The get_gfwData function recover the data of Global Fishing Watch and returns it as a sf object.

The possibilities offered by this function are explained in vignette("GlobalFishingWatch")

Usage

splnr_get_gfw(
  region,
  start_date,
  end_date,
  temp_res,
  spat_res = "LOW",
  region_source = "EEZ",
  key = gfwr::gfw_auth(),
  cCRS = "EPSG:4326",
  compress = FALSE
)

Arguments

region: Region studied (character) or a geojson shape to filter raster
start_date: Start date (waited format : "%Y-%m-%d").
end_date: End date (waited format : "%Y-%m-%d").
temp_res: Temporal resolution ("daily","monthly","yearly").
spat_res: Spatial resolution ("low" for 0.1 degree, "high" for 0.01 degree).
region_source: source of the region ('eez','mpa', 'rfmo' or 'user_json')
key: Token for GFW API (see details GlobalFishingWatch vignette).
cCRS: The crs to which the sf will be returned (default = "EPSG:4326").
compress: Binary operator to compress (aggregate) the data per coordinates (default = FALSE).

Value

An sf object with gfw data.

Details

We have the same parameters than the get_raster function, plus cCRS which is the crs for the sf_modification
Different possible values can be combined and are :

Time Range, Flag, Geartype.
(A combination can be : c('Time Range','Geartype'), if you want to get the sum of fishing hours per date and geartype, for example you want to display the drifting longline fishing in a specific year)

Notes :

For the moment we are limited to the EEZs of each region, but we can potentially restrict the working area to specific MPAs.
Days indicated in the__ start_date and end_date __variables are included in the data recovery.

The code takes several parameters described below and return an sf object with gfw data aggregated or not (param compress)

Examples

if (FALSE) { # \dontrun{
gfw_data <- splnr_get_gfw('Australia', "2021-01-01", "2022-12-31", "YEARLY",
    cCRS = "ESRI:54009", compress = TRUE)
} # }