More Web Proxy on the site http://driver.im/

research-article

The shape coordinates system in visualization space

Authors:

Shenghui Cheng,

Xiangxu MengAuthors Info & Claims

VINCI '12: Proceedings of the 5th International Symposium on Visual Information Communication and Interaction

Pages 18 - 21

https://doi.org/10.1145/2397696.2397699

Published: 27 September 2012 Publication History

Abstract

A concept of shape coordinates system for visualization of data set is proposed in this paper. First, the visualization data set, visualization graphics, visualization process and visualization space are defined. Then, the definition, mapping, operation, theorems, properties and algorithms of shape coordinates system are described. Finally an example to visualize the data set as a tree shape graphics in the visualization space by using the shape coordinates system is given.

References

[1]

O. Daae Lampe and H. Hauser Interactive Model Prototyping in visualization space SIGRAD 2011

[2]

Li Yangtao, Li Chuan, Xu Chao, Lei Xiao, Xu Hongyu, Tang Changjie, Yang Ning space Score: Node Significance Evaluation Based on PageRank in InfoNetwork visualization. DOI= http://www.paper.edu.cn

[3]

Alfred Inselberg. parallel coordinates visual Multidimensional Geometry and Its Applications 2009-08-28. ISBN: 0387215077.

Digital Library

[4]

Ankerst M., Berchtold S., Keim D. A. Similarity clustering of dimensions for an enhanced visualization of multidimensional data. In Proc. of IEEE Symp. on Information visualization (1998), pp. 52--60.

Digital Library

[5]

Y.-H. Fua, M. O. Ward, and E. A. Rundensteiner. Hierarchical parallel coordinates for exploration of large datasets. In Proceedings of IEEE Visualization, pages 43--50, Oct. 1999.

Digital Library

[6]

Peng W., Ward M. O., Rundensteiner E. A.: Clutter reduction in multi-dimensional data visualization using dimension reordering. In Proc. of IEEE Symp. On Information visualization (2004), pp. 89--96.

Digital Library

[7]

Fovotny M.: Visually effective information visualization of large data. In Proc. of the 8th CentralEuropean Seminar on Computer Graphics (2004).

[8]

Artero A. O., De Oliveira M. C. F., Lev-Kowitz H.:Uncovering clusters in crowded parallel coordinates visualizations. In Proc. of IEEE Symp. on Information visualization (2004), pp.81--88.

Digital Library

[9]

H. Zhou, X. Yuan, H. Qu, W. Cui and B. Chen. Visual clustering in parallel coordinates. Computer graphicics Forum, 27(3):1047--1054, 2008.

Digital Library

[10]

Wong P. C., Bergeron R. D.:Multiresolution multidimensional wavelet brushing. In Proc. of IEEE visualization (1996), pp. 141--148.

Digital Library

[11]

Hauser H., Ledermann F., Doleisch H.:Angular brushing of extended parallel coordinates. In Proc. of IEEE Symp. on Information visualization (2002), pp.127--130.

Digital Library

[12]

Siirtola H.:Direct manipulation of parallel coordinates. In CHI'00 Ext. Abstr. (2000), pp.119--120.

Digital Library

[13]

Huamin Qu Visual Analysis of the Air Pollution Problem in Hong Kong. IEEE Trans. Vis. Comput. Graph. 13(6): 1408--1415 (2007)

Digital Library

[14]

K. T. McDonnell K. Mueller. Illustrative parallel coordinates. Euro graphics/IEEE-VGTC Symposium on Visualization. Vol 27(3), 2008.

Digital Library

[15]

Xiaoru Yuan, Peihong Guo, He Xiao, Hong Zhou, and Huamin Qu Scattering Points in parallel coordinates IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL. 15, NO. 6, NOVEMBER/DECEMBER 2009

Digital Library

Cited By

Bi XJiang ZCheng SMeng XZhang JCostagliola GBiuk-Aghai R(2013)Air pollution data visualization based on the shape of a treeProceedings of the 6th International Symposium on Visual Information Communication and Interaction10.1145/2493102.2493122(115-116)Online publication date: 17-Aug-2013
https://dl.acm.org/doi/10.1145/2493102.2493122

Index Terms

The shape coordinates system in visualization space
1. Computing methodologies
  1. Computer graphics
    1. Graphics systems and interfaces
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Graphics input devices
    2. Interaction paradigms
      1. Graphical user interfaces

Recommendations

GeoAnalytics visual inquiry and filtering tools in parallel coordinates plots
GIS '07: Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems

The complex nature of social and scientific spatial-temporal multivariate data calls for highly interactive integrated information visualization (InfoVis) and geo-visualization (GeoVis) tools and applications. Our research concentrates on improving ...
Visual Signature of High-Dimensional Geometry in Parallel Coordinates
PACIFICVIS '14: Proceedings of the 2014 IEEE Pacific Visualization Symposium

Although we can interactively rotate a 3D projected high-dimensional geometry and observe its dynamic changes, this traditional visualization method is limited and highly sensitive to the choice of viewing direction. Parallel-coordinates plots ...
Network Data Visualization Using Parallel Coordinates Version of Time-tunnel with 2Dto2D Visualization for Intrusion Detection
WAINA '13: Proceedings of the 2013 27th International Conference on Advanced Information Networking and Applications Workshops

This paper treats network data visualization using Parallel Coordinates version of Time-tunnel (PCTT) for intrusion detection. Originally, Time-tunnel is a multidimensional data visualization tool and its Parallel Coordinates version provides the ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

VINCI '12: Proceedings of the 5th International Symposium on Visual Information Communication and Interaction

September 2012

122 pages

ISBN:9781450317825

DOI:10.1145/2397696

General Chairs:
Huamin Qu
Hong Kong University of Science and Technology
,
Wei Chen
Zhejiang University
,
Program Chairs:
Philip T. Cox
Dalhousie University
,
Shixia Liu
Microsoft Research Asia

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

State Key Lab of CAD & CG: State Key Lab of CAD & CG, Zhejiang University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 September 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Shandong Science and Technology Development Project

Conference

VINCI '12

Sponsor:

State Key Lab of CAD & CG

VINCI '12: The International Symposium on Visual Information Communication and Interaction

September 27 - 28, 2012

Hangzhou, China

Acceptance Rates

Overall Acceptance Rate 71 of 193 submissions, 37%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
109
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 30 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Bi XJiang ZCheng SMeng XZhang JCostagliola GBiuk-Aghai R(2013)Air pollution data visualization based on the shape of a treeProceedings of the 6th International Symposium on Visual Information Communication and Interaction10.1145/2493102.2493122(115-116)Online publication date: 17-Aug-2013
https://dl.acm.org/doi/10.1145/2493102.2493122

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents