This function has all the mappings used to convert between different categories
metis.mappings(name = NULL)
| name | Default=NULL. Name of assumption object.
|
|---|
A list of assumptions
List of Mappings
#> $mapParamQuery #> # A tibble: 88 x 4 #> group param query mapPalette #> <chr> <chr> <list> <chr> #> 1 energy energyPrimaryByFuelEJ <chr [1]> pal_hot #> 2 energy energyPrimaryRefLiqProdEJ <chr [1]> pal_hot #> 3 energy energyFinalConsumBySecEJ <chr [1]> pal_hot #> 4 energy energyFinalByFuelBySectorEJ <chr [1]> pal_hot #> 5 energy energyFinalSubsecByFuelTranspEJ <chr [1]> pal_hot #> 6 energy energyFinalSubsecByFuelBuildEJ <chr [1]> pal_hot #> 7 energy energyFinalSubsecByFuelIndusEJ <chr [1]> pal_hot #> 8 energy energyFinalSubsecBySectorBuildEJ <chr [1]> pal_hot #> 9 energy energyFinalConsumByIntlShpAvEJ <chr [1]> pal_hot #> 10 energy energyPrimaryByFuelMTOE <chr [1]> pal_hot #> # ... with 78 more rows #> #> $countryToGCAMReg32 #> # A tibble: 288 x 4 #> region_code ctry_code region ctry_name #> <dbl> <dbl> <chr> <chr> #> 1 29 238 Southeast Asia Fiji #> 2 23 103 Russia Russia #> 3 13 17 EU-15 Wallis & Futuna #> 4 6 223 Australia_NZ New Zealand #> 5 1 150 USA United States #> 6 29 40 Southeast Asia Midway Is. #> 7 29 16 Southeast Asia Tonga #> 8 29 38 Southeast Asia Kiribati #> 9 29 14 Southeast Asia Samoa #> 10 29 15 Southeast Asia Tokelau #> # ... with 278 more rows #> #> $subRegionMap #> # A tibble: 22 x 2 #> subRegion subRegionMetis #> <chr> <chr> #> 1 ArkWhtRedR Arkansas_White_Red #> 2 California California_River #> 3 Caribbean Caribbean #> 4 FraserR Fraser #> 5 GreatBasin Great #> 6 GreatLakes Great_Lakes #> 7 MexCstNW Mexico_Northwest_Coast #> 8 MissouriR Missouri_River #> 9 MissppRN Upper_Mississippi #> 10 MissppRS Lower_Mississippi_River #> # ... with 12 more rows #>