Comparison techniques utilized in spatial 3D and 4D data visualizations: A survey and future directions

被引:22
|
作者
Kim, Kyungyoon [1 ]
Carlis, John V. [1 ]
Keefe, Daniel F. [1 ]
机构
[1] Univ Minnesota, Dept Comp Sci & Engn, Minneapolis, MN 55455 USA
来源
COMPUTERS & GRAPHICS-UK | 2017年 / 67卷
基金
美国国家科学基金会;
关键词
Comparative visualization; Scientific visualization; Time-varying; OF-THE-ART; FLOW VISUALIZATION; DECISION-SUPPORT; MULTI-VARIATE; SHAPE; TOOL; UNCERTAINTY; VARIABILITY; ANIMATION; ENSEMBLES;
D O I
10.1016/j.cag.2017.05.005
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
A variety of visualization techniques can be utilized to compare multiple Spatial 3D or time-varying Sliadal 3D data instances (e.g., comparing pre-versus post-treatment volumetric medical images). However, despite the fact that comparative visualization is frequently needed - scientists, engineers, and even humanists must routinely compare such data - visualization users and practitioners suffer from a lack of adequate Spatial 3D comparative visualization tools and guidelines. Here we survey the field and present a taxonomy for classifying existing and new comparison visualization techniques for such data into four fundamental approaches: Juxtaposition, Superimposition, Interchangeable, and Explicit Encoding. The results clarify the key design decisions and tradeoffs that designers must make to create an effective comparative Spatial 3D data visualization and suggest the potential of emerging hybrid approaches, ones creatively combining aspects of the four fundamental approaches. (C) 2017 Published by Elsevier Ltd.
引用
收藏
页码:138 / 147
页数:10
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