One of the most important algorithms in spatial database is reverse nearest neighbor query.
反向最近邻查询是空间数据库中最重要的算法之一。
The paper presents three methods of spatial queries: spatial Select Query, spatial Joint Query, and Nearest Neighbor Query.
该文还介绍了三种查询方法：空间选择查询、空间连接查询和最近邻居查询。
The nearest neighbor query on the spherical surface has great significance in the nearest neighbor query of the spatial database.
球面上的最近邻查询在空间数据库最近邻查询领域具有重要的意义。
As a concrete application of spatial database, nearest neighbor query of spatial data has attracted more and more attention in reality.
空间数据近邻查询作为空间数据库在现实生活中的具体应用，受到人们越来越多的关注。
We summarize that spatial index system should provides three kinds of spatial query, they are, spatial range query, nearest neighbor query, spatial join query.
本文总结出空间索引系统应提供的三类空间查询：空间范围查询、最近邻居查询、空间连接查询。
Modifying the classical distance metrics definition in nearest neighbor search, it's a beneficial attempt in querying process that research in combining nearest neighbor query with range query.
通过修改经典的最近邻查询中距离度量的定义，将移动对象轨迹上最近邻查询和区域查询结合起来进行研究是查询处理算法上一次有益的尝试。
We propose a continue reverse nearest neighbor(CRNN) query algorithm in road networks, which can return the moving objects influenced by the static query point.
目的在交通网络中实现移动对象的定点CRNN查询监控，确定受到定点影响的移动对象集合。
We propose a continue reverse nearest neighbor(CRNN) query algorithm in road networks, which can return the moving objects influenced by the static query point.
目的在交通网络中实现移动对象的定点CRNN查询监控，确定受到定点影响的移动对象集合。
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