## random cities: scatter / cluster parameters C(a point set) then randomgen(C) ?

An example: given the coordinates of say 1000 cities in the USA, are there a few parameters which describe how they scatter / cluster,

C = clusterparams( cities )


which can then drive a random point generator

randomcities = randomgen( C )


so that

clusterparams( randomcities ) ~ C


i.e. the random cities scatter/cluster "like" the real cities ?
In general, I have N points in (typically) R2 or R3, and want to generate synthetic data for kd* trees.

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 Maybe look at some of the references in this wikipedia article en.wikipedia.org/wiki/Spatial_statistics – jc Jun 11 2010 at 18:41