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首页> 外文会议>International Conference on Geoinformatics;Geoinformatics 2012 >An Underground Space Object-oriented Three-Dimensional Hybrid Spatial Indexing Method
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An Underground Space Object-oriented Three-Dimensional Hybrid Spatial Indexing Method

机译：地下空间面向对象的三维混合空间索引方法

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In order to improve the efficiency of three-dimensional topological operations and specialized geographical model calculation, the efficient index mechanism to three-dimensional data is necessary. Taking into account of the underground space, the extending space of physical objects in the horizontal direction is far larger than the vertical direction. Thus, this paper uses a double-index mechanism that the horizontal and vertical indexes are separated to construct the spatial index to the underground space entity objects, and then puts forward an underground space object-oriented three-dimensional spatial data hybrid index mechanism- 3D RR-Tree. The construction, data insertion, queries and delete operations algorithm of the 3D RR-Tree is achieved. And then, the features and performance of 3D RR-Tree are analyzed. The method presented by this paper can satisfy the large-scale data fast scheduling needs of three-dimensional geological models.
机译：为了提高三维拓扑运算效率和专业的地理模型计算效率，高效的三维数据索引机制是必要的。考虑到地下空间，物理对象在水平方向上的扩展空间远大于垂直方向。因此，本文采用将水平和垂直指标分开的双索引机制来构造地下空间实体对象的空间索引，然后提出了一种面向地下空间的面向对象的三维空间数据混合索引机制-3D RR树。实现了3D RR-Tree的构建，数据插入，查询和删除操作算法。然后，分析了3D RR树的特性和性能。本文提出的方法可以满足三维地质模型的大规模数据快速调度需求。

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