期刊文献+

新型地理实体数据关键技术研究及应用 被引量:13

Studies on the Key Technologies for New Geographical Entities Data and Their Applications
下载PDF
导出
摘要 在传统的基础测绘数字化成果中,由于地理对象所表达的空间语义与现实社会中的表达方法差异较大,且缺乏全局唯一标识,难以满足快速更新、生命周期管理、多源数据关联和多样的社会化服务等需求。地理实体数据作为一种新型地理信息产品,通过唯一标识、对象化处理和实体关联融合,可望解决上述问题。本文分析了地理实体数据的分类分层、对象编码、对象重构、数据关联和融合处理等关键问题,给出了一种地理实体数据生产的解决方案,结合智慧徐州时空信息云平台建设,实现了基于地理实体数据的行业专题数据汇聚与空间化,为智慧城市专题应用系统建设奠定了基础。 Representation methods for spatial semantics of geographical objects are quite different from their descriptions in realistic society.There is no unique identification code to connect the same geographical objects expressed in spatial semantics and realistic society.This leads to problems for integration of management data in different government department and geographical spatial data based on the traditional fundamental surveying and mapping digital data.And the level of data integration for management data and spatial data is related to the realization of geographical objects quick update,lifecycle management,multi-source data integration,and multiple social services.As a new type of geographic information product,geographical entities data is expected to solute the above problems by attaching the unique identification code for geographical entity objects,processing and integrating geographical entities data in a new object-oriented way.This paper analyzes the key technologies for new geographical entities data processing including classification and layering for geographical entities,geographical entities objects encoding,geographical entities objects reconstruction,data association and fusion processing.A data product solution for geographical entities data is proposed in this paper.Combined with the construction of spatio-temporal information cloud platform of Xuzhou smart city,the aggregation and spatialization of thematic data based on geographic entities data is realized,which will be a foundation for the construction of smart city thematic application system.
作者 尹鹏程 王守东 宋玉兵 张季一 楚亮 YIN Pengcheng;WANG Shoudong;SONG Yubing;ZHANG Jiyi;CHU Liang(Natural Resources and Planning Bureau of Xuzhou,Xuzhou Jiangsu 221018,China;China University of Mining and Technology,Xuzhou Jiangsu 221116,China;Wuda Geoinformatics Company Limited,Wuhan Hubei 430073,China;Jiangsu Province Surveying and Mapping Engineering Institute,Nanjing Jiangsu 210013,China;Nantong University,Nantong Jiangsu 226019,China)
出处 《北京测绘》 2020年第7期881-885,共5页 Beijing Surveying and Mapping
基金 江苏省自然资源科技计划(KJXM2019036)。
关键词 地理实体 多源数据融合 时空数据库 智慧城市 geographical entities multi-source data integration spatio-temporal database smart city
  • 相关文献

参考文献13

二级参考文献66

共引文献137

同被引文献81

引证文献13

二级引证文献38

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部