%model_prop, function models propagation and allows for empirical
%determination of best models.
%opens raw data file, models each base station, saves as Chong-Brandon.mat
%compares models to measured data, with CompareMaps.m
function [data] = model_prop(start,stop,n)
vr = [start:n:stop];
for cnt = 1:size(vr,2);
    load raw_ABCD.mat;
    Cell_Info_A.meas = predict_map(Cell_Info_A,vr(cnt));
    Cell_Info_B.meas = predict_map(Cell_Info_B,vr(cnt));
    Cell_Info_C.meas = predict_map(Cell_Info_C,vr(cnt));
    Cell_Info_D.meas = predict_map(Cell_Info_D,vr(cnt));
    save Chong-Brandon.mat;
    [mu, sigma] = CompareMaps('Cell_Info_ABCD.mat','Chong-Brandon.mat');
    data(cnt,1) = vr(cnt);
    data(cnt,2) = mean(mu);
    data(cnt,3) = mean(sigma);
end
set(figure, 'Position', [4, 500, 1000, 380]);
subplot(1,2,1); plot(data(:,1),data(:,2)); title('Avg. Mean');
subplot(1,2,2); plot(data(:,1),data(:,3)); title('Avg. Standard Deviation');