基于复杂网络的辽宁省县域农村居民点空间结构变化分析

发布时间：2018-04-01 10:33

本文选题：土地利用　切入点：整治　出处：《农业工程学报》2017年08期

【摘要】：从省域尺度研究县域农村居民点复杂网络空间结构的时空分异特征有助于实现省域农村居民点空间结构优化。该文运用线点率、度中心性、接近中心势等指标分析3个典型县农村居民点网络节点特征变化,进而分析辽宁省各县市农村居民点网络特征的空间分异格局及其变化。研究结果表明:1)农村居民点网络存在明显的地域差异,受地形影响强烈,台安县形成了联系密切的网状结构而建平县和桓仁县则较为稀疏且存在较多孤立的节点或者孤立的网络集团;2)辽宁省各县市农村居民点网络结构时空差异存在较明显规律,中部平原区农村居民点网络复杂度较高,中心势较高,网络结构逐渐趋于复杂;3)不同的网络指数对农村居民点用地空间布局结构变化的响应程度是不一样的。研究结果能为辽宁省农村居民点空间结构提供科学依据。
[Abstract]:It is helpful to optimize the spatial structure of rural residential area in the province area by studying the spatial structure of the complex network of rural residential area in the county area from the provincial scale.In this paper, the characteristics of rural residential network nodes in three typical counties are analyzed with the index of line point rate, degree centrality and approaching center potential, and the spatial differentiation pattern and changes of rural residential network characteristics of counties and cities in Liaoning Province are analyzed.The results show that there are obvious regional differences in the rural residential network, which are strongly influenced by the topography.Taian County has formed a closely related network structure, while Jianping County and Huanren County are sparse and have more isolated nodes or isolated network groups.The complexity of rural residential network is higher, the center potential is higher, and the network structure tends to be more complex in the central plain.) the response degree of different network index to the change of spatial layout structure of rural residential land is different.The results can provide scientific basis for the spatial structure of rural residential areas in Liaoning Province.
【作者单位】：东华理工大学测绘工程学院;流域生态与地理环境监测国家测绘地理信息局重点实验室;东华理工大学江西省数字国土重点实验室;武汉大学资源与环境科学学院;武汉大学自然科学学报;河南农业大学林学院;
【基金】：东华理工大学江西省数字国土重点实验室开放研究基金资助项目(DLLJ201610);东华理工大学博士启动基金项目(DHBK2015311) 流域生态与地理环境监测国家测绘地理信息局重点实验室资助课题(WE2016018)
【分类号】：C912.82;TU982.29

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