Class NormalizedSimplexNoise

Namespace

Vintagestory.API.MathTools

Assembly

VintagestoryAPI.dll

It's generally pretty hard to get a neatly normalized coherent noise function due to the way perlin/open simplex works (gauss curve) and how random numbers are generated. So instead of trying to find the perfect normalization factor and instead try to perform some approximate normalization this class allows a small overflow and brings it down very close to the [0, 1] range using tanh().

Returns values in a range of [0..1]

public class NormalizedSimplexNoise

Inheritance

object

NormalizedSimplexNoise

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

NormalizedSimplexNoise(double[], double[], long)

public NormalizedSimplexNoise(double[] inputAmplitudes, double[] frequencies, long seed)

Parameters

inputAmplitudes double[]

frequencies double[]

seed long

Fields

frequencies

public double[] frequencies

Field Value

double[]

inputAmplitudes

public double[] inputAmplitudes

Field Value

double[]

octaves

public SimplexNoiseOctave[] octaves

Field Value

SimplexNoiseOctave[]

scaledAmplitudes2D

public double[] scaledAmplitudes2D

Field Value

double[]

scaledAmplitudes3D

public double[] scaledAmplitudes3D

Field Value

double[]

Methods

ForColumn(double, double[], double[], double, double)

public NormalizedSimplexNoise.ColumnNoise ForColumn(double relativeYFrequency, double[] amplitudes, double[] thresholds, double noiseX, double noiseZ)

Parameters

relativeYFrequency double

amplitudes double[]

thresholds double[]

noiseX double

noiseZ double

Returns

NormalizedSimplexNoise.ColumnNoise

FromDefaultOctaves(int, double, double, long)

Generates the octaves and frequencies using following formulas freq[i] = baseFrequency * 2^i amp[i] = persistence^i

public static NormalizedSimplexNoise FromDefaultOctaves(int quantityOctaves, double baseFrequency, double persistence, long seed)

Parameters

quantityOctaves int

baseFrequency double

persistence double

seed long

Returns

NormalizedSimplexNoise

Noise(double, double)

2d noise

public virtual double Noise(double x, double y)

Parameters

x double

y double

Returns

double

Noise(double, double, double)

3d noise

public virtual double Noise(double x, double y, double z)

Parameters

x double

y double

z double

Returns

double

Noise(double, double, double, double[])

3d Noise using custom amplitudes

public virtual double Noise(double x, double y, double z, double[] amplitudes)

Parameters

x double

y double

z double

amplitudes double[]

Returns

double

Noise(double, double, double, double[], double[])

public double Noise(double x, double y, double z, double[] amplitudes, double[] thresholds)

Parameters

x double

y double

z double

amplitudes double[]

thresholds double[]

Returns

double

Noise(double, double, double[])

public double Noise(double x, double y, double[] thresholds)

Parameters

x double

y double

thresholds double[]

Returns

double

NoiseValueCurve(double)

public static double NoiseValueCurve(double value)

Parameters

value double

Returns

double

NoiseValueCurveInverse(double)

public static double NoiseValueCurveInverse(double value)

Parameters

value double

Returns

double