PCNL: A Visual Analysis Method for Comparing Homogeneous Hierarchical Data

doi:10.16182/j.issn1004731x.joss.201711015

Abstract

Abstract: 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.

Key words: information visualization, parallel coordinates, homogeneous hierarchical data, MRL standards, food safety

CLC Number:

TP391

Dong Yu, Chen Yi, Sun Yuehong. PCNL: A Visual Analysis Method for Comparing Homogeneous Hierarchical Data[J]. Journal of System Simulation, 2017, 29(11): 2700-2708.

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