期刊
COMPUTER GRAPHICS FORUM
卷 36, 期 1, 页码 263-287出版社
WILEY
DOI: 10.1111/cgf.12800
关键词
graphs; scientific visualization; user interface and interaction; visual analytics
资金
- U.S. National Science Foundation [IIS-1456763, IIS-1455886]
- Div Of Information & Intelligent Systems
- Direct For Computer & Info Scie & Enginr [1456763, 1455886] Funding Source: National Science Foundation
Graphs represent general node-link diagrams and have long been utilized in scientific visualization for data organization and management. However, using graphs as a visual representation and interface for navigating and exploring scientific data sets has a much shorter history, yet the amount of work along this direction is clearly on the rise in recent years. In this paper, we take a holistic perspective and survey graph-based representations and techniques for scientific visualization. Specifically, we classify these representations and techniques into four categories, namely partition-wise, relationship-wise, structure-wise and provenance-wise. We survey related publications in each category, explaining the roles of graphs in related work and highlighting their similarities and differences. At the end, we reexamine these related publications following the graph-based visualization pipeline. We also point out research trends and remaining challenges in graph-based representations and techniques for scientific visualization.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据