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Topological Consistency for Collapse Operation in Multi-scale Databases

机译:多尺度数据库崩溃操作的拓扑一致性

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摘要

When we derive multi-scale databases from a source spatial database, the geometries and topological relations, which are a kind of constraints defined explicitly or implicitly in the source database, are transformed. It means that the derived databases should be checked to see if or not the constraints are respected during a derivation process. In this paper, we focus on the topological consistency between the source and derived databases, which is one of the important constraints to respect. In particular, we deal with the method of assessment of topological consistency, when 2-dimensional objects are collapsed to 1-dimensional ones. We introduce 8 topological relations between 2-dimensional objects and 19 topological relations between 1-dimensional and 2-dimensional objects. Then we propose four different strategies to convert the 8 topological relations in the source database to the 19 topological relations in the target database. A case study shows that these strategies guarantee the topological consistency between multi-scale databases.
机译:当我们从源空间数据库派生多尺度数据库时,对几何和拓扑关系(即在源数据库中显式或隐式定义的一种约束)进行了转换。这意味着应该检查派生数据库,以查看在派生过程中是否遵守约束。在本文中,我们关注源数据库和派生数据库之间的拓扑一致性,这是需要遵守的重要约束之一。尤其是,当二维对象折叠为一维对象时,我们使用拓扑一致性评估方法。我们介绍了2维对象之间的8种拓扑关系以及1维对象和2维对象之间的19种拓扑关系。然后,我们提出了四种不同的策略来将源数据库中的8种拓扑关系转换为目标数据库中的19种拓扑关系。案例研究表明,这些策略可确保多规模数据库之间的拓扑一致性。

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