基于县域的陕西省产业结构演变城市化响应的时空差异分析
发布时间：2019-02-17 12:13
【摘要】：以陕西省县域单元为研究对象,对2003—2012年陕西省各县产业结构演变城市化响应的时空差异进行分析。在时间上采用极差、标准差和变异系数分析了各县城市化响应强度的绝对和相对差异;在空间上,除了分析R变化外,从R(2)和R(3)方面揭示不同产业与城市化过程的关联反映;按照第二、三产业响应强度的组合方式,将陕西省83个县划分为一致响应型、偏响应型R(2)、响应型偏R(3)三类。
[Abstract]:Taking the county unit of Shaanxi Province as the research object, this paper analyzes the temporal and spatial differences of the urbanization response to the evolution of the industrial structure of the counties in Shaanxi Province from 2003 to 2012. The absolute and relative differences of urbanization response intensity in different counties were analyzed by means of extreme deviation, standard deviation and coefficient of variation. In space, in addition to the analysis of R changes, from the R (2) and R (3) aspects of different industries and the urbanization process revealed the correlation between the reflection; According to the combination of the second and third industry response intensity, 83 counties in Shaanxi Province are divided into three types: uniform response type, partial response type R (2), response type partial R (3).
【作者单位】： 西北师范大学地理与环境科学学院;
【基金】：国家自然科学基金项目(编号:40771054) 高等学校博士学科点专项科研基金联合赞助项目(编号:2010620311002) 西北师范大学知识与科技创新团队项目(编号:nwnu-kjcxgc-03-50)
【分类号】：F127;F224
[Abstract]:Taking the county unit of Shaanxi Province as the research object, this paper analyzes the temporal and spatial differences of the urbanization response to the evolution of the industrial structure of the counties in Shaanxi Province from 2003 to 2012. The absolute and relative differences of urbanization response intensity in different counties were analyzed by means of extreme deviation, standard deviation and coefficient of variation. In space, in addition to the analysis of R changes, from the R (2) and R (3) aspects of different industries and the urbanization process revealed the correlation between the reflection; According to the combination of the second and third industry response intensity, 83 counties in Shaanxi Province are divided into three types: uniform response type, partial response type R (2), response type partial R (3).
【作者单位】： 西北师范大学地理与环境科学学院;
【基金】：国家自然科学基金项目(编号:40771054) 高等学校博士学科点专项科研基金联合赞助项目(编号:2010620311002) 西北师范大学知识与科技创新团队项目(编号:nwnu-kjcxgc-03-50)
【分类号】：F127;F224
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