% 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_html : makes HTML verion of contents.m files for the Econometrics Toolbox
%  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 
