Research on construction of multi-granularity spatio-temporal data model based on BDS
-
摘要: 针对北斗卫星导航系统(BDS)时空数据组织管理过程中数据存储与分析困难的问题,本文面向BDS时空数据,通过分析其数据特征,引入时空粒化思想,从空间粒度、时间粒度、时空粒度三个粒度对BDS时空对象进行多粒度表达.参考面向对象和基态修正模型的方法,建立BDS多粒度时空数据模型的概念模型,提出一种BDS时空对象多粒度表达方法,并实例证明该方法可以实现BDS时空数据的组织与存储.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.
-
Key words:
- BDS /
- model of spatio-temporal data /
- multi-granularity
-
[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.
点击查看大图
计量
- 文章访问数: 427
- HTML全文浏览量: 40
- PDF下载量: 91
- 被引次数: 0