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吉林省中部粮食主产区城乡关联的空间分析

期刊名称：地理研究，2010，29（4）：727-736.
时间：0
分类：F299.21[经济管理—国民经济]
作者机构：[1]中国科学院东北地理与农业生态研究所,长春130012, [2]西北大学城市与资源学系,西安710127, [3]东北师范大学城市与环境科学学院,长春130024
相关基金：国家自然科学基金重点项目（40635030）; 东北师范大学校内青年基金（20090604）; 中科院东北地理与农业生态研究所学科前沿领域项目（KZCX3-SW-NA3-19）
相关项目：东北地区矿业城市人地系统脆弱性与可持续性研究

关键词：城乡关联, BP神经网络, ESDA, 粮食主产区, 吉林省中部, urban-rural association, BP neural network, ESDA, the major grain-producing areas, central Jilin Province

中文摘要：

基于24个空间单元的统计数据和实地调查资料,运用BP神经网络模型和ESDA方法,在GIS技术支持下,定量评价吉林省中部粮食主产区城乡关联度,并分析各县域城乡关联状态与空间差异。研究结果表明：（1）区域城乡综合关联Moran’s I指数仅为-0.1205,表明各县域城乡关联呈分散状态;经济、社会和基本建设非均衡发展是制约城乡协调发展的关键因素。（2）区域城乡关联的区域差异明显,地级市辖区城乡关联性显著高于各县（县级市）;经济、社会和基本建设关联性分别呈现＂圈层＂、＂十字型＂和＂块状＂的空间结构。（3）区域城乡关联表现出较弱的集聚趋势。空间差异较小的县域主要沿哈大线呈带状分布,空间差异较大的县主要分布在5个地级市辖区和东南部低山丘陵区;经济、社会和基本建设关联性分别表现为弱扩散、强极化和强扩散状态。

英文摘要：

The central Jilin Province is one of the most important old industrial bases and major grain-producing areas in China,where the urban-rural development has its typical regional background and uniqueness.It is great practical significant and referenced value to promote the coordinated development of urban-rural system and to establish new urban-rural pattern by discussing the associativity and its regional difference of urban-rural areas.Based on statistical data and surveys of 24 spatial units,by the method of BP neural network,ESDA and GIS,the urban-rural association degrees in the major grain-producing areas of central Jilin Province were evaluated quantitatively,and the spatial relationship and regional difference were also analysed in this paper.The results are shown as follows.First,Moran＇s I of urban-rural association is-0.1205,which means the regional urban-rural association presents a weaker diffused trend;and the unbalanced development of economy,society and infrastructure is the key factor restricting the harmonious development of urban-rural relationship.Second,the spatial difference of urban-rural development is obvious,and the associativity of prefecture-level municipal districts are significantly superior to county-level cities,and the relationships of economy,society and infrastructure are demonstrated respectively in the spatial structure of ＂spheres＂,＂cross-type＂ and ＂massive＂.Third,the urban-rural association takes on a weaker accumulated trend as a whole,and lower discrepant regions are mainly distributed along the Harbin-Dalian railway line,but higher discrepant regions are mainly distributed in the low mountains and hills of southeastern regions and the five prefecture-level municipal districts.Moreover,the associativity of economy,society and infrastructure are demonstrating respectively the trend of weaker diffusion,stronger proliferation and stronger diffusion.

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