基于过程的空间环境数据模型

Spatial environment data model based on process

针对现有时空数据模型的不足之处,该文在分析空间环境数据特点的基础上,将过程思想引入空间环境数据模型的研究中,将空间环境过程概括为点过程、线过程、面过程和场过程四类过程对象,并以此建立其逻辑模型和物理模型,并给出时空过程插值与聚合、查询和提取等时空分析方法,最后实例验证的结果表明:基于过程的空间环境数据模型可有效组织、管理空间环境数据。

For the deficiencies of the existing spatial and temporal data model, on the basis of the analysis on the characteristics of the spatial environment data, the process idea was introduced to the research of the spatial environment data model in the paper, and the spatial environment processes were outlined as four process object classes, including the point process, the line process, the surface process and the field process, and their logical and physical models were established, then the methods of spatial and temporal process interpolation and aggregation, query and extraction were given. Finally, experimental result showed that the spatial environment data model based on process could effectively organize and manage spatial environment data.