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基于GML矢量图层分割的空间数据分布式协同处理的研究

Research of distributed coordinated management of spatial date based on division of GML vector map layer

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【作者】 高波郭朝珍丁善镜

【Author】 GAO Bo, GUO Chao-zhen, DING Shan-jing (College of Mathematics and Computer Science, Fuzhou University, Fuzhou Fujian 350002, China)

【机构】 福州大学数学与计算机科学学院

【摘要】 在对传统集中式的GIS的弊端的研究之上,提出了一种基于地理标识语言(GML)矢量图层分割的空间数据分布式协同处理方式。以GML对空间数据进行建模,利用GML基于XML的特点,对GML文档进行解析,并设计了对GML中空间数据进行分割的算法。同时设计相应的分布式空间数据库和空间元数据库。分布式数据库采用按地域分片的策略,用空间元数据库来协助对空间数据的存储管理和查找定位,设计了全局协同模块处理空间数据的发布和查询处理,用来协同对不同地区的空间数据的存放和获取,并用数据加锁的方式来处理多用户并发。

【Abstract】 This paper researched the disadvantage of the traditional GIS and put forward a distributed coordinated management of spatial date based on division of GML vector map layer. GML was used to model the spatial date. Because GML was based on XML, the GML was parsed with XML technique. The algorithm of the division of the GML spatial date, and the distributed spatial data base and the metadata base were designed. The distributed spatial data base was sorted by regional geographic position, and the spatial metadata base was used to help manage the spatial data base and place the data while looking up data. In addition, the global coordinated module was designed to manage the release and the query of the spatial data, also to coordinate the storage and the getting of the spatial data, and we locked the data in use to deal with the multi-user concurrent.

【基金】 福建省自然科学基金资助项目(A0710007)
  • 【文献出处】 计算机应用 ,Journal of Computer Applications , 编辑部邮箱 ,2009年01期
  • 【分类号】TP311.13
  • 【被引频次】22
  • 【下载频次】266
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