Among the selected economic factors

Among the selected economic factors, the number of floating population and the correlation coefficient of each indicator were large 0. 600, showing significant positive correlation, which shows that the number of floating population and the flow of land to the level of economic development and development speed, industrial structure, and so on are closely related. Among the selected social factors, the number of floating population is positively correlated with each indicator, which shows that the number of employed floating population is closely related to the urbanization level, employment quality, educational medical and health conditions, quality of life and other factors. Through the above analysis, it is clear that the spatial distribution of the floating population has a strong correlation with the selected 7 indicators, but because the variables of each indicator inevitably have a strong collinearity, such as regional per capita GDP and the value added of primary industry, secondary industry value added, the value added of the tertiary industry are more than 0. 600。 Based on the objectivity of the study and in order to reduce the collinearity between the indicator variables, this paper uses the main component analysis method to reduce the dimensions of 7 indicators, in order to summarize the appropriate main components, and then on the basis of the main component analysis of the influence factor analysis.