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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