ITEA-interactive trajectories and events analysis: exploring sequences of spatio-temporal events in movement data

被引:2
|
作者
Cibulski, Lena [1 ,3 ]
Gracanin, Denis [4 ]
Diehl, Alexandra [5 ,6 ]
Splechtna, Rainer [1 ]
Elshehaly, Mai [7 ]
Delrieux, Claudio [8 ]
Matkovic, Kresimir [2 ]
机构
[1] VRVis Res Ctr, Vienna, Austria
[2] VRVis Res Ctr, Interact Visualizat Grp, Vienna, Austria
[3] Univ Magdeburg, Magdeburg, Germany
[4] Virginia Tech, Dept Comp Sci, Blacksburg, VA USA
[5] Univ Buenos Aires, Course Algorithms & Data Struct 1, Fac Exact & Nat Sci, Buenos Aires, DF, Argentina
[6] Univ Buenos Aires, Course Informat Visualizat, Buenos Aires, DF, Argentina
[7] Univ Maryland, Baltimore, MD 21201 USA
[8] Univ South, Bahia Blanca, Buenos Aires, Argentina
来源
VISUAL COMPUTER | 2016年 / 32卷 / 6-8期
关键词
Interactive visual analysis; Movement data; Spatio-temporal data; Coordinated multiple views; ANALYTICS;
D O I
10.1007/s00371-016-1255-7
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Widespread use of GPS and similar technologies makes it possible to collect extensive amounts of trajectory data. These data sets are essential for reasonable decision making in various application domains. Additional information, such as events taking place along a trajectory, makes data analysis challenging, due to data size and complexity. We present an integrated solution for interactive visual analysis and exploration of events along trajectories data. Our approach supports analysis of event sequences at three different levels of abstraction, namely spatial, temporal, and events themselves. Customized views as well as standard views are combined to form a coordinated multiple views system. In addition to trajectories and events, we include on-the-fly derived data in the analysis. We evaluate our integrated solution using the IEEE VAST 2015 Challenge data set. A successful detection and characterization of malicious activity indicate the usefulness and efficiency of the presented approach.
引用
收藏
页码:847 / 857
页数:11
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