sim_simple: Simulate data from simple model
In mrc-ide/RMAPI: Mapping Averaged Pairwise Information in R

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
)

`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.