期刊文献+

轨迹数据可视分析研究 被引量:40

Visual Analysis of Trajectory Data
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摘要 轨迹数据大量产生于交通、气象、生态和移动服务等领域.有效地理解和利用这些数据不仅需要自动高效的分析方法,也需要直观生动的可视化;这两者相互结合形成了可视分析技术.文中概述了轨迹数据可视分析中的主要方法和交互技术,并介绍了一系列应用案例.最后,文中总结了轨迹数据可视分析研究中的问题和面临的挑战. Large volumes of trajectory data are generated in transportation, meteorology, ecology and locationbased services. Effective understanding and utilization of such data require not only ecient automatic analysis,but also intuitive and vivid visualization. Visual analysis is the combination of analysis and visualization. In thispaper, we will introduce the major methodologies and interaction techniques in trajectory visual analysis, followedby its applications. Finally, we summarize the problems and challenges in this research area.
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2015年第1期9-25,共17页 Journal of Computer-Aided Design & Computer Graphics
基金 国家自然科学基金(61170204,61232012) 国家“九七三”重点基础研究发展计划项目(2015CB352500)
关键词 可视分析 轨迹数据 交通数据 移动数据 Visual Analysis Trajectory Data Transportation Data Movement Data
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参考文献99

  • 1Keim D, Andrienko G, Fekete J. D, et al. Visual analytics:Definition, process, and challenges [M]. Information Visualization,Heidelberg: Springer, 2008: 154–175.
  • 2Wang Z, Lu M, Yuan X, et al. Visual traffic jam analysis basedon trajectory data [J]. IEEE Transactions on Visualization andComputer Graphics, 2013, 19(12): 2159–2168.
  • 3Parent C, Spaccapietra S, Renso C, et al. Semantic trajectoriesmodeling and analysis [J]. ACM Computer Survey, 2013, 45(4):42:1–42:32.
  • 4Zheng Y, Zhou X, eds. Computing with spatial trajectories [M].New York: Springer, 2011.
  • 5Andrienko G, Andrienko N, Bak P, et al. Visual Analytics ofMovement [M]. New York: Springer, 2013.
  • 6Dodge S, Weibel R, Lautenschütz A. K. Towards a taxonomyof movement patterns [J]. Information Visualization, 2008, 7(3):240–252.
  • 7Andrienko G, Andrienko N, Dykes J, et al. Geovisualization ofdynamics, movement and change: key issues and developingapproaches in visualization research [J]. Information Visualization,2008, 7(3): 173–180.
  • 8Andrienko N, Andrienko G. Visual analytics of movement: anoverview of methods, tools, and procedures [J]. InformationVisualization, 2013, 12(1): 3–24.
  • 9蒲剑苏,屈华民,倪明选.移动轨迹数据的可视化[J].计算机辅助设计与图形学学报,2012,24(10):1273-1282. 被引量:33
  • 10OpenDataCity, Visitor flow analysis by publica wireless [OL].[2014-11-06]. http://apps.opendatacity.de/relog.

二级参考文献31

  • 1Spaccapietra S, Parent C, Damiani M, et al. A conceptual view on trajectories[J]. Data Knowledge Engineering, 2008, 65(1):126-146.
  • 2Hgerstraand T. What about people in regional science? [J]. Papers of the Regional Science Association, 1970, 24 (1) : 7- 24.
  • 3Miller H. A measurement theory for time geography [J]. Geographical Analysis, 2005, 37(1): 17-45.
  • 4Miller H. Modeling accessibility using space time prism concepts within geographical information systems [J]. International Journal of Geographical Information Science, 1991, 5(3): 287-301.
  • 5Andrienko N, Andrienko G, Pelekis N, et al. Geography mobility and privacy a knowledge discovery vision [M]. Heidelberg: Springer, 2008:15-38.
  • 6Quddus M, Ochieng W, Noland R. Current map-matching algorithms for transport applications state-of-the art and future research directions [J]. Transportation Research Part C Emerging Technologies, 2007, 15(5): 312-328.
  • 7Crnovrsanin T, Muelder C, Correa C, et al. Proximity-based visualization of movement trace data [J]// Proceedings of IEEE Symposium on Visual Analytics Science and Technology. Los Alamitos~ IEEE Computer Society Press, 2009:11-18.
  • 8Andrienko N, Andrienko G, Gatalsky P. Supporting visual exploration of object movement[C]//Proceedings of the Working Conference on Advanced Visual Interfaces. New York: ACM Press, 2000:217-220.
  • 9Andrienko N, Andrienko G, Gatalsky P. Exploring geovisualization[M]. Amsterdam: Elsevier, 2005:201-222.
  • 10Willems N, Van De Wetering H, Van Wiik J. Evaluation of the visibility of vessel movement features in trajectory visualizations[J]. Computer Graphics Forum, 2011, 30(3) : 801-810.

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