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一种同构层次数据的对比可视分析方法PCNL

PCNL: A Visual Analysis Method for Comparing Homogeneous Hierarchical Data
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摘要 针对不同领域中同构层次数据的对比分析需求,提出了一种同构层次数据的对比可视分析方法PCNL。对多个异构层次数据集进行对比统计,抽取同构信息,用节点-链接法构建同构树;将平行坐标与同构树结合,展示多个同构树中叶子节点的属性值,通过对节点进行布局形成多个同构层次数据的平行坐标可视化表达;通过交互手段可有效的对比分析多个同构层次结构中每个叶子节点的多个属性。将该方法应用于食品安全领域的多国MRL标准数据的对比分析,可帮助用户有效地对比分析多国MRL的总体趋势和细节差异,找出中国MRL标准的问题。 According to the requirements of comparing homogeneous hierarchical data in different fields, a visual analysis method called PCNL is presented in this paper. Homogeneous information is extracted from the multiple levels of the heterogeneous hierarchical data set, and isomorphic node-link trees are constructed. Parallel coordinates are combined with node-link trees, which displays attribute values of leaf nodes in multiple isomorphic trees. Interactive techniques are introduced to help users to compare and analyze multiple attributes of each leaf node in multiplehomogeneous hierarchical structures. Applying this method to compare multi-national MRL data in food safety field can help users to analyze the general trend and detail difference of the multinational MRL effectively, and find out the existing problems of Chinese MRL standards.
出处 《系统仿真学报》 CAS CSCD 北大核心 2017年第11期2700-2708,共9页 Journal of System Simulation
基金 国家科技支撑计划(2012BAD29B01-2) 国家科技基础性工作专项(2015FY111200) 北京市科技计划(Z161100001616004)
关键词 信息可视化 平行坐标 同构层次数据 MRL标准数据 食品安全 information visualization parallel coordinates homogeneous hierarchical data MRL standards food safety
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