spatialVectors <- function(input=rel_rec)
{
#input <- rel_rec
#input<- iotc[1:10000,]
data("eez") # add on names of EEZs
data("seas")
#data("lme") # large marine ecosystems
data("fadmoratorium")
# make sure projections are all the same
#proj4string(lme) <- "+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs"
proj4string(eez) <- "+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs"
proj4string(fadmoratorium) <- "+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs"
proj4string(seas) <- "+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs"
# add on vectors for release locations
# find missing release locations
xx <- (1:length(input[,1]))[is.na(input$relonx)]
yy <- (1:length(input[,1]))[is.na(input$relaty)]
xx.yy<-unique(c(xx,yy))
if(length(xx.yy) > 0)
{
input_na <- input[xx.yy,]
input1 <- input[-c(xx.yy),]
#print('Missing locations')
}
else
{
#print('No missing locations')
input1 <- input
}
input_xy <- data.frame(longitude=input1$relonx,latitude=input1$relaty)
coordinates(input_xy) <- c("longitude", "latitude")
proj4string(input_xy) <- "+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs"
input_xy <- SpatialPointsDataFrame(input_xy,data=data.frame(speciescode=input1$speciescode))
# Add on EEZ
input1$reeez <- as.character(over(input_xy, eez)$EEZ)
input1$reeez[is.na(input1$eez)] <- 'High Seas'
input1$reeez[input1$eez == "Western Saharan Exclusive Economic Zone"] <- "Mauritanian Exclusive Economic Zone"
input1$reeez[input1$eez == "Disputed Western Sahara/Mauritania"] <- "Mauritanian Exclusive Economic Zone"
input1$reeez <- gsub('Exclusive Economic Zone','EEZ',input1$reeez)
# Add on LME
#input1$relme <- as.character(over(input_xy, lme)$LME_NAME)
# Add on Ocean or Sea
input1$reocean <- as.character(over(input_xy, seas)$NAME)
#In FadMoratorium-releases
input1$refmor <- over(input_xy, fadmoratorium)$re
if(length(xx.yy) > 0)
{
input_na$reeez <- NA
#input_na$relme <- NA
input_na$reocean <- NA
input_na$refmor <-NA
input <- rbind(input1,input_na)
}
else{
input <- input1
}
input$requad <- rep(NA,length(input[,1]))
input$requad[input$relonx >= -30 & input$relaty >= 10] <- 'NE'
input$requad[input$relonx >= -30 & input$relaty <= 10] <- 'SE'
input$requad[input$relonx < -30 & input$relaty > 10] <- 'NW'
input$requad[input$relonx < -30 & input$relaty < 10] <- 'SW'
#########################################
# add on vectors for recovery locations###
#########################################
# find missing recovery locations
xx <- (1:length(input[,1]))[is.na(input$rclonx)]
yy <- (1:length(input[,1]))[is.na(input$rclaty)]
xx.yy<-unique(c(xx,yy))
input_na <- input[xx.yy,]
input1 <- input[-c(xx.yy),]
input_xy <- data.frame(longitude=input1$rclonx,latitude=input1$rclaty)
coordinates(input_xy) <- c("longitude", "latitude")
proj4string(input_xy) <- "+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs"
input_xy <- SpatialPointsDataFrame(input_xy,data=data.frame(speciescode=input1$speciescode))
# Add on EEZ
input1$rceez <- as.character(over(input_xy, eez)$EEZ)
input1$rceez[is.na(input1$rceez)] <- 'High Seas'
input1$rceez[input1$rceez == "Western Saharan Exclusive Economic Zone"] <- "Mauritanian Exclusive Economic Zone"
input1$rceez[input1$rceez == "Disputed Western Sahara/Mauritania"] <- "Mauritanian Exclusive Economic Zone"
input1$rceez <- gsub('Exclusive Economic Zone','EEZ',input1$rceez)
# Add on LME
#input1$rclme <- as.character(over(input_xy, lme)$LME_NAME)
# Add on Ocean or Sea
input1$rcocean <- as.character(over(input_xy, seas)$NAME)
#In FadMoratorium-recoveries
input1$rcfmor <- over(input_xy, fadmoratorium)$re
input_na$rceez <- NA
#input_na$rclme <- NA
input_na$rcocean <- NA
input_na$rcfmor <- NA
input <- rbind(input1,input_na)
input$rcquad <- rep(NA,length(input[,1]))
input$rcquad[input$rclonx >= -30 & input$rclaty >= 10] <- 'NE'
input$rcquad[input$rclonx >= -30 & input$rclaty <= 10] <- 'SE'
input$rcquad[input$rclonx < -30 & input$rclaty > 10] <- 'NW'
input$rcquad[input$rclonx < -30 & input$rclaty < 10] <- 'SW'
input
}
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