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基于空间计量模型的新疆城镇密度时空变化特征分析 被引量:3

Spatial and Temporal Variation Analyses of the Urban Density Based on Spatial Econometrics Model in Xinjiang
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摘要 在定量分析城镇密度的基础上,借助ArcGIS,GEODA和GWR4等空间分析工具,分析2004—2015年新疆城镇密度的空间变化特征及其原因和城镇之间的空间依赖性以及空间异质性.结果表明:2004—2015年,虽然城镇综合密度逐年上升,但总体分布变化不大,其中塔城市由中密度城市变为高密度城市,阿克陶县和托克逊县由低密度变为中密度城镇,鄯善县和木垒哈萨克自治县则由中密度降为低密度城镇.综合来看,热点城镇略有增加,冷点城镇基本保持稳定,这与新疆经济发展较为缓慢有相应的联系,南疆边缘县市经济落后,交通不便,使其增长缓慢,与热点城镇形成巨大差距. By using ArcGIS,GEODA and GWR4 softwares,we performed quantitative analyses on the urban density,focusing on the analysis of cities and towns with the space variation in the density,and analyzed the reasons behind such changes in Xinjiang from the year of 2004 to 2015.Analyses of the spatial dependence and spatial heterogeneity among the towns were also carried out.Our results showed that the urban comprehensive density has been rising monotonically since 2004,but the overall distribution has changed little.City Tacheng was upgraded from the medium density city to a high density city level,Aketao and Tuokexun counties each went up from a low density town to a medium density town level,and Shanshan and Mulei counties were nevertheless downgraded from a medium density town to a low density town level.Overall,during the studied period,hotspot towns enjoyed a slight increase and other towns basically remained stable.The main reason may be the relatively slower economic development in Xinjiang.The backward economy of Nanjiang marginal counties and the transportation inconvenience make its growth become slower than other parts of Xinjiang,and generating the large gap between hotspot towns and other areas.
作者 王慧玲 余丹林 郑江华 WANG Hui-ling;YU Dan-lin;ZHENG Jiang-hua(College of Resources and Environmental Sciences,Xinjiang University,Urumqi 830046,China;Key Laboratory of Smart City and Environment Modeling in Colleges,Xinjiang University,Urumqi 830046,China;College of Social and Population Studies,Renmin University of Chian,Beijing 100872,China;Department of Earth and Environmental Sciences,State University of Montclair,Montclair 07043,USA)
出处 《湖南师范大学自然科学学报》 CAS 北大核心 2018年第5期1-9,共9页 Journal of Natural Science of Hunan Normal University
基金 新青年科技创新人才培养项目(2017)联合资助
关键词 城镇密度 GWR GEODA 空间异质性 新疆 urban density GWR GEODA spatial heterogeneity Xinjiang
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