摘要
以上海市中心城区为实证,在因子分析的基础上将ESDA方法应用于城市社会空间研究。运用全局Mo-ran’sI指数、Moran散点图、LISA等指标和方法,从全局和局部两个层面研究了城市社会空间主因子的空间关联特征。结果表明,各主因子都存在显著的空间正相关,呈现趋同集聚,其中社会经济地位因子和居住条件因子的相关性明显强于其他因子,相近社会经济地位和居住条件的社会群体在空间上的集聚对形成城市社会空间的作用更为显著;各主因子都存在不同于全局的局部空间关联模式,存在显著的"热点"和"冷点"地区,其中社会经济地位因子和居住条件因子呈现出更为明显的"热点"和"冷点",具有显著的"同质集聚、异质隔离"特征。相关研究结论对于理解城市社会空间的形成具有重要意义,也可为进一步深入研究的典型案例选择及相关政策制定提供参考。
Spatial association is the essential characteristics of spatial related things and phenomena.Exploratory Spatial Data Analysis （ESDA） provides an effective method to reveal the spatial association.The formation of urban social space and its characteristics make the phenomenon of urban social spatial pattern also show significant spatial association.Based on factor analysis,the ESDA methods were applied to urban social space research with the Central Urban District in Shanghai as a case study.From the global and local dimensions,spatial association characteristic of the main factors of urban social space were revealed,by using the indicators and methods of Global Moran＇s I index,Moran scatter plot and LISA（Local Indicators of Spatial Association）.Global spatial autocorrelation analysis showed that the main factors of urban social space were all with significant spatial association,but there were differences in the degree of spatial association.The factors of socio-economic status and living conditions had stronger spatial association than other factors.Spatial agglomerations of similar socio-economic status and living conditions groups had more prominent contributions to the formation of urban social space.Local spatial autocorrelation analysis demonstrated that the main factors had different local spatial association from the overall pattern,there are obvious ＂hot spots＂ and ＂cold spots＂,and also some spatial ＂outliers＂.The socio-economic status and the residential condition factors show more obvious ＂hot spots＂ and ＂cold spots ＂,which manifested the characteristics of significant ＂homogeneous agglomeration,heterogeneous segregation ＂.
出处
《地理科学》
CSCD
北大核心
2010年第1期22-29,共8页
Scientia Geographica Sinica
基金
国家自然科学基金(40901078
40371038)
江苏省教育厅高校哲学社会科学研究指导项目(08SJD7900048)
江苏省哲学社会科学基金(08EYD022)资助
关键词
空间关联
ESDA
社会空间
上海市
spatial association
ESDA
urban social space
Shanghai
