多源空间数据间不一致性研究现状及其进展

Research status and advance on multi-source spatial data inconsistency

空间数据质量已成为国际地理信息系统领域的研究热点,近年来G IS空间数据质量的研究已由侧重于位置精度和属性精度转向对空间不一致性的关注和重视。本文在对多源空间数据间不一致性研究已有成果回顾的基础上,就空间数据间不一致性的特征、表达方法、度量方法以及处理方法等几个方面进行了较为详细的分析,提出了一种新的空间线目标间不一致性的度量方法——几何接近度面积度量法,并给出了度量公式及详细的推导过程;最后对多源空间数据间不一致性检测、度量和处理的智能化趋势进行了展望。

Spatial data quality has become a topic research in the international geographic information systems. The focus of GIS spatial data quality research has changed the position accuracy and precision attribute into the multi-sources spatial data inconsistency in recent years. Based on the study results of multi-sources spatial data inconsistencies, spatial data inconsistency such as expression modes, measurement methods and processing strategies was intensively analyzed, and a new measurement method for space inconsistency called measurement methods of geometric adjacency degree based on area computation was proposed in this paper. The detailed measurement formula and derivational process was given. Finally, the prospect of intelligent handling of the multi-sources spatial data inconsistencies was reviewed.