sdg_road: Accelerate road to SDG target

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Accelerate road to SDG target

Description

Put road on SDG trajectory by running -50 percent from 2020 to 2030.

Usage

sdg_road(
  df,
  ind_ids = billion_ind_codes("hpop"),
  scenario_col = "scenario",
  ...
)

Arguments

df	Data frame in long format, where 1 row corresponds to a specific country, year, and indicator.
ind_ids	Named vector of indicator codes for input indicators to the Billion. Although separate indicator codes can be used than the standard, they must be supplied as a named vector where the names correspond to the output of billion_ind_codes().
scenario_col	Column name of column with scenario identifiers. Useful for calculating contributions on data in long format rather than wide format.
...	additional parameters to be passed to scenario function

See Also

HPOP SDG scenarios sdg_adult_obese(), sdg_alcohol(), sdg_child_obese(), sdg_child_viol(), sdg_devontrack(), sdg_fuel(), sdg_hpop_sanitation_rural(), sdg_hpop_sanitation_urban(), sdg_hpop_sanitation(), sdg_hpop_tobacco(), sdg_ipv(), sdg_overweight(), sdg_pm25(), sdg_stunting(), sdg_suicide(), sdg_transfats(), sdg_wasting(), sdg_water_rural(), sdg_water_urban(), sdg_water()

gpw13/billionaiRe documentation built on April 17, 2025, 12:54 p.m.