Most modifications of values in a long_grid are quite simple due to the wealth of vectorised functions avaliable in R. ambient provides a little selection of handy functions to compliment these

blend(x, y, mask)

normalise(x, from = range(x), to = c(0, 1))

normalize(x, from = range(x), to = c(0, 1))

cap(x, lower = 0, upper = 1)

Arguments

x, y

Aalues to modify

mask

A vector of the same length as x and y. Assumed to be between 0 and 1 (values outside of this range is capped). The closer to 1 the more of x will be used and the closer to 0 the more of y will be used

from

The range of x to use for normalisation

to

The output domain to normalise to

lower, upper

The lower and upper bounds to cap to

Examples

grid <- long_grid(seq(1, 10, length.out = 1000), seq(1, 10, length.out = 1000)) grid$chess <- gen_checkerboard(grid$x, grid$y) grid$noise <- gen_perlin(grid$x, grid$y) grid$ripple <- gen_waves(grid$x, grid$y) # Blend two values based on a third grid$mix <- blend(grid$noise, grid$ripple, grid$chess) plot(grid, mix)
# Cap values between 0 and 1 plot(grid, cap(noise))