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 1998.
26. C. Tominski, J. Abello, and H. Schumann. Axes-based visualizations with radial layouts. In SAC '04: Proceedings of the 2004 ACM symposium on Applied computing, pages 1242-1247. ACM, 2004.
27. C. Tominski, P. Schulze-Wollgast, and H. Schumann. 3d information visualization for time dependent data on maps. In IV '05: Proceedings of the Ninth International Conference on Information Visualisation, pages 175-181, 2005.
28. E. Tufte. Envisioning information. Graphics Press, Cheshire, CT, USA, 1990.
29. A. Unwin and H. Hoffman. New interactive graphics tools for exploratory analysis of spatial data. In Innovations in GIS 5: selected papers from the fifth National Conference on GIS Research UK (GISRUK), pages 46-55, 1997.
30. I. Vasiliev. Mapping time. Cartographica, 34(2):1-51, 1997.
31. F. B. Viégas, M. Wattenberg, and K. Dave. Studying cooperation and conflict between authors with history flow visualizations. In CHI '04: Proc. of the SIGCHI conference on Human factors in computing systems, pages 575-582, 2004.
32. C.Weaver. Cross-dimensional visual queries for interactive+animated analysis of movement. In Workshop in Geospatial Visual Analytics, 2008.
33. M. J. Wisdom, N. J. Cimon, B. K. Johnson, Garton, E. O., and J. W. Thomas. Spatial partitioning by mule deer and elk in relation to traffic. Trans. of the 69th North American Wildlife and Natural Resources Conference, pages 509-530, 2004.