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Vis Inf  2017, Vol. 1 Issue (1): 25-39    DOI: 10.1016/j.visinf.2017.01.004
论文     
采用交互时间掩码探索运动和事件数据
Natalia Andrienkoa,b, Gennady Andrienkoa,b, Elena Camossic, Christophe Claramuntd, Jose Manuel Cordero Garciae, Georg Fuchsa, Melita Hadzagicc, Anne-Laure Jousselmec, Cyril Rayd, David Scarlattif, George Vourosg#br#
a Fraunhofer Institute IAIS, Sankt Augustin, Germany;
b City University London, London, UK;
c NATO Science and Technology Organization, Centre for Maritime Research and Experimentation, Italy;
d Naval Academy Research Institute, France;
e CRIDA - Reference Center for Research, Development and Innovation in ATM, Madrid, Spain;
f Boeing Research & Technology Europe, Spain;
g Department of Digital System, University of Piraeus, Greece
Visual exploration of movement and event data with interactive time masks
Natalia Andrienkoa,b, Gennady Andrienkoa,b, Elena Camossic, Christophe Claramuntd, Jose Manuel Cordero Garciae, Georg Fuchsa, Melita Hadzagicc, Anne-Laure Jousselmec, Cyril Rayd, David Scarlattif, George Vourosg
a Fraunhofer Institute IAIS, Sankt Augustin, Germany; 
b City University London, London, UK; 
c NATO Science and Technology Organization, Centre for Maritime Research and Experimentation, Italy; 
d Naval Academy Research Institute, France; 
e CRIDA - Reference Center for Research, Development and Innovation in ATM, Madrid, Spain; 
f Boeing Research & Technology Europe, Spain; 
g Department of Digital System, University of Piraeus, Greece
 全文: PDF 
摘要: 创新:本文提出了时间掩码的概念,可用来选取符合某些查询条件的多个不相交的时间区段。这种基于时间掩码的过滤器适用于以时间为基准的对象,例如事件和轨迹。所选取的对象或区段可以按不同的方式动态地进行概括,并以可视化的方式呈现在图和/或其它显示器上,供进一步研究。时间掩码过滤器对分析多源异构数据(例如,事件记录、移动对象的位置和测量的时间序列)尤为有用。为了检测这些数据之间的关系,分析师可以基于其中一个数据集设置一定的查询条件,然后查找与这些条件同时发生的其它数据集中的那些对象和数据值。

案例证明:通过对航空和海上交通相关的两个真实数据集的分析,证明了时间掩码过滤器的实用性。

关键词: 数据可视化 交互可视化 交互技术    
Abstract: We introduce the concept of time mask, which is a type of temporal filter suitable for selection of multiple disjoint time intervals in which some query conditions fulfil. Such a filter can be applied to timereferenced objects, such as events and trajectories, for selecting those objects or segments of trajectories that fit in one of the selected time intervals. The selected subsets of objects or segments are dynamically summarized in various ways, and the summaries are represented visually on maps and/or other displays to enable exploration. The time mask filtering can be especially helpful in analysis of disparate data (e.g., event records, positions of moving objects, and time series of measurements), which may come from different sources. To detect relationships between such data, the analyst may set query conditions on the basis of one dataset and investigate the subsets of objects and values in the other datasets that co-occurred in time with these conditions. We describe the desired features of an interactive tool for time mask filtering and present a possible implementation of such a tool. By example of analysing two real world data collections related to aviation and maritime traffic, we show the way of using time masks in combination with other types of filters and demonstrate the utility of the time mask filtering.
Key words: Data visualization    Interactive visualization    Interaction technique
出版日期: 2017-07-06
基金资助: This work was supported in part by EU in project datAcron (grant agreement 687591).
通讯作者: Gennady Andrienko     E-mail: gennady.andrinko@iais.fraunhofer.de
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Natalia Andrienko
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Melita Hadzagic
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引用本文:

Natalia Andrienko, Gennady Andrienko, Elena Camossi, Christophe Claramunt, Jose Manuel Cordero Garcia, Georg Fuchs, Melita Hadzagic, Anne-Laure Jousselme, Cyril Ray, David Scarlatti, George Vouros. Visual exploration of movement and event data with interactive time masks. Vis Inf, 2017, 1(1): 25-39.

链接本文:

http://www.zjujournals.com/vi/CN/10.1016/j.visinf.2017.01.004        http://www.zjujournals.com/vi/CN/Y2017/V1/I1/25

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