Update Global Population Denominators — get_global_denoms • savimpx

Output is available through the package as "global_denoms," but this function can be used to recreate this dataset.

Note: World Health Organization (WHO) region, Department of State (DoS) region, and english country names are handled externally in a CSV file.

Usage

get_global_denoms(vintage = 2021, country_metadata = NULL)

Arguments

vintage: (numeric, default: 2021) The year of population projections to use from UN data
country_metadata: (data.frame, optional) A data.frame containing country-specific metadata with at least four columns: "iso3code", "iso3code", "state_region", "who_region"

Value

Returns a df of 238 rows and 10 columns

Note

country_metadata overrides metadata contained in package. Your milage may vary.
Population updates for Pitcairn Islands are hardcoded and must be pulled manually via CIA factbook unless another source is found.

See also

global_denoms for more complete data documentation

Examples

if (FALSE) {
# UPDATING global_denoms
global_denoms <- get_global_denoms()
usethis::use_data(global_denoms, overwrite = TRUE)
write_csv(global_denoms, "inst/extdata/global_denoms.csv")
}