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#' Value noise generator
#'
#' Value noise is a simpler version of cubic noise that uses linear
#' interpolation between neighboring grid points. This creates a more distinct
#' smooth checkerboard pattern than cubic noise, where interpolation takes all
#' the surrounding grid points into accout.
#'
#' @inheritParams noise_perlin
#'
#' @return For `noise_value()` a matrix if `length(dim) == 2` or an array if
#' `length(dim) == 3`. For `gen_value()` a numeric vector matching the length of
#' the input.
#'
#' @export
#'
#' @examples
#' # Basic use
#' noise <- noise_value(c(100, 100))
#'
#' plot(as.raster(normalise(noise)))
#'
#' # Using the generator
#' grid <- long_grid(seq(1, 10, length.out = 1000), seq(1, 10, length.out = 1000))
#' grid$noise <- gen_value(grid$x, grid$y)
#' plot(grid, noise)
#'
noise_value <- function(dim, frequency = 0.01, interpolator = 'quintic',
fractal = 'fbm', octaves = 3, lacunarity = 2, gain = 0.5,
pertubation = 'none', pertubation_amplitude = 1) {
interpolator <- match.arg(interpolator, interpolators)
interpolator <- match(interpolator, interpolators) - 1L
fractal <- match.arg(fractal, fractals)
fractal <- match(fractal, fractals) - 1L
pertubation <- match.arg(pertubation, pertubations)
pertubation <- match(pertubation, pertubations) - 1L
if (length(dim) == 2) {
noise <- value_2d_c(dim[1], dim[2], seed = sample(.Machine$integer.max, size = 1),
freq = frequency, interp = interpolator, fractal = fractal,
octaves = octaves, lacunarity = lacunarity, gain = gain,
pertube = pertubation, pertube_amp = pertubation_amplitude)
} else if (length(dim) == 3) {
noise <- value_3d_c(dim[1], dim[2], dim[3], seed = sample(.Machine$integer.max, size = 1),
freq = frequency, interp = interpolator, fractal = fractal,
octaves = octaves, lacunarity = lacunarity, gain = gain,
pertube = pertubation, pertube_amp = pertubation_amplitude)
noise <- array(noise, dim)
} else {
stop('Value noise only supports two or three dimensions', call. = FALSE)
}
noise
}
#' @rdname noise_value
#' @param x,y,z Coordinates to get noise value from
#' @export
gen_value <- function(x, y = NULL, z = NULL, frequency = 1, seed = NULL,
interpolator = 'quintic', ...) {
dims <- check_dims(x, y, z)
interpolator <- match.arg(interpolator, interpolators)
interpolator <- match(interpolator, interpolators) - 1
if (is.null(seed)) seed <- random_seed()
frequency <- as.numeric(frequency)
seed <- as.integer(seed)
if (is.null(z)) {
gen_value2d_c(dims$x, dims$y, frequency, seed, interpolator)
} else {
gen_value3d_c(dims$x, dims$y, dims$z, frequency, seed, interpolator)
}
}
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