一种基于ThemeRiver模型的非连续层次数据可视化方法

系统仿真学报 ›› 2015, Vol. 27 ›› Issue (10): 2460-2466.

一种基于ThemeRiver模型的非连续层次数据可视化方法

甄远刚, 陈谊, 刘莹, 刘瑞军

北京工商大学食品安全大数据技术北京市重点实验室计算机与信息工程学院,北京 100048

收稿日期:2015-06-14 修回日期:2015-07-24 出版日期:2015-10-08 发布日期:2020-08-07
通讯作者: 陈谊(1963-),女,北京,博士,教授,研究方向为信息可视化与可视分析。
作者简介:甄远刚(1989-),男,河北,硕士生,研究向为信息可视化与可视分析。
基金资助:
“十二五”国家科技支撑计划项目(2012 BAD29B01-2); 国家科技基础性工作专项(2015FY111200)

Discontinuous Hierarchical Data Visualization Method Based on ThemeRiver Model

Zhen Yuangang, Chen Yi, Liu Ying, Liu Ruijun

Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China

Received:2015-06-14 Revised:2015-07-24 Online:2015-10-08 Published:2020-08-07

摘要/Abstract

摘要： 针对传统ThemeRiver模型对非连续数据特征表现支持较差的问题,提出一种改进的非连续数据ThemeRiver可视化方法。对数据点划分时间段分别进行统计,补充新的数据点,构造数据点集,利用高斯模型曲线拟合,经过主题布局排序,颜色选择,标签分布布局成一种具有预测功能且能够展示层次特征的新型主题河流模型。在层次结构上,利用相同颜色序列表示同层次数据。将该方案应用于农残数据中,有助于对一段时间内的农残数据进行有效监测,为农药残留预测预警提供依据。

关键词: 信息可视化, 层次数据, 主题河流, 农残数据, 时间序列

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

中图分类号:

TP391.9

甄远刚, 陈谊, 刘莹, 刘瑞军. 一种基于ThemeRiver模型的非连续层次数据可视化方法[J]. 系统仿真学报, 2015, 27(10): 2460-2466.

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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