In the context of statistical sampling, a square grid containing sample positions is a Latin square1 if (and only if) there is only one sample in each row and each column. A Latin hypercube2 is the generalization of this concept to an arbitrary number of dimensions, whereby each sample is the only one in each axis-aligned hyperplane3 containing it.
