TerraForm Noise Type Reference

1. Noise Algorithms

1.1 Diamond-Square Algorithm

Function:

diamond_square(shape, min_height, max_height, roughness, random_seed=None)

Description:

Generates terrain using the diamond-square fractal algorithm.

Parameters:

shape: Tuple of (height, width) for the output terrain

min_height: Minimum height value

max_height: Maximum height value

roughness: Controls the roughness of the terrain (0.0 to 1.0)

random_seed: Seed for random number generation (optional)

Returns:

2D NumPy array of noise values

1.2 Base Noise

Function:

base_noise(shape, exponent, seed=None)

Description:

Generates basic noise using Fourier synthesis.

Parameters:

shape: Tuple of (height, width) for the output terrain

exponent: Controls the frequency distribution

seed: Random seed (optional)

Returns:

2D NumPy array of noise values

1.3 Base Fractal Noise

Function:

base_fractal_noise(shape, exponent, octaves, lacunarity, persistence, amplitude, seed=None)

Description:

Generates fractal noise by combining multiple octaves of base noise.

Parameters:

shape: Tuple of (height, width) for the output terrain

exponent: Controls the frequency distribution

octaves: Number of noise layers to combine

lacunarity: Controls frequency increase per octave

persistence: Controls amplitude decrease per octave

amplitude: Initial amplitude

seed: Random seed (optional)

Returns:

2D NumPy array of fractal noise values

1.4 Fractal Voronoi Noise

Function:

fractal_voronoi_noise(shape, frequency, octaves, lacunarity, persistence, seed=None)

Description:

Generates noise based on Voronoi diagrams with fractal characteristics.

Parameters:

shape: Tuple of (height, width) for the output terrain

frequency: Initial frequency of Voronoi cells

octaves: Number of Voronoi layers to combine

lacunarity: Controls frequency increase per octave

persistence: Controls amplitude decrease per octave

seed: Random seed (optional)

Returns:

2D NumPy array of Voronoi noise values