基于空间和属性数据的联合索引技术

Combined Index Technology Based on Spatial and Attribute Data

传统联合查询通常需要空间数据库对2个索引进行检索,通过集合运算得到最终结果,运算效率较低。针对该缺陷,提出基于空间和属性数据的联合索引技术,在索引目录项中加入属性数据提高联合检索速度。实验结果表明,该技术对于属性与空间位置有较高相关度的数据,具有较高查询效率。

Traditional combined query commonly needs spatial data base retrieval two kinds of indexes,gets the final result through set operation,and the operation efficiency is relatively low.Aiming at this shortage,this paper proposes a combined index technology based on spatial and attribute data,it can enhance combined retrieval speed by adding attribute data in index catalog item.Experimental results show that this technology has higher query efficiency for data,whose attribute and spatial location has high relevance.