Visual methods for analyzing time-oriented data

被引:155
作者
Aigner, Wolfgang
Miksch, Silvia
Muller, Wolfgang
Schumann, Heidrun
Tominski, Christian
机构
[1] Danube Univ Krems, Dept Informat & Knowledge Engn, A-3500 Krems, Austria
[2] Univ Educ Weingarten, D-88250 Weingarten, Germany
[3] Univ Rostock, Inst Comp Sci, D-18057 Rostock, Germany
基金
奥地利科学基金会;
关键词
time-oriented data; visualization; analysis; user;
D O I
10.1109/TVCG.2007.70415
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Providing appropriate methods to facilitate the analysis of time-oriented data is a key issue in many application domains. In this paper, we focus on the unique role of the parameter time in the context of visually driven data analysis. We will discuss three major aspects-visualization, analysis, and the user. It will be illustrated that it is necessary to consider the characteristics of time when generating visual representations. For that purpose, we take a look at different types of time and present visual examples. Integrating visual and analytical methods has become an increasingly important issue. Therefore, we present our experiences in temporal data abstraction, principal component analysis, and clustering of larger volumes of time-oriented data. The third main aspect we discuss is supporting user-centered visual analysis. We describe event-based visualization as a promising means to adapt the visualization pipeline to needs and tasks of users.
引用
收藏
页码:47 / 60
页数:14
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