This function generates either 2 or 3 dimensional perlin noise, with optional pertubation and fractality. Perlin noise is one of the most well known gradient noise algorithms and have been used extensively as the basis for generating landscapes and textures, as well as within generative art. The algorithm was developed by Ken Perlin in 1983.
noise_perlin(dim, frequency = 0.01, interpolator = "quintic", fractal = "fbm", octaves = 3, lacunarity = 2, gain = 0.5, pertubation = "none", pertubation_amplitude = 1) gen_perlin(x, y = NULL, z = NULL, frequency = 1, seed = NULL, interpolator = "quintic")
The dimensions (height, width, (and depth)) of the noise to be generated. The length determines the dimensionality of the noise.
Determines the granularity of the features in the noise.
How should values between sampled points be calculated?
The fractal type to use. Either
The number of noise layers used to create the fractal noise.
The frequency multiplier between successive noise layers
when building fractal noise. Ignored if
The relative strength between successive noise layers when
building fractal noise. Ignored if
The pertubation to use. Either
The maximal pertubation distance from the
origin. Ignored if
|x, y, z||
Coordinates to get noise value from
The seed to use for the noise. If
noise_perlin() a matrix if
length(dim) == 2 or an array if
length(dim) == 3. For
gen_perlin() a numeric vector matching the length of
Perlin, Ken (1985). An Image Synthesizer. SIGGRAPH Comput. Graph. 19 (0097-8930): 287–296. doi:10.1145/325165.325247.