GNSS World of China

Volume 44 Issue 6
Dec.  2019
Turn off MathJax
Article Contents
Article Navigation >  GNSS World of China  > 2019  >  44(6): 1-6
DENG Chao, WANG Lei, ZHANG Bingchuan, JIA Bao. Research on construction of multi-granularity spatio-temporal data model based on BDS[J]. GNSS World of China, 2019, 44(6): 1-6. doi: DOI:10.13442/j.gnss.1008-9268.2019.06.001
Citation: DENG Chao, WANG Lei, ZHANG Bingchuan, JIA Bao. Research on construction of multi-granularity spatio-temporal data model based on BDS[J]. GNSS World of China, 2019, 44(6): 1-6. doi: DOI:10.13442/j.gnss.1008-9268.2019.06.001
shu

Research on construction of multi-granularity spatio-temporal data model based on BDS

doi: DOI:10.13442/j.gnss.1008-9268.2019.06.001
  • 1.

    PLA Strategic Support Force Information Engineering University,Zhengzhou 450001,China

  • 2.

    The Chinese People's Armed Police Force ZheJiang Crops,Hangzhou 310016,China

  • 3.

    Henan Institute of Surveying and Mapping, Zhengzhou 450003, China

  • Publish Date: 2019-12-15
    Abstract
  • Focus on the difficulty of storing and analyzing in the process of organizing and managing spatio-temporal data of BDS,this paper selects spatio-temporal data of BDS as the research object and analyses its characteristics. Idea of space-time granulation is introduced to express it from three granularities: space-granularity, time granularity and space-time granularity. According to the method of Object-Oriented and Modified models of Ground State, the conceptual model of multi-granularity spatio-temporal data of BDS are given.A method to construct multi-granularity spatio-temporal data model based on BDS is proposesed. One example proves that this method can realize the organization and management of spatial-temporal data of BDS.

     

    • FullText(HTML)
  • loading
    • References(23)
  • [1]
    ANDERSON T L.Modeling time at the conceptual level［C］／／Proceedings of the International Conference on Databases: Improving Usability and Responsiveness. Israel,Academic Press,New York,1982:273-297.
    [2]
    PUPPO E,DETTORI G. Towards a formal model for multiresolution spatial maps［C］／／International Symposium on Spatial Databases, SSD.1995:152-169.DOI: 10.1007/3-540-60159-7-10.
    [3]
    KATRI V,RAM S,SNODGRASS R T,et al.Supporting user defined granularities and indeterminacy in a spatiotemporal conceptual model［J］. Special Issues of Annals of Mathematics and Artificial Intelligence,2002,36(1-2):195-232.DOI: 10.1023/A:1015868307494.
    [4]
    CAMOSSI E,BERTOLOTTO M,BERTINO E,et al.A multi-granular spatiotemporal data model ［C］／／Proc.of 11th International Symposium on Advances in Geographic Information Systems.(ACM GIS2003),New Orleans, Louisiana, 2003:94-101.DOI：10.1145/956676.956689.
    [5]
    CAMOSSI E, BERTOLOTTO M, BERTINO E.A multi-granular object-oriented framework supporting spatio-temporal granularity conversions. International Journal of Geographical Information Science.[JP4]2006, 20(5):500-534.DOI: 10.1080/13658810600607451.
    [6]
    BETINO E,CUADRA D,MARTINEZ P.An object-relational approach to the representation of multi-granular spatio-temporal data［C］／／International Conference on Anvancel Information System Engineering, CaiSE 2005, 2005, 3520:119-134. DOI: 10.1007/11431855-10.
    [7]
    许瑶.对于线状地理特征空间关系的自然语言理解［J］.地球信息科学,2008,10(3):363-369.
    [8]
    杜清运.空间信息的结构、表达及其理解机制［J］.武汉大学学报（信息科学版）.1998，23(4)：388-393.
    [9]
    王生生,刘大有.多粒度时空数据库［C］//第二十一届中国数据库学术会议论文集,2004.
    [10]
    李阳东,韩震,童小华.一种顾及多粒度的时空数据模型［J］.计算机科学,2009,36(4B):338-342.
    [11]
    王珂,李景文,徐跃跃,等.基于多粒度的交通时空数据组织方法［J］.测绘与空间地理信息,2015,38(12):55-56，60.
    [12]
    王珂,李景文,徐跃跃.基于多粒度的时空数据模型构建研究［J］.测绘与空间地理信息,2015，38(11):74-77.
    [13]
    龙际梦,蔡中祥,刘宏建,等.国际组织时空数据模型的设计与实现［J］.测绘与空间地理信息,2016，39(4):46-49.
    [14]
    龙际梦,蔡中祥,刘宏建,等.基态修正时空数据模型的优化研究［J］.测绘与空间地理信息,2016，39(5):58-60，64.
    [15]
    吕楠,周颂,王文靖,等.基于地理特征的CAGIS时空数据模型构建方法［J］.测绘与空间地理信息,2015，38(12):44-45，51.
    [16]
    陈新保,LI S N,李黎,等.基于对象事件过程的时空数据模型及其应用［J］.地理与地理信息科学,2013，29(3):10-16.
    [17]
    朱幼平. 用北斗构建一带一路时空大数据［J］. 财经界, 2017(16):31-34.
    [18]
    曹冲. 北斗产业引领中国的大数据时代［J］. 数字通信世界, 2013(8):8-9.
    [19]
    王先生,刘大有.多粒度时空数据库［J］.计算机研究与发展,2004(41):188-192.
    [20]
    李志飞, 吴静. 多粒度建模方法分析及实例研究［J］. 中国电子科学研究院学报, 2011，6(1):72-76.
    [21]
    华一新, 周成虎. 面向全空间信息系统的多粒度时空对象数据模型描述框架［J］. 地球信息科学学报, 2017，19(9):1142-1149.
    [22]
    ZI T, KUMAR M, KIELY G, et al. Simulating the spatio-temporal dynamics of soil erosion,deposition,and yield using a coupled sediment dynamics and 3D distributed hydrologic model［J］. Environmental Modelling ＆ Software, 2016（83）:310-325.DOI：10.1016/j.envsoft.2016.06.004.
    [23]
    FEMNANDEZ-A VILES G, MONTERO J. Spatio-temporal modeling of financial maps from a joint multidimensional scaling-geostatistical perspective［J］. Expert Systems with Applications, 2016(60):280-293.DOI: 10.1016/j.eswa.2016.05.008.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (427) PDF downloads(91) Cited by()
    Proportional views
    Related

    Copyright © 2009《 GNSS World of China 》 Editorial Office

    Address：84 Jianshe Dong Lu, Muye District, Xinxiang City, Henan Province, ChinaChina Pos：453000Tel：0373-3712411Fax：0373-3052232Email：qqdwxt@126.com

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return