Visualization Technique for Multi-Attrbute in Hierarchical Structure
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“Twelfth Five Year Plan” National Key Technology R&D Program of China (2012BAD29B01-2); Basic Research Project of the Ministry of Science and Technology of China (2015FY111200); Open Funding Project of the State Key Laboratory of Virtual Reality Technology and Systems (BeiHang University) of China (BUAA-VR-14KF-04)

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    Abstract:

    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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陈谊,甄远刚,胡海云,梁婕,Kwan-Liu MA.一种层次结构中多维属性的可视化方法.软件学报,2016,27(5):1091-1102

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History
  • Received:July 31,2015
  • Revised:September 19,2015
  • Adopted:
  • Online: May 06,2016
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