Interactive visualization of multivariate trajectory data with density maps

IEEE Pacific Visualization Symposium 2011, PacificVis 2011 - Proceedings

Volumn , Issue , 2011, Pages 147-154

  Scheepens, Roeland ^a   Willems, Niels ^a   Van De Wetering, Huub ^a   Van Wijk, Jarke J ^a  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

I.3.3 Computing Methodologies : Computer GraphicsPicture Image Generation

Indexed keywords

A-DENSITY; DENSITY FIELDS; DENSITY MAPS; DOMAIN SPECIFIC; DRILL-DOWN; GENERIC FRAMEWORKS; HIGH-END GRAPHICS; I.3.3 [COMPUTING METHODOLOGIES]: COMPUTER GRAPHICSPICTURE/IMAGE GENERATION; INTERACTIVE VISUALIZATIONS; MARITIME DOMAINS; MULTIPLE ATTRIBUTES; TEMPORAL AGGREGATION; TRAJECTORY DATA;

TRAJECTORIES; VISUALIZATION;

DATA VISUALIZATION;

EID: 79955691499     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PACIFICVIS.2011.5742384     Document Type: Conference Paper

References (29)

1. J. Alexander. Loxodromes: A rhumb way to go. Mathematics magazine, 77(5):349-356, Dec. 2004.
2. G. Andrienko and N. Andrienko. Spatio-temporal aggregation for visual analysis of movements. IEEE VAST, pages 51-58, October 2008.
3. G. Andrienko et al. Interactive visual clustering of large collections of trajectories. IEEE VAST, pages 3-10, October 2009.
4. P. Bak et al. Spatiotemporal analysis of sensor logs using growth ring maps. IEEE TVCG, 15(6):913-920, 2009.
5. U. Demšar and K. Virrantaus. Space-time density of trajectories: Exploring spatio-temporal patterns in movement data. International Journal of Geographical Information Science, 24(10):1527-1542, October 2010.
6. S. Dodge, R. Weibel, and A.-K. Lautenschütz. Towards a taxonomy of movement patterns. Information Visualization, 7(3-4):240-252.
7. J. A. Dykes and D. M. Mountain. Seeking structure in records of spatio-temporal behaviour. Computational Statistics & Data Analysis, 43(4):581-603, 2003. Data Visualization.
8. R. Fuchs and H. Hauser. Visualization of multi-variate scientific data. Computer Graphics Forum, 28(6):1670-1690, 2009.
9. H. Hagh-Shenas, S. Kim, V. Interrante, and C. Healey. Weaving versus blending. IEEE TVCG, 13:1270-1277, 2007.
10. J. Heinrich and D. Weiskopf. Continuous parallel coordinates. IEEE TVCG, 15:1531-1538, 2009.
11. C. Hurter, B. Tissoires, and S. Conversy. FromDaDy: Spreading aircraft trajectories across views to support iterative queries. IEEE TVCG, 15(6):1017-1024, 2009.
12. C. Hurter, B. Tissoires, and S. Conversy. Accumulation as a tool for efficient visualization of geographical and temporal data. AGILE Workshop Geospatial Visual Analytics: Focus on Time, May 2010.
13. ITU. Technical characteristics for an automatic identification system using time division multiple access in the VHF maritime mobile band. Recommendation ITU-R M.1371-1, 2001.
14. X. Jin and C.-L. Tai. Analytical methods for polynomial weighted convolution surfaces with various kernels. Computers & Graphics, 26(3):437-447, June 2002. (Pubitemid 34678659)
15. J. Kniss et al. Multidimensional transfer functions for interactive volume rendering. IEEE TVCG, 8:270-285, 2002.
16. R. Kosara, S. Miksch, and H. Hauser. Focus+context taken literally. IEEE CG&A, 22:22-29, 2002.
17. M. Levoy. Display of surfaces from volume data. Computer Graphics and Applications, 8(3):29-37, May 1988.
18. R. Maciejewski et al. A visual analytics approach to understanding spatiotemporal hotspots. IEEE TVCG, 99(RP):205-220, 2009.
19. J. Mennis, R. Viger, and C. D. Tomlin. Cubic map algebra functions for spatio-temporal analysis. Cartography and GIS, 32:17-32, 2005. (Pubitemid 40413031)
20. J. R. Miller. Attribute blocks: Visualizing multiple continuously defined attributes. IEEE CG&A, 27:57-69, 2007. (Pubitemid 46767726)
21. D. Orellana et al. Uncovering interaction patterns in mobile outdoor gaming. International Conference on Advanced Geographic Information Systems & Web Services, pages 177-182, 2009.
22. S. Peters and J. M. Krisp. Density calculation for moving points. AGILE Int. Conference on Geographic Information Science, 2010.
23. M. Riveiro, G. Falkman, and T. Ziemke. Visual analytics for the detection of anomalous maritime behavior. In International Conference Information Visualization, pages 273-279, 2008.
24. B. W. Silverman. Density Estimation for Statistics and Data Analysis. Number 26 in Monographs on Statistics and Applied Probability. Chapman & Hall, 1992.
25. J. P. Snyder. Flattening the Earth: Two Thousand Years of Map Projections. University of Chicago Press, 1993.
26. C. D. Tomlin and J. K. Berry. A mathematical structure for cartographic modeling in environmental analysis. Symposium of the American Congress on Surveying and Mapping, pages 269-283, 1979. (Pubitemid 9457348)
27. M. Wijffelaars, R. Vliegen, J. J. van Wijk, and E.-J. van der Linden. Generating color palettes using intuitive parameters. Computer Graphics Forum, 27(8):743-750, May 2008.
28. N. Willems, H. van de Wetering, and J. J. van Wijk. Visualization of vessel movements. Computer Graphics Forum, 28(3):959-966, 2009.
29. N. Willems, W. R. van Hage, G. de Vries, J. H. Janssens, and V. Malaiśe. An integrated approach for visual analysis of a multisource moving objects knowledge base. International Journal of Geographical Information Science, 24(10):1543-1558, October 2010.