一种针对农残检测数据的时序分组可视化方法

系统仿真学报 ›› 2016, Vol. 28 ›› Issue (10): 2510-2519.

一种针对农残检测数据的时序分组可视化方法

陈红倩¹, 方艺¹, 杨倩玉¹, 李慧², 陈谊¹

1.北京工商大学计算机与信息工程学院食品安全大数据技术北京市重点实验室,北京 100048;
2.北京联合大学管理学院,北京 100101

收稿日期:2016-05-22 修回日期:2016-07-11 出版日期:2016-10-08 发布日期:2020-08-13
作者简介:陈红倩(1982-),男,山东,博士,副教授,研究方向为虚拟现实与可视分析;方艺(1991-),女,安徽,硕士生,研究方向为数据可视化;杨倩玉(1993-),山西,硕士生,研究方向为数据可视化;李慧(通讯作者1983-),山东,博士,讲师,研究方向为数据挖掘与可视化。
基金资助:
北京市自然科学基金(9164028, 4154066)

Temporal Group Visualization Method for Pesticide Residue Detection Data

Chen Hongqian¹, Fang Yi¹, Yang Qianyu¹, Li Hui², Chen Yi¹

1. Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China;
2. College of Management, Beijing Union University, Beijing 100101, China

Received:2016-05-22 Revised:2016-07-11 Online:2016-10-08 Published:2020-08-13

摘要/Abstract

摘要： 针对农残检测数据多统计量的对比展示及安全风险评估需求,提出一种针对农残数据的时序分组可视化方法。基于数据表征意义对数据进行结构分层分组,采用随时间变化的多类堆叠统计图,将多维数据对象分组布局在二维平面空间中。借鉴散点图和气泡图可视化农产品分类属性;借鉴堆积条形图可视化时序采样属性组数据;借鉴堆叠玫瑰图实现对农药检测结果属性组的多属性对比及时间变化。实验结果与食品安全领域专家评价结果显示,所提出的方法能够在可视化结果中一次性表现多种统计量数据,并能实现时间维度上的数据对比。

关键词: 数据可视化, 农残检测数据, 时序数据, 数据对比

Abstract: To show and compare more statistics in pesticide residue detection data, a temporal grouping visualization method was proposed. The method divided data set according to the hierarchy of data meaning. The stacked statistical likely figure was designed to watch data and its trending over time. The multidimensional data objects were grouped in the two-dimensional plane space layout. The scattered bubble charts was introduced to express the classification of agricultural products. Stacked bar graph was adopted to show the sequential sampled attribute data. Multi-fold rose diagram was designed to display comparably the pesticide detection result and its temporal attribute. Experimental results and expert evaluations denote that the proposed method can realize data classification and comparison of multiple attribute display and time change. Data contrast and the trend over time can be realized in addition.

Key words: data visualization, pesticide residues data, temporal data, data comparison

中图分类号:

TP391

陈红倩, 方艺, 杨倩玉, 李慧, 陈谊. 一种针对农残检测数据的时序分组可视化方法[J]. 系统仿真学报, 2016, 28(10): 2510-2519.

Chen Hongqian, Fang Yi, Yang Qianyu, Li Hui, Chen Yi. Temporal Group Visualization Method for Pesticide Residue Detection Data[J]. Journal of System Simulation, 2016, 28(10): 2510-2519.

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