This function identifies hexagons with low density based on the mean density
of their neighboring hexagons.
Usage
find_low_dens_hex(model_2d, b1 = 4, benchmark_mean_dens = 0.05)
Arguments
- model_2d
The tibble that contains all hexagonal bin centroids.
- b1
Number of bins along the x-axis for hexagon binning.
- benchmark_mean_dens
A numeric value that contains
Value
A vector containing the IDs of hexagons to be removed after investigating their neighboring bins.
Examples
find_low_dens_hex(model_2d = scurve_model_obj$model_2d, b1 = 5,
benchmark_mean_dens = 0.05)
#> Warning: There are hexagonal bins that don't have any neighbouring bins.
#> [1] 52 53 56 57 69 70 197 200 202 205 222 227 232 258 259
