摘要
针对地理标记语言(GML)空间数据的开放、可自我描述以及离散分布等特性,为了从海量GML空间数据中获取有针对性的整合应用,实现对GML空间数据的动态聚合,基于地理简易信息聚合(GeoRSS)标准,提出了面向GML空间数据的聚合映射模型,并设计了四层的集成框架体系结构及其工作流程。依据此体系结构,开发了GML空间数据地理信息聚合原型系统,并进行了相关实验,实现了对GML空间数据的有效聚合,验证了面向GML空间数据的地理信息聚合方法的可行性和聚合模型的可用性。该聚合方法使用户能够快速地从海量GML空间信息数据中获取更有目标性的数据,实现对已有数据的挑选、分析、归类,以及快速更新与整合集成等具体应用。
For implementing dynamic aggregation of dispersive Geography Markup Language （GML） geospatial data, a aggregation mapping model based on GeoRSS standards was proposed considering the openness, self-description and dispersion characteristics of GML. A four-tier integrating framework of prototype architechture and its workflow were generated to utilize the above model to construct the related program. Then a aggregation prototype system was designed and developed for aggregating dispersive GML spatial data according to the system architechture. Based on this prototype system, the related experiments were performed to verify the feasibility of GML geospatial data aggregation, and confirm the correctness and availablity of the model. This prototype can help users to quikly find the GML geospatial data from the massive Geographic Information System （GIS） data, to achieve selection, analysis and classification of the existing data, as well as the instant updating and aggregating integration.
出处
《计算机应用》
CSCD
北大核心
2014年第6期1816-1818,1824,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(41101359
41101358)
南京邮电大学2013年实验室工作研究课题
关键词
地理标记语言
空间聚合
地理空间数据
地理信息聚合
空间数据共享
Geography Markup Language （GML）
spatial aggregation
geospatial data
geographic information aggregation
geospatial data sharing
