用户标签揭示进出口量:基于标签共现的空间关联性分析  

Import and Export Volume Revealed by User Tags:A Spatial Relatedness Analysis Based on Tag Co-occurrence

作　　者：游想 张双印 费腾[1] YOU Xiang;ZHANG Shuangyin;FEI Teng(School of Resources and Environmental Sciences,Wuhan University,Wuhan 430079,China;State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China)

机构地区：[1]武汉大学资源与环境科学学院,湖北武汉430079 [2]武汉大学测绘遥感信息工程国家重点实验室,湖北武汉430079

出　　处：《测绘地理信息》2022年第3期161-164,共4页Journal of Geomatics

基　　金：国家重点研发计划(2017YFB0503500)。

摘　　要：区域之间的关联强度通常可以通过客流、贸易流、通信流等来衡量,但是这些数据的可获取性往往是不确定的。以用户产生的开放式资料为基础,采用包含3个步骤的方法来估测区域间的关联强度:①将研究区域划分成标准网格;②基于用户标签在研究区域中的分布建立网格之间的关联网络;③调整网络中边的权重来计算区域间关联强度。The relatedness between regions can often be measured by passenger flow,trade flow,communication flow and so on. However,the accessibility of these data is usually uncertain. Based on open data generated by users,we use a 3-step method to estimate the strength of relatedness between regions. Firstly,the study area is divided into grids. Secondly,a related network between the grids is established based on the distribution of user tags in the study area. Thirdly,the relatedness values between regions are calculated by adjusting the edge weights of the network.

关 键 词：Flickr标签 网格 标签共现 区域关联性 进出口量 

分 类 号：P208[天文地球—地图制图学与地理信息工程] F746[天文地球—测绘科学与技术]