城市基础地理信息时空数据变化更新方法  

Updating method of spatiotemporal data in urban fundamental geographic information

作　　者：夏强[1,2] 陶迎春[1,2] 刘芳[3] 

机构地区：[1]北京市测绘设计研究院,北京100038 [2]城市空间信息工程北京市重点实验室,北京100038 [3]中国科学院遥感与数字地球研究所,北京100101

出　　处：《测绘科学》2016年第12期200-205,260,共7页Science of Surveying and Mapping

摘　　要：针对城市基础地理空间数据时空变化更新特点,该文研究了利用空间信息和属性信息进行变量提取和变化更新的方法。通过使用不同年份的基础地理信息矢量数据为研究对象,采用FME空间数据转换处理系统和Python语言,实现了基于FME、基于空间分析和基于质心的3种空间数据变量提取和变化更新解决方案。对各方案变化更新的准确性和完整性进行分析对比,选择出了最优的变量提取和变化更新解决方案。According to the characteristics of spatio-temporal change in urban basic geographic spatial data,the method of variable extraction and change update by using spatial information and attribute information was studied.Taking the vector data of basic geographic information in different years as the research object,three solutions of variable extraction and change update based on FME,spatial analysis and the centroid were given respectively by using FME（feature manipulate engine）and the Python language.The accuracy and integrity of each scheme were analyzed and compared,and the optimal one was selected.

关 键 词：基础地理信息 时空数据 增量提取 变化更新 

分 类 号：P208[天文地球—地图制图学与地理信息工程]