ambient is a an R package that provides access to the
FastNoise C++ library for
generating noise. As such it provides fast generation of perlin, value,
cubic, and worley noise in 2 and 3 dimensions, as well as simplex and
white noise in 2, 3, and 4 dimensions. Further, it provides pattern
generators and other utilities that can be used for modifying and
working with noise.
Most of the noise patterns can be generated as fractals as well with support for fbm, billow and rigid-multifractal, and can optionally be pertubed.
There’s not much more to it. If you are in need of a noise generator
ambient is your friend, if not you probably shouldn’t care.
ambient can be installed from CRAN using
or you may get the development version from github using devtools:
# install.packages('devtools') devtools::install_github('thomasp85/ambient')
ambient provides a direct interface to the FastNoise functions by requesting a matrix/array of noise values, with a range of settings for pertubation and fractals:
library(ambient) simplex <- noise_simplex(c(500, 500), pertubation = 'normal', pertubation_amplitude = 40) plot(as.raster(normalise(simplex)))
much more powerful, however, is the tidy interface that allows full control of how the values should be calculated and combined:
library(dplyr) long_grid(x = seq(0, 10, length.out = 1000), y = seq(0, 10, length.out = 1000)) %>% mutate( x1 = x + gen_simplex(x, y) / 2, y1 = y + gen_simplex(x, y) / 2, worley = gen_worley(x, y, value = 'distance', seed = 5), worley_frac = fracture(gen_worley, ridged, octaves = 8, x = x, y = y, value = 'distance', seed = 5), full = blend(normalise(worley), normalise(worley_frac), gen_spheres(x1, y1)) ) %>% plot(full)
Code of Conduct
Please note that the ‘ambient’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.