Fig. 3
From: Transforming CCTV cameras into NO2 sensors at city scale for adaptive policymaking
The spatial patterns of NO2 and traffic at city-scale. (A) The association between the studied variables relies on Pearson’s correlation. (B) Hot spot analysis using significant Moran’s I z-value (\(P < 0.05\)) to highlight the outliers of NO2 across different hours of the day (the rest of the 24 h are presented in supplementary). (C) Hot spot analysis using significant Moran’s I z-value to highlight the outliers of total flow across different hours of the day. (D) Statistically significant results (\(p<0.05\), \(r^2=0.4\), spatial \(r^2=0.23\),and \(df=88{,}020\)) of the spatial two-stage least-square model, variables are shown based on the sign and weight of their \(\beta\) value.
