#' Data 0010 : Frayères
#'
#' Identification des frayères dans le Saint-Laurent fluvial
#'
#' @keywords frayère
#' @keywords habitat
#' @keywords composante valorisée
#'
#' @source Marc Mingelbier, Ministère des Forêts, de la Faune et des Parcs
#'
#' @export
#'
#' @details Cette fonction formatte les données
#'
get_data0010 <- function() {
# =~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~= #
# Download data
# ----------------------------------------
# Output folder
output <- "data0010-frayere/"
folder <- paste0("./data/data-raw/", output)
if (!file.exists(folder)) dir.create(folder)
# WARNING: Data transfered physically, no cloud access currently
# Unzip
unzip(zipfile = paste0(folder, 'DonneesMFFP_PourPASL.gdb.zip'), exdir = folder)
# _________________________________________________________________________ #
# =~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~= #
# Import data
# ----------------------------------------
# -----
s <- st_read(paste0(folder, 'DonneesMFFP_PourPASL.gdb'),
layer = 'Frayere_s_CEGRIM_25_02_2020',
quiet = TRUE) %>%
st_cast("MULTIPOLYGON")
# -----
p <- st_read(paste0(folder, 'DonneesMFFP_PourPASL.gdb'),
layer = 'Frayere_p_CEGRIM__2_3_2020',
quiet = TRUE) %>%
st_buffer(100)
# -----
data0010 <- bind_rows(s, p)
# Transform projection
data0010 <- st_transform(data0010, crs = global_parameters()$crs)
# _________________________________________________________________________ #
# =~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~=~-~= #
# Export data
# ----------------------------------------
# Output
st_write(obj = data0010,
dsn = "./data/data-format/data0010-frayere.geojson",
delete_dsn = TRUE,
quiet = TRUE)
# _________________________________________________________________________ #
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.