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This function identifies hexagons with low density based on the mean density of their neighboring hexagons.
find_low_dens_hex(model_2d, b1 = 5, benchmark_mean_dens = 0.05)
A vector containing the IDs of hexagons to be removed after investigating their neighboring bins.
The tibble that contains all hexagonal bin centroids.
Number of bins along the x-axis for hexagon binning.
A numeric value that contains
find_low_dens_hex(model_2d = scurve_model_obj$model_2d, b1 = 5, benchmark_mean_dens = 0.05)
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