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  • 软件名称:一种基于POI大数据的城市核心区识别方法
  • 软件大小: 0.00 B
  • 软件评级: ★★★
  • 开 发 商: 康翔,潘剑君,朱燕香,白浩然,卢晓丽
  • 软件来源: 《遥感技术与应用》
  • 解压密码:www.gissky.net

资源简介

摘要: 城市核心区在城市功能的发挥中扮演着重要的角色,多核心式城市结构已成为一种重要的城市空间模式,但目前对于城市核心区识别研究却较为缺乏,快速而准确地提取城市核心区对于管理者进行精细的管理与规划有重要意义。研究提出一种基于兴趣点大数据(Point of Interest, POI)的城市核心区识别方法,结果发现应用该方法成功识别了案例城市的核心区,提供了其空间范围,对于城市核心区结构也有很好的探测效果。另外,通过相关检验证明了识别结果的合理性与可靠性。与传统研究不同的是,该方法可以提取城市核心区范围,并且方法简洁。研究结果表明:这种基于POI大数据的城市核心区识别方法能准确定位城市核心区位置,为日后城市规划与城市精细管理提供有价值的空间位置参考信息。 关键词: 城市核心区;  POI大数据;  城市多核结构;  城市规划     Abstract: Urban nuclei play a crucial role in conducting urban function, polycentric urban structure have become an important urban spatial model. However, there have few studies about the identification of urban nuclei. Rapid and precise extraction of urban nuclei is significative for urban management and planning. Our research introduced a method for identifying urban nuclei based on point of interest big data. Study indicated that our method successfully identified the urban nuclei in the case city, provided their spatial range, and also showed a fine detection effect on the structure of urban nuclei. In addition, the rationality and reliability of the results were checked through related tests. Different from traditional studies, our method can identify the boundary of urban nuclei, which is also convenience and simple. The results indicated that this urban nuclei identification method based on POI big data can accurately locate the location of urban nuclei, which might provide valuable spatial location reference information for urban planning and precise management in the future.

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