Simulate data from simple model

Simulate data from simple model.

sim_simple(
  node_long,
  node_lat,
  barrier_list = list(),
  barrier_penalty = numeric(),
  barrier_method = 1,
  eccentricity = 0.9,
  n_ell = 20,
  dist_transform = 1,
  lambda = 0.1,
  eps = 0.1
)

Arguments

node_long	longitudes of nodes.
node_lat	latitudes of nodes.
barrier_list	list of polygons representing barriers. Each element of the list must be a dataframe with columns long and lat specifying the coordinates of points that make up the polygon. Polygons must be complete rings, meaning the final row of the dataframe must equal the first row.
barrier_penalty	penalty values of each barrier.
barrier_method	the method by which penalties are applied: bullet 1 compare line, apply penalty on intersection bullet 2 compare line, apply penalty per unit intersection bullet 3 compare ellipse, apply penalty per unit area intersection
eccentricity	eccentricity of ellipses (only used under barrier_method = 3).
n_ell	number of points that make up an ellipse (only used under barrier_method = 3).
dist_transform	the method by which distances are transformed to produce the final statistic: bullet 1 linear bullet 2 exponential decay
lambda	the rate of decay of the exponential function (only used under dist_transform = 2).
eps	the standard deviation of white noise applied to final statistics.