基于多尺度的中部地区经济发展空间相关性分析
发布时间：2018-11-24 20:37
【摘要】：经济发展的空间相关性和经济差异一样越来越受到社会各界的关注,不管是国外还是在国内该方面的研究都取得了显著的成就：国外致力于空间相关性方法的研究而国内则致力于空间自相关分析方法的创新与应用。国内外在空间相关性的研究中在空间尺度上多集中于单一空间尺度的分析,而对于空间权重矩阵也多选择单一的权重矩阵,一般以邻接空间权重矩阵居多。本文以中部地区为研究对象,选取了地级市和县级双重尺度,同时选择了邻接矩阵和距离矩阵对中部地区经济发展进行了空间相关性分析。 本文选取了1990年-2010年的中部地区人均GDP数据进行了双重尺度和双重空间权重矩阵的全局空间相关性分析和局部空间相关性分析。而分析的结果表明：基于邻接矩阵和距离矩阵的地级市尺度经济发展呈现全局正相关一全局负相关一全局正相关的趋势,其中地级市尺度中基于距离矩阵的全局Moran指数变化比基于邻接矩阵的全局Moran指数变化大,而基于邻接矩阵和基于距离矩阵的县级尺度经济发展存在空间正相关,而且基于距离矩阵的县级尺度经济发展呈高度正相关；而从局部相关性方面看,对于地级市尺度,基于邻接矩阵和基于距离矩阵的局部G指数热点分散且较少,而对于县级尺度,无论是邻接矩阵还是距离矩阵,热点分布集中且主要分布在省会城市周围。而对于冷点分布区基于距离矩阵的局部G指数反映不敏感,而基于邻接矩阵的局部G指数则是反映了冷点区基本上分布于省份交界处和湖南省、江西省部分地区。
[Abstract]:The spatial relevance of economic development, as well as economic differences, has attracted more and more attention from all walks of life. Both at home and abroad, great achievements have been made in the research of spatial correlation methods and the innovation and application of spatial autocorrelation analysis methods in China. In the research of spatial correlation at home and abroad, the spatial scale is mostly focused on the analysis of the single spatial scale, and for the spatial weight matrix, a single weight matrix is often chosen, generally the adjacent spatial weight matrix is the majority. In this paper, taking the central region as the research object, we select the city scale and the county level, and select the adjacency matrix and the distance matrix to analyze the spatial correlation of the economic development in the central region. In this paper, the global spatial correlation analysis and local spatial correlation analysis of the double scale and double spatial weight matrices are carried out on the per capita GDP data of the central region from 1990 to 2010. The results of the analysis show that the development of the city scale economy based on the adjacency matrix and the distance matrix shows the trend of global positive correlation, global negative correlation and global positive correlation. The change of global Moran exponent based on distance matrix is greater than that of global Moran index based on adjacent matrix in the city scale, but there is a spatial positive correlation between the adjacent matrix and the development of county scale economy based on distance matrix. And the development of county scale economy based on distance matrix is highly positive correlation; From the point of view of local correlation, the local G index hot spots based on adjacency matrix and distance matrix are scattered and less, but for county scale, whether adjacent matrix or distance matrix, the local G index hot spots are scattered and less, and for county-level scale, whether adjacent matrix or distance matrix, Hot spots are concentrated and mainly distributed around provincial capitals. The local G exponent based on distance matrix is not sensitive to the cold point distribution, while the local G exponent based on the adjoining matrix reflects the distribution of the cold point region at the junction of the provinces and parts of Hunan Province and Jiangxi Province.
【学位授予单位】：南昌大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F129.9
本文编号：2354972
[Abstract]:The spatial relevance of economic development, as well as economic differences, has attracted more and more attention from all walks of life. Both at home and abroad, great achievements have been made in the research of spatial correlation methods and the innovation and application of spatial autocorrelation analysis methods in China. In the research of spatial correlation at home and abroad, the spatial scale is mostly focused on the analysis of the single spatial scale, and for the spatial weight matrix, a single weight matrix is often chosen, generally the adjacent spatial weight matrix is the majority. In this paper, taking the central region as the research object, we select the city scale and the county level, and select the adjacency matrix and the distance matrix to analyze the spatial correlation of the economic development in the central region. In this paper, the global spatial correlation analysis and local spatial correlation analysis of the double scale and double spatial weight matrices are carried out on the per capita GDP data of the central region from 1990 to 2010. The results of the analysis show that the development of the city scale economy based on the adjacency matrix and the distance matrix shows the trend of global positive correlation, global negative correlation and global positive correlation. The change of global Moran exponent based on distance matrix is greater than that of global Moran index based on adjacent matrix in the city scale, but there is a spatial positive correlation between the adjacent matrix and the development of county scale economy based on distance matrix. And the development of county scale economy based on distance matrix is highly positive correlation; From the point of view of local correlation, the local G index hot spots based on adjacency matrix and distance matrix are scattered and less, but for county scale, whether adjacent matrix or distance matrix, the local G index hot spots are scattered and less, and for county-level scale, whether adjacent matrix or distance matrix, Hot spots are concentrated and mainly distributed around provincial capitals. The local G exponent based on distance matrix is not sensitive to the cold point distribution, while the local G exponent based on the adjoining matrix reflects the distribution of the cold point region at the junction of the provinces and parts of Hunan Province and Jiangxi Province.
【学位授予单位】：南昌大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F129.9
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