地理时空信息的精细化存储方法

摘要

针对GIS时空数据存储过程中海量多源信息无法完整、详细表达的问题,采用语义约束原则将地理空间分解成最小单元---元语义对象进行对象化表达,并对构成元语义对象的几何特征、属性特征等相关信息进行封装,根据 HBase可靠性高、扩展性强、实时读取的存储特点,以HBase平台作为地理时空海量数据存储的载体构建元语义对象的 HBase存储模块的物理结构,提出了一种基于 HBase的地理时空信息精细化存储方法.以城市地理时空信息的存储为例,对基于 HBase的时空信息的精细化抽象、分类、存储等过程进行描述,说明了该方法的可行性.%Aiming at the problem that mass and multi-source information can not be fully expressed in detail in the storage process of GIS spatio-temporal data,the semantic constraint principle is used to decompose the geographical space into the smallest unit (meta semantic object)for the object expression.Then,the geometric features,attribute features,and other related information that constitute the meta semantic objects are encapsulated.According to the characteristics of HBase database,such as high relia-bility,strong expansibility and real-time reading & writing storage,the physical structure of Hbase storage module of meta se-mantic object is constructed based on Hbase platform as the carrier of mass data storage in geographic time and space.A method for precise and detailed storage of geographic spatial-temporal information based on Hbase is proposed.Taking the storage of spa-tio-temporal information of city as an example,this paper describes the process of the refined abstract classification and storage of space-time information based on Hbase,and illustrates the feasibility of this method.