文中运用SPSS 19.0软件确定人均GDP、可支配收入、公路里程数和人口总数四个影响因素,并利用相关软件构建地理加权回归模型,分析我国汽车拥有量和影响因素之间回归关系的空间变化特征。结果表明:可支配收入、人均GDP、人口总数和汽车拥有量呈正相关,公路里程数主要呈负相关,局部正相关;且不同影响因素位于不同的空间区域,对汽车拥有量产生的影响及其程度均不同。
In this paper,SPSS 19. 0 software was used to determine the four influencing factors of per capita GDP,disposable income,highway mileage and population. The geo-weighted regression model was used to analyze the spatial changes of the relationship between automobile ownership and influencing factors feature. The results show that the disposable income,per capita GDP,population and car ownership are positively correlated,the number of highway mileage is mainly negative correlation,local positive correlation; and different factors are located in different spatial regions,the impact of automobile ownership and its The degree is different.