Table 1.
The datasets of per capita GRP, level of urbanization, and the standardized residuals from linear squares regression of 29 Chinese regions (2012).
Fig 1.
The regression model of the linear relationship between urbanization and economic development of the 29 Chinese regions (2012).
Fig 2.
The normalized scatterplot with a trendline of serial autocorrelation for the relationship between urbanization and economic development of the 29 Chinese regions (2012).
Table 2.
The Durbin-Watson statistics, RCI values, and ARCI values of residual series from linear squares regression of 29 Chinese regions (2000–2012).
Fig 3.
The linear regression of the logistic relationship between urbanization and economic development of the 29 Chinese regions (2012).
Table 3.
The coefficients and goodness of fit of the regression models of the correlation between urbanization and economic development of 29 Chinese regions (2000–2013).
Table 4.
The Durbin-Watson statistics, RCI values, and ARCI values of residual series from linearized logistic models of 29 Chinese regions (2000–2013).
Fig 4.
A flow chart of the two spatial autocorrelation approaches to testing residuals from least squares regression based on spatial random samples.
Table 5.
The relationships between spatial contiguity functions and the definitions of contiguity.