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GetResults_supplychain.m
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GetResults_supplychain.m
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%%%%%%%%%%%%% Get Results %%%%%%%%%%%%%%%%%%%%
% cd C:\Users\nrmagliocca\'Box Sync'\'Data Drive'\model_results\SupplyChain_full_020618
% cd C:\Users\nrmagliocca\'Box Sync'\'Data Drive'\model_results\SupplyChain_null_013018
cd \\asfs.asnet.ua-net.ua.edu\users$\home\nrmagliocca\'My Documents'\MATLAB\NarcoLogic\model_results\SupplyChain_optint_071620
fnames=dir;
fnamescell=struct2cell(fnames);
h=strncmp('supplychain_results_',fnamescell(1,:),20);
hind=find(h==1);
[CAadm0,CAattr0]=shaperead('D:\CentralAmerica\GADM\g2015_2014_0\CAadm0.shp',...
'UseGeoCoords',true);
[CAadm1,CAattr1]=shaperead('D:\CentralAmerica\GADM\g2015_2014_1\CAadm1.shp',...
'UseGeoCoords',true);
load(fnamescell{1,hind(1)})
NNODES=length(NodeTable.ID);
TSTART=1;
TMAX=180;
MRUNS=1;
ERUNS=1;
ndto=2;
batchind=[reshape(repmat(1:ERUNS,MRUNS,1),MRUNS*ERUNS,1) ...
reshape(repmat(1:MRUNS,1,ERUNS),MRUNS*ERUNS,1)];
% sl_max=[75 100 125 150 175];
sl_max=125;
sl_min=ceil(sl_max/6);
% NACTNODES=cell(ndto,MRUNS*ERUNS);
% SLPEREVENT=cell(ndto,MRUNS*ERUNS);
NACTNODES=zeros(MRUNS*ERUNS,TMAX,ndto);
SLPEREVENT=zeros(MRUNS*ERUNS,TMAX,ndto);
VALPEREVENT=zeros(MRUNS*ERUNS,TMAX,ndto);
dtoBDGT=cell(MRUNS*ERUNS,1,ndto);
TMOV=cell(MRUNS*ERUNS,1);
DEPTRPREM=cell(7,length(hind));
CNTRYRPREM=cell(7,length(hind));
DEPTTCOST=cell(7,length(hind));
CNTRYTCOST=cell(7,length(hind));
DEPTNODEPRICE=cell(7,length(hind));
CNTRYNODEPRICE=cell(7,length(hind));
SENDFLOW=zeros(NNODES,TMAX,MRUNS*ERUNS);
SLVOL=zeros(NNODES,TMAX,MRUNS*ERUNS);
INTRATE=zeros(NNODES,TMAX,MRUNS*ERUNS);
DEPTFLOWS=cell(7,length(hind));
CNTRYFLOWS=cell(7,length(hind));
DLVR=zeros(MRUNS*ERUNS,TMAX);
ACTCHECK=zeros(1,MRUNS*ERUNS);
PRMYMV=zeros(1,MRUNS*ERUNS);
edgecompare=cell(1,length(hind));
for mr=1:length(hind) % MRUNS*EXPTRUNS
h=strcmp(sprintf('supplychain_results_optint_071620_%d_%d.mat',...
batchind(mr,1),batchind(mr,2)),fnamescell(1,:));
% h=strcmp(sprintf('supplychain_results_013018_%d_%d.mat',...
% batchind(mr,1),batchind(mr,2)),fnamescell(1,:));
filename=fnamescell{1,h};
load(filename)
% %%% Locate Department statistics
cntrynames={'Guatemala','Panama','Panama','Costa Rica','Honduras','Panama','Nicaragua','Panama','Nicaragua','Guatemala','Honduras'};
deptnames={'Pet','Dari','Ember','Puntarenas','Grac','Col','Atlantico Norte','Veraguas','Atlantico Sur','Izabal','Col'};
cntryind=zeros(length(CAattr1),length(deptnames));
deptind=zeros(length(CAattr1),length(deptnames));
hind=zeros(1,length(deptnames));
chind=cell(1,length(deptnames));
slctnodes=cell(1,length(deptnames));
cslctnodes=cell(1,length(deptnames));
deptflows=zeros(length(deptnames),TMAX);
deptflows_ts=zeros(length(deptnames),TMAX/12);
cntryflows=zeros(length(deptnames),TMAX);
cntryflows_ts=zeros(length(deptnames),TMAX/12);
deptslvol=zeros(length(deptnames),TMAX);
deptslvol_ts=zeros(length(deptnames),TMAX/12);
deptintrt=zeros(length(deptnames),TMAX);
deptintrt_ts=zeros(length(deptnames),TMAX/12);
% deptriskprem=zeros(length(deptnames),TMAX);
% deptriskprem_ts=zeros(length(deptnames),TMAX/12);
% cntryriskprem=zeros(length(deptnames),TMAX);
% cntryriskprem_ts=zeros(length(deptnames),TMAX/12);
% deptctrans=zeros(length(deptnames),TMAX);
% deptctrans_ts=zeros(length(deptnames),TMAX/12);
% cntryctrans=zeros(length(deptnames),TMAX);
% cntryctrans_ts=zeros(length(deptnames),TMAX/12);
tsind=ceil((1:TMAX)./12);
for jj=1:length(cntrynames)
for ii=1:length(CAattr1)
cntryind(ii,jj)=strncmp(cntrynames(jj),CAattr1(ii).ADM0_NAME,length(cntrynames{jj}));
deptind(ii,jj)=strncmp(deptnames(jj),CAattr1(ii).ADM1_NAME,length(deptnames{jj}));
end
hind(jj)=find(cntryind(:,jj) == 1 & deptind(:,jj) == 1);
chind(jj)=mat2cell(find(cntryind(:,jj) == 1),length(find(cntryind(:,jj) == 1)),1);
nodeids=NodeTable.ID(NodeTable.DeptCode == CAattr1(hind(jj)).ADM1_CODE);
cnodeids=NodeTable.ID(ismember(NodeTable.DeptCode,cat(1,CAattr1(chind{jj}).ADM1_CODE)));
slctnodes(jj)=mat2cell(nodeids,length(nodeids),1);
cslctnodes(jj)=mat2cell(cnodeids,length(cnodeids),1);
deptflows(jj,:)=sum(OUTFLOW(slctnodes{jj},:),1); %single run code
cntryflows(jj,:)=sum(OUTFLOW(cslctnodes{jj},:),1);
% RISKPREM(RISKPREM == 0)=NaN;
% deptriskprem(jj,:)=mean(reshape(nanmean(RISKPREM(:,slctnodes{jj},1:TMAX),1),...
% length(slctnodes{jj}),TMAX),1);
% cntryriskprem(jj,:)=mean(reshape(nanmean(RISKPREM(:,cslctnodes{jj},1:TMAX),1),...
% length(cslctnodes{jj}),TMAX),1);
% CTRANS(CTRANS == 0)=NaN;
% deptctrans(jj,:)=mean(reshape(nanmean(CTRANS(:,slctnodes{jj},1:TMAX),1),...
% length(slctnodes{jj}),TMAX),1);
% cntryctrans(jj,:)=mean(reshape(nanmean(CTRANS(:,cslctnodes{jj},1:TMAX),1),...
% length(cslctnodes{jj}),TMAX),1);
test=reshape(sum(slsuccess,1),NNODES,TMAX); %single run code
deptslvol(jj,:)=sum(test(slctnodes{jj},:),1); %single run code
% deptflows(jj,:)=sum(mediandlvr(slctnodes{jj},:),1);
% deptslvol(jj,:)=sum(medianslvol(slctnodes{jj},:),1);
deptintrt(jj,:)=deptslvol(jj,:)./(deptslvol(jj,:)+deptflows(jj,:));
for ts=1:TMAX/12
deptflows_ts(jj,ts)=sum(deptflows(jj,tsind==ts));
cntryflows_ts(jj,ts)=sum(cntryflows(jj,tsind==ts));
% deptriskprem_ts(jj,ts)=mean(deptriskprem(jj,tsind==ts));
% cntryriskprem_ts(jj,ts)=mean(cntryriskprem(jj,tsind==ts));
% deptctrans_ts(jj,ts)=mean(deptctrans(jj,tsind==ts));
% cntryctrans_ts(jj,ts)=mean(cntryctrans(jj,tsind==ts));
deptslvol_ts(jj,ts)=sum(deptslvol(jj,tsind==ts));
deptintrt_ts(jj,:)=deptslvol_ts(jj,:)./(deptslvol_ts(jj,:)+deptflows_ts(jj,:));
end
DEPTFLOWS(jj,mr)=mat2cell(deptflows_ts(jj,:),1,ts);
CNTRYFLOWS(jj,mr)=mat2cell(cntryflows_ts(jj,:),1,ts);
% DEPTRPREM(jj,mr)=mat2cell(deptriskprem_ts(jj,:),1,ts);
% CNTRYRPREM(jj,mr)=mat2cell(cntryriskprem_ts(jj,:),1,ts);
% DEPTTCOST(jj,mr)=mat2cell(deptctrans_ts(jj,:),1,ts);
% CNTRYTCOST(jj,mr)=mat2cell(cntryctrans_ts(jj,:),1,ts);
end
SENDFLOW(:,:,mr)=OUTFLOW;
SLVOL(:,:,mr)=reshape(sum(slsuccess,1),NNODES,TMAX);
INTRATE(:,:,mr)=SLVOL(:,:,mr)./(SLVOL(:,:,mr)+SENDFLOW(:,:,mr));
% NACTNODES(:,mr)=mat2cell(nactnodes,ndto,TMAX);
% SLPEREVENT(:,mr)=mat2cell(slperevent,ndto,TMAX);
for idt=1:ndto
NACTNODES(mr,:,idt)=nactnodes(idt,:);
SLPEREVENT(mr,:,idt)=slperevent(idt,:);
VALPEREVENT(mr,:,idt)=slval(idt,:);
end
dtoBDGT(mr,1,1)=mat2cell(DTOBDGT(1,:),1,TMAX);
dtoBDGT(mr,1,2)=mat2cell(DTOBDGT(2,:),1,TMAX);
TMOV(mr,1)=mat2cell(t_firstmov',1,length(t_firstmov));
edgecompare{mr}=EdgeTable.EndNodes;
DLVR(mr,:)=SENDFLOW(1,:,mr)-sum(SLPEREVENT(mr,:,:),3);
ACTCHECK(mr)=sum(sum(SENDFLOW(:,:,mr),2) > 0);
PRMYMV(mr)=length(unique(cat(1,activeroute{1,:})));
clear nactnodes slperevent
end
% slevents=cell2mat(SLPEREVENT);
% actrtes=cell2mat(NACTNODES);
slevents=SLPEREVENT;
actrtes=NACTNODES;
totactrtes=sum(NACTNODES,3);
totslevents=sum(SLPEREVENT,3);
totvalevents=sum(VALPEREVENT./max(SLPEREVENT,1),3);
dtobdgt_1=cell2mat(dtoBDGT(:,:,1));
dtobdgt_2=cell2mat(dtoBDGT(:,:,2));
tmov=cell2mat(TMOV);
meanrtes=zeros(ndto,TMAX,ERUNS);
medianrtes=zeros(ndto,TMAX,ERUNS);
minrtes=zeros(ndto,TMAX,ERUNS);
maxrtes=zeros(ndto,TMAX,ERUNS);
cvrtes=zeros(ndto,TMAX,ERUNS);
meansl=zeros(ndto,TMAX,ERUNS);
mediansl=zeros(ndto,TMAX,ERUNS);
minsl=zeros(ndto,TMAX,ERUNS);
maxsl=zeros(ndto,TMAX,ERUNS);
cvsl=zeros(ndto,TMAX,ERUNS);
maxdto=zeros(length(hind),2);
meanfirstmov=zeros(ERUNS,NNODES);
maxflows=zeros(NNODES,ERUNS);
maxyear=zeros(NNODES,ERUNS);
medianslvol=zeros(NNODES,TMAX,ERUNS);
meanslvol=zeros(NNODES,TMAX,ERUNS);
mediandlvr=zeros(NNODES,TMAX,ERUNS);
meandlvr=zeros(NNODES,TMAX,ERUNS);
medianintrt=zeros(NNODES,TMAX,ERUNS);
meanintrt=zeros(NNODES,TMAX,ERUNS);
slvolQnt=cell(7,ERUNS); % quantiles [0.025 0.05 0.25 0.5 0.75 0.95 0.975] for NNODES x TMAX
dlvrQnt=cell(7,ERUNS);
intrtQnt=cell(7,ERUNS);
for erun=1:ERUNS
medianslvol(:,:,erun)=median(SLVOL(:,:,batchind(:,1)==erun),3); %volume seized
meanslvol(:,:,erun)=mean(SLVOL(:,:,batchind(:,1)==erun),3); %volume seized
mediandlvr(:,:,erun)=median(SENDFLOW(:,:,batchind(:,1)==erun),3); %volume delivered
meandlvr(:,:,erun)=mean(SENDFLOW(:,:,batchind(:,1)==erun),3); %volume delivered
medianintrt(:,:,erun)=median(INTRATE(:,:,batchind(:,1)==erun),3); %interdiction rate
meanintrt(:,:,erun)=mean(INTRATE(:,:,batchind(:,1)==erun),3); %interdiction rate
slvol_qnt=quantile(SLVOL(:,:,batchind(:,1)==erun),[0.025 0.05 0.25 0.5 0.75 0.95 0.975],3);
dlvr_qnt=quantile(SENDFLOW(:,:,batchind(:,1)==erun),[0.025 0.05 0.25 0.5 0.75 0.95 0.975],3);
intrt_qnt=quantile(INTRATE(:,:,batchind(:,1)==erun),[0.025 0.05 0.25 0.5 0.75 0.95 0.975],3);
for k=1:7
slvolQnt(k,erun)=mat2cell(slvol_qnt(:,:,k),NNODES,TMAX);
dlvrQnt(k,erun)=mat2cell(slvol_qnt(:,:,k),NNODES,TMAX);
intrtQnt(k,erun)=mat2cell(slvol_qnt(:,:,k),NNODES,TMAX);
end
for idt=1:ndto
% istart=find(slevents(mr,:,idt)>0,1,'first');
% meanrtes(mr,:,idt)=mean(actrtes(mr,istart:TMAX,idt));
% medianrtes(idt,mr)=median(actrtes(mr,istart:TMAX,idt));
% minrtes(idt,mr)=min(actrtes(mr,istart:TMAX,idt));
% maxrtes(idt,mr)=max(actrtes(mr,istart:TMAX,idt));
% cvrtes(idt,mr)=var(actrtes(mr,istart:TMAX,idt))/mean(actrtes(mr,istart:TMAX,idt));
% meansl(idt,mr)=mean(slevents(mr,istart:TMAX,idt));
% mediansl(idt,mr)=median(slevents(mr,istart:TMAX,idt));
% minsl(idt,mr)=min(slevents(mr,istart:TMAX,idt));
% maxsl(idt,mr)=max(slevents(mr,istart:TMAX,idt));
% cvsl(idt,mr)=var(slevents(mr,istart:TMAX,idt))/mean(slevents(mr,istart:TMAX,idt));
meanrtes(idt,:,erun)=mean(actrtes(batchind(:,1)==erun,:,idt),1);
medianrtes(idt,:,erun)=median(actrtes(batchind(:,1)==erun,:,idt));
minrtes(idt,:,erun)=min(actrtes(batchind(:,1)==erun,:,idt));
maxrtes(idt,:,erun)=max(actrtes(batchind(:,1)==erun,:,idt));
cvrtes(idt,:,erun)=var(actrtes(batchind(:,1)==erun,:,idt))./mean(actrtes(batchind(:,1)==erun,:,idt));
meansl(idt,:,erun)=mean(slevents(batchind(:,1)==erun,:,idt));
mediansl(idt,:,erun)=median(slevents(batchind(:,1)==erun,:,idt));
minsl(idt,:,erun)=min(slevents(batchind(:,1)==erun,:,idt));
maxsl(idt,:,erun)=max(slevents(batchind(:,1)==erun,:,idt));
cvsl(idt,:,erun)=var(slevents(batchind(:,1)==erun,:,idt))./mean(slevents(batchind(:,1)==erun,:,idt));
end
for j=1:length(tmov(1,:))
isubmov=tmov(batchind(:,1)==erun,j) ~= 0;
meanfirstmov(erun,j)=mean(tmov(isubmov,j),1);
end
end
summroutes=cell(length(sl_max),5);
summsl=cell(length(sl_max),5);
for g=1:length(sl_max)
ind=batchind(:,1) == g;
[rtemu,rtesigma,rtemuci,~]=normfit(sum(medianrtes(:,ind),1));
rtequant=quantile(sum(medianrtes(:,ind),1),[0.025 0.25 0.5 0.75 0.975]);
summroutes{g,1}=rtemu;
summroutes{g,2}=rtesigma;
summroutes(g,3)=mat2cell(rtemuci,2,1);
summroutes{g,4}=rtequant(3);
summroutes(g,5)=mat2cell([rtequant(2) rtequant(4)]',2,1);
[slmu,slsigma,slmuci,~]=normfit(sum(mediansl(:,ind),1));
slquant=quantile(sum(mediansl(:,ind),1),[0.025 0.25 0.5 0.75 0.975]);
summsl{g,1}=slmu;
summsl{g,2}=slsigma;
summsl(g,3)=mat2cell(slmuci,2,1);
summsl{g,4}=slquant(3);
summsl(g,5)=mat2cell([slquant(2) slquant(4)]',2,1);
end
%%
deptrefvecs{1}=[5500 6300 2250 3450 1050 1375 625 625 1600]; %Peten, 2005-2013
deptrefvecs{2}=[29750 26812 37034 49043 41399 41535]; %Darien, 2009-2014
% deptrefvecs{3}=[4000 886 32782 26225.6 11400 25765 28684 34926]; %Puntarenas, 2007-2014
deptrefvecs{3}=[770 1275 3450 5000 23450 23779 92661 159368 114905 92472 ...
73836 191770 209586 269160]; %Costa Rica, 2001-2014
deptrefvecs{4}=[3930 12800 4463 6906 63395 109875 219354 214087 107219 55268]; %gracias a dios, 2005-2014
% deptrefvecs{4}=[1550 12800 6075 7872 22500 67802 83100 66305 64756 29033];
deptrefvecs{5}=[560 6766 7045 17690 9850 3715 6100 25258]; %colon,Pan 2006-2013
deptrefvecs{6}=[5575 775 32750 37650 48038 9400 9117 3970]; %atlantico norte, 2007-2014
deptrefvecs{7}=[3880 598 13448 1363 1575 10367 20663 38886 35108 36151 20555 3297]; %atlantico sur, 2003-2014
deptrefvec{8}=[2549 500 3400 2423.333333 1446.666667 470 1825 3180 20750 1150 884 618]; %Izabal, 2003-2014
deptrefvecs{9}=[2607 1328.5 50 2580 19250 32350 25000 6980 11440]; %colon, Honduras, 2006-2014
% cntryrefvecs{1}=[20776 16324 56392 23744 23002 39326 65296 59360 78652 ...
% 146916 102396 76426 81620 152852]; %Guatemal, 2001-2014
% cntryrefvecs{2}=[109815 49916 114806 104823 109815 84857 94840 294503 ...
% 324453 1163038 978349 1227928 1187996 401060 276749]; %Panama
% cntryrefvecs{3}=[770 1275 3450 5000 23450 23779 92661 159368 114905 92472 ...
% 73836 191770 209586 269160]; %Costa Rica, 2001-2014
% cntryrefvecs{4}=[21270 12762 18080 30842 54239 61684 60620 42541 94653 ...
% 154210 163781 246735 186115 166523 140329]; %Honduras
% cntryrefvecs{5}=[1200 4000 4714 9750 20905 8870 5260 25175 46327 13200 ...
% 14717 5025 13143 16516 6127]; %Nicaragua
%%% Minimum flows from Zoe's numbers
cntryrefvecs{1}=[8518 23850.4 18739.6 64736.8 27257.6 26405.8 45145.4 ...
74958.4 68144 90290.8 168656.4 117548.4 87735.4 93698 175470.8]; %Guatemal, 2001-2014
cntryrefvecs{2}=[18739.6 8518 19591.4 17887.8 18739.6 14480.6 16184.2 ...
50256.2 55367 198469.4 166952.8 209542.8 202728.4 449750.4 386717.2]; %Panama
cntryrefvecs{3}=[1703.6 1703.6 1703.6 1703.6 2555.4 7666.2 9369.8 42590 ...
80069.2 70699.4 81772.8 68144 137139.8 160138.4 256391.8]; %Costa Rica, 2001-2014
cntryrefvecs{4}=[17036 10221.6 14480.6 24702.2 43441.8 49404.4 48552.6 ...
34072 75810.2 123511 131177.2 197617.6 149065 127770 117548.4]; %Honduras
cntryrefvecs{5}=[851.8 2555.4 4259 6814.4 12777 5110.8 3407.2 10221.6 ...
20443.2 8518 9369.8 4259 8518 10221.6 6814.4]; %Nicaragua
%%% Load null model flow results
% load noflows
% Peten Flows
h10=figure;
set(h10,'color','white')
labels={'05','06','07','08','09','10','11','12','13'};
% subflows=cat(1,DEPTFLOWS{1,:});
subflows=cat(1,NOFLOWS{1,:});
% subflows=cat(1,CNTRYFLOWS{1,:});
% labels={'01','02','03','04','05','06','07','08','09','10','11','12','13','14'};
p1=subflows(:,5:13);
% p1=subflows(:,1:14);
p2=deptrefvecs{1};
% p2=cntryrefvecs{1};
line1=parallelcoords(p1,'labels',labels,'quantile',0.25);
line1(1).LineWidth=2;
line1(2).LineWidth=1.5;
line1(3).LineWidth=1.5;
xlim([1 9])
% xlim([1 14])
hold on
line2=parallelcoords(p2);
hold off
line2.Color='red';
line2.LineWidth=2;
xpoints=line1(2).XData;
lower=line1(2).YData;
upper=line1(3).YData;
color=[0.5 0.5 1];
[fillhandle,msg]=jbfill(xpoints,upper,lower,color);
% xpoints=line1_1(2).XData;
% lower=line1_1(2).YData;
% upper=line1_1(3).YData;
% color=[0.5 0.5 0.5];
% [fillhandle,msg]=jbfill(xpoints,upper,lower,color);
lgd=legend([line1(1) line2],'Model Output','CCDB Dept. Data','Location',...
'NorthWest');
lgd.FontSize=14;
set(gca,'FontSize',12)
ylabel('Cocaine Shipment Volume(kg)')
xlabel('Year')
saveas(h10,'Flows_Peten_coords','tif')
% Darien Flows
h10_1=figure;
set(h10_1,'color','white')
labels={'09','10','11','12','13','14'};
% subflows=cat(1,DEPTFLOWS{2,:});
% subflows=cat(1,DEPTFLOWS{2,:})+cat(1,DEPTFLOWS{3,:});
subflows=cat(1,NOFLOWS{2,:})+cat(1,NOFLOWS{3,:});
% subflows=cat(1,CNTRYFLOWS{2,:});
% subflows=cat(1,NOCNTRYFLOWS{2,:});
% labels={'01','02','03','04','05','06','07','08','09','10','11','12','13','14'};
p1=subflows(:,9:14);
% p1=subflows(:,1:14);
p2=deptrefvecs{2};
% p2=cntryrefvecs{2};
line1=parallelcoords(p1,'labels',labels,'quantile',0.25);
line1(1).LineWidth=2;
line1(2).LineWidth=1.5;
line1(3).LineWidth=1.5;
xlim([1 6])
% xlim([1 14])
hold on
line2=parallelcoords(p2);
hold off
line2.Color='red';
line2.LineWidth=2;
xpoints=line1(2).XData;
lower=line1(2).YData;
upper=line1(3).YData;
color=[0.5 0.5 1];
[fillhandle,msg]=jbfill(xpoints,upper,lower,color);
% xpoints=line1_1(2).XData;
% lower=line1_1(2).YData;
% upper=line1_1(3).YData;
% color=[0.5 0.5 1];
% [fillhandle,msg]=jbfill(xpoints,upper,lower,color);
lgd=legend([line1(1) line2],'Model Output','CCDB Dept. Data','Location',...
'NorthWest');
lgd.FontSize=12;
set(gca,'FontSize',14)
ylabel('Cocaine Shipment Volume(kg)')
xlabel('Year')
saveas(h10_1,'Flows_Darien_coords','tif')
%Costa Rica Flows
h10_2=figure;
set(h10_2,'color','white')
labels={'01','02','03','04','05','06','07','08','09','10','11','12','13','14'};
% subflows=cat(1,CNTRYFLOWS{4,:});
subflows=cat(1,NOCNTRYFLOWS{4,:});
% labels={'07','08','09','10','11','12','13','14'};
% subflows=cat(1,DEPTFLOWS{4,:});
p1=subflows(:,1:14);
p2=deptrefvecs{3};
line1=parallelcoords(p1,'labels',labels,'quantile',0.25);
line1(1).LineWidth=2;
line1(2).LineWidth=1.5;
line1(3).LineWidth=1.5;
xlim([1 14])
hold on
line2=parallelcoords(p2);
hold off
line2.Color='red';
line2.LineWidth=2;
xpoints=line1(2).XData;
lower=line1(2).YData;
upper=line1(3).YData;
color=[0.5 0.5 1];
[fillhandle,msg]=jbfill(xpoints,upper,lower,color);
xpoints=line1_1(2).XData;
lower=line1_1(2).YData;
upper=line1_1(3).YData;
color=[0.5 0.5 0.5];
[fillhandle,msg]=jbfill(xpoints,upper,lower,color);
lgd=legend([line1(1) line2],'Model Output','CCDB Dept. Data','Location',...
'NorthWest');
lgd.FontSize=12;
set(gca,'FontSize',14)
ylabel('Cocaine Shipment Volume(kg)')
xlabel('Year')
saveas(h10_2,'Flows_CostaRica_coords','tif')
% Gracias Flows
h10_3=figure;
set(h10_3,'color','white')
labels={'05','06','07','08','09','10','11','12','13','14'};
subflows=cat(1,DEPTFLOWS{5,:});
% subflows=cat(1,NOFLOWS{5,:});
% labels={'01','02','03','04','05','06','07','08','09','10','11','12','13','14'};
% subflows=cat(1,CNTRYFLOWS{5,:});
% subflows=cat(1,NOCNTRYFLOWS{5,:});
p1=subflows(:,5:14);
% p1=subflows(:,1:14);
p2=deptrefvecs{4};
% p2=cntryrefvecs{4};
line1=parallelcoords(p1,'labels',labels,'quantile',0.25);
line1(1).LineWidth=2;
line1(2).LineWidth=1.5;
line1(3).LineWidth=1.5;
xlim([1 10])
% xlim([1 14])
hold on
line2=parallelcoords(p2);
hold off
line2.Color='red';
line2.LineWidth=2;
xpoints=line1(2).XData;
lower=line1(2).YData;
upper=line1(3).YData;
color=[0.5 0.5 1];
[fillhandle,msg]=jbfill(xpoints,upper,lower,color);
% xpoints=line1_1(2).XData;
% lower=line1_1(2).YData;
% upper=line1_1(3).YData;
% color=[0.5 0.5 1];
% [fillhandle,msg]=jbfill(xpoints,upper,lower,color);
lgd=legend([line1(1) line2],'Model Output','CCDB Dept. Data','Location',...
'NorthWest');
lgd.FontSize=12;
set(gca,'FontSize',14)
ylabel('Cocaine Shipment Volume(kg)')
xlabel('Year')
saveas(h10_3,'Flows_Gracias_coords','tif')
% Colon, Panama Flows
h10_5=figure;
set(h10_5,'color','white')
labels={'06','07','08','09','10','11','12','13'};
subflows=cat(1,DEPTFLOWS{6,:});
% subflows=cat(1,NOFLOWS{6,:});
p1=subflows(:,6:13);
p2=deptrefvecs{5};
line1=parallelcoords(p1,'labels',labels,'quantile',0.25);
line1(1).LineWidth=2;
line1(2).LineWidth=1.5;
line1(3).LineWidth=1.5;
xlim([1 8])
hold on
line2=parallelcoords(p2);
hold off
line2.Color='red';
line2.LineWidth=2;
xpoints=line1(2).XData;
lower=line1(2).YData;
upper=line1(3).YData;
color=[0.5 0.5 1];
[fillhandle,msg]=jbfill(xpoints,upper,lower,color);
% xpoints=line1_1(2).XData;
% lower=line1_1(2).YData;
% upper=line1_1(3).YData;
% color=[0.5 0.5 1];
% [fillhandle,msg]=jbfill(xpoints,upper,lower,color);
lgd=legend([line1(1) line2],'Model Output','CCDB Dept. Data','Location',...
'NorthWest');
lgd.FontSize=12;
set(gca,'FontSize',14)
ylabel('Cocaine Shipment Volume(kg)')
xlabel('Year')
saveas(h10_5,'Flows_Colon_coords','tif')
% Norte Flows
h10_4=figure;
set(h10_4,'color','white')
labels={'07','08','09','10','11','12','13','14'};
% subflows=cat(1,DEPTFLOWS{7,:});
subflows=cat(1,NOFLOWS{7,:});
% labels={'01','02','03','04','05','06','07','08','09','10','11','12','13','14'};
% subflows=cat(1,CNTRYFLOWS{7,:});
% subflows=cat(1,NOCNTRYFLOWS{7,:});
p1=subflows(:,7:14);
% p1=subflows(:,1:14);
p2=deptrefvecs{6};
% p2=cntryrefvecs{5};
line1=parallelcoords(p1,'labels',labels,'quantile',0.25);
line1(1).LineWidth=2;
line1(2).LineWidth=1.5;
line1(3).LineWidth=1.5;
xlim([1 8])
xpoints=line1(2).XData;
lower=line1(2).YData;
upper=line1(3).YData;
color=[0.5 0.5 1];
[fillhandle,msg]=jbfill(xpoints,upper,lower,color);
% xlim([1 14])
hold on
line2=parallelcoords(p2);
hold off
line2.Color='red';
line2.LineWidth=2;
xpoints=line1_1(2).XData;
lower=line1_1(2).YData;
upper=line1_1(3).YData;
color=[0.5 0.5 0.5];
[fillhandle,msg]=jbfill(xpoints,upper,lower,color);
lgd=legend([line1(1) line2],'Model Output','CCDB Dept. Data','Location',...
'NorthWest');
lgd.FontSize=12;
set(gca,'FontSize',14)
ylabel('Cocaine Shipment Volume(kg)')
xlabel('Year')
saveas(h10_4,'Flows_Norte_coords','tif')
% Atlantico Sur Flows
h10_10=figure;
set(h10_10,'color','white')
labels={'03','04','05','06','07','08','09','10','11','12','13','14'};
subflows=cat(1,DEPTFLOWS{9,:});
% subflows=cat(1,NOFLOWS{9,:});
% subflows=cat(1,CNTRYFLOWS{1,:});
% labels={'01','02','03','04','05','06','07','08','09','10','11','12','13','14'};
p1=subflows(:,3:14);
% p1=subflows(:,1:14);
p2=deptrefvecs{7};
% p2=cntryrefvecs{1};
line1=parallelcoords(p1,'labels',labels,'quantile',0.25);
line1(1).LineWidth=2;
line1(2).LineWidth=1.5;
line1(3).LineWidth=1.5;
xlim([1 12])
% xlim([1 14])
hold on
line2=parallelcoords(p2);
hold off
line2.Color='red';
line2.LineWidth=2;
xpoints=line1(2).XData;
lower=line1(2).YData;
upper=line1(3).YData;
color=[0.5 0.5 1];
[fillhandle,msg]=jbfill(xpoints,upper,lower,color);
% xpoints=line1_1(2).XData;
% lower=line1_1(2).YData;
% upper=line1_1(3).YData;
% color=[0.5 0.5 0.5];
% [fillhandle,msg]=jbfill(xpoints,upper,lower,color);
lgd=legend([line1(1) line2],'Model Output','CCDB Dept. Data','Location',...
'NorthWest');
lgd.FontSize=14;
set(gca,'FontSize',12)
ylabel('Cocaine Shipment Volume(kg)')
xlabel('Year')
saveas(h10_10,'Flows_Sur_coords','tif')
% Colon, Honduras Flows
h10_11=figure;
set(h10_11,'color','white')
labels={'06','07','08','09','10','11','12','13','14'};
% subflows=cat(1,DEPTFLOWS{11,:});
subflows=cat(1,NOFLOWS{11,:});
% subflows=cat(1,CNTRYFLOWS{1,:});
% labels={'01','02','03','04','05','06','07','08','09','10','11','12','13','14'};
p1=subflows(:,6:14);
% p1=subflows(:,1:14);
p2=deptrefvecs{9};
% p2=cntryrefvecs{1};
line1=parallelcoords(p1,'labels',labels,'quantile',0.25);
line1(1).LineWidth=2;
line1(2).LineWidth=1.5;
line1(3).LineWidth=1.5;
xlim([1 9])
% xlim([1 14])
hold on
line2=parallelcoords(p2);
hold off
line2.Color='red';
line2.LineWidth=2;
xpoints=line1(2).XData;
lower=line1(2).YData;
upper=line1(3).YData;
color=[0.5 0.5 1];
[fillhandle,msg]=jbfill(xpoints,upper,lower,color);
% xpoints=line1_1(2).XData;
% lower=line1_1(2).YData;
% upper=line1_1(3).YData;
% color=[0.5 0.5 0.5];
% [fillhandle,msg]=jbfill(xpoints,upper,lower,color);
lgd=legend([line1(1) line2],'Model Output','CCDB Dept. Data','Location',...
'NorthWest');
lgd.FontSize=14;
set(gca,'FontSize',12)
ylabel('Cocaine Shipment Volume(kg)')
xlabel('Year')
saveas(h10_11,'Flows_Colon_Hon_coords','tif')
% %%% Single run
% % % h2_1=figure;
% % set(h2_1,'Color','white')
subplot(2,1,1)
[hAx,hl1,hl2]=plotyy(1:TMAX,nactnodes(1,:),1:TMAX,slperevent(1,:));
ylabel(hAx(1),'Number of Routes')
ylabel(hAx(2),'Average S&L Volume (kg)')
% [hAx,hl1,hl2]=plotyy(1:TMAX,nactnodes(1,:),1:TMAX,slval(1,:)./1000000);
% ylabel(hAx(1),'Number of Routes')
% ylabel(hAx(2),'Average S&L Value ($Mil)')
xlim(hAx(1),[1 TMAX])
xlim(hAx(2),[1 TMAX])
legend('Active Routes','S&L Volume','Orientation','vertical','Location','NorthWest')
subplot(2,1,2)
[hAx2,h21,h22]=plotyy(1:TMAX,nactnodes(2,:),1:TMAX,slperevent(2,:));
ylabel(hAx2(1),'Number of Routes')
ylabel(hAx2(2),'Average S&L Volume (kg)')
% [hAx2,h21,h22]=plotyy(1:TMAX,nactnodes(2,:),1:TMAX,slval(2,:)./1000000);
% ylabel(hAx2(1),'Number of Routes')
% ylabel(hAx2(2),'Average S&L Value ($Mil)')
xlim(hAx2(1),[1 TMAX])
xlim(hAx2(2),[1 TMAX])
xlabel('Month')
%
%%% Value per shipment
subplot(2,1,1)
% [hAx,hl1,hl2]=plotyy(1:TMAX,nactnodes(1,:),1:TMAX,slperevent(1,:));
% ylabel(hAx(1),'Number of Routes')
% ylabel(hAx(2),'Average S&L Volume (kg)')
valkg=slval./slperevent;
valkg(isnan(valkg))=0;
[hAx,hl1,hl2]=plotyy(1:TMAX,nactnodes(1,:),1:TMAX,valkg(1,:));
ylabel(hAx(1),'Number of Routes')
ylabel(hAx(2),'S&L Value ($/kilo)')
xlim(hAx(1),[1 TMAX])
xlim(hAx(2),[1 TMAX])
legend('Active Routes','S&L VAlue','Orientation','vertical','Location','NorthWest')
subplot(2,1,2)
% [hAx2,h21,h22]=plotyy(1:TMAX,nactnodes(2,:),1:TMAX,slperevent(2,:));
% ylabel(hAx2(1),'Number of Routes')
% ylabel(hAx2(2),'Average S&L Volume (kg)')
[hAx2,h21,h22]=plotyy(1:TMAX,nactnodes(2,:),1:TMAX,valkg(2,:));
ylabel(hAx2(1),'Number of Routes')
ylabel(hAx2(2),'S&L Value ($/kilo)')
xlim(hAx2(1),[1 TMAX])
xlim(hAx2(2),[1 TMAX])
xlabel('Month')
%
h3=figure;
set(h3,'color','white')
geoshow(CAadm0,'FaceColor',[1 1 1])
colormap(gray)
hold on
for n=2:nnodes-1
if t_firstmov(n) == 0
continue
else
% plot(nodelon(n),nodelat(n),'o','MarkerSize',5,'MarkerEdgeColor','k','MarkerFaceColor',...
% [1-t_firstmov(n)/max(t_firstmov) t_firstmov(n)/max(t_firstmov) 0])
plot(nodelon(n),nodelat(n),'o','MarkerSize',5,'MarkerEdgeColor','k')
end
end
%red is early, green is late
title('First Time Step of Cocaine Movements')
xlabel('Longitude')
ylabel('Latitude')
% saveas(h3,'Earliest_Movement','png')
%%%% Single run from results file
NNODES=size(activeroute,1);
h3=figure;
set(h3,'color','white','Visible','off')
geoshow(CAadm0,'FaceColor',[1 1 1])
hold on
for n=2:NNODES-1
if t_firstmov(n) == 0
continue
else
% plot(NodeTable.Lon(n),NodeTable.Lat(n),'o','MarkerSize',5,'MarkerEdgeColor','k','MarkerFaceColor',...
% [1-t_firstmov(n)/max(t_firstmov) t_firstmov(n)/max(t_firstmov) 0])
plot(NodeTable.Lon(n),NodeTable.Lat(n),'o','MarkerSize',5,'MarkerEdgeColor','k','MarkerFaceColor',...
[0 1-t_firstmov(n)/max(t_firstmov) 0])
end
end
title('Average First Time Step of Cocaine Movements')
xlabel('Longitude')
ylabel('Latitude')
%%% Create network map from results file
NNODES=size(activeroute,1);
trgtyr=116;
h13=figure;
set(h13,'color','white')
geoshow(CAadm0,'FaceColor',[1 1 1])
hold on
plot(NodeTable.Lon,NodeTable.Lat,'o','MarkerSize',5,...
'MarkerEdgeColor','k','MarkerFaceColor',[0.5 0.5 0.5])
for n=1:NNODES-1
if isempty(activeroute{n,trgtyr})==1
continue
else
plot(NodeTable.Lon(n),NodeTable.Lat(n),'o','MarkerSize',5,...
'MarkerEdgeColor','k','MarkerFaceColor','r')
actrte=activeroute{n,trgtyr};
for k=1:length(actrte)
plot([NodeTable.Lon(n) NodeTable.Lon(actrte(k))],...
[NodeTable.Lat(n) NodeTable.Lat(actrte(k))],'-k','LineWidth',0.5)
end
end
end
title('Trafficking Nodes and Active Routes')
saveas(h13,'NetworkMap','png')
%
% %%% Locate Department statistics
% nnodes=NNODES;
% TMAX=180;
cntrynames={'Guatemala','Panama','Panama','Costa Rica','Honduras','Panama','Nicaragua','Panama'};
deptnames={'Pet','Dari','Ember','Puntarenas','Grac','Col','Atlantico Norte','Veraguas'};
cntryind=zeros(length(CAattr1),length(deptnames));
deptind=zeros(length(CAattr1),length(deptnames));
hind=zeros(1,length(deptnames));
chind=cell(1,length(deptnames));
slctnodes=cell(1,length(deptnames));
cslctnodes=cell(1,length(deptnames));
deptflows=zeros(length(deptnames),TMAX);
deptflows_ts=zeros(length(deptnames),TMAX/12);
cntryflows=zeros(length(deptnames),TMAX);
cntryflows_ts=zeros(length(deptnames),TMAX/12);
deptslvol=zeros(length(deptnames),TMAX);
deptslvol_ts=zeros(length(deptnames),TMAX/12);
deptintrt=zeros(length(deptnames),TMAX);
deptintrt_ts=zeros(length(deptnames),TMAX/12);
tsind=ceil((1:TMAX)./12);
for jj=1:length(cntrynames)
for ii=1:length(CAattr1)
cntryind(ii,jj)=strncmp(cntrynames(jj),CAattr1(ii).ADM0_NAME,length(cntrynames{jj}));
deptind(ii,jj)=strncmp(deptnames(jj),CAattr1(ii).ADM1_NAME,length(deptnames{jj}));
end
hind(jj)=find(cntryind(:,jj) == 1 & deptind(:,jj) == 1);
chind(jj)=mat2cell(find(cntryind(:,jj) == 1),length(find(cntryind(:,jj) == 1)),1);
nodeids=NodeTable.ID(NodeTable.DeptCode == CAattr1(hind(jj)).ADM1_CODE);
cnodeids=NodeTable.ID(ismember(NodeTable.DeptCode,cat(1,CAattr1(chind{jj}).ADM1_CODE)));
slctnodes(jj)=mat2cell(nodeids,length(nodeids),1);
cslctnodes(jj)=mat2cell(cnodeids,length(cnodeids),1);
deptflows(jj,:)=sum(OUTFLOW(slctnodes{jj},:),1); %single run code
cntryflows(jj,:)=sum(OUTFLOW(cslctnodes{jj},:),1);
test=reshape(sum(slsuccess,1),nnodes,TMAX); %single run code
deptslvol(jj,:)=sum(test(slctnodes{jj},:),1); %single run code
% deptflows(jj,:)=sum(mediandlvr(slctnodes{jj},:),1);
% deptslvol(jj,:)=sum(medianslvol(slctnodes{jj},:),1);
deptintrt(jj,:)=deptslvol(jj,:)./(deptslvol(jj,:)+deptflows(jj,:));
for ts=1:TMAX/12
deptflows_ts(jj,ts)=sum(deptflows(jj,tsind==ts));
cntryflows_ts(jj,ts)=sum(cntryflows(jj,tsind==ts));
deptslvol_ts(jj,ts)=sum(deptslvol(jj,tsind==ts));
deptintrt_ts(jj,:)=deptslvol_ts(jj,:)./(deptslvol_ts(jj,:)+deptflows_ts(jj,:));
end
end
h4=figure;
% set(h4,'Color','white','Visible','off')
set(h4,'Color','white')
plot(2005:2013,deptrefvecs{1},'-b','LineWidth',3)
hold on
plot(2005:2013,deptflows_ts(1,5:13),'-r','LineWidth',3)
ylabel('Trafficking Volume (kg)')
xlabel('Year')
legend('CCDB Data','Model Output','Location','NorthWest')
saveas(h4,'Flows_Peten','png')
h4_1=figure;
% set(h4_1,'Color','white','Visible','off')
set(h4_1,'Color','white')
plot(2009:2014,deptrefvecs{2},'-b','LineWidth',3)
hold on
plot(2009:2014,deptflows_ts(2,9:14),'-r','LineWidth',3)
ylabel('Trafficking Volume (kg)')
xlabel('Year')
legend('CCDB Data','Model Output','Location','NorthWest')
saveas(h4_1,'Flows_Darien','png')
h4_2=figure;
% set(h4_2,'Color','white','Visible','off')
set(h4_2,'Color','white')
plot(2001:2014,deptrefvecs{3},'-b','LineWidth',3)
hold on
plot(2001:2014,cntryflows_ts(4,1:14),'-r','LineWidth',3)
ylabel('Trafficking Volume (kg)')
xlabel('Year')
legend('CCDB Data','Model Output','Location','NorthWest')
saveas(h4_2,'Flows_Punta','png')
h4_3=figure;
% set(h4_3,'Color','white','Visible','off')
set(h4_3,'Color','white')
plot(2005:2014,deptrefvecs{4},'-b','LineWidth',3)
hold on
plot(2005:2014,deptflows_ts(5,5:14),'-r','LineWidth',3)
ylabel('Trafficking Volume (kg)')
xlabel('Year')
legend('CCDB Data','Model Output','Location','NorthWest')
saveas(h4_3,'Flows_Gracias','png')
h4_4=figure;
set(h4_4,'Color','white','Visible','off')
plot(2006:2013,colon(1,:),'-b','LineWidth',3)
hold on
plot(2006:2013,deptflows_ts(6,6:13),'-r','LineWidth',3)
ylabel('Trafficking Volume (kg)')
xlabel('Year')
legend('CCDB Data','Model Output','Location','NorthWest')
saveas(h4_4,'Flows_Colon','png')
h4_5=figure;
% set(h4_5,'Color','white','Visible','off')
set(h4_5,'Color','white')
plot(2007:2014,deptflows_ts(7,7:14),'-r','LineWidth',3)
hold on
plot(2007:2014,deptrefvecs{6},'-b','LineWidth',3)
ylabel('Trafficking Volume (kg)')
xlabel('Year')
legend('Model Output','CCDB Data','Location','NorthWest')
saveas(h4_5,'Flows_Norte','png')
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%%% Multiple runs
for erun=1:ERUNS
h2_1=figure;
set(h2_1,'Color','white','Visible','off')
subplot(2,1,1)
[hAx,hl1,hl2]=plotyy(1:TMAX,medianrtes(1,:,erun),1:TMAX,mediansl(1,:,erun));
ylabel(hAx(1),'Number of Routes')
ylabel(hAx(2),'Average S&L Volume (kg)')
% [hAx,hl1,hl2]=plotyy(1:TMAX,nactnodes(1,:),1:TMAX,slval(1,:)./1000000);
% ylabel(hAx(1),'Number of Routes')
% ylabel(hAx(2),'Average S&L Value ($Mil)')
xlim(hAx(1),[1 TMAX])
xlim(hAx(2),[1 TMAX])
legend('Active Routes','S&L Volume','Orientation','vertical','Location','NorthWest')
subplot(2,1,2)
[hAx2,h21,h22]=plotyy(1:TMAX,medianrtes(2,:,erun),1:TMAX,mediansl(2,:,erun));
ylabel(hAx2(1),'Number of Routes')
ylabel(hAx2(2),'Average S&L Volume (kg)')
% [hAx2,h21,h22]=plotyy(1:TMAX,nactnodes(2,:),1:TMAX,slval(2,:)./1000000);
% ylabel(hAx2(1),'Number of Routes')
% ylabel(hAx2(2),'Average S&L Value ($Mil)')
xlim(hAx2(1),[1 TMAX])
xlim(hAx2(2),[1 TMAX])
xlabel('Month')
saveas(h2_1,sprintf('MedianVolume_%d',erun),'png')
end
%%% Median Volume
mediansl_ts=reshape(sum(mediansl,1),ERUNS,TMAX);
medianrtes_ts=reshape(sum(medianrtes,1),ERUNS,TMAX);
h1=figure;
set(h1,'color','white')
set(gca,'FontSize',14)
boxplot(reshape(median(totslevents,2),MRUNS,ERUNS),1:ERUNS,'color','k','labels',...
{'Low','Low Mod.','Mod.','High Mod.','High'},'extrememode','compress')
xlabel('Interdiction Capacity')
ylabel('Median Volume Seized (kg)')
saveas(h1,'MdnVol_SL_varcptcy','tif')
h1_1=figure;
set(h1_1,'color','white')
set(gca,'FontSize',14)
boxplot(reshape(median(totactrtes,2),MRUNS,ERUNS),1:ERUNS,'color','k','labels',...
{'Low','Low Mod.','Mod.','High Mod.','High'})
xlabel('Interdiction Capacity')
ylabel('Median Annual Number of Active Routes')
saveas(h1_1,'Annual_Routes_varcpcty','tif')
%%% Total Volume
h1_3=figure;
set(h1_3,'color','white')
set(gca,'FontSize',14)
boxplot(reshape(sum(totslevents,2),MRUNS,ERUNS),1:ERUNS,'color','k','labels',...
{'Low','Low Mod.','Mod.','High Mod.','High'},'extrememode','compress')
xlabel('Interdiction Capacity')
ylabel('Total Volume Seized (kg)')
saveas(h1_3,'TotVol_SL_varcptcy','tif')
%%% Median Value
h1_4=figure;
set(h1_4,'color','white')
set(gca,'FontSize',14)
boxplot(reshape(median(totvalevents,2),MRUNS,ERUNS),1:ERUNS,'color','k','labels',...
{'Low','Low Mod.','Mod.','High Mod.','High'},'extrememode','compress')
xlabel('Interdiction Capacity')
ylabel('Median Value Seized ($/kg)')
saveas(h1_4,'MdnVal_SL_varcptcy','tif')
%%% Total Value
h1_5=figure;
set(h1_5,'color','white')
set(gca,'FontSize',14)
boxplot(reshape(sum(totvalevents,2),MRUNS,ERUNS),1:ERUNS,'color','k','labels',...
{'Low','Low Mod.','Mod.','High Mod.','High'},'extrememode','compress')
xlabel('Interdiction Capacity')
ylabel('Total Value Seized ($/kg)')
saveas(h1_5,'TotVal_SL_varcptcy','tif')
%%% Amount that gets through
h1_6=figure;
set(h1_6,'color','white')
set(gca,'FontSize',14)
boxplot(reshape(median(DLVR,2),MRUNS,ERUNS),1:ERUNS,'color','k','labels',...
{'Low','Low Mod.','Mod.','High Mod.','High'},'extrememode','compress')
xlabel('Interdiction Capacity')
ylabel('Median Volume Delivered (kg)')
saveas(h1_6,'MdnDlvr_SL_varcptcy','tif')
h1_7=figure;
set(h1_7,'color','white')
set(gca,'FontSize',14)
boxplot(reshape(sum(DLVR,2),MRUNS,ERUNS),1:ERUNS,'color','k','labels',...
{'Low','Low Mod.','Mod.','High Mod.','High'},'extrememode','compress')
xlabel('Interdiction Capacity')
ylabel('Total Volume Delivered (kg)')
saveas(h1_7,'TotDlvr_SL_varcptcy','tif')
%%% Number of active rotues and nodes
h1_8=figure;
set(h1_8,'color','white')
set(gca,'FontSize',14)
boxplot(reshape(ACTCHECK',MRUNS,ERUNS),1:ERUNS,'color','k','labels',...
{'Low','Low Mod.','Mod.','High Mod.','High'},'extrememode','compress')
xlabel('Interdiction Capacity')
ylabel('Median Active Nodes')
saveas(h1_8,'ActNodes_varcptcy','tif')
% h1_9=figure;
% set(h1_9,'color','white')
% boxplot(reshape(PMRYMV',MRUNS,ERUNS),1:ERUNS,'color','b','labels',...
% {'Low','Low Mod.','Mod.','High Mod.','High'},'extrememode','compress')
% xlabel('Interdiction Capacity')
% ylabel('Median Primary Movements')
% saveas(h1_9,'primemoves_varcptcy','png')
valuedata=zeros(MRUNS*ERUNS,1);
for m=1:length(totvalevents(:,1))
valuedata(m)=median(totvalevents(m,totvalevents(m,:)~=0));
% valuedata(m)=mean(totvalevents(m,totvalevents(m,:)~=0));
end
h1_2=figure;
set(h1_2,'color','white')
boxplot(reshape(valuedata,MRUNS,ERUNS),1:ERUNS,'color','k','labels',...
{'Low','Low Mod.','Mod.','High Mod.','High'},'extrememode','compress')
xlabel('Interdiction Capacity')
ylabel('Median Value Seized ($/kg)')
saveas(h1_2,'Annual_VAL_varcptcy','png')
for er=1:ERUNS
h3=figure;
set(h3,'color','white')