rgbif (version 3.8.1)

occ_download_import: Import a downloaded file from GBIF.

Description

Import a downloaded file from GBIF.

Usage

occ_download_import(
  x = NULL,
  key = NULL,
  path = ".",
  fill = FALSE,
  encoding = "UTF-8",
  ...
)
as.download(path = ".", key = NULL)
# S3 method for character
as.download(path = ".", key = NULL)
# S3 method for download
as.download(path = ".", key = NULL)

Value

a tibble (data.frame)

Arguments

x

The output of a call to occ_download_get

key

A key generated from a request, like that from occ_download

path

Path to unzip file to. Default: "." Writes to folder matching zip file name

fill

(logical) (default: FALSE). If TRUE then in case the rows have unequal length, blank fields are implicitly filled. passed on to fill parameter in data.table::fread.

encoding

(character) encoding to read in data; passed to data.table::fread(). default: "UTF-8". other allowed options: "Latin-1" and "unknown". see ?data.table::fread docs

...

parameters passed on to data.table::fread(). See fread docs for details. Some fread parameters that may be particular useful here are: select (select which columns to read in; others are dropped), nrows (only read in a certain number of rows)

Problems reading data

You may run into errors when using occ_download_import(); most often these are due to data.table::fread() not being able to parse the occurrence.txt file correctly. The fill parameter passes down to data.table::fread() and the ... allows you to pass on any other parameters that data.table::fread() accepts. Read the docs for fread for help.

countryCode result column and Namibia

The country code for Namibia is "NA". Unfortunately in R an "NA" string will be read in to R as an NA/missing. To avoid this, in this function we read in the data, then convert an NA/missing values to the character string "NA". When a country code is truly missing it will be an empty string.

Details

You can provide either x as input, or both key and path. We use data.table::fread() internally to read data.

See Also

Other downloads: download_predicate_dsl, occ_download_cached(), occ_download_cancel(), occ_download_dataset_activity(), occ_download_datasets(), occ_download_get(), occ_download_list(), occ_download_meta(), occ_download_queue(), occ_download_wait(), occ_download()

Examples

if (FALSE) {
# First, kick off at least 1 download, then wait for the job to be complete
# Then use your download keys
res <- occ_download_get(key="0000066-140928181241064", overwrite=TRUE)
occ_download_import(res)

occ_download_get(key="0000066-140928181241064", overwrite = TRUE) %>%
  occ_download_import

# coerce a file path to the right class to feed to occ_download_import
# as.download("0000066-140928181241064.zip")
# as.download(key = "0000066-140928181241064")
# occ_download_import(as.download("0000066-140928181241064.zip"))

# download a dump that has a CSV file
# res <- occ_download_get(key = "0001369-160509122628363", overwrite=TRUE)
# occ_download_import(res)
# occ_download_import(key = "0001369-160509122628363")

# download and import a species list (in csv format)
# x <- occ_download_get("0000172-190415153152247")
# occ_download_import(x)
}