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The Spatial Database of the 3D Netowrk Based on Connectivity and Proximity

机译:基于连通性和邻近性的3D网络空间数据库

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摘要

The number of the applications in 3D Network is increasing very fast, but few works have been done in this field. The traditional network is two dimensional and mainly deals with the connectivity of the component. On the other hand, most of the data structures and indexing algorithms are based on proximity. But in 3D network, the connectivity and proximity should be considered at the same time. So there exists a big gap between the data model of traditional network and the current data structures and indexing algorithms. In order to adapt to the 3D network, we define a new data model, discuss the spatial indexes and present a new spatial index that is based on proximity and connectivity, uses the object clipping and bounding methods.
机译:3D网络中的应用程序数量正在迅速增加,但是在该领域中所做的工作很少。传统网络是二维的,主要处理组件的连接性。另一方面,大多数数据结构和索引算法都基于邻近度。但是在3D网络中,应该同时考虑连接性和邻近性。因此,传统网络的数据模型与当前的数据结构和索引算法之间存在很大的差距。为了适应3D网络,我们定义了一个新的数据模型,讨论了空间索引,并提出了一种基于距离和连通性的新空间索引,并使用了对象裁剪和边界方法。

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