Table 2 A list of the various statistics that can be automatically generated for each candidate

central_drift

The distance that the mean center of the point pattern has moved

displacement_min

The minimum distance that a point was displaced

displacement_max

The maximum distance that a point was displaced

displacement_mean

The mean distance that points were displaced

displacement_med

The median distance that points were displaced

nnd_min_delta

The difference between the minimum nearest-neighbour distance of the original point pattern and the masked point pattern

nnd_max_delta

The difference between the maximum nearest-neighbour distance of the original point pattern and the masked point pattern

nnd_mean_delta

The difference between the mean nearest-neighbour distance of the original point pattern and the masked point pattern

ripley_rmse

The root-mean-square error between the Ripley’s K-test results of original and masked points

k_min

The minimum k-anonymity that was achieved across all points

k_max

The maximum k-anonymity that was achieved across all points

k_mean

The mean k-anonymity that was achieved across all points

k_med

The median k-anonymity that was achieved across all points

k_satisfaction_5

The percent of points that achieved 5-anonymity or greater

k_satisfaction_25

The percent of points that achieved 25-anonymity or greater

k_satisfaction_50

The percent of points that achieved 50-anonymity or greater

execution_time

The amount of time that the masking function took to execute

memory_peak_mb

The maximum amount of additional memory that the masking function itself used