#' Data 0062 : Inventory of vessel of concern
#'
#' Distribution of vessels of concern filtered for our study area. The majority of vessels have yet to be validated by CCG: this validation process is underway. As such, the accuracy of the coordinates cannot be guaranteed.
#'
#' @keywords stresseurs
#' @keywords naufrages
#'
#' @source Canadian Coast Guard (2021) Inventory of Vessels of Concern (VOC). [Date accessed: 2021-11-18]
#'
#' @export
#'
#' @details Cette fonction formatte les données
#'
get_data0062 <- function() {
# =~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~= #
#
# WARNING: Données ne peuvent être partagées
# WARNING: Données brutes doivent être supprimées suite au projet
# _________________________________________________________________________ #
# WARNING: Data transfered physically, no cloud access currently
# Output folder
output <- "data0062-vessel_of_concern_inventory/"
folder <- paste0("./data/data-raw/", output)
if (!file.exists(folder)) dir.create(folder)
# _________________________________________________________________________ #
# =~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~= #
# Import and format
# ----------------------------------------
# Load vessel type dataset
data0062 <- read.csv(paste0(folder, 'CCG_VOC_Inventory-QC-TC.csv')) %>%
st_as_sf(coords = c("X","Y"), crs = 4326) %>%
st_transform(crs = global_parameters()$crs)
# _____________________________________________________________________________ #
# =~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~= #
# Export data
# ----------------------------------------
# Output
st_write(obj = data0062,
dsn = "./data/data-format/data0062-vessel_of_concern_inventory.geojson",
delete_dsn = TRUE,
quiet = TRUE)
# _________________________________________________________________________ #
}
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