多源地理矢量空间数据融合研究

随着地理信息大数据时代的到来，地理信息与多个行业领域日益深度融合，产生了海量的多源异构数据。多源丰富的空间数据为经济社会发展提供基础支撑作用的同时，其异构性也给数据共享和应用带来了问题与挑战。针对地理空间数据多源、异构、不一致性的现状及特点，本文提出了数据库模式融合与数据库实例融合为一体的多源地理空间数据融合流程与方法，并以基础地理信息、地理国情普查等实例数据进行了分析，为多源空间数据共享与应用提供了解决思路。

Research on multi-source geospatial vector data fusion

With the arrival of the era of geographic information big data, geographic information and multiple industries are increasingly deeply integrated, resulting in a large number of heterogeneous multi-source data.Multi-source and rich spatial data provide basic support for economic and social development, while its heterogeneity also brings problems and challenges to data sharing and application.In view of the current situation and characteristics of multi-source, heterogeneous and inconsistent geospatial data, this paper puts forward the process and method of multi-source geospatial data fusion, which integrates database model fusion and database instance fusion, and analyzes the case data such as fundamental geographic information and national census geography, which provides a solution for multi-source spatial data sharing and application.