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A method of hierarchical time-series data visualization

Published: 17 August 2013 Publication History

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.

References

[1]
Sheth, N., Cai, Q.: Visualizing mesh dataset using radial tree Layout; Spring 2003 Information Visualization Class Project, Indiana University(2003)
[2]
Havre, S., Hetzler, B., Nowell, L.: ThemeRiver: visualizing theme changes over time; In IEEE Symposium on Information Visualization (2000)115--123
[3]
Jiang Zhifang.: Research on Time-series Data Visualization Method Based on Parameterized Parallel Coordinates and Color Mapping Function. In International Conference on Systems and Informatics, (ICSAI 2012). 510--514
[4]
Burch, M., Weiskopf, D.: Visualizing Dynamic Quantitative Data in Hierarchies - TimeEdgeTrees: Attaching Dynamic Weights to Tree Edges; In IMAGAPP/IVAPP(2011)177--186
[5]
Ambient air quality standard GB 3085--1996

Cited By

View all
  • (2021)Big Data Analytics and Visualization in Traffic MonitoringBig Data Research10.1016/j.bdr.2021.100292(100292)Online publication date: Nov-2021
  • (2019)A Computational System for Temporal Visual Analysis of Labour Accident Data2019 23rd International Conference Information Visualisation (IV)10.1109/IV.2019.00024(88-93)Online publication date: Jul-2019
  • (2015)Visual analysis tool for hierarchical additive time-series data2015 IEEE International Conference on Service Operations And Logistics, And Informatics (SOLI)10.1109/SOLI.2015.7367610(18-23)Online publication date: Nov-2015

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Published In

cover image ACM Other conferences
VINCI '13: Proceedings of the 6th International Symposium on Visual Information Communication and Interaction
August 2013
133 pages
ISBN:9781450319881
DOI:10.1145/2493102
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

  • TU: Tianjin University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 August 2013

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Author Tags

  1. air quality
  2. data visualization
  3. hierarchy
  4. time-series

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  • Research-article

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VINCI '13
Sponsor:
  • TU

Acceptance Rates

VINCI '13 Paper Acceptance Rate 12 of 30 submissions, 40%;
Overall Acceptance Rate 71 of 193 submissions, 37%

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Cited By

View all
  • (2021)Big Data Analytics and Visualization in Traffic MonitoringBig Data Research10.1016/j.bdr.2021.100292(100292)Online publication date: Nov-2021
  • (2019)A Computational System for Temporal Visual Analysis of Labour Accident Data2019 23rd International Conference Information Visualisation (IV)10.1109/IV.2019.00024(88-93)Online publication date: Jul-2019
  • (2015)Visual analysis tool for hierarchical additive time-series data2015 IEEE International Conference on Service Operations And Logistics, And Informatics (SOLI)10.1109/SOLI.2015.7367610(18-23)Online publication date: Nov-2015

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