基于R-tree的多重近似索引研究Research on multi-approximate index based on R-tree
林伟华,伍永刚,谈晓军,余艳,毛典辉
摘要(Abstract)：
本文提出了一种新的索引方法——基于R-tree的多重近似索引,该索引结构既包含实体传统的外部近似也包含其内部近似。在检索时,粗过滤阶段测试实体内部和外部近似,如果内部近似测试为真值就不需要进行详查阶段的处理,从而减少访问磁盘I/O次数而提高检索效率。通过实验验证分析,该索引方法能极大地提高空间数据的检索效率。
关键词(KeyWords)： 空间数据索引;空间数据库;最大内接圆;地理信息系统(GIS)
基金项目(Foundation): 国家自然科学基金资助项目“海量空间数据的多重近似索引方法研究”(40601072)
作者(Author): 林伟华,伍永刚,谈晓军,余艳,毛典辉
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