面向新型测绘的时空数据属性连接及扩展方法研究  

Study on attribute joining and extension approach between spatio-temporal data for new surveying and mapping

作　　者：王育红 刘康晨 WANG Yuhong;LIU Kangchen(School of Geography,Geomatics and Planning,Jiangsu Normal University,Xuzhou 221116,China)

机构地区：[1]江苏师范大学地理测绘与城乡规划学院,江苏徐州221116

出　　处：《测绘通报》2021年第5期5-9,共5页Bulletin of Surveying and Mapping

基　　金：国家自然科学基金(U1304401);江苏省自然科学基金(BK20181474);徐州市重点研发计划项目(KC19134)。

摘　　要：属性连接是整合集成新型测绘多源属性数据、扩展丰富实体信息、促进知识挖掘服务的重要操作和手段。在界定总结连接概念及类型的基础上,本文通过分析,明确了ArcMap现有属性连接工具在连接谓词、连接类型、连接基数等方面的局限。针对这些局限,选用目前流行的AO Addin技术,设计实现了一个属性连接扩展工具条插件——eJoin,详细讨论了该插件的主要功能及实现策略,并利用多种数据对其进行了试验验证。试验表明:该插件能够快速执行一般连接、自连接、m∶n连接、投影连接等操作并完整表达连接结果,为新型测绘时空数据属性连接提供了更加实用、便捷的工具支撑。Attribute joining is an important operation and method to integrate multi-source attribute data from new surveying and mapping, enrich entity information and promote knowledge mining and service. The limitations of ArcMap in join predicate, join type, join cardinality and other aspects are analyzed and explained base on the summary of the concept and type of join. Aiming to these limitations, the popular AO addin technology at present is chosen to design and implement an extended attribute join toolbar, named eJoin. Its interface component elements and function implementation strategies are discussed in detail. Many experiments for testing it have been done using various datasets. The results show that the extended toolbar can efficiently carry out many kinds of join operation between data tables such as general join, self join, m∶n join, projection join, etc., and supplies more practical, convenient, flexible tool supports for attribute joining between spatio-temporal data from new surveying and mapping.

关 键 词：新型测绘 属性连接 ARCMAP 要素类 关系表 Addin 

分 类 号：P208[天文地球—地图制图学与地理信息工程]