利用视距进行多源空间数据尺度集成

Spatial Scale Integration Method Based on Stadia

多源空间数据尺度集成是将不同类型的数据在空间尺度上集成统一的过程,是空间数据集成的研究难题之一。针对多源空间数据尺度集成问题,在自然法则的基础上,提出将视距作为空间尺度集成的标准,并深入探索了视距与比率尺度、级别尺度的转换方法,并以"对象-空间形态-样式"3层数据结构管理存储多尺度集成数据。实验结果表明:①以视距作为多源数据空间尺度集成的标准是符合认知规律的;②利用视距进行多源空间数据尺度集成是解决多主题、多尺度GIS数据集成与管理的有效方法;③多源数据空间尺度集成是一个综合性的问题,还需要空间尺度转换、多尺度空间数据索引等关键技术的支撑。

Spatial scale integration, the process of integrating different types of data on spatial scale, is one of the core issues in multi-scale GIS research. In order to solve this question, this paper proposes a method which takes the stadia as a measurement of object space scale on the basis of natural principle. The conversion methods between stadia, ratio scale and level scale are also discussed. The"object-form-style" threetier data structure is used to manage and store multi-scale integrated data. The research vesult shows that:① Taking the stadia as a measurement of space scale is in accordance with the cognitive pattern;② spatial scale integration based on stadia is an effective method to solve GIS data model assimilation;③ the integration and application of spatial scale is a comprehensive problem, which needs the support of key technologies such as spatial scale transformation, multi-scale storage structure, etc.