Like all scenarios in mrdrivers, the GDP and GDP per capita scenarios are the result of a harmonization exercise
between past data and future projections. Together with the corresponding population scenarios
(see calcPopulation()
) they comprise a consistent set of scenarios.
By default the following scenarios are returned:
the SSPs, i.e. SSP1-5
the SDPs, i.e. SDP, SDP_EI, SDP_RC, and SDP_MC
See the vignette: vignette("scenarios")
for scenario options, definitions and references.
Usage
calcGDP(
scenario = c("SSPs", "SDPs", "SSP2EU"),
unit = toolGetUnitDollar(inPPP = TRUE),
average2020 = TRUE,
...
)
calcGDPpc(
scenario = c("SSPs", "SDPs", "SSP2EU"),
unit = toolGetUnitDollar(inPPP = TRUE),
average2020 = TRUE,
...
)
Arguments
- scenario
A string (or vector of strings) designating the scenario(s) to be returned. Use
toolGetScenarioDefinition()
to learn what scenarios are available.- unit
A string specifying the unit of GDP. Can be either:
"constant 2017 Int$PPP" (default): Scenarios are constructed in constant 2017 Int$PPP.
"constant 2017 US$MER": Scenarios are constructed in constant 2017 US$MER and then converted with
GDPuc::toolConvertGDP()
.
In all cases, GDP is returned in millions.
- average2020
If TRUE (default), then the 2020 value is replaced by the 2018-2022 average. To be consistent, the yearly resolution is decreased to 5 year intervals.
- ...
Arguments passed on to
calcDriver()
, of which "extension2150" and "naming" are most often of interest.
Value
magpie object with the requested output data either on country or on regional level depending on the choice of argument "aggregate" or a list of information if supplementary is set to TRUE.
See also
toolGetScenarioDefinition()
for scenario options and definitions.madrat::calcOutput()
for how to return supplementary information and other control options.calcDriver()
,calcScenarioConstructor()
andcalcHarmonizedData()
for how to create new scenarios (for developers).