📄 xy2cont_d2.m
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% PURPOSE: An example of using xy2cont()
% to produce a sparse spatial weight matrix
% using a large data set
%---------------------------------------------------
% USAGE: xy2cont_d2
%---------------------------------------------------
% 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 = income
load elect.dat; % load data on votes
latt = elect(:,5);
long = elect(:,6);
% create contiguity matrix (1st order)
[junk W junk] = xy2cont(latt,long);
spy(W);
title('row-stochastic weight matrix 3,107 US counties');
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