This function allows you to create fractals of a given noise or pattern generator by calculating it repeatedly at changing frequency and combining the results based on a fractal function.

fracture(noise, fractal, octaves, gain = ~./2, frequency = ~. * 2,
  seed = NULL, ..., fractal_args = list())



The noise function to create a fractal from. Must have a frequency argument.


The fractal function to combine the generated values with. Can be one of the provided ones or a self-made function. If created by hand it must have the following arguments:

  • base: The current noise values

  • new: The new noise values to combine with base

  • strength: The value from gain corresponding to the index of new

  • octave: The index of new

And must return a numeric vector of the same length as new


The number of generated values to combine


The intensity of the generated values at each octave. The interpretation of this is up to the fractal function. Usually the intensity will gradually fall as the frequency increases. Can either be a vector of values or a (lambda) function that returns a new value based on the prior, e.g. ~ . / 2. The default is often a good starting point though e.g. ridged() fractal has been designed with a special gain function.


The frequency to use at each octave. Can either be a vector of values or a function that returns a new value based on the prior. See gain.


A seed for the noise generator. Will be expanded to the number of octaves so each gets a unique seed.


arguments to pass on to generator


Additional arguments to fractal as a named list

See also

ambient comes with a range of build in fractal functions: fbm(), billow(), ridged(), clamped()


grid <- long_grid(seq(1, 10, length.out = 1000), seq(1, 10, length.out = 1000)) # When noise is generated by it's own it doesn't have fractal properties grid$clean_perlin <- gen_perlin(grid$x, grid$y) plot(as.raster(grid, normalise(clean_perlin)))
# Use fracture to apply a fractal algorithm to the noise grid$fractal_perlin <- fracture(gen_perlin, fbm, octaves = 8, x = grid$x, y = grid$y) plot(as.raster(grid, normalise(fractal_perlin)))