A prepared co2 intensity climate scenario dataset for demonstration
Source:R/co2_intensity_scenario_demo.R
co2_intensity_scenario_demo.Rd
Fake co2 intensity climate scenario dataset, prepared for the software PACTA (Paris Agreement Capital Transition Assessment). It imitates climate scenario data (e.g. from the International Energy Agency (IEA)) including the change through time in production across industrial sectors.
Demo datasets are synthetic because most financial data is strictly private; they help to demonstrate and test the implementation in R of 'PACTA' (https://www.transitionmonitor.com/).
Definitions
emission_factor
(double): The target sector level emissions factor that the scenario prescribes., *emission_factor_unit
(character): The units that the emissions factor is measured in., *region
(character): The region to which the pathway is relevant., *scenario
(character): The name of the scenario., *scenario_source
(character): The source publication from which the scenario was taken., *sector
(character): The sector to which the scenario prescribes a pathway., *year
(integer): The year at which the pathway value is prescribed.
See also
Other demo datasets:
abcd_demo
,
loanbook_demo
,
overwrite_demo
,
region_isos_demo
,
scenario_demo_2020
Examples
head(co2_intensity_scenario_demo)
#> # A tibble: 6 × 7
#> scenario_source scenario sector region year emission_factor_unit
#> <chr> <chr> <chr> <chr> <dbl> <chr>
#> 1 demo_2020 demo cement global 2020 tonnes of CO2 per tonne of Cement
#> 2 demo_2020 demo cement global 2021 tonnes of CO2 per tonne of Cement
#> 3 demo_2020 demo cement global 2022 tonnes of CO2 per tonne of Cement
#> 4 demo_2020 demo cement global 2023 tonnes of CO2 per tonne of Cement
#> 5 demo_2020 demo cement global 2024 tonnes of CO2 per tonne of Cement
#> 6 demo_2020 demo cement global 2025 tonnes of CO2 per tonne of Cement
#> # ℹ 1 more variable: emission_factor <dbl>