格网化的位置微博数据抓取与人群信息提取

发布时间：2018-05-13 20:07

本文选题：格网 + 位置微博　；参考：《测绘科学》2017年02期

【摘要】：空间位置信息通常代表了设备使用人群的地理空间活动特征,客观体现人群活动的时空分布。针对现有的微博数据抓取方法由于普通用户的访问限制易导致采集的目标数据缺失的问题,该文提出了一种目标区域空间划分策略。在数据抓取之前对目标区域实行格网化,进而实现数据的同时抓取。通过统计分析基于网格单元抓取的位置微博数据,从中提取出人群活动信息,结合位置微博数据所在的兴趣点类型,统计分析了位置微博用户的时空分布和活动特征。这种方法缩小了采集区域,可实现并行高效的位置微博抓取,并保证了采集范围的重叠,最大限度地保证采集数据的完整性。
[Abstract]:Spatial location information usually represents the characteristics of geo-spatial activities of equipment users and objectively reflects the spatial and temporal distribution of crowd activities. In view of the problem that the existing Weibo data capture methods are easy to lead to the missing of the collected target data due to the limited access of the ordinary users, this paper proposes a spatial partition strategy for the target region. The target area is netted before data capture, and the data capture is realized at the same time. The spatial and temporal distribution and activity characteristics of location Weibo users are analyzed by statistical analysis of location Weibo data which is based on grid cells, and crowd activity information is extracted from it. Combined with the type of interest points of location Weibo data, the spatial and temporal distribution of location Weibo users is analyzed statistically. This method can reduce the acquisition area, realize the parallel and efficient position Weibo capture, ensure the overlap of the acquisition range, and ensure the integrity of the collected data as much as possible.
【作者单位】：陕西师范大学旅游与环境学院;中国科学院地理科学与资源研究所/资源与环境信息系统国家重点实验室;
【基金】：国家自然科学基金项目(41201412,41471414) 特色研究所培育建设服务项目(TSYJS03) 资源与环境信息系统国家重点实验室青年人才培养基金项目(O8R8B640KA)
【分类号】：TP393.092;P208

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