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Table 3 Investigating the performance of the null hypothesis randomisation test. Sets of artificial data sets were created using four different approaches

From: Explaining the geographic spread of emerging epidemics: a framework for comparing viral phylogenies and environmental landscape data

  Path model
Approach for creating artificial data sets: straight-line least-cost random walk
 (i) branch durations randomly permutated among branches 6 % 3 % 3 %
 (ii) branch durations equal to spatial distance 0 % 0 % 5 %
 (iii) branch durations equal to environmental “weight” 100 % 100 % 100 %
 (iv) branch durations equal to a value between (ii) and (iii) 95 % 100 % 100 %
  1. In each case, artificial data sets were applied to the “elevation” raster treated as a resistance factor. Values equal the percentage of 100 artificial data sets for which the p-value of the null hypothesis test was < 0.05