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华中师范大学学报(自然科学版)  2019, Vol. 53 Issue (1): 147-153    
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基于自发式地理信息的武汉市城市热点空间分析
林木森, 王道飘, 刘博源, 黎 华
武汉理工大学资源与环境工程学院, 武汉 430070
Analysis of urban hot space in Wuhan based on VGI
LIN Musen, WANG Daopiao, LIU Boyuan, LI Hua
School of Resources and Environmental Engineering, Wuhan University of Technology, Wuhan 430070, China
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摘要 随着中国城市化进程的加快,城市人口比例增加,以城市与人类之间的相互影响、相互作用为研究背景和方向的理论研究,越来越受到相关学者以及城市规划管理部门的关注和重视.选取武汉市武昌区为研究范围,以谷歌地球软件为平台,通过采集公众上传的VGI照片数据,在数据预处理的基础上,运用核密度估计方法绘制城市热点空间分布图,研究市民对城市空间的偏好.基于自发式地理信息(VGI)作为样本数据来源所具有的多时间尺度特征,挖掘在年际和月际变化中城市热点空间格局及其演化趋势.研究表明,武昌区热点空间的分布格局相对稳定.在年际变化中,武汉长江大桥、黄鹤楼、武汉大学珞珈山作为核心热区受到关注度高;以武昌火车站和湖北省博物馆为中心的城市空间热度较高,且在逐年提高中趋于稳定.在月度变化中,武昌区城市热点空间格局在总体上呈现出很强的一致性,但是公众对热区的关注度在年内存在波动,其在9、10月份急剧增长并达到全年顶峰.
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林木森
王道飘
刘博源
黎 华
关键词 VGI数据 数据清洗 核密度估计法 热点空间    
Abstract:With the acceleration of urbanization in China and the growing proportion of urban population, the theoretical research, which was set in and directed at mutual influence and interaction between cities and human beings, had drawn increasing attention and concern from relevant scholars and urban planning administrations. This study was carried out by using Google Maps as a platform, showing the areas surrounding Wuchang District, Wuhan. From the collected and pre-processed Volunteered Geographic Information (VGI) photos that was uploaded by the public, urban hotspot spatial distribution would be drawn in a kernel density estimation manner to explore the public preferences for urban space. Based on the VGI as the source of the sample data with a multi-time scale characteristics, the spatial hotspot pattern and the evolutionary trend in the inter-annual and inter-monthly variation were explored. The result shows that the distribution pattern of hotspots in Wuchang District is relatively stable. Among the inter-annual changes, the Wuhan Yangtze River Bridge, Yellow Crane Tower, and Luojia Mountain in Wuhan University have attracted high attention as the core hotspots; the urban space centered on the Wuhan Railway Station and the Hubei Province Museum has a rather high degree of heat and tends to be stable with year-by-year increase. In the monthly changes, the urban hotspot pattern in Wuchang District shows a strong consistency on the whole, but the public's attention to the hotspots is fluctuating within the year, which sharply increased and reached the peak of the year in September and October.
Key wordsVGI data    data cleaning    KDE    hot space
收稿日期: 2019-01-25     
引用本文:   
林木森,王道飘,刘博源,黎 华. 基于自发式地理信息的武汉市城市热点空间分析[J]. 华中师范大学学报(自然科学版), 2019, 53(1): 147-153.
LIN Musen,WANG Daopiao,LIU Boyuan,LI Hua. Analysis of urban hot space in Wuhan based on VGI. journal1, 2019, 53(1): 147-153.
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https://journal.ccnu.edu.cn/zk/CN/     或     https://journal.ccnu.edu.cn/zk/CN/Y2019/V53/I1/147
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