基于POI数据的成都市区生活设施空间格局分析
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摘要
基于成都市三环路内高德地图POI等数据,以餐饮购物、休闲娱乐、商务办公、金融服务、医疗教育等5类生活设施兴趣点为研究对象,采用核密度法、Getis-OrdGi*统计指数热点探测及改进的CRITIC权重赋值法等对POI数据进行了可视化、分布热点探测及空间分布相关性分析。研究表明,成都三环路内各类相关生活设施的空间分布、聚集热点区域、配套完善程度均以天府广场为中心呈现成片聚集、按环发散、多中心分布及多主干发展的空间格局。
Based on the POI data of Gaode map within the third ring road in Chengdu, this paper takes five categories of living facilities as the research objects including dining and shopping, leisure and entertainment, business office, financial services, medical treatment&education.This study visualizes the POI data by the kernel density method, explores the hot spot distribution utilizing Getis-OrdGi* statistic method and weights space matching condition with improved CRITIC method.The results show that hot spot distribution and space matching condition of five categories of living facilities in Chengdu urban area and spatial distribution of retevant facitities, take Tianfu Square as the center, cluster into a circle, and develope according to the divergence of the ring, multi center and multi trunk.
Based on the POI data of Gaode map within the third ring road in Chengdu, this paper takes five categories of living facilities as the research objects including dining and shopping, leisure and entertainment, business office, financial services, medical treatment&education.This study visualizes the POI data by the kernel density method, explores the hot spot distribution utilizing Getis-OrdGi* statistic method and weights space matching condition with improved CRITIC method.The results show that hot spot distribution and space matching condition of five categories of living facilities in Chengdu urban area and spatial distribution of retevant facitities, take Tianfu Square as the center, cluster into a circle, and develope according to the divergence of the ring, multi center and multi trunk.
引文
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[17] 孙宗耀,翟秀娟,孙希华,等.基于POI数据的生活设施空间分布及配套情况研究——以济南市内五区为例[J].地理信息世界,2017(1):65-70
[18] Steiner R L.Traditional Shopping Centers[R].University of California Transportation Center Working Papers,California,USA,1998
[2] 陈晨,王法辉,修春亮.长春市商业网点空间分布与交通网络中心性关系研究[J].经济地理,2013(10):40-47
[3] Hollenstein L,Purves R.Exploring Place Through User-Generated Content:Using Flickr to Describe City Cores[J].Journal of Spatial Information Science (JOSIS),2010(1):21-48
[4] Kwan M P.GIS Methods in Time-Geographic Research:Geocomputation and Geovisualization of Human Activity Patterns[J].Geografiska Annaler (Series B:Human Geography),2004,86(4):267-280
[5] 池娇,焦利民,董婷,等.基于POI数据的城市功能区定量识别及其可视化[J].测绘地理信息,2016,41(2):68-73
[6] 陈蔚珊,柳林,梁育填.基于POI数据的广州零售商业中心热点识别与业态集聚特征分析[J].地理研究,2016(4):703-716
[7] 郭洁,吕永强,沈体雁.基于点模式分析的城市空间结构研究——以北京都市区为例[J].经济地理,2015(8):68-74
[8] 张玲.POI的分类标准研究[J].测绘通报,2012(10):82-84
[9] 吴康敏,张虹鸥,王洋,等.广州市多类型商业中心识别与空间模式[J].地理科学进展,2016(8):963-974
[10] 禹文豪,艾廷华,杨敏,等.利用核密度与空间自相关进行城市设施兴趣点分布热点探测[J].武汉大学学报·信息科学版,2016,41(2):221-227
[11] 禹文豪,艾廷华.核密度估计法支持下的网络空间POI点可视化与分析[J].测绘学报,2015,44(1):82-90
[12] 赵阳阳,刘纪平,仇阿根,等.哈尔滨市辖区生产型服务业空间分布模式研究[J].测绘科学,2016,41(5):78-82
[13] 高长春,刘贤赵,李朝奎,等.近20年来中国能源消费碳排放时空格局动态[J].地理科学进展,2016,35(6):747-757
[14] Diakoulaki D,Mavrotas G,Papayannakis L.Determining Objective Weights in Multiple Criteria Problems:The CRITIC Method[J].Computers&Operations Research,1995,22(7):763-770
[15] 漆艳茹.确定指标权重的方法及应用研究[D].沈阳:东北大学,2010
[16] 王昆,宋海洲.三种客观权重赋权法的比较分析[J].技术经济与管理研究,2003(6):48-49
[17] 孙宗耀,翟秀娟,孙希华,等.基于POI数据的生活设施空间分布及配套情况研究——以济南市内五区为例[J].地理信息世界,2017(1):65-70
[18] Steiner R L.Traditional Shopping Centers[R].University of California Transportation Center Working Papers,California,USA,1998