Retrieve apparent fishing effort and convert response to tibble

get_raster(
  spatial_resolution = NULL,
  temporal_resolution = NULL,
  start_date = "2023-01-01",
  end_date = "2023-12-31",
  region_source = NULL,
  region = NULL,
  group_by = NULL,
  filter_by = NULL,
  key = gfw_auth(),
  print_request = FALSE
)

Arguments

spatial_resolution: Raster spatial resolution. Can be "LOW" (0.1 degree) or "HIGH" (0.01 degree).
temporal_resolution: Raster temporal resolution. Can be "HOURLY", "DAILY", "MONTHLY", "YEARLY".
start_date: Required. Start of date range to search events, in YYYY-MM-DD format and including this date.
end_date: Required. End of date range to search events, in YYYY-MM-DD format and excluding this date.
region_source: Required. Source of the region: "EEZ", "MPA", "RFMO" or "USER_SHAPEFILE".
region: Required. If region_source is set to "EEZ", "MPA" or "RFMO", GFW region code (see get_region_id()). If region_source = "USER_SHAPEFILE", sf shapefile with the area of interest.
group_by: Optional. Parameter to group by. Can be "VESSEL_ID", "FLAG", "GEARTYPE", "FLAGANDGEARTYPE" or "MMSI".
filter_by: Fields to filter AIS-based apparent fishing effort. Possible options are flag, geartype and vessel_id. Receives SQL expressions like filter_by = "flag IN ('ESP')".
key: Character, API token. Defaults to gfw_auth().
print_request: Boolean. Whether to print the request, for debugging purposes. When contacting the GFW team it will be useful to send this string.

Examples

if (FALSE) { # \dontrun{
library(gfwr)
# using region codes
code_eez <- get_region_id(region_name = "CIV", region_source = "EEZ")
get_raster(spatial_resolution = "LOW",
           temporal_resolution = "YEARLY",
           group_by = "FLAG",
           start_date = "2021-01-01",
           end_date = "2022-01-01",
           region = code_eez$id,
           region_source = "EEZ",
           key = gfw_auth(),
           print_request = TRUE)
code_mpa <- get_region_id(region_name = "Galapagos", region_source = "MPA")
get_raster(spatial_resolution = "LOW",
           temporal_resolution = "MONTHLY",
           group_by = "FLAG",
           start_date = "2022-01-01",
           end_date = "2023-01-01",
           region = code_mpa$id[3],
           region_source = "MPA")
code_rfmo <- get_region_id(region_name = "IATTC", region_source = "RFMO")
get_raster(spatial_resolution = "LOW",
           temporal_resolution = "MONTHLY",
           start_date = "2022-01-01",
           end_date = "2023-01-01",
           region = code_rfmo$id[1],
           region_source = "RFMO")
#using a sf from disk /loading a test sf object
data(test_shape)
get_raster(spatial_resolution = "LOW",
            temporal_resolution = "YEARLY",
            start_date = "2021-01-01",
            end_date = "2021-10-01",
            region = test_shape,
            region_source = "USER_SHAPEFILE",
            key = gfw_auth(),
            print_request = TRUE)
} # }