Multiway spatial join is the spatial join query which concern several spatial relations.
空间多路连接是涉及多个空间关系的连接查询。
Spatial join is one of the most complex and time-consuming operations in spatial database systems.
空间连接运算是空间数据库中的一种基本操作，但它也是最复杂、最耗时的操作之一。
As a slightly more sophisticated example, here is a query involving a spatial join, that is, a join where the join predicate is a spatial function.
作为一个稍微复杂些的示例，下面给出一个涉及空间联结(即其中的联结谓词是空间函数的联结)的查询。
The contributions of this paper are as the followings:(1) A simple spatial join algorithm is constructed by the single point query for spatiotemporal datasets.
利用时空数据集的单点查询方法，组成了一种比较朴素的时空连接的算法。
If replication is not possible, you can still populate an associated spatial table using the nickname as the source, and join the two in a combined view.
如果不可能设置复制，那么仍然可以使用昵称作为源来填充相关联的空间表，并在组合视图中联结这两者。
Distance join is widely used in spatial database. Selectivity estimation for distance join is the basis of optimizing the query of the distance.
距离连接在空间数据库中有着广泛的应用，而距离连接的选择度估计是优化距离查询的基础。
Distance join is widely used in spatial database. Selectivity estimation for distance join is the basis of optimizing the query of the distance.
距离连接在空间数据库中有着广泛的应用，而距离连接的选择度估计是优化距离查询的基础。
应用推荐