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Download population density data

Source: R/download.R
download_sedac_population.Rd

The download_sedac_population() function accesses and downloads population density data from NASA's UN WPP-Adjusted Population Density, v4.11.

Usage

download_sedac_population(
  data_resolution = "60 minute",
  data_format = c("GeoTIFF", "ASCII", "netCDF"),
  year = "2020",
  directory_to_save = NULL,
  acknowledgement = FALSE,
  download = FALSE,
  remove_command = FALSE,
  unzip = TRUE,
  remove_zip = FALSE,
  hash = FALSE
)

Arguments

data_resolution

character(1). Available resolutions are 30 second (approx. 1 km), 2.5 minute (approx. 5 km), 15 minute (approx. 30 km), 30 minute (approx. 55 km), and 60 minute (approx. 110 km).

data_format

character(1). Individual year data can be downloaded as "ASCII" or "GeoTIFF". "all" years is downloaded as "netCDF".

year

character(1). Available years are 2000, 2005, 2010, 2015, and 2020, or "all" for all years.

directory_to_save

character(1). Directory to save data. Two sub-directories will be created for the downloaded zip files ("/zip_files") and the unzipped shapefiles ("/data_files").

acknowledgement

logical(1). By setting TRUE the user acknowledges that the data downloaded using this function may be very large and use lots of machine storage and memory.

download

logical(1). FALSE will generate a *.txt file containing all download commands. By setting TRUE the function will download all of the requested data files.

remove_command

logical(1). Remove (TRUE) or keep (FALSE) the text file containing download commands.

unzip

logical(1). Unzip zip files. Default is TRUE.

remove_zip

logical(1). Remove zip files from directory_to_download. Default is FALSE.

hash

logical(1). By setting TRUE the function will return an rlang::hash_file() hash character corresponding to the downloaded files. Default is FALSE.

Value

  • For hash = FALSE, NULL

  • For hash = TRUE, an rlang::hash_file character.

  • Zip and/or data files will be downloaded and stored in respective sub-directories within directory_to_save.

References

data_ciesin2017gpwv4amadeus

Author

Mitchell Manware, Insang Song

Examples

download_sedac_population(
  data_resolution = "30 second",
  data_format = "GeoTIFF",
  year = "2020",
  directory_to_save = tempdir(),
  acknowledgement = TRUE,
  download = FALSE, # NOTE: download skipped for examples,
  remove_command = TRUE,
  unzip = FALSE
)
#> Skipping data download.
#> Downloaded files will not be unzipped.