| 1. | Access control model of 2 - d spatial region based on spatial index
基于空间索引的二维空间区域访问控制模型 |
| 2. | R - tree primarily indexes on point and polygon objects . bucketfile only indexes on line objects
基于r树的空间索引结构主要对点对象和面对象进行索引； bucketfile空间索引结构主要对线对象进行索引。 |
| 3. | Spatial index is a indispensable part of spatial database , and can dramatically improve efficiency when doing a spatial query
空间索引作为空间数据库中的重要组成部分，可以加快对空间对象的检索。 |
| 4. | In this paper , we focus on the structure of r - tree and bucketfile , and the algorithm of three kinds of spatial queries
本文重点讨论了r树、 bucketfile两种空间索引的基本结构及三类空间查询在其上的算法实现。 |
| 5. | Aim at the characters of spatial data access control , the concept of spatial region access control based on spatial index was proposed
摘要针对空间数据的访问控制的特点，提出了基于空间索引的区域访问控制概念。 |
| 6. | Presents a spatial index method based on rude grid and object bound and proves its validity and practicability on constructing spatial index . 3
创造性地提出了基于粗分格网的对象范围索引方法，并论证了该方法在建立空间索引方面的有效性和实用性。 |
| 7. | 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。 |
| 8. | Spatial index utilizes some kind of spatial relationship to organize data entries , with each key value seen as a point or region in a multi - dimensional space
空间索引由此应运而生，空间索引主要依靠空间对象之间的邻接性对数据进行组织，它的索引项通常是多维空间下的点或区域。 |
| 9. | By the similarity partition of network traffic usage space , the codebook of vq can describe the network traffic usage profile accurately and achieved the usage space index via the vq
通过相似性划分用户行为空间,矢量量化的码书( codebook )能够精确的描述用户行为模式轮廓,实现了面向异常度量的网络业务量用户行为空间索引。 |
| 10. | Most the databases can support non - structure data ; so both spatial data and attribute data can be stored in database . when spatial data is stored and managed by dbms , it can be indexed , queried and analyzed expediently
这样可以将空间数据和属性数据有机地集成起来，实现有效的存储和管理在此基础上，实现便利的空间索引、查询和各种分析操作。 |
