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-------- spatial weights functions --------
distance : Computes the list of pairwise distances for a given set of locations
find_neighbors : finds observations containing m nearest neighbors, slow but low memory version
find_nn : finds observations containing m nearest neighbors, fast but high memory version
find_nn2 : finds observations containing nn nearest neighbors, high-order search
make_neighborsw : finds the nth nearest neighbor and constructs
make_nnw : finds the nth nearest neighbor and constructs
make_nnwd : An example of using make_nnw()
normw : normalize a spatial weight matrix
normw_d : An example of using normw() to produce a normalized 1st order contiguity matrix
normxy : Perform isotropic normalization of x-y coordinates
slag : compute spatial lags
slag_d : An example of using slag()
xy2cont : uses x,y coordinates to produce spatial contiguity weight matrices
xy2cont_d : An example of using xy2cont()
xy2cont_d2 set for 1980 Presidential election results covering 3,107