Discontinuous Hierarchical Data Visualization Method Based on ThemeRiver Model

Abstract

Abstract: For traditional ThemeRiver model which has poor performance support to characteristics of discrete data, a kind of visualization method based on improved ThemeRiver model was put forward, which was applied to discontinuous data. All data was put into several time slots and was counted respectively, and new data was added in the time slot which lack data. Gaussian model was adopted to fit curve. After ordering layout, selecting themes' color and arranging the labels, a layout was proposed which has prediction function and can show the hierarchical characteristic. For the hierarchy, the same color family was used to show the same hierarchical data. The solution was applied to pesticide residues data, and the result show that it's helpful for user to monitor pesticide residues in a period of time and the method can provide a basis for forecasting warning of pesticide residue to related people.

Key words: information visualization, hierarchical data, ThemeRiver, pesticide residues data, time series

CLC Number:

TP391.9

Zhen Yuangang, Chen Yi, Liu Ying, Liu Ruijun. Discontinuous Hierarchical Data Visualization Method Based on ThemeRiver Model[J]. Journal of System Simulation, 2015, 27(10): 2460-2466.

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