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-------- spatial weights functions -------- 
 
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_neighw      : 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