A space optimized scatter plot matrix visualization

Wen Bo Wang; Mao Lin Huang; Quang Vinh Nguyen

doi:10.1007/978-3-319-46771-9_50

A space optimized scatter plot matrix visualization

Wen Bo Wang, Mao Lin Huang, Quang Vinh Nguyen

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

2 Citations (Scopus)

Abstract

This paper proposed a Space-Optimized Scatter Plot Matrix that used for the presentation of multi-dimensional dataset. This technique achieves the display space utilization in a 2D geometrical space. Our strategy is to maximize the utilization of computer space by optimizing the distribution of the plots in a geometrical plane of a display screen; We also apply interact mechanism, user query and visual cues, to support users' communication with variables and the discovery of deeper contents.

Original language	English
Title of host publication	Cooperative Design, Visualization, and Engineering: 13th International Conference, CDVE 2016, Sydney, NSW, Australia, 24-27 October 2016, Proceedings
Publisher	Springer
Pages	382-385
Number of pages	4
ISBN (Print)	9783319467702
DOIs	https://doi.org/10.1007/978-3-319-46771-9_50
Publication status	Published - 2016
Event	CDVE (Conference) - Duration: 24 Oct 2016 → …

Publication series

Name
ISSN (Print)	0302-9743

Conference

Conference	CDVE (Conference)
Period	24/10/16 → …

Keywords

information visualization
querying (computer science)

Access to Document

10.1007/978-3-319-46771-9_50

Cite this

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title = "A space optimized scatter plot matrix visualization",

abstract = "This paper proposed a Space-Optimized Scatter Plot Matrix that used for the presentation of multi-dimensional dataset. This technique achieves the display space utilization in a 2D geometrical space. Our strategy is to maximize the utilization of computer space by optimizing the distribution of the plots in a geometrical plane of a display screen; We also apply interact mechanism, user query and visual cues, to support users' communication with variables and the discovery of deeper contents.",

keywords = "information visualization, querying (computer science)",

author = "Wang, {Wen Bo} and Huang, {Mao Lin} and Nguyen, {Quang Vinh}",

year = "2016",

doi = "10.1007/978-3-319-46771-9_50",

language = "English",

isbn = "9783319467702",

publisher = "Springer",

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booktitle = "Cooperative Design, Visualization, and Engineering: 13th International Conference, CDVE 2016, Sydney, NSW, Australia, 24-27 October 2016, Proceedings",

note = "CDVE (Conference) ; Conference date: 24-10-2016",

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A space optimized scatter plot matrix visualization. / Wang, Wen Bo; Huang, Mao Lin; Nguyen, Quang Vinh.
Cooperative Design, Visualization, and Engineering: 13th International Conference, CDVE 2016, Sydney, NSW, Australia, 24-27 October 2016, Proceedings. Springer, 2016. p. 382-385.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - A space optimized scatter plot matrix visualization

AU - Wang, Wen Bo

AU - Huang, Mao Lin

AU - Nguyen, Quang Vinh

PY - 2016

Y1 - 2016

N2 - This paper proposed a Space-Optimized Scatter Plot Matrix that used for the presentation of multi-dimensional dataset. This technique achieves the display space utilization in a 2D geometrical space. Our strategy is to maximize the utilization of computer space by optimizing the distribution of the plots in a geometrical plane of a display screen; We also apply interact mechanism, user query and visual cues, to support users' communication with variables and the discovery of deeper contents.

AB - This paper proposed a Space-Optimized Scatter Plot Matrix that used for the presentation of multi-dimensional dataset. This technique achieves the display space utilization in a 2D geometrical space. Our strategy is to maximize the utilization of computer space by optimizing the distribution of the plots in a geometrical plane of a display screen; We also apply interact mechanism, user query and visual cues, to support users' communication with variables and the discovery of deeper contents.

KW - information visualization

KW - querying (computer science)

UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:38145

U2 - 10.1007/978-3-319-46771-9_50

DO - 10.1007/978-3-319-46771-9_50

M3 - Conference Paper

SN - 9783319467702

SP - 382

EP - 385

BT - Cooperative Design, Visualization, and Engineering: 13th International Conference, CDVE 2016, Sydney, NSW, Australia, 24-27 October 2016, Proceedings

PB - Springer

T2 - CDVE (Conference)

Y2 - 24 October 2016

ER -

A space optimized scatter plot matrix visualization

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Keywords

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