用于普适WebGIS多尺度覆盖景观地图的高速索引（英文）  

A high-speed index for the multi-scale overlay landscape map on ubiquitous WebGIS

作　　者：吕智涵[1,2] 钟晨 冯良炳[1] 陈前[1] 冯圣中[1] 

机构地区：[1]中国科学院深圳先进技术研究院,深圳518055 [2]瑞典于默奥大学应用物理与电子系 [3]苏黎世联邦理工大学与新加坡未来城市实验室

出　　处：《深圳大学学报（理工版）》2013年第5期480-485,共6页Journal of Shenzhen University(Science and Engineering)

基　　金：National Natural Science Foundation of China(61070147);Shenzhen Scientific&Research Development Foundation(JC201105190951A)~~

摘　　要：为解决当前数据结构无法支持普适WebGIS多尺寸覆盖景观地图高速数据表达问题,研究一种高速数据索引结构.分析生成高速索引的必要性,阐述索引结构数据生成算法,讨论支持管理景观地图数据的可能性.以本索引结构实现的对比试验进行评估.结果显示,该索引结构具备对基于金字塔分割规则的区域分割四叉树变形获取主树结构,子树结构支持景观地图数据叠加,以树的深度反应空间分辨率改变,所有树节点时空间对象的容器等特性,可有效表达WebGIS中海量景观地图数据.该结果已用于WebGIS中城市景观地图及手机上的校园景观地图.A high-speed data structure is researched to solve the problem that existing data structure can not support the multi-scale representation of landscape map data on ubiquitous WebGIS. The necessity of the index is analyzed, the algorithm presented, the possibility of supporting landscape map disscussed. In this index, the main tree is ob- tained from the deformation of the index structure of region quadtree partitioned on the basis of the rule of pyramid structure; a sub-tree structure supports the overlap of landscape map data. The index reflects the changes in spatial resolution according to the depth of the tree. All the nodes of the tree are containers of spatial object. For evalua- tion, comparative experiments are implemented using our index structure, the result shows that this index method can represent massive landscape map data effectively in WebGIS. The structure has been used in city landscape map on WebGIS and in campus landscape map on mobile phone.

关 键 词：空间索引 景观地图 虚拟现实技术 WEBGIS 3维 大数据 云计算 多层叠加区域 四叉数算法 

分 类 号：TP37[自动化与计算机技术—计算机系统结构]