Visual Trends Analysis in Time-Varying Ensembles.

IEEE Transactions on Visualization and Computer Graphics(2016)

引用 37|浏览52
暂无评分
摘要
Visualization and analysis techniques play a key role in the discovery of relevant features in ensemble data. Trends, in the form of persisting commonalities or differences in time-varying ensemble datasets, constitute one of the most expressive feature types in ensemble analysis. We develop a flow-graph representation as the core of a system designed for the visual analysis of trends in time-vary...
更多
查看译文
关键词
Data visualization,Market research,Analytical models,Visualization,Uncertainty,Computational modeling,Numerical models
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要