利用位置签到数据探索城市热点与商圈

众源地理数据（Crowd Sourcing Geographic Data）是指由大众采集并向大众开放共享的地理空间数据。众源位置签到数据作为众源地理数据的一种，客观真实的反映了大众日常生活行为，包含大量丰富的社会化属性信息。本文提出了一种基于众源位置签到数据的城市热点探测与商圈挖掘方法，首先对位置签到数据时空分布特性进行了研究，设计并提出了众源位置签到数据时空数据库模型；其次，提出了位置签到数据探索性空间分析方法，通过对众源位置签到数据的空间聚类分析，实现基于位置签到数据的商圈热点探测；最后，以武汉市为例，对街旁网截止2011年9月30日的众源位置签到数据进行了城市热点探测与商圈挖掘分析实验，结果表明，基于众源位置签到数据挖掘的武汉市商圈分布与城市规划商圈具有强相关性，可用于城市社会经济发展预测与区域经济规划。

Urban Hotspot Detection and Commercial Area Analysis based on Check-in Data Using Exploratory Spatial Data Analysis

Crowd sourcing geographic data is an open source geographic data which is contributed by lots of non-professionals and provided to the public. As a kind of crowd sourcing geographic data, check-in data contains multitudes of social attribute data and reflects people’s activities of daily living objectively and actually. The paper proposes a method of urban commercial area mining and analysis based on check-in data: Firstly, the paper studies the spatio-temporal distribution characteristics of check-in data and designs a spatio-temporal database model for check-in data; Secondly, the paper proposes an exploratory spatial data analysis method of check-in data and achieves commercial hotspot detection based on check-in data by spatial clustering analysis of check-in data; Finally, an experiment of urban commercial mining and analysis with the check-in data obtained from Jiepang by the deadline of September 30, 2011 in Wuhan is designed and implemented. The result shows that the urban commercial area distribution of Wuhan based on check-in data has a high correlation with urban planning and can be used for regional planning of urban society development.