摘要
为了有效管理、组织和利用海量空间数据,解决存储架构与现有空间数据结构不一致的矛盾,在融合国内外各种球面剖分模型优点基础上,设计了一种多级地理空间网格框架。该网格框架以地图分幅划分方式为基础,利用经纬度间隔对全球进行层次性剖分,形成遥感数据、测绘数据及其他空间数据的统一组织框架。通过对网格单元的地址与属性编码,实现空间数据的直接存储和索引,从而完成对空间信息的无缝拼接与多尺度管理。最后阐述了实现地理空间网格框架的关键技术,包括空时一体化技术、计算集群存储技术和空间索引技术等。
In order to effectively implement management,organization and use of huge spatial data to solve not matching between storage architecture and current spatial data structure,the Extended grid based on Mapping Division（EMD） is designed based on advantages of various global subdivision models at home and abroad.This model makes the hierarchical subdivision by longitude and latitude interval based on traditional mapping division way.By encoding every grid cell,the existing spatial data can be directly stored and indexed,thus seamless connection and multi-scale management of spatial information is achieved.Taking EMD model as foundation,GeoID address encoding space is constructed using Hilbert curve.Referring to international,domestic classified standard and encoding criterion,uniform classification structural model is completed using ontology theory to construct GeoID attribute encoding space.Meanwhile,attribute encoding principle and method of spatial data are designed,and the properties of GeoID attribute encoding are analyzed.Finally,key technologies of the geospatial grid framework,which mainly included space-temporal integration,computer cluster storage and spatial index technology,are described in detail.
出处
《地理与地理信息科学》
CSSCI
CSCD
北大核心
2011年第3期1-6,共6页
Geography and Geo-Information Science
