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📄 make_nnwd2.m

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% PURPOSE: An example of using make_nnw%          a nearest neighbor spatial weight matrix%          on a large data set                   %---------------------------------------------------% USAGE: make_nnwd2%---------------------------------------------------% A data set for 1980 Presidential election results covering 3,107 % US counties. From Pace, R. Kelley and Ronald Barry. 1997. ``Quick% Computation of Spatial Autoregressive Estimators'',% in  Geographical Analysis.% %  Variables are:%  columns 1-4 are census identifiers %  column 5  = lattitude%  column 6  = longitude%  column 7  = population casting votes%  column 8  = population over age 19 eligible to vote%  column 9  = population with college degrees%  column 10 = homeownership%  column 11 = incomeclear all;load elect.dat;                    % load data on voteslatt = elect(:,5);long = elect(:,6);W2 = make_nnw(long,latt,2); % 4 neighborsW20 = make_nnw(long,latt,20);subplot(2,1,1),spyc(W2,'.r',10);title('2 nearest neighbors W-matrix');subplot(2,1,2),spyc(W20,'.b',10);title('20 nearest neighbors W-matrix');

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