Poisson Disk Sampling

Poisson Disk Sampling is a method for generating points in space so that each point is at least a certain minimum distance from all others. This results in a naturally spread-out, random pattern that avoids clustering. It's useful in computer graphics and simulations to create realistic distributions—like placing trees in a forest or stars in the sky—where points appear evenly but with a natural variation, maintaining both randomness and a sense of uniform coverage.