Extended Data Table 1 Power law estimation

From: Decoupling geographical constraints from human mobility

  1. The table presents information about the estimation of the exponent of the power law. The estimation of the power law is based on a maximum-likelihood estimator as in64. The values of \({x}_{\min }\) and \({x}_{\max }\) are reported in meters. The table reports also the p-values associated with the Kolmogorov-Smirnov test for the power law exponent estimators64. According to64, the suitability of a power law model is considered statistically implausible if the p-value is less than or equal to 0.1. This threshold indicates a less than or equal to 10% probability that the observed deviation of the data from the model predicions is due to random variation alone. Therefore the power-law model is statistically significant if p > 0.1 (in bold).
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