Simplex noise has been developed by Ken Perlin, the inventor of perlin noise, in order to address some of the shortcomings he saw in perlin noise. Compared to perlin noise, simplex noise has lower computational complexity, making it feasable for dimensions above 3 and has no directional artifacts.
noise_simplex(dim, frequency = 0.01, interpolator = "quintic", fractal = "fbm", octaves = 3, lacunarity = 2, gain = 0.5, pertubation = "none", pertubation_amplitude = 1) gen_simplex(x, y = NULL, z = NULL, t = NULL, frequency = 1, seed = NULL)
The dimensions (height, width, (and depth, (and time))) 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, t||
Coordinates to get noise value from
The seed to use for the noise. If
noise_simplex() a matrix if
length(dim) == 2 or an array if
length(dim) >= 3. For
gen_simplex() a numeric vector matching the length of
Ken Perlin, (2001) Noise hardware. In Real-Time Shading SIGGRAPH Course Notes, Olano M., (Ed.)