Cited By
View all- Liao ZPeng YLi YLiang XZhao Y(2014)A web-based visual analytics system for air quality monitoring data2014 22nd International Conference on Geoinformatics10.1109/GEOINFORMATICS.2014.6950834(1-6)Online publication date: Jun-2014
Air pollution data visualization based on the shape of a tree
Pages 115 - 116
Abstract
Nowadays, environment pollution is one of the most serious problems facing mankind, and more and more people are concerned about it. To solve it, we should get to know it first. In this paper, we present the method of tree-shaped multivariate visualization for hierarchical data, to reveal changes in the data and make comparisons among different pollutants and the time. The technique is based on a botanical tree metaphor. The resulting tree-like visualization can display many properties of the data and we can learn some useful information through the interactions. We also use traditional parallel coordinates as an auxiliary method and a complement to analyze the result.
References
[1]
Huamin Qu. Visual Analysis of the Air Pollution Problem in Hong Kong. IEEE Transactions on Visualization and Computer Graphics, 13(6):1408--1415, 2007.
[2]
Zhifang Jiang. The Shape Coordinates System in Visualization Space. The International Symposium on Visual Information Communication and Interaction: 18--21, 2012.
[3]
Florian Block. The DeepTree Exhibit: Visualizing the Tree of Life to Facilitate Informal Learning. IEEE Transactions on Visualization and Computer Graphics, 18 (12):2789--2798, 2012.
[4]
Xiaoru Yuan and Huamin Qu. Scattering Points in Parallel Coordinates. IEEE Transactions on Visualization and Computer Graphics, 15(6):1001--1008, 2009.
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Rida Moustafa. Multivariate Continuous Data-Parallel Coordinates. Book: Graphics of Large Datasets: Visualizing a Million.
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Ikbal Zammouri. Fractal Shapes Description with Parametric L-systems and Turtle Algebra. International Journal of Computer and Information Engineering 1:3, 2007.
Index Terms
- Air pollution data visualization based on the shape of a tree
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Published In
August 2013
133 pages
ISBN:9781450319881
DOI:10.1145/2493102
- General Chairs:
- Jiawan Zhang,
- Gennaro Costagliola,
- Program Chair:
- Robert P. Biuk-Aghai
Copyright © 2013 Copyright is held by the owner/author(s).
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
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 17 August 2013
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Author Tags
Qualifiers
- Research-article
Funding Sources
- Shandong Science and Technology Development Project
- Jinan Science and Technology Bureau
- Ministry of Science and Technology of the People's Republic of China
Conference
VINCI '13
Sponsor:
- TU
VINCI '13: The 6th International Symposium on Visual Information Communication and Interaction
August 17 - 18, 2013
Tianjin, China
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- Liao ZPeng YLi YLiang XZhao Y(2014)A web-based visual analytics system for air quality monitoring data2014 22nd International Conference on Geoinformatics10.1109/GEOINFORMATICS.2014.6950834(1-6)Online publication date: Jun-2014
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