Visualizing time-oriented data -: A systematic view

被引:207
作者
Aigner, Wolfgang
Miksch, Silvia
Mueller, Wolfgang
Schumann, Heidrun
Tominski, Christian
机构
[1] Univ Rostock, D-18059 Rostock, Germany
[2] Danube Univ Krems, A-3500 Krems An Der Donau, Austria
[3] Univ Educ Weingarten, D-88250 Weingarten, Germany
来源
COMPUTERS & GRAPHICS-UK | 2007年 / 31卷 / 03期
关键词
visual analytics; visualization; time-oriented data;
D O I
10.1016/j.cag.2007.01.030
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
The analysis of time-oriented data is an important task in many application scenarios. In recent years, a variety of techniques for visualizing such data have been published. This variety makes it difficult for prospective users to select methods or tools that are useful for their particular task at hand. In this article, we develop and discuss a systematic view on the diversity of methods for visualizing time-oriented data. With the proposed categorization we try to untangle the visualization of time-oriented data, which is such an important concern in Visual Analytics. The categorization is not only helpful for users, but also for researchers to identify future tasks in Visual Analytics. (C) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码:401 / 409
页数:9
相关论文
共 45 条
[1]  
AIGNER W, 2004, P INT C COORD MULT V
[2]  
AIGNER W, 2005, P INT C INF VIS LOND
[3]   MAINTAINING KNOWLEDGE ABOUT TEMPORAL INTERVALS [J].
ALLEN, JF .
COMMUNICATIONS OF THE ACM, 1983, 26 (11) :832-843
[4]  
Andrienko N., 2006, Exploratory analysis of spatial and temporal data: a systematic approach
[5]  
[Anonymous], 2005, The Grammar of Graphics
[6]  
[Anonymous], P IEEE S INF VIS SAN
[7]  
BERTIN J, 1981, GRAPHICS GRAPHIC INF
[8]  
DOLEISCH H, 2004, P JOINT EUR IEEE TCV
[9]  
DOLEISCH H, 2004, TRVRVIS2004024 VRVIS
[10]  
FAILS J, 2006, P IEEE S VIS AN SCI