期刊
JOURNAL OF VISUAL LANGUAGES AND COMPUTING
卷 47, 期 -, 页码 19-30出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jvlc.2018.02.003
关键词
Visual analysis; Hierarchy comparison; Multi-dimensional data; Evaluation metric; MRL standard
资金
- Twelfth Five-Year' National Science and Technology Program [2012BAD29B01-2]
- National Program on Basic Science and Technology Project [2015FY111200]
- Beijing Science and Technology Program [Z151100001615041]
- open funding project of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University [BUAA-VR-17KF-07]
Maximum residue limit (MRL) standard which specifies the highest level of every pesticide residue in different agricultural products plays a critical role in food safety. However, such standards which related to the characteristics of pesticides and the classification of agricultural products which organized into a hierarchical structure are complex and vary widely across different regions or countries. So it is a big challenge to compare multi-regional MRL standard data comprehensively. In this paper, we present a multi-comparable visual analytic approach for complex hierarchical data and a visual analytics system (McVA) to support multiple comparison and evaluation of MRL standard. With a cooperative multi-view visual design, our proposed approach links the hierarchies of MRL datasets and provides the capacity for comparison at different levels and dimensions. We also introduce a metric model for evaluating the completeness and strictness of MRL standards quantitatively. The case study of real problems and the positive feedback from domain experts demonstrate the effectiveness of this approach.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据