highly significantp < 0.01
According to the ordinary least squares (OLS) model fitting results, the two types of variables reached a highly significant level (p < 0.01) and the model fit was good at 90.8% and 78.1%, respectively.
According to the ordinary least squares (OLS) model fitting results, the two types of variables reached a highly significant level (p < 0.01) and the model fit was good at 90.8% and 78.1%, respectively.
The high proportion of foreign workers in the central city leads to a clear trend of younger believers, while rural believers are mostly elderly people that are more affected by aging, indicating that there are large urban-rural differences in the degree of influence of the aging factor on the spatial distribution of Christian places based on generational differences.
The influence of population density on the spatial distribution of Christian places showed an overall trend of decreasing from the core area to the outer circle, indicating that the more inward the circle, the stronger the role of population density.