Visualization technique for multi-attribute in hierarchical structure

Chen, Y; Zhen, YG; Hu, HY; Liang, J; Ma, KL

Visualization technique for multi-attribute in hierarchical structure

Chen, Y Zhen, YG Hu, HY Liang, J

Ma, KL

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Publication Type:: Journal Article
Citation:: Ruan Jian Xue Bao/Journal of Software, 2016, 27 (5), pp. 1091 - 1102
Issue Date:: 2016-05-01

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Field	Value	Language
dc.contributor.author	Chen, Y	en_US
dc.contributor.author	Zhen, YG	en_US
dc.contributor.author	Hu, HY	en_US
dc.contributor.author	Liang, J https://orcid.org/0000-0001-7179-5208	en_US
dc.contributor.author	Ma, KL	en_US
dc.date.issued	2016-05-01	en_US
dc.identifier.citation	Ruan Jian Xue Bao/Journal of Software, 2016, 27 (5), pp. 1091 - 1102	en_US
dc.identifier.issn	1000-9825	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116126
dc.description.abstract	© Copyright 2016, Institute of Software, the Chinese Academy of Sciences. All rights reserved. Nowadays, there is increasing need to analyze the complex data with both hierarchical and multi-attributes in many fields such as food safety, stock market, and network security. The visual analytics appeared in recent years provides a good solution to analyze this kind of data. So far, many visualization methods for multi-dimensional data and hierarchical data, the typical data objects in the field of information visualization, have been presented to solve data analyzing problems effectively. However, the existing solutions can't meet requirements of visual analysis for the complex data with both multi-dimensional and hierarchical attributes. This paper presents a technology named Multi-Coordinate in Treemap (MCT), which combines rectangle treemap and multi-dimensional coordinates techniques. MCT uses treemap created with Squarified and Strip layout algorithm to represent hierarchical structure, uses four edges of treemap's rectangular node as the attribute axis, and through mapping property values to attribute axis, connecting attribute points and fitting curve, to achieve visualization of multi-attribute in hierarchical structure. This work applies MCT technology to visualize pesticide residue detection data and implements the visualization for detecting excessive pesticide residue in fruits and vegetables distributed in each provinces of China. This technology provides an efficient analysis tool for field experts. MCT can also be applied in other fields which require visual analysis of complex data with both hierarchical and multi-attribute.	en_US
dc.relation.ispartof	Ruan Jian Xue Bao/Journal of Software	en_US
dc.relation.isbasedon	10.13328/j.cnki.jos.004956	en_US
dc.title	Visualization technique for multi-attribute in hierarchical structure	en_US
dc.type	Journal Article
utslib.citation.volume	5	en_US
utslib.citation.volume	27	en_US
utslib.for	0803 Computer Software	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access
pubs.issue	5	en_US
pubs.publication-status	Published	en_US
pubs.volume	27	en_US

Abstract:

© Copyright 2016, Institute of Software, the Chinese Academy of Sciences. All rights reserved. Nowadays, there is increasing need to analyze the complex data with both hierarchical and multi-attributes in many fields such as food safety, stock market, and network security. The visual analytics appeared in recent years provides a good solution to analyze this kind of data. So far, many visualization methods for multi-dimensional data and hierarchical data, the typical data objects in the field of information visualization, have been presented to solve data analyzing problems effectively. However, the existing solutions can't meet requirements of visual analysis for the complex data with both multi-dimensional and hierarchical attributes. This paper presents a technology named Multi-Coordinate in Treemap (MCT), which combines rectangle treemap and multi-dimensional coordinates techniques. MCT uses treemap created with Squarified and Strip layout algorithm to represent hierarchical structure, uses four edges of treemap's rectangular node as the attribute axis, and through mapping property values to attribute axis, connecting attribute points and fitting curve, to achieve visualization of multi-attribute in hierarchical structure. This work applies MCT technology to visualize pesticide residue detection data and implements the visualization for detecting excessive pesticide residue in fruits and vegetables distributed in each provinces of China. This technology provides an efficient analysis tool for field experts. MCT can also be applied in other fields which require visual analysis of complex data with both hierarchical and multi-attribute.

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http://hdl.handle.net/10453/116126