Download and plot essential climate data

Plots carbon dioxide emissions retrieved using get_emissions() with ggplot2. The output ggplot2 object may be modified. Alternative columns from the dataset may also be plotted.

Usage

plot_emissions(
  dataset = get_emissions(),
  start_year = 1900,
  region = "World",
  field = "co2",
  print = TRUE,
  annot = TRUE,
  title_expression = expression("Fossil Combustion " * CO[2] * " Emissions"),
  yaxis_expression = expression("Gt " * CO[2] * " per year")
)

Arguments

dataset

Name of the tibble generated by get_emissions

start_year

Year to start plot at. Defaults to 1900. Data is available since 1750.

region

ISO code of region to plot. Defaults to 'OWID_WRL' which signifies entire world.

field

Field from GCP dataset to be plotted, defaults to 'co2'

print

(boolean) Display carbon dioxide emissions ggplot2 chart, defaults to TRUE. Use FALSE to not display chart.

annot

(boolean) Include chart annotation with latest date and value, defaults to TRUE.

title_expression

Chart title, defaults to CO2 emissions

yaxis_expression

y-axis label, defaults to Gt CO2 emissions

Value

Invisibly returns a ggplot2 object with carbon dioxide emissions chart

Details

plot_emissions invisibly returns a ggplot2 object with a pre-defined carbon dioxide emissions chart using data from get_emissions. Use the field parameter to select alternative columns from the data set such as co2_per_capita. By default the chart is also displayed. Users may further modify the output ggplot2 chart.

Author

Hernando Cortina, hch@alum.mit.edu

Examples

# \donttest{
# Fetch carbon dioxide emissions:
emissions <- get_emissions()

# Plot output using package's built-in ggplot2 defaults
plot_emissions(emissions)


# Or just call plot_emissions(), which defaults to get_emissions() dataset
plot_emissions()


# You can also select a region by name and start year
plot_emissions(region='United States', start_year=1950)

p <- plot_emissions(emissions, print = FALSE)

# Modify plot such as: p + ggplot2::labs(title='Anthropogenic Carbon Emissions')

# Plot a different field from GCP dataset
plot_emissions(field='co2_per_capita', yaxis_expression=expression(CO[2]*' per capita' ))# }