Visual Analysis Method for Comparison and Association of Pesticide Residue Detection Data in Foods

Abstract

Abstract: On the basis of existing researches, after having studied on the national pesticide residue data, a visual analysis method and interactions were proposed to visualize the data from different aspects, which was called Visual Analysis method of Comparisons and Associations(VACA). This method abandoned the visualization method of visualizing association relationships by connecting lines, and used interactions to visualize the associations relationships between two types of hierarchical data, which could avoid the visual clutters. This method also could compare the attributes of two trees with the same structure, such as the pesticide detection in the products of different regions or of the same region and the different time. After doing the user experience and evaluation, this method proves it more efficient and useful.

Key words: pesticide residue data, visual analysis, interaction, association, comparison

CLC Number:

TP391

Feng Yuchao, Chen Yi, Liu Ying, Chen Hongqian. Visual Analysis Method for Comparison and Association of Pesticide Residue Detection Data in Foods[J]. Journal of System Simulation, 2015, 27(10): 2538-2545.

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