  A theoretical framework is developed to describe the transformation that
distributes probability density functions uniformly over space. In one
dimension, the cumulative distribution can be used, but does not generalize to
higher dimensions, or non-separable distributions. A potential function is
shown to link probability density functions to their transformation, and to
generalize the cumulative. A numerical method is developed to compute the
potential, and examples are shown in two dimensions.
