摘要
食品安全数据可视分析利用前沿的交叉互换方式的可视化工具,是一个正在兴起的交叉科研范围领域。食品安全数据可视分析可以迅速地分析一个数据的形态分布状况,提高分析及认知的能力水平,探索研究数据与数据的隐藏关系,有利于科学有效地加强食品的安全监督。本文通过食品安全数据可视化的必然条件以及内部的需要,介绍了食品安全数据的高维性、关联性、时空性和层次性等特点,发现并找到了针对食品安全数据的可视分析和可视化的方法策略及系统模式,并且展望了食品安全大数据的可视分析和可视化的未来前景。
Visual analysis of food safety data can be used as a visual tool for the use of frontier interchangeability, which is an emerging area of cross-scientific research. It is very quickly when using a form of data distribution, improve the level of analysis and cognition ability, exploring research data and the hidden relationship between data, even is advantageous to the scientific and effective to strengthen food safety supervision. This paper introduces food safety data visualization of the necessary conditions and internal needs, cognitive food safety data generally have higher dimensional, relevance and space-time and hierarchy, and so on some basic characteristics, and found the visual for food safety data analysis and visualization method of strategy level system model, and prospects the food safety of big data visual analysis and visualization of future prospects.
作者
徐佳
魏景利
XuJia, Wei Jingli(Luohe Food Vocational College, Luohe462300, Chin)
出处
《现代食品》
2018年第6期70-72,共3页
Modern Food
关键词
信息可视化
可视分析
食品安全数据
大数据
Information visualization
Visual analysis
Food safety data
Big data
