p = bio.lobster::load.environment()
la()
figdir = file.path(project.datadirectory("bio.lobster"),"figures","LFA3438Framework2019")
#####################################################
######## Plot Data
# R1 = sub-legal sized lobsters expected to recruit to fishery after on more molt
AllSurveyDataR1 = SurveyTowData(Size.range=c(70,82.5),Sex = c(1,2,3), Years=1970:2018,redo=T,lab="R1")
#AllSurveyDataR1 =assignArea(AllSurveyDataR1,coords=c("X","Y"))
surveyplotdata = AllSurveyDataR1
surveyplotdata$fill.cols=NA
surveyplotdata$fill.cols[surveyplotdata$survey=="LobsterNest"] = rgb(1,0,0,0.7)
surveyplotdata$fill.cols[surveyplotdata$survey=="LobsterBalloon"] = rgb(1,0,0,0.7)
surveyplotdata$fill.cols[surveyplotdata$survey=="Scallop"] = rgb(0,0,1,0.7)
surveyplotdata$fill.cols[surveyplotdata$survey=="DFOsummer"] = rgb(0,1,0,0.7)
surveyplotdata$fill.cols[surveyplotdata$survey=="NEFSCfall"] = rgb(0,1,1,0.7)
surveyplotdata$fill.cols[surveyplotdata$survey=="NEFSCspring"] = rgb(0,1,1,0.7)
for(i in 1970:2018){
data = with(subset(surveyplotdata,year==i),data.frame(den=LobDen,x=X,y=Y,line.cols='black',fill.cols=fill.cols))
zeros = subset(data,den==0)
data = subset(data,den>0)
if(nrow(data)==0) next
# map
pdf(file.path( figdir,paste0("SurveyBubblesR1",i,".pdf")),8,8)
LobsterMap("34-38",title=paste("Surveys R1",i),isobath=seq(50,500,50),bathcol=rgb(0,0,1,0.2),bathy.source='bathy')
points(y~x,zeros,pch=4,col=zeros$fill.cols)
surveyBubbles(data,scaler=0.5,pie=F)
dev.off()
}
pdf(file.path( figdir,paste0("SurveyBubblesR1.pdf")),8,8)
for(i in 1970:2018){
data = with(subset(surveyplotdata,year==i),data.frame(den=LobDen,x=X,y=Y,line.cols='black',fill.cols=fill.cols))
zeros = subset(data,den==0)
data = subset(data,den>0)
if(nrow(data)==0) next
# map
LobsterMap("34-38",title=paste("Surveys R1",i),isobath=seq(50,500,50),bathcol=rgb(0,0,1,0.2),bathy.source='bathy')
points(y~x,zeros,pch=4,col=zeros$fill.cols)
surveyBubbles(data,scaler=0.5,pie=F)
}
dev.off()
# R0 = legal sized lobsters that have recruited to fishery after their last molt
AllSurveyDataR0 = SurveyTowData(Size.range=c(82.5,95),Sex = c(1,2,3), Years=1970:2018,redo=T,lab="R0")
surveyplotdata = AllSurveyDataR0
surveyplotdata$fill.cols=NA
surveyplotdata$fill.cols[surveyplotdata$survey=="LobsterNest"] = rgb(1,0,0,0.7)
surveyplotdata$fill.cols[surveyplotdata$survey=="LobsterBalloon"] = rgb(1,0,0,0.7)
surveyplotdata$fill.cols[surveyplotdata$survey=="Scallop"] = rgb(0,0,1,0.7)
surveyplotdata$fill.cols[surveyplotdata$survey=="DFOsummer"] = rgb(0,1,0,0.7)
surveyplotdata$fill.cols[surveyplotdata$survey=="NEFSCfall"] = rgb(0,1,1,0.7)
surveyplotdata$fill.cols[surveyplotdata$survey=="NEFSCspring"] = rgb(0,1,1,0.7)
pdf(file.path( figdir,paste0("SurveyBubblesR0.pdf")),8,8)
for(i in 1970:2018){
data = with(subset(surveyplotdata,year==i),data.frame(den=LobDen,x=X,y=Y,line.cols='black',fill.cols=fill.cols))
zeros = subset(data,den==0)
data = subset(data,den>0)
if(nrow(data)==0) next
# map
LobsterMap("34-38",title=paste("Surveys R0",i),isobath=seq(50,500,50),bathcol=rgb(0,0,1,0.2),bathy.source='bathy')
points(y~x,zeros,pch=4,col=zeros$fill.cols)
surveyBubbles(data,scaler=0.5,pie=F)
}
dev.off()
for(i in 1970:2018){
data = with(subset(surveyplotdata,year==i),data.frame(den=LobDen,x=X,y=Y,line.cols='black',fill.cols=fill.cols))
zeros = subset(data,den==0)
data = subset(data,den>0)
if(nrow(data)==0) next
# map
pdf(file.path( figdir,paste0("SurveyBubblesR0",i,".pdf")),8,8)
LobsterMap("34-38",title=paste("Surveys R0",i),isobath=seq(50,500,50),bathcol=rgb(0,0,1,0.2),bathy.source='bathy')
points(y~x,zeros,pch=4,col=zeros$fill.cols)
surveyBubbles(data,scaler=0.5,pie=F)
dev.off()
}
### Lobster Survey data: Looking at the proportion of tows where lobster were measured
> sapply(1996:2016,function(i){nrow(subset(surveyLobsters34,YEAR==i&!is.na(NUM_MEASURED)&NUM_CAUGHT>0))/nrow(subset(surveyLobsters34,YEAR==i&NUM_CAUGHT>0))})->x
> names(x)=1996:2016
> x
1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000 0.3243243 0.6190476 0.6562500 0.5000000 0.6216216 0.6666667 0.5652174 1.0000000 0.9750000
2014 2015 2016
1.0000000 1.0000000 1.0000000
LobsterMap('34')
points(SET_LAT~SET_LONG,subset(surveyLobsters34,YEAR==2006&!is.na(NUM_MEASURED)&NUM_CAUGHT>0))
points(SET_LAT~SET_LONG,subset(surveyLobsters34,YEAR==2006&is.na(NUM_MEASURED)&NUM_CAUGHT>0),pch=16)
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