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target7.m
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% How to create a target diagram with a legend plus changed marker colors
% and circles that show co-located points.
%
% A seventh example of how to create a target diagram given one set of
% reference observations and multiple model predictions for the quantity.
%
% This example is a variation on the fourth example (target4) where now a
% legend is added, the marker colors are changed, the radii of circles to
% draw are specified, and two points are co-located (i.e. overly each
% other). Symbols with transparent faces are used so the co-located points
% can be seen. The list of points are checked for those that agree within
% 1% of each other and reported to the screen.
%
% All functions in the Skill Metrics Toolbox are designed to only work with
% one-dimensional arrays, e.g. time series of observations at a selected
% location. The one-dimensional data are read in as data structures via a
% mat file. The latter are stored in data structures in the format:
% ref.data, pred1.data, pred2.dat, and pred3.dat. The plot is written to a
% file in Portable Network Graphics (PNG) format.
%
% The reference data used in this example are cell concentrations of a
% phytoplankton collected from cruise surveys at selected locations and
% time. The model predictions are from three different simulations that
% have been space-time interpolated to the location and time of the sample
% collection. Details on the contents of the data structures (once loaded)
% can be obtained by simply entering the data structure variable name at
% the command prompt, e.g.
% >> ref
% ref =
% data: [57x1 double]
% date: {57x1 cell}
% depth: [57x1 double]
% latitude: [57x1 double]
% longitude: [57x1 double]
% station: [57x1 double]
% time: {57x1 cell}
% units: 'cell/L'
% jday: [57x1 double]
% Author: Peter A. Rochford
% Symplectic, LLC
% www.thesymplectic.com
% Close any previously open graphics windows
close all;
% Set the figure properties (optional)
set(gcf,'units','inches','position',[0,10.0,14.0,10.0]);
set(gcf,'DefaultLineLineWidth', 1.5); % linewidth for plots
set(gcf,'DefaultAxesFontSize',18); % font size of axes text
% Read in data from a mat file
load('target_data.mat');
% Calculate statistics for target diagram
target_stats1 = target_statistics(pred1,ref,'data');
target_stats2 = target_statistics(pred2,ref,'data');
target_stats3 = target_statistics(pred3,ref,'data');
% Store statistics in arrays
bias = [target_stats1.bias; target_stats2.bias; target_stats3.bias];
crmsd = [target_stats1.crmsd; target_stats2.crmsd; target_stats3.crmsd];
rmsd = [target_stats1.rmsd; target_stats2.rmsd; target_stats3.rmsd];
% Store statistics in arrays, making the fourth element a repeat of
% the first.
bias = [target_stats1.bias; target_stats2.bias; target_stats3.bias; ...
target_stats1.bias; 0.991*target_stats3.bias];
crmsd = [target_stats1.crmsd; target_stats2.crmsd; target_stats3.crmsd; ...
target_stats1.crmsd; target_stats3.crmsd];
rmsd = [target_stats1.rmsd; target_stats2.rmsd; target_stats3.rmsd; ...
target_stats1.rmsd; target_stats3.rmsd];
% Specify labels for points in a cell array (M1 for model prediction 1,
% etc.).
label = {'M1', 'M2', 'M3', 'M4', 'M5'};
% Check for duplicate statistics
duplicateStats = check_duplicate_stats(bias,crmsd);
% Report duplicate statistics, if any
report_duplicate_stats(duplicateStats);
% Produce the target diagram
%
% Label the points and change the axis options. Increase the upper limit
% for the axes, change color and line style of circles. Increase
% the line width of circles. Change color of labels and points. Add a
% legend.
%
% For an exhaustive list of options to customize your diagram, please
% call the function without arguments:
% >> target_diagram
[hp, ht, axl] = target_diagram(bias,crmsd,rmsd, ...
'markerLabel',label, 'markerLabelColor', 'b', 'markerColor', 'b', ...
'markerLegend', 'on', ...
'ticks',-50.0:10.0:50.0,'limitAxis',50.0, ...
'circles',[20.0 40.0 50.0], 'circleLineSpec','-.b', ...
'circleLineWidth',1.5, 'markerSize', 14, 'alpha', 0.0);
% Write plot to file
writepng(gcf,'target7.png');