A method of hierarchical time-series data visualization

Ning Li, Zhifang Jiang, Zixiang Liu, Xiangxu Meng
{"title":"A method of hierarchical time-series data visualization","authors":"Ning Li, Zhifang Jiang, Zixiang Liu, Xiangxu Meng","doi":"10.1145/2493102.2493121","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new method of visualizing hierarchy and time-series data. We use the node-linked technology to show hierarchy structures, rectangles from the left to right to represent the time-series data and a pie chart to represent statistical information about the time-series data. The method is designed to display and compare the corresponding data of each layer, and then observe the differences between the nodes at each layer and the trends of the thing. We applied this method in the urban air quality data visualization and achieved good results.","PeriodicalId":360638,"journal":{"name":"International Symposiu on Visual Information Communication and Interaction","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposiu on Visual Information Communication and Interaction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2493102.2493121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

In this paper, we propose a new method of visualizing hierarchy and time-series data. We use the node-linked technology to show hierarchy structures, rectangles from the left to right to represent the time-series data and a pie chart to represent statistical information about the time-series data. The method is designed to display and compare the corresponding data of each layer, and then observe the differences between the nodes at each layer and the trends of the thing. We applied this method in the urban air quality data visualization and achieved good results.
一种分层时间序列数据可视化方法
本文提出了一种新的层次和时间序列数据可视化方法。我们使用节点链接技术来显示层次结构,从左到右的矩形表示时间序列数据,饼图表示时间序列数据的统计信息。该方法旨在将每层对应的数据进行显示和比较,然后观察每层节点之间的差异和事物的趋势。将该方法应用于城市空气质量数据可视化中,取得了较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信