基于GIS技术的区域多尺度空间数据集成方法

Regional Multi⁃scale Spatial Data Integration Method Based on GIS Technology

区域多尺度空间数据,其量较大,其来源、格式、特点、性质不同,数据在逻辑上或物理上的有机集中比较困难,容易导致集成路径拥塞,集成效率下降。为此,提出了一种基于GIS技术的区域多尺度空间数据集成方法。利用GIS技术搭建区域多尺度空间数据挖掘架构,结合数据转换矩阵构建多尺度空间数据库。根据多尺度空间数据库中拥塞窗口状态集合,采用不同策略对数据集成路径进行拥塞控制,通过确定理想集成效率而选择多尺度空间数据集成路径。计算不同集成路径上空间数据特征向量之间的紧密度,结合相异度阈值和空间数据权重构建数据集成函数,实现区域多尺度空间数据集成。实验结果表明:所给方法在有、无人工干预的情况下,集成延时分别控制在7 min以内和5 min以内,数据集成效率较高。

As the volume of regional multi⁃scale spatial data is relatively large,with different sources,formats,character⁃istics and properties,the organic concentration of data in logic or physics is relatively difficult,which can easily lead to congestion of integration paths and a decrease in integration efficiency.Hence,a regional multi⁃scale spatial data integration method based on GIS technology was proposed.The mining architecture of regional multi⁃scale spatial data was built by us⁃ing GIS technology,and a multi⁃scale spatial database was constructed by combining the data transformation matrix.Accord⁃ing to the state set of congestion window in multi⁃scale spatial databases,different strategies were used to control conges⁃tion in the data integration path,and the multi⁃scale spatial data integration path was selected by determining the ideal in⁃tegration efficiency.The compactness between spatial data feature vectors on different integration paths was calculated,and the data integration function was constructed by combining the dissimilarity threshold with the spatial data weight to real⁃ize the regional multi⁃scale spatial data integration.The experimental results show that the given method,with and without human intervention,controls the integration delay within 7 minutes and 5 minutes,respectively,resulting in high data inte⁃gration efficiency.