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 x 10
#> region year P G E F g e f ef
#> <ord> <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Mexico 2019 0.128 1.31 7.32 455. 10.3 5.58 62.2 347.
#> 2 Mexico 2018 0.126 1.31 7.42 467. 10.4 5.66 62.8 355.
#> 3 Mexico 2017 0.125 1.29 7.48 477. 10.3 5.82 63.7 371.
#> 4 Mexico 2016 0.123 1.26 7.38 469. 10.2 5.86 63.5 372.
#> 5 Mexico 2015 0.122 1.22 7.29 463. 10.0 5.96 63.6 379.
#> 6 Mexico 2014 0.120 1.18 7.30 460. 9.84 6.16 63.0 388.-
project_top_down(): Project future population, GDP, energy use, and emissions. Example:
mexico_2050 = project_top_down("Mexico", 2050)
mexico_2050
#> # A tibble: 1 x 10
#> region year P G g E F e f ef
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 Mexico 2050 0.157 2.57 16.3 10.1 589. 3.93 58.2 229.-
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)
#> `geom_smooth()` using formula 'y ~ x'
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 x 5
#> # Groups: region, year [1]
#> region year fuel quads frac
#> <chr> <int> <ord> <dbl> <dbl>
#> 1 Mexico 2019 Coal 0.481 0.0657
#> 2 Mexico 2019 Oil 3.12 0.426
#> 3 Mexico 2019 Natural Gas 3.09 0.423
#> 4 Mexico 2019 Nuclear 0.0951 0.0130
#> 5 Mexico 2019 Renewables 0.528 0.0722-
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.