基于空间自相关的城市化、经济与生态环境协调发展分析——以新疆巴州地区为例
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摘要
以巴州地区9县市为研究对象,选取2002-2012年城市化、经济与环境相关评价指标,通过变异系数法,结合加权求和得到三系统综合得分,结合耦合协调度模型确定9县市的城市化、经济与环境子系统之间的协调度,对巴州地区各县市的协调发展状况进行空间自相关分析,研究三者的空间演化,结论如下:1)城市化、经济、环境三系统均呈现波动前进,巴州地区协调程度逐渐增强,呈现比较明显的上升态势;2)巴州9县市协调程度主要集中于中度协调和低度协调两个类型,表明三者之间的协调度还有很大的发展空间,有待进一步提高;3)城市化、经济与环境协调发展的空间自相关总体上呈正相关、相似性与集聚性向负相关、异质性的趋势发展;4)局部空间自相关的聚类分布发现和硕、博湖、尉犁位于高高区域,结合中心城市库尔勒市的行政地位及其地理位置等优势,发挥辐射带动作用,促进周边城市的发展.
Bavaria region nine counties as the research object, selecting 2002-2012 urbanization, economic and environment-related evaluation, clearance variation coefficient method,combined with the weighted summation of three systems composite score, calculated nine counties urbanization, economic and environmental development coordination degree of coordinated development of regional and city and county Bavaria spatial autocorrelation analysis,spatial evolution of the three, the following conclusions: 1) urbanization, economic, environmental three systems are fluctuated forward, gradually increase the level of coordination Bavaria region, showing obvious upward trend; 2) the degree of coordination counties mainly in the low to moderate degree of coordination and the coordinated development of the two types, indicating the degree of coordination between the three there is still much room for development, to be further improved; 3) urbanization, economic and environmental development of spatial autocorrelation overall positive correlation, similarity and clustering aptitude negatively correlated heterogeneity trends; 4) local spatial autocorrelation clustering distribution discover and master, Bo Lake, located high in the region Yuli, combining administrative center of the city of Korla city status and geographic advantages, play the leading role in promoting the development of the surrounding cities.
Bavaria region nine counties as the research object, selecting 2002-2012 urbanization, economic and environment-related evaluation, clearance variation coefficient method,combined with the weighted summation of three systems composite score, calculated nine counties urbanization, economic and environmental development coordination degree of coordinated development of regional and city and county Bavaria spatial autocorrelation analysis,spatial evolution of the three, the following conclusions: 1) urbanization, economic, environmental three systems are fluctuated forward, gradually increase the level of coordination Bavaria region, showing obvious upward trend; 2) the degree of coordination counties mainly in the low to moderate degree of coordination and the coordinated development of the two types, indicating the degree of coordination between the three there is still much room for development, to be further improved; 3) urbanization, economic and environmental development of spatial autocorrelation overall positive correlation, similarity and clustering aptitude negatively correlated heterogeneity trends; 4) local spatial autocorrelation clustering distribution discover and master, Bo Lake, located high in the region Yuli, combining administrative center of the city of Korla city status and geographic advantages, play the leading role in promoting the development of the surrounding cities.
引文
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[16]路春燕,卫海燕,白俊燕.基于BP神经网络的城市化发展生态环境压力响应研究-以延安市为例[J].干旱区资源与环境,2012, 26(4):61-66.
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[19]万鲁河,王绍巍,陈晓红.基于Geoda的哈大齐工业走廊GDP空间关联性[J].地理研究,2011, 30(6):977-984.
[20]王琦,陈才.产业集群与区域经济空间的耦合度分析[J].地理科学,2008, 28(2):145-149.
[2]刘耀彬,李仁东,宋学锋.中国区域城市化与生态环境耦合的关联分析[J].地理学报,2005, 60(2):237-247.
[3]杨莉,杨德刚,张豫芳等.新疆区域基础设施与经济耦合的关联分析[J].地理科学进展,2009, 28(3):345-352.
[4]韩燕,聂华林.我国城市化水平与区域经济增长差异实证研究[J].城市问题,2012,(4):22-26.
[5]俞路,张善余,韩贵峰.上海市人口分布变动的空间特征分析[J].中国人口资源与环境,2006, 16(5):83-87.
[6]李同升,王霞.陕西省非农人口分布的空间自相关特征分析[J].西北大学学报(自然科学版),2007, 37(6):935-939.
[7]黄木易,程志光.区域城市化与社会经济耦合协调发展度的时空特征分析[J].经济地理,2012, 32(2):77-81.
[8]王辉,苑莹,刘帆等.辽宁省人口、经济与环境协调发展的空间自相关分析[J].人口与发展,2013, 19(3):29-37.
[9]张连均,张晶,侯晓慧等.江苏省人口分布的空间自相关分析[J].首都师范大学学报(自然科学版),2010,31(4):7-10.
[10]黄飞飞,张小林,余华等.基于空间自相关的江苏省县域经济实力空间差异研究[J].人文地理,2009(2):84-89.
[11]吉婷婷.基于空间自相关的江苏省城镇化水平空间格局研究[J].淮阴师范学院学报(自然科学),2011,10(6):503-506.
[12]贺振.基于空间自相关的河南省城镇化水平空间格局研究[J].测绘科学,2010, 35(6):178-179.
[13]吴林雄.基于R和GeoDa软件的云南省人口信息GIS空间统计分析[D].云南大学,2012.
[14]陈彦光.基于Moran统计量的空间自相关理论发展和方法改进[J].地理研究,2009, 28(6):1449-1462.
[15]李丁,李平安,王鹏.基于ESDA的甘肃省县域经济空间差异分析[J].干旱区资源与环境,2009, 23(12):1-5.
[16]路春燕,卫海燕,白俊燕.基于BP神经网络的城市化发展生态环境压力响应研究-以延安市为例[J].干旱区资源与环境,2012, 26(4):61-66.
[17]袁榴燕,杨改河,冯永忠.干旱区生态与经济系统耦合发展模式评判-以新疆为例[J].西北农林科技大学学报(自然科学版),2007, 35(11):41-47.
[18]孙平军,丁四保,修春亮等.东北地区“人口-经济-空间”城市化协调性研究[J].地理科学,2012, 32(4):450-457.
[19]万鲁河,王绍巍,陈晓红.基于Geoda的哈大齐工业走廊GDP空间关联性[J].地理研究,2011, 30(6):977-984.
[20]王琦,陈才.产业集群与区域经济空间的耦合度分析[J].地理科学,2008, 28(2):145-149.
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