中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Line Graph or Scatter Plot? Automatic Selection of Methods for Visualizing Trends in Time Series

文献类型:期刊论文

作者Fubo Han; Yunhai Wang; Lifeng Zhu; Oliver Deussen; Baoquan Chen
刊名IEEE Transactions on Visualization and Computer Graphics
出版日期2017
文献子类期刊论文
英文摘要Line graphs are usually considered to be the best choice for visualizing time series data, whereas sometimes also scatter plots are used for showing main trends. So far there are no guidelines that indicate which of these visualization methods better display trends in time series for a given canvas. Assuming that the main information in a time series is its overall trend, we propose an algorithm that automatically picks the visualization method that reveals this trend best. This is achieved by measuring the visual consistency between the trend curve represented by a LOESS fit and the trend described by a scatter plot or a line graph. To measure the consistency between our algorithm and user choices, we performed an empirical study with a series of controlled experiments that show a large correspondence. In a factor analysis we furthermore demonstrate that various visual and data factors have effects on the preference for a certain type of visualization.
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语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/12447]  
专题深圳先进技术研究院_数字所
作者单位IEEE Transactions on Visualization and Computer Graphics
推荐引用方式
GB/T 7714
Fubo Han,Yunhai Wang,Lifeng Zhu,et al. Line Graph or Scatter Plot? Automatic Selection of Methods for Visualizing Trends in Time Series[J]. IEEE Transactions on Visualization and Computer Graphics,2017.
APA Fubo Han,Yunhai Wang,Lifeng Zhu,Oliver Deussen,&Baoquan Chen.(2017).Line Graph or Scatter Plot? Automatic Selection of Methods for Visualizing Trends in Time Series.IEEE Transactions on Visualization and Computer Graphics.
MLA Fubo Han,et al."Line Graph or Scatter Plot? Automatic Selection of Methods for Visualizing Trends in Time Series".IEEE Transactions on Visualization and Computer Graphics (2017).

入库方式: OAI收割

来源:深圳先进技术研究院

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