Difference between revisions of "love.math.noise"
m (Edited return value description to match new range of [0, 1]) |
m (http://freespace.virgin.net/hugo.elias/models/m_perlin.htm does not describe perlin or simplex noise. perlin and simplex noise work with gradients, for comparsion see http://www.noisemachine.com/talk1) |
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[http://en.wikipedia.org/wiki/Simplex_noise Simplex noise] is closely related to [http://en.wikipedia.org/wiki/Perlin_noise Perlin noise]. It is widely used for procedural content generation. | [http://en.wikipedia.org/wiki/Simplex_noise Simplex noise] is closely related to [http://en.wikipedia.org/wiki/Perlin_noise Perlin noise]. It is widely used for procedural content generation. | ||
| − | There are [http://www.noisemachine.com/talk1/ many] [http:// | + | There are [http://www.noisemachine.com/talk1/ many] [http://libnoise.sourceforge.net/noisegen/ webpages] which discuss Perlin and Simplex noise in detail. |
== Function == | == Function == | ||
Generates Simplex noise from 1 dimension. | Generates Simplex noise from 1 dimension. | ||
Revision as of 08:11, 29 June 2014
| Available since LÖVE 0.9.0 |
| This function is not supported in earlier versions. |
Generates a Simplex noise value in 1-4 dimensions.
Simplex noise is closely related to Perlin noise. It is widely used for procedural content generation.
There are many webpages which discuss Perlin and Simplex noise in detail.
Contents
Function
Generates Simplex noise from 1 dimension.
Synopsis
value = love.math.noise( x )
Arguments
number x- The number used to generate the noise value.
Returns
number value- The noise value in the range of [0, 1].
Function
Generates Simplex noise from 2 dimensions.
Synopsis
value = love.math.noise( x, y )
Arguments
number x- The first value of the 2-dimensional vector used to generate the noise value.
number y- The second value of the 2-dimensional vector used to generate the noise value.
Returns
number value- The noise value in the range of [0, 1].
Function
Generates Simplex noise from 3 dimensions.
Synopsis
value = love.math.noise( x, y, z )
Arguments
number x- The first value of the 3-dimensional vector used to generate the noise value.
number y- The second value of the 3-dimensional vector used to generate the noise value.
number z- The third value of the 3-dimensional vector used to generate the noise value.
Returns
number value- The noise value in the range of [0, 1].
Function
Generates Simplex noise from 4 dimensions.
Synopsis
value = love.math.noise( x, y, z, w )
Arguments
number x- The first value of the 4-dimensional vector used to generate the noise value.
number y- The second value of the 4-dimensional vector used to generate the noise value.
number z- The third value of the 4-dimensional vector used to generate the noise value.
number w- The fourth value of the 4-dimensional vector used to generate the noise value.
Returns
number value- The noise value in the range of [0, 1].
See Also
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