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Can someone tell me how to do the opposite? Given a collection of points on a sphere, how does one calculate the probability those points are randomly distributed? I vaguely recall a (1970's?) paper by John E. Westfall that used "nearest neighbor analysis" to determine if the craterlets on the floor of the Moon's Plato crater were randomly distributed, but I don't recall the method. Not sure if that method would generalize to a sphere.


Maybe a global Moran's I test?

https://en.m.wikipedia.org/wiki/Moran%27s_I

Create the spatial weights matrix with great circle distances?




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