基于夜光遥感和小区POI的住宅发展与经济增长的空间耦合研究

发布时间：2018-01-25 02:54

  本文关键词： 住宅发展 经济增长 空间耦合 夜光遥感 兴趣点　出处：《地球信息科学学报》2017年05期 　论文类型：期刊论文

【摘要】：针对城市住宅业发展与其经济增长之间的单向或双向因果关系问题,有关学者利用宏观统计分析的方法得到了不同的结论。本文通过构建二者的时空数据集,在城市内部微观层面上剖析了二者的耦合联系及其空间差异性,以期在细尺度上解释二者之间的关系。本文选取郑州市作为研究区,提出了一种基于夜光遥感数据的GDP空间化估算方法,进而生成GDP时空数据集;基于住宅小区POI点数据对城市住宅进行空间密度估计,得到住宅小区的时空分布数据集;最后对GDP和住宅建设密度进行了空间互相关分析,探究住宅发展与经济增长像元尺度上的共变趋势。结果表明:与前人的宏观研究论断不同,耦合分析结果显示住宅业发展与经济增长之间的关系在城市内部具有空间差异性,两者既存在相互影响的区域,也存在无相关的区域;耦合协调关系极显著的区域约占两成,且主要位于市属区和县域中心区;耦合不显著和不相关的区域超过七成,大部分位于市属县域。
[Abstract]:A one-way or two-way causal relationship between the problem of city residential development and economic growth, the scholars use the methods of macro statistics analysis to obtain different conclusions. This paper constructs two spatio-temporal data sets, in the city within the micro level analysis of the difference between two and the coupling relationship between the space, in order to explain in fine scale two. This paper selects Zhengzhou city as the study area, GDP presents a luminous space based on remote sensing data estimation method, and then generate GDP spatio-temporal data sets; POI points according to the residential space of city residential density estimation based on the obtained data, temporal and spatial distribution of residential area in the last of the GDP; and residential construction density were analyzed by spatial correlation, explore the residential development and economic growth trend between the pixel scale. The results show that with the previous research on the macro Fault analysis results showed that the different coupling relationship between housing industry development and economic growth with spatial differences in the inner city, which have mutual influence region of both, also exists without related areas; coordination between the coupling region significantly accounted for about 20%, and mainly located in the central district and county municipal district; and no significant coupling not related to the area of more than 70%, mostly in the Municipal County.

【作者单位】： 中国地质大学(武汉)资源学院;
【基金】：江西省省直项目(2014085041) 武汉市第三次全国经济普查项目(2015086013)
【分类号】：F127;F299.27;P237
【正文快照】： 者之间的关系。本文选取郑州市作为研究区,提出了一种基于夜光遥感数据的GDP空间化估算方法,进而生成GDP时空数据集;基于住宅小区POI点数据对城市住宅进行空间密度估计,得到住宅小区的时空分布数据集;最后对GDP和住宅建设密度进行了空间互相关分析,探究住宅发展与经济增长像元，

本文编号：1461789