Method for comparison and visualized analysis of isomorphic hierarchic data and application

Abstract

The invention discloses a method for comparison and visualized analysis of isomorphic hierarchic data and application, wherein an isomorphic tree in a node-link method is used to express a hierarchic structure; layout is conducted in combination with parallel coordinates; and thus, hierarchic relations of data can be shown, and comparative analysis of the data can also be carried out. The method comprises the steps that preprocessing is conducted to the data, and multiple heterogeneous hierarchic datasets are obtained; based on the multiple heterogeneous hierarchic datasets, isomorphic information is extracted through structural integration and branch subtraction, and the isomorphic tree is established; the layout is conducted to the isomorphic tree by a layout algorithm; and in combination with the isomorphic tree layout and a parallel coordinate system, the hierarchic relations of the data can be shown, and the comparative analysis can be conducted to the data as well. According to the invention, the comparative analysis of an attribute value of each node can be carried out; a maximum value, a minimum value, a distribution mode and changing tendency of an attribute value sequence, relations among attributes and the like are involved; and the method is applicable to visualization of MRL data of multiple countries in a food safety field.

Description

technical field [0001] The invention belongs to the technical field of information visualization, and relates to a comparative visual analysis method of hierarchical data, in particular to a novel parallel coordinate visual analysis method and application established for hierarchical features of isomorphic data, which are used for comparative analysis of isomorphic hierarchical data. Background technique [0002] In different fields, it is often necessary to compare multiple levels of data. Hierarchical data is divided into two types: homogeneous and heterogeneous. Heterogeneity means that some data structures in hierarchical data are not exactly the same. Isomorphism means that all data structures in the hierarchical data are the same. [0003] Pesticide residues are one of the main factors affecting food safety in my country. At present, the maximum pesticide residue limit (MRL) is usually used as the basis for judging the quality and safety of food and agricultural prod...

AI Technical Summary

Problems solved by technology

Parallel coordinates can display multidimensional data well, but it does not perform well in hierarchical data display; node-link method can clearly display hierarchical data, but it is slightly lacking in data comparison

Therefore, the existing visualization methods have shortcomings. On the one hand, when comparing data, they often cannot take into account the hierarchical attributes; on the other hand, the method of visualizing the hierarchical structure alone often cannot intuitively compare the numerical values ​​​​of each node.

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