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############################################################################################################################
# RoME: R code to perform multiple checks on MEDITS Survey data (TA, TB, TC and TE files) #
# Authors: I. Bitetto, W. Zupa, M.T. Spedicato #
# Coispa Tecnologia & Ricerca - Stazione sperimentale per lo Studio delle Risorse del Mare #
# If you have any comments or suggestions please contact the following e-mail address: bitetto@coispa.it, zupa@coispa.it #
# January 2022 #
############################################################################################################################
# Check between duration of the haul and distance (tolerance of 15%)
check_consistencyTA_distance<-function(DataTA, year, wd, suffix){
if (FALSE){
library(RoME)
wd <- tempdir()
suffix=paste(as.character(Sys.Date()),format(Sys.time(), "_time_h%Hm%Ms%OS0"),sep="")
DataTA = ta # RoME::TA
DataTA[1,"DISTANCE"] <- NA
check_consistencyTA_distance(DataTA, year=2012, wd, suffix)
}
if (!file.exists(file.path(wd, "Logfiles"))){
dir.create(file.path(wd, "Logfiles"), recursive = TRUE, showWarnings = FALSE)
}
numberError = 0
if (!exists("suffix")){
suffix=paste(as.character(Sys.Date()),format(Sys.time(), "_time_h%Hm%Ms%OS0"),sep="")
}
Errors <- file.path(wd,"Logfiles",paste("Logfile_", suffix ,".dat",sep=""))
if (!file.exists(Errors)){
file.create(Errors)
}
### FILTERING DATA FOR THE SELECTED YEAR
arg <- "year"
if (!exists(arg)) {
stop(paste0("'",arg,"' argument should be provided"))
} else if (length(year)!= 1) {
stop(paste0("only one value should be provided for '",arg,"' argument"))
} else if (is.na(year)){
stop(paste0(arg," argument should be a numeric value"))
}
DataTA <- DataTA[DataTA$YEAR == year, ]
########################################
Matrix = DataTA[!is.na(DataTA$DISTANCE), ]
write(paste("\n----------- check consistency between duration and distance TA - ",Matrix$YEAR[1]), file = Errors, append = TRUE)
Matrix$mean_distance=1852*Matrix$HAUL_DURATION/20
Matrix$low_distance=Matrix$mean_distance-Matrix$mean_distance*0.15
Matrix$up_distance=Matrix$mean_distance+Matrix$mean_distance*0.15
distance=which(Matrix$DISTANCE<Matrix$low_distance | Matrix$DISTANCE>Matrix$up_distance)
if (length(distance)!=0){
for (j in 1:length(distance)){
write(paste("Warning: in haul",Matrix$HAUL_NUMBER[distance[j]],"distance measure",Matrix$DISTANCE[distance[j]],"inconsistent with the duration of the haul (",Matrix$HAUL_DURATION[distance[j]],"min )"), file = Errors, append = TRUE)
}
}
#unlink(file.path(tempdir(),"Graphs"),recursive=T)
#unlink(file.path(tempdir(),"files R-Sufi"),recursive=T)
if (numberError ==0) {
write("No error occurred",file = Errors, append = TRUE)
# if (file.exists(file.path(tempdir(), "Logfiles"))){
# unlink(file.path(tempdir(),"Logfiles"),recursive=T)
# }
# if (file.exists(file.path(tempdir(), "Graphs"))){
# unlink(file.path(tempdir(),"Graphs"),recursive=T)
# }
# if (file.exists(file.path(tempdir(), "files R-Sufi"))){
# unlink(file.path(tempdir(),"files R-Sufi"),recursive=T)
# }
return(TRUE)
} else { return(FALSE) }
}
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