The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.01 - January/February (2012 vol.32)
pp: 56-66
Roeland Scheepens , Eindhoven University of Technology
Niels Willems , Eindhoven University of Technology
Huub van de Wetering , Eindhoven University of Technology
Jarke J. van Wijk , Eindhoven University of Technology
ABSTRACT
Trajectories capture the movements of objects with multiple attributes. A visualization method called density maps shows trends in these trajectories. Density map creation involves aggregating smoothed trajectories in a density field and then visualizing the field. Users can explore attributes along trajectories by calculating a density field for multiple data subsets. The method then either combines these density fields into a new density field or visualizes them and then combines them. Using an interactive distribution map, users can define subsets and, supported by graphics hardware, get fast feedback for these computationally expensive density field calculations. Given the generic method and the lack of domain-specific assumptions, this method might also be applicable for trajectories in other domains.
INDEX TERMS
trajectories, multivariate data, smoothing, kernel density estimation, computer graphics
CITATION
Roeland Scheepens, Niels Willems, Huub van de Wetering, Jarke J. van Wijk, "Interactive Density Maps for Moving Objects", IEEE Computer Graphics and Applications, vol.32, no. 1, pp. 56-66, January/February 2012, doi:10.1109/MCG.2011.88
REFERENCES
1. S. Dodge, R. Weibel, and A.-K. Lautenschütz, "Towards a Taxonomy of Movement Patterns," Information Visualization, vol. 7, nos. 3–4, 2008, pp. 240–252.
2. N. Willems et al., "An Integrated Approach for Visual Analysis of a Multisource Moving Objects Knowledge Base," Int'l J. Geographical Information Science, vol. 24, no. 10, 2010, pp. 1543–1558.
3. B.W. Silverman, Density Estimation for Statistics and Data Analysis, Chapman & Hall, 1992.
4. C. Hurter, B. Tissoires, and S. Conversy, "Accumulation as a Tool for Efficient Visualization of Geographical and Temporal Data," Presentation at AGILE Workshop Geospatial Visual Analytics: Focus on Time, 2010; www.lii-enac.fr/~conversy/research/papers geovat2010-accumulation.pdf.
5. O.D. Lampe and H. Hauser, "Interactive Visualization of Streaming Data with Kernel Density Estimation," Proc. 2011 IEEE Pacific Visualization Symp. (PacificVis 11), IEEE CS Press, 2011, pp. 171–178.
6. N. Willems, H. van de Wetering, and J.J. van Wijk, "Visualization of Vessel Movements," Computer Graphics Forum, vol. 28, no. 3, 2009, pp. 959–966.
7. S. Peters and J.M. Krisp, "Density Calculation for Moving Points," Proc. 13th AGILE Int'l Conf. Geographic Information Science, 2010; http://agile2010.dsi.uminho.pt/penShortPapers_PDF%5C135_DOC.pdf .
8. C.D. Tomlin and J.K. Berry, "A Mathematical Structure for Cartographic Modeling in Environmental Analysis," Proc. 39th Symp. Am. Congress on Surveying and Mapping, ACSM, 1979, pp. 269–283.
9. M. Wijffelaars et al., "Generating Color Palettes Using Intuitive Parameters," Computer Graphics Forum, vol. 27, no. 8, 2008, pp. 743–750.
10. B.T. Phong, "Illumination for Computer Generated Pictures," Comm. ACM, vol. 18, no. 6, 1975, pp. 311–317.
11. Recommendation ITU-R M.1371-1, Technical Character-istics for an Automatic Identification System Using Time Division Multiple Access in the VHF Maritime Mobile Band, Int'l Telecommunications Union, 2001.
12. R. Kosara, S. Miksch, and H. Hauser, "Focus+Context Taken Literally," IEEE Computer Graphics and Applica-tions, vol. 22, no. 1, 2002, pp. 22–29.
13. S. van der Spek et al., "Sensing Human Activity: GPS Tracking," Sensors, vol. 9, no. 4, 2009, pp. 3033–3055.
14. R. Scheepens et al., "Interactive Visualization of Multivariate Trajectory Data with Density Maps," Proc. 2011 IEEE Pacific Visualization Symp. (PacificVis 11), IEEE CS Press, 2011, pp. 147–154.
22 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool