Vector fields as a framework for modelling the mobility of commodities
Fig 7
(A) Scatter plot of vector magnitudes against spatial lag with a fitted line. (B) To evaluate the significance of the observed pattern, we compared the Moran’s value calculated from the vector field to those from 1000 simulations in which vector magnitudes were randomly shuffled among municipalities. The observed Moran’s value of 0.258 was significantly higher than the simulated values, indicating a non-random spatial structure. (C) The heatmap shows Moran’s values for monthly vector fields across different years. Since no blue shades appear in the heatmap, all calculated Moran’s I values are positive, suggesting positive spatial autocorrelation, meaning that municipalities with high vector magnitudes tend to be located near each other.