计算机工程与应用2019，Vol.55Issue(9)：190-196,7.DOI:10.3778/j.issn.1002-8331.1801-0488
基于极坐标布局的农残检出倾向性可视分析
Rotational Layout Visualization Method for Orientation Analysis of Pesticide Residue Detection Data
摘要
Abstract
To analyze the propensity of pesticide residues detected data in the field of food safety, a fast visualization and analysis method based on polar coordinates layout is proposed. The method calculates the detection frequency for each pesticide. The pesticide circles are obtained according to statistical results. The position and properties are calculated based on the polar coordinates. The statistical results of agricultural products are mapped into agricultural products shapes. The agricultural products shapes are arranged to emphasize the propensity of its containing pesticide residue based on the polar coordinates. The overlaping problem of agricultural products shapes is reduced by means of shape shifting, fisheye interaction, multi-scale filtering, semi-transparenting and tips labeling. It is denoted by the experimental results and food safety experts that the method can highlight simply and intuitively the propensity of detected pesticides for various agricultural products. The additional attributes can display synchronously in the final visualization results.关键词
农残检测数据/信息可视化/数据分析/倾向性分析/极坐标布局Key words
pesticide residue detection data/ information visualization/ data analysis/ orientation analysis/ polar coordi-nates layout分类
信息技术与安全科学引用本文复制引用
陈红倩,杨倩玉,李慧,陈谊..基于极坐标布局的农残检出倾向性可视分析[J].计算机工程与应用,2019,55(9):190-196,7.基金项目
国家自然科学基金(No.31701517) （No.31701517）
北京市社会科学基金(No.17GLC060) （No.17GLC060）
"十三五"时期北京市属高校高水平教师队伍建设支持计划-青年拔尖人才培育计划(No.CIT&TCD201704039) （No.CIT&TCD201704039）
北京工商大学国家两科基金培育项目(No.LKJJ2017-20) （No.LKJJ2017-20）
北京工商大学科研创新服务能力建设项目(No.PXM2018_014213_000033). （No.PXM2018_014213_000033）
