hockeystick (version 0.8.5)

plot_emissions_with_land: Download and plot essential climate data

Description

Plots carbon dioxide emissions (including land use change) 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_with_land(
  dataset = get_emissions(),
  start_year = 1900,
  region = "World",
  print = TRUE,
  annot = TRUE,
  title_expression = expression("Fossil + Land Use Change " * CO[2] * " Emissions"),
  yaxis_expression = expression("Gt " * CO[2] * " per year")
)

Value

Invisibly returns a ggplot2 object with carbon dioxide emissions chart

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.

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

Author

Hernando Cortina,

Details

plot_emissions_with_land invisibly returns a ggplot2 object with a pre-defined carbon dioxide emissions (including land use change) chart using data from get_emissions. By default the chart is also displayed. Users may further modify the output ggplot2 chart.

Examples

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

# Plot output (including land use change) using package's built-in ggplot2 defaults
plot_emissions_with_land(emissions)

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

# You can also select a region by name and starting year
plot_emissions_with_land(region='United States', start_year=1950)
p <- plot_emissions_with_land(emissions, print = FALSE)

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