kayadata
Jonathan Gilligan 2024-07-07
kayadata
This package loads Kaya-identity data, synthesized from several sources.
To install the package from CRAN:
install.packages("kayadata")Once you’ve installed it, then you just need to use the command
library(kayadata) to load the package.
Some of the functions the package provides are:
kaya_region_list(): Get a list of available countries and regions.get_kaya_data(): Get data for a specific country. Example:
mexico_data = get_kaya_data("Mexico") mexico_data %>% filter(year >= 1965) %>% select(region:ef) %>% head() #> # A tibble: 6 × 10 #> region year P G E F g e f ef #> <ord> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 Mexico 2023 0.128 1.33 8.01 490. 10.3 6.04 61.1 369. #> 2 Mexico 2022 0.128 1.29 7.76 469. 10.1 6.04 60.5 365. #> 3 Mexico 2021 0.127 1.24 7.42 443. 9.76 6.01 59.6 358. #> 4 Mexico 2020 0.126 1.17 6.97 413. 9.28 5.96 59.3 354. #> 5 Mexico 2019 0.125 1.28 7.65 481. 10.2 5.98 62.8 376. #> 6 Mexico 2018 0.124 1.28 7.73 489. 10.3 6.03 63.3 381.
project_top_down(): Project future population, GDP, energy use, and emissions. Example:
mexico_2050 = project_top_down("Mexico", 2050) mexico_2050 #> # A tibble: 1 × 10 #> region year P G g E F e f ef #> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 Mexico 2050 0.154 2.51 16.3 10.9 609. 4.36 55.7 243.
plot_kaya: Plot trends in Kaya variables for a given region or country. Example:
us_kaya = get_kaya_data("United States") plot_kaya(us_kaya, "ef", y_lab = "Carbon intensity of economy", start_year = 2000, stop_year = 2010, log_scale = TRUE, trend_line = TRUE)
world_kaya = get_kaya_data("World") plot_kaya(world_kaya, "P", start_year = 2000, stop_year = 2010, log_scale = FALSE, trend_line = FALSE)
*
get_fuel_mix: Get the fuel mix (coal, gas, oil, nuclear, and
renewables) for a region or country. Example:
mexico_mix = get_fuel_mix("Mexico") mexico_mix #> # A tibble: 5 × 5 #> region year fuel quads frac #> <chr> <int> <ord> <dbl> <dbl> #> 1 Mexico 2023 Oil 3.64 0.454 #> 2 Mexico 2023 Natural Gas 3.33 0.416 #> 3 Mexico 2023 Coal 0.250 0.0312 #> 4 Mexico 2023 Nuclear 0.105 0.0131 #> 5 Mexico 2023 Renewables 0.690 0.0861
plot_fuel_mix: Plot the fuel mix in a donut chart
plot_fuel_mix(mexico_mix)
After you install the package, you can get more help inside RStudio by
typing help(package="kayadata") in the R console window.
Code of conduct
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.