accelerate_road: Accelerate road

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Accelerate road

Description

Accelerate road by picking the best results between business as usual, and -50 percent from 2020 to 2030.

Usage

accelerate_road(
  df,
  ind_ids = billion_ind_codes("hpop"),
  scenario_col = "scenario",
  default_scenario = "default",
  bau_scenario = "historical",
  scenario_name = "acceleration",
  ...
)

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.
default_scenario	name of the default scenario.
bau_scenario	name of scenario to be used for business as usual. Default is historical.
scenario_name	name of scenario
...	additional parameters to be passed to scenario function

Details

Runs:

• scenario_bau(df, small_is_best = TRUE,...), and

• scenario_percent_baseline(df, percent_change = -50, baseline_year = 2020, target_year = 2030, small_is_best = TRUE, ...)

Then picks the best result between the two scenarios.

See Also

HPOP acceleration scenarios accelerate_adult_obese(), accelerate_alcohol(), accelerate_child_obese(), accelerate_child_viol(), accelerate_devontrack(), accelerate_fuel(), accelerate_hpop_sanitation_rural(), accelerate_hpop_sanitation_urban(), accelerate_hpop_sanitation(), accelerate_hpop_tobacco(), accelerate_ipv(), accelerate_overweight(), accelerate_pm25(), accelerate_stunting(), accelerate_suicide(), accelerate_transfats(), accelerate_wasting(), accelerate_water_rural(), accelerate_water_urban(), accelerate_water()

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