Get a 2, 3, or 4 Dimensional Array of Simplex Noise

Create a regular n-dimensional grid with an OpenSimplex2 noise gradient. You can control the noisiness to some degree with the frequency argument. If you want more control, you should use opensimplex_space(), which allows you to create a continuous OpenSimplex noise gradient space, that can be sampled at any arbitrary coordinate.

Usage

opensimplex_noise(type = "S", width, height, depth, slice, frequency = 1)

Arguments

type

Type of OpenSimplex2 you wish to use. Should be either "F" for fast or "S" for smooth.

width, height, depth, slice

Positive integer size of each of the desired dimensions. width and height dimensions are required. Other dimensions are optional. However, depth is required when slice dimension is specified.

frequency

The frequency (numeric) with which the noise gradient fluctuates with respect to each respective dimension. Low values (<1) will generate smooth gradients, whereas large values (>1) will result in very noisy gradients. Default value is 1.

Value

A matrix (in case of two dimensions) or array (in case of more dimensions) of numeric values between -1 and +1. OpenSimplex2 uses gradient tables that ensure that the distribution of values is centred at zero, meaning the "peaks" and "valleys" are statistically balanced.

Details

The exact state of the noise gradient space depends on R's internal, random generator. So each time you call opensimplex_space, you will get a, space in a different state. If you want to obtain a reproducible state,, you simply set the random seed with set.seed().

Examples

mat <- opensimplex_noise("S", 100, 100)
image(mat)