Urbanization is a complex process that covers a wide range of topics, of which population, industry and land urbanization are three important aspects. Jilin Province is an important agricultural province in China. The...Urbanization is a complex process that covers a wide range of topics, of which population, industry and land urbanization are three important aspects. Jilin Province is an important agricultural province in China. The contradiction between population, industry and land urbanization is especially prominent here, and its coupling development is of great practical significance. In this paper, the coupling degree of population-industry-land urbanization in Jilin Province in 1990, 2000 and 2010 is measured by coupling mode. The spatial pattern of the coupling degree is analyzed by trend surface analysis and global and local spatial autocorrelation. The influence factors and their spatial differentiation are discussed using multiple linear regression(MLR) model and geographic weighted regression(GWR) model. The results show that: 1) the coupling degree of population-industry-land urbanization in Jilin Province is at a low level. Judging from the change of time scale, the urbanization of most research units is becoming more and more coordinated. From the comparison of spatial scales, there is significant spatial difference in the research units of different administrative levels. 2) Judging from the global change trend, the coupling degree of population-industry-land urbanization in the central region is higher than that in western and eastern regions. The coordination of urbanization in the central region is relatively good, and the distribution of the cold and hot spots is basically the same as that overall. 3) The spatial pattern of the coupling degree is related to the cold and hot spot distribution of the influence coefficient of urban population density and per capita urban construction land. The variation of the coupling degree spatial pattern is synchronous with the spatial change of the urban population density influence coefficient. 4) The degree of agglomeration of the urban population is the main factor promoting the coupling pattern of population-industry-land urbanization in Jilin Province, and the extent 展开更多
1概述多重线性回归（multiple linear regression）用于分析单个因变量和多个自变量之间的线性关系,部分文献又称之为多元线性回归。多重线性回归的数学模型表示为：y=β_0＋β1_x_1＋…＋β_px_p＋ε,其中,y为因变量,x_1,…,x_p为p个...1概述多重线性回归（multiple linear regression）用于分析单个因变量和多个自变量之间的线性关系,部分文献又称之为多元线性回归。多重线性回归的数学模型表示为：y=β_0＋β1_x_1＋…＋β_px_p＋ε,其中,y为因变量,x_1,…,x_p为p个自变量,β_0为常数项,β_1,…,β_p为偏回归系数。ε为随机误差,又称为残差,是y的变化中不能用自变量解释的部分。展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41771172,41001099)
文摘Urbanization is a complex process that covers a wide range of topics, of which population, industry and land urbanization are three important aspects. Jilin Province is an important agricultural province in China. The contradiction between population, industry and land urbanization is especially prominent here, and its coupling development is of great practical significance. In this paper, the coupling degree of population-industry-land urbanization in Jilin Province in 1990, 2000 and 2010 is measured by coupling mode. The spatial pattern of the coupling degree is analyzed by trend surface analysis and global and local spatial autocorrelation. The influence factors and their spatial differentiation are discussed using multiple linear regression(MLR) model and geographic weighted regression(GWR) model. The results show that: 1) the coupling degree of population-industry-land urbanization in Jilin Province is at a low level. Judging from the change of time scale, the urbanization of most research units is becoming more and more coordinated. From the comparison of spatial scales, there is significant spatial difference in the research units of different administrative levels. 2) Judging from the global change trend, the coupling degree of population-industry-land urbanization in the central region is higher than that in western and eastern regions. The coordination of urbanization in the central region is relatively good, and the distribution of the cold and hot spots is basically the same as that overall. 3) The spatial pattern of the coupling degree is related to the cold and hot spot distribution of the influence coefficient of urban population density and per capita urban construction land. The variation of the coupling degree spatial pattern is synchronous with the spatial change of the urban population density influence coefficient. 4) The degree of agglomeration of the urban population is the main factor promoting the coupling pattern of population-industry-land urbanization in Jilin Province, and the extent
文摘1概述多重线性回归（multiple linear regression）用于分析单个因变量和多个自变量之间的线性关系,部分文献又称之为多元线性回归。多重线性回归的数学模型表示为：y=β_0＋β1_x_1＋…＋β_px_p＋ε,其中,y为因变量,x_1,…,x_p为p个自变量,β_0为常数项,β_1,…,β_p为偏回归系数。ε为随机误差,又称为残差,是y的变化中不能用自变量解释的部分。
