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The download_hms() function accesses and downloads wildfire smoke plume coverage data from NOAA's Hazard Mapping System Fire and Smoke Product.

Usage

download_hms(
  data_format = "Shapefile",
  date = c("2018-01-01", "2018-01-01"),
  directory_to_save = NULL,
  acknowledgement = FALSE,
  download = FALSE,
  remove_command = FALSE,
  unzip = TRUE,
  remove_zip = FALSE,
  hash = FALSE
)

Arguments

data_format

character(1). "Shapefile" or "KML".

date

character(1 or 2). length of 10. Date or start/end dates for downloading data. Format "YYYY-MM-DD" (ex. January 1, 2018 = "2018-01-01").

directory_to_save

character(1). Directory to save data. If data_format = "Shapefile", two sub-directories will be created for the downloaded zip files ("/zip_files") and the unzipped shapefiles ("/data_files"). If data_format = "KML", a single sub-directory ("/data_files") will be created.

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. (Ignored if data_format = "KML".)

remove_zip

logical(1). Remove zip files from directory_to_download. Default is FALSE. (Ignored if data_format = "KML".)

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

web_HMSaboutamadeus

Author

Mitchell Manware, Insang Song

Examples

download_hms(
  data_format = "Shapefile",
  date = c("2024-01-01", "2024-01-01"),
  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.