用户名: 密码: 验证码:
食品安全大数据可视分析方法研究
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:A Survey of Visual Analytical Techniques for Big Data in Food Safety Field
  • 作者:陈谊 ; 刘莹 ; 田帅 ; 范春林 ; 孙悦红
  • 英文作者:Chen Yi;Liu Ying;Tian Shuai;Fan Chunlin;Sun Yuehong;Beijing Key Laboratory of Big Data Technology for Food Safety, School of Computer and Information Engineering, Beijing Technology and Business University;Agricultural Products Safety Research Center, Chinese Academy of Inspection and Quarantine;
  • 关键词:信息可视化 ; 可视分析 ; 食品安全数据 ; 大数据
  • 英文关键词:information visualization;;visual analytics;;food security data;;big data
  • 中文刊名:JSJF
  • 英文刊名:Journal of Computer-Aided Design & Computer Graphics
  • 机构:食品安全大数据技术北京市重点实验室北京工商大学计算机与信息工程学院;中国检验检疫科学研究院农产品安全研究中心;
  • 出版日期:2017-01-15
  • 出版单位:计算机辅助设计与图形学学报
  • 年:2017
  • 期:v.29
  • 基金:“十二五”国家科技支撑计划(2012BAD29B01-2);; 国家科技基础性工作专项(2015FY111200);; 北京市科技计划课题(Z161100001616004)
  • 语种:中文;
  • 页:JSJF201701002
  • 页数:9
  • CN:01
  • ISSN:11-2925/TP
  • 分类号:11-19
摘要
食品安全数据可视分析作为一个新兴交叉研究领域,通过先进的交互式可视化工具帮助食品安全领域人员快速分析数据的分布态势、探寻数据间隐含关联、提升认知和分析能力、提高食品安全监管的科学性和有效性.文中从食品安全数据可视化的必要性和内在需求出发,介绍食品安全数据普遍具有的高维、多元、层次、时空、关联等基本特征,总结梳理了已有适合对食品安全数据的可视化以及可视分析方法和系统,对食品安全大数据可视化及可视分析未来的发展趋势进行了展望.
        As a new interdisciplinary research field, visual analysis techniques for big data on food safety can help field researchers to observe the data distribution trends and explore the implicit relationships among data rapidly through advanced interactive visualization tools. So that it can enhance human's cognitive ability and analysis ability, and improve scientificity and effectiveness of the food safety supervision and management. In this paper, we first introduce the necessity of visualization and analysis requirements of food safety data, then describe the common characteristics of food safety data, such as high dimension, multivariate, hierarchy, geo-temporal and association, gives the survey of the existing visualization and visual analysis techniques and systems that are suitable for food safety data. And last, we give the future development trend of food safety data visualization and visual analytics techniques.
引文
[1]Chen J.Rapid urbanization in China:a real challenge to soil protection and food security[J].Catena,2007,69(1):1-15
    [2]Xu Rigan,Pang Guofang,et al.Current situation,problems and countermeasures of food safety in China[M].Beijing:Science Press,2015(in Chinese)(旭日干,庞国芳,等.中国食品安全现状、问题及对策战略研究[M].北京:科学出版社,2015)
    [3]Mock N,Morrow N,Papendieck A.From complexity to food security decision-support:Novel methods of assessment and their role in enhancing the timeliness and relevance of food and nutrition security information[J].Global Food Security,2013,2(1):41-49
    [4]Viktor Mayer-Sch?nberger.Big data[M].Hangzhou:Zhejiang People's Publishing House,2012(in Chinese)(维克托·迈尔·舍恩伯格.大数据时代[M].杭州:浙江人民出版社,2012)
    [5]Mayer-Sch?nberger V,Cukier K.Big data:a revolution that will transform how we live,work,and think[M].Boston:Houghton Mifflin Harcourt,2013
    [6]Xiao Gexin,Xiao Hui,Liu Yang.Thinking about big data analysis of food safety[J].China Digital Medicine,2014,9(1):4-7(in Chinese)(肖革新,肖辉,刘杨.食品安全大数据分析思考[J].中国数字医学,2014,9(1):4-7)
    [7]Gao Yongchao,Liu Limei,Wang Ding,et al.Data analysis on intelligence information of food safety risk[J].The Food Industry,2015,36(2):222-227(in Chinese)(高永超,刘丽梅,王玎,等.食品安全风险情报类信息数据分析[J].食品工业,2015,36(2):222-227)
    [8]Petran R L.Application of restaurant inspection data analysis to increase assurance of food safety[D].Twin Cities:The University of Minnesota,2012
    [9]Gasaluck P.Microbial and heavy metal contamination monitoring of ready-to-eat food in Nakhon Ratchasima Province[J].International Journal of Food,Nutrition&Public Health,2012,5(1/2/3):213-223
    [10]Zheng Xiaoying,Zhang Dijie.The evaluation of consumers on food safety and the analysis of its influencing factors based on the survey data of fresh food safety in Beijing Chaoyang district[J].Journal of Anhui Agriculture Science.2014,42(1):212-215,218(in Chinese)(郑孝莹,张娣杰.消费者对食品安全评价及其影响因素分析-基于北京市朝阳区生鲜食品安全调研数据[J].安徽农业科学.2014,42(1):212-215,218)
    [11]Mao Zhiying,An Yufa.An empirical study on shopping and food safety of urban consumers in the market of agricultural reforms in China—analysis of data from Beijing market[J].Consumer Economics,2012,28(5):62-65,69(in Chinese)(茆志英,安玉发.都市农改超市场消费者购物及食品安全实证研究—来自北京市场的调研数据分析[J].消费经济,2012,28(5):62-65,69)
    [12]Liang Lanxian,Xie Wenxin,Sun Miao,et al.Sampling data analysis of food quality safety in Shenzhen[J].Mathematical Modeling and Its Applications,2013,2(5-6):55-65,89(in Chinese)(梁兰贤,谢文欣,孙淼,等.深圳市食品质量安全抽检数据分析[J].数学建模及其应用,2013,2(5-6):55-65,89)
    [13]Peng Xiaoli.Research and application of data warehousing for food safety risk analysis[D].Handan:Hebei University of Engineering,2016(彭小丽.数据仓库技术在食品安全风险分析中的研究与应用[D].邯郸:河北工程大学,2016)
    [14]Xu Jianjun,Gao Shengpu.Study on the construction on data analysis system to food safty warning[J].Journal of Chinese Institute of Food Science and Technology,2011,11(2):169-172(in Chinese)(许建军,高胜普.食品安全预警数据分析体系构建研究[J].中国食品学报.2011,11(2):169-172)
    [15]Zhang Debin,Xu Jiapeng,Xu Jianjun,et al.Model for food safety warning based on inspection data and BP neural network[J].Transactions of the CSAE,2010:26(1):221-226(in Chinese)(章德宾,徐家鹏,许建军,等.基于监测数据和BP神经网络的食品安全预警模型[J].农业工程学报,2010:26(1):221-226)
    [16]Xu Shiwei.Agricultural big data and monitoring and early warning of agricultural products[J].Journal of Agricultural Science and Technology,2014(5):14-20(in Chinese)(许世卫.农业大数据与农产品监测预警[J].中国农业科技导报,2014(5):14-20)
    [17]Susan H,Elizabeth H,Paul W,et al.Theme River:visualizing thematic changes in large document collections[J].IEEE Transactions on Visualization&Computer Graphics,2002,8(1):9-20
    [18]Zhen Yuangang,Chen Yi,Liu Ying,et al.Discontinuous hierarchical data visualization method based on Theme River model[J].Journal of System Simulation,2015(10):2460-2474(in Chinese)(甄远刚,陈谊,刘莹,等.一种基于Theme River模型的非连续层次数据可视化方法[J].系统仿真学报,2015(10):2460-2474)
    [19]Lu M,Wang Z C,Liang J,et al.OD-Wheel:visual design to explore OD patterns of a central region[C]//Proceedings of IEEE Pacific Visualization Symposium.Los Alamitos:IEEE Computer Society Press,2015:87-91
    [20]Jiang X R,Zheng C Y,Tian Y,et al.Large-scale taxi O/D visual analytics for understanding metropolitan human movement patterns[J].Journal of Visualization,2015,18(2):185-200
    [21]Konan-Waidhet A B,Dibi B,Kouadio K E,et al.Improving food security using GIS database for mechanized rice farms management in north-western Cote d’Ivoire[J].Environmental Engineering and Management Journal,2013,12(1):41-48
    [22]Wilkinson L,Friendly M.The history of the cluster heat map[J].The American Statistician,2009,63(2):179-184
    [23]Chen Yi,Wang Jialiang,Hou Kun.Information visualization techniques based on GIS and their application in pesticide residues data set[J].Journal of System Simulation,2012,24(9):1877-1881(in Chinese)(陈谊,王嘉良,侯堃.基于GIS的信息可视化方法及应用研究[J].系统仿真学报,2012,24(9):1877-1881)
    [24]Fisher D K,Sonka S T,Westgren R E.Visualization and system dynamics modeling of the global appetite for protein[J].Computers and Electronics in Agriculture,2003,38(3):161-174
    [25]Henry N,Fekete J D,Mc Guffin M J.Node Trix:a hybrid visualization of social networks[J].Visualization and Computer Graphics,2007,13(6):1302-1309
    [26]Linsen L,Behrendt S.Linked treemap:a 3D treemap-nodelink layout for visualizing hierarchical structures[J].Computational Statistics,2011,26(4):679-697
    [27]Bisson G,Blanch R.Stacked trees:a new hybrid visualization method[C]//Genny Tortora.The International Working Conference on Advanced Visual Interfaces.New York:ACM Press,2012:709-712
    [28]Chen Wei,Shen Zeqian,Tao Yubo,et al.Data visualization[M].Beijing:Publishing House of Electronics Industry,2013(in Chinese)(陈为,沈则潜,陶煜波,等.数据可视化[M].北京:电子工业出版社,2013)
    [29]John L,Ramana R,Peter P.A focus+context technique based on hyperbolic geometry for visualizing large hierarchies[C]//Proceedings of ACM CHI Conference on Human Facors in Computing Systems,New York:ACM Press,1995:401-408
    [30]Robertson G G,Mackinlay J D,Card S K.Cone Trees:animated 3D visualizations of hierarchical information[C]//Proceedings of SIGCHI Conference on Human Factors in Computing Systems.Los Alamitos:ACM Press,1991:189-194
    [31]Johnson B,Shneiderman B.Tree-maps:a space-filling approach to the visualization of hierarchical information structures[C]//Proceedings of IEEE Conference on Visualization.San Diego:IEEE Computer Society,1991:284-291
    [32]Bruls M,Huizing K,Wijk J J V.Squarified treemaps[C]//Proceedings of the Joint Eurographics and IEEE TVCG Symposium on Visualization.Salt Lake City:IEEE Computer Society Press,2000:33-42
    [33]Shneiderman B,Wattenberg M.Ordered treemap layouts[C]//IEEE Symposium on Information Visualization.Los Alamitos:IEEE Computer Society,2001:73-78
    [34]Stasko J,Catrambone R,Guzdial M,et al.An evaluation of space-filling information visualizations for depicting hierarchical structures[J].International Journal of Human-Computer Studies,2000,53(5):663-694
    [35]Li Zhilong,Chen Yi,Zhao Jianyu,Sun Yuehong.A visualization method based on hyperbolic tree for agricultural products classification information[J].Computer Simulation,2015,32(2):436-440(in Chinese)(李志龙,陈谊,赵建宇,孙悦红.基于双曲树的农产品分类信息可视化方法[J].计算机仿真,2015,32(2),436-440)
    [36]Hu Haiyun,Chen Yi,Zhen Yuangang,et al.A squarified and ordered treemap layout algorithm[J].Journal of ComputerAided Design&Computer Graphics,2014(10):1703-1710(in Chinese)(胡海云,陈谊,甄远刚,等.一种正方化有序树图布局算法[J].计算机辅助设计与图形学学报,2014(10):1703-1710)
    [37]Chen Yi,Zhen Yuangang,Hu Haiyun,et al.Visualization technique for multi-attrbute in hierarchical structure[J].Journal of Software,2016,27(5):1091-1102(in Chinese)(陈谊,甄远刚,胡海云,等.一种层次结构中多维属性的可视化方法[J].软件学报,2016,27(5):1091-1102)
    [38]Inselberg A.The plane with parallel coordinates[J].The Visual Computer,1985,1(2):69-91
    [39]Chen Yi,Li Xiaoxiao,Cai Jinfeng.Visualization of multi-dimensional data based on cluster region[J].Journal of System Simulation,2013,25(10):2418-2423(in Chinese)(陈谊,李潇潇,蔡进峰,等.基于类区间的多维数据可视化方法[J].系统仿真学报,2013,25(10):2418-2423)
    [40]Yuan X R,Guo P H,Xiao H,et al.Scattering points in parallel coordinates[J].IEEE Transactions on Visualization and Computer Graphics,2009,15(6):1001-1008
    [41]Viau C,Mc Guffin M J,Chiricota Y,et al.The flowvizmenu and parallel scatterplot matrix:Hybrid multidimensional visualizations for network exploration[J].IEEE Transactions on Visualization and Computer Graphics,2010,16(6):1100-1108
    [42]Lex A,Streit M,Partl C,et al.Comparative analysis of multidimensional,quantitative data[J].IEEE Transactions on Visualization and Computer Graphics,2010,16(6):1027-1035
    [43]Tominski C,Abello J,Schumann H.Axes-based visualizations with radial layouts[C]//Proceedings of ACM Symposium on Applied Computing.New York:ACM Press,2004:1242-1247
    [44]Wolfgang A,Silvia M,Wolfgang M,et al.Visual methods for analyzing time-oriented data[J].IEEE Transactions on Visualization&Computer Graphics,2007,14(1):47-60
    [45]Chen Y,Zhang X,Feng Y,et al.Sunburst with ordered nodes based on hierarchical clustering:a visual analyzing method for associated hierarchical pesticide residue data[J].Journal of Visualization,2015,18(2):237-254
    [46]Martis M M,Zhou R N,Haseneyer G,et al.Reticulate evolution of the rye genome[J].American Society of Plant Biologists.2013,25(10):3685-3698
    [47]Cao N,Gotz D,Sun J M,et al.Solar Map:multifaceted visual analytics for topic exploration[C]//Proceedings of IEEE International Conference on Data Mining.Los Alamitos:IEEE Computer Society Press,2011:101-110
    [48]Chen Yi,Lin Xiaolei,Zhao Yunfang,et al.Sun Map:an associated hierarchical data visualization method based on heatmap and sunburst[J].Journal of Computer-Aided Design&Computer Graphics,2016,28(7):1075-1083(in Chinese)(陈谊,林晓蕾,赵云芳,等.Sun Map:一种基于热图和放射环的关联层次数据可视化方法[J].计算机辅助设计与图形学学报,2016,28(7):1075-1083)
    [49]Li J,Zhang K,Meng Z P.Vismate:Interactive visual analysis of station-based observation data on climate changes[C]//Proceedings of IEEE Conference on Visual Analytics Science and Technology Los Alamitos:IEEE Computer Society Press,2014:133-142

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700