期刊
COMPUTER GRAPHICS FORUM
卷 35, 期 1, 页码 234-260出版社
WILEY
DOI: 10.1111/cgf.12722
关键词
information visualization; visualization
资金
- Austrian Federal Ministry of Science, Research, and Economy via CVAST, a Laura Bassi Centre of Excellence [822746]
- Austrian Science Fund (FWF) via the KAVA-Time project [P25489]
- Austrian Science Fund (FWF) [P25489] Funding Source: Austrian Science Fund (FWF)
Sets comprise a generic data model that has been used in a variety of data analysis problems. Such problems involve analysing and visualizing set relations between multiple sets defined over the same collection of elements. However, visualizing sets is a non-trivial problem due to the large number of possible relations between them. We provide a systematic overview of state-of-the-art techniques for visualizing different kinds of set relations. We classify these techniques into six main categories according to the visual representations they use and the tasks they support. We compare the categories to provide guidance for choosing an appropriate technique for a given problem. Finally, we identify challenges in this area that need further research and propose possible directions to address these challenges. Further resources on set visualization are available at .
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