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. |
URL标识 | 查看原文 |
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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。