CAJ | 학술논문

从人口研究中空间自相关的重要性出发,认为人口学家研究空间自相关的传统方法已不适应发展的需求,必须借助空间分析方法进行研究;其次介绍了研究的背景,主要对北京的人口情况进行了相关介绍,介绍了拟采用的分析方法LISA在人口领域的相关应用研究;再次介绍了采用的数据和实验的方法;在上述基础上完成实验,并对结果进行相关分析;最后得出结论,北京市人口呈强的空间正相关分布,政府调控在北京市人口分布中作用明显,贫富差距逐渐增大和海淀区、朝阳区犯罪率高高聚集等问题值得关注.
종인구연구중공간자상관적중요성출발,인위인구학가연구공간자상관적전통방법이불괄응발전적수구,필수차조공간분석방법진행연구;기차개소료연구적배경,주요대북경적인구정황진행료상관개소,개소료의채용적분석방법LISA재인구영역적상관응용연구;재차개소료채용적수거화실험적방법;재상술기출상완성실험,병대결과진행상관분석;최후득출결론,북경시인구정강적공간정상관분포,정부조공재북경시인구분포중작용명현,빈부차거축점증대화해정구、조양구범죄솔고고취집등문제치득관주.
Spatial autocorrelation is widely used in population analysis, the traditional methods no longer meet the needs, and requires the aid of spatial analysis. Firstly, this paper describes the population of Beijing in the relevant, introduces the LISA applied in the field of population, the data and experimental methods; then, completes the experiments based on the above, and analyses the result; finally the conclusion, shows a strong autocorrelation in Beijing' population distribution, and the government plays an important role. The gap between rich and poor gradually increases, the crime rate in Haidian and Chaoyang are high-high aggregation, and the above issues are worth attention.