Hill Noise

Noise functions are a way to produce continuous pseudorandom values across one or more dimensions. The simplest example is a one-dimensional noise function that makes the y-value wobble up and down smoothly, but unpredictably as you move along the x-axis. It’s also possible to produce 2-dimensional noise, where the amplitude of the noise depends on […]