## code to prepare `CERQ` dataset goes here
# these data are downloaded from https://www.donneesquebec.ca/recherche/dataset/cadre-ecologique-de-reference/resource/0da3fa75-4b76-4485-ae7d-896eb7881b61
# on 30 Nov 2020
# data is gitignored and should be downloaded again if someone needs to redo or check this work!
# this data cleaning script is based on the work of Claire & Guillaume L.
# Andrew MacDonald 30 Nov
library(sf)
library(tidyverse)
# read using sf
CR01_test <- st_read("./data-raw/CERQ_SHP/CR_NIV_01_S.shp")
# transfer the thing into the right CRS
CR01_crs <- CR01_test %>% st_transform(crs = "+proj=longlat +datum=WGS84 +no_defs")
#smooth the shape out a bit
CR01_sf <- rmapshaper::ms_simplify(CR01_crs, keep=.01)
CR01_sf$NOM_PROV_N %>% unique %>% length
CERQ <- CR01_sf %>%
mutate(NOM_PROV_N = forcats::fct_reorder(NOM_PROV_N, SHAPE_Area, .desc = TRUE))
usethis::use_data(CERQ, overwrite = TRUE)
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