In gilligan-ees-3310/kayadata: Kaya Identity Data for Nations and Regions

knitr::opts_chunk$set(
  collapse = TRUE,
  echo = FALSE, 
  comment = "#>",
  fig.path="man/figures/README-",
  out.width = "100%"
  )
library(tidyverse)
# library(pacman)
# p_load_current_gh("jonathan-g/kayadata")
library(kayadata)

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()

• project_top_down(): Project future population, GDP, energy use, and emissions. Example:

mexico_2050 = project_top_down("Mexico", 2050)
mexico_2050

• 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

• 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.

gilligan-ees-3310/kayadata documentation built on July 27, 2023, 5:44 a.m.