hockeystick (version 1.0.0)

plot_fires_emissions: Download and plot essential climate data

Description

Plots the wildfire greenhouse gas emissions data retrieved using get_fires_emissions() with ggplot2. The output ggplot2 object may be further modified.

Usage

plot_fires_emissions(
  dataset = get_fires_emissions(),
  pollutant = c("CO2", "BC", "C", "CH4", "CO", "NMHC", "NOX", "OC", "PM2.5", "SO2", "TC"),
  style = c("cumulative", "weekly"),
  print = TRUE
)

Value

Invisibly returns a ggplot2 object with the wildfire emissions chart

Arguments

dataset

Name of the tibble generated by get_fires_emissions

pollutant

(string) Select which pollutant to plot. May be one of "CO2" (the default), "BC", "C", "CH4", "CO", "NMHC", "NOX", "OC", "PM2.5", "SO2", or "TC".

style

(string) Select cumulative or weekly view. May be "cumulative" (year-to-date totals, the default) or "weekly" (weekly values).

print

(boolean) Display the ggplot2 chart, defaults to TRUE. Use FALSE to suppress display.

Author

Hernando Cortina,

Details

plot_fires_emissions invisibly returns a ggplot2 object with a pre-defined wildfire emissions chart using data from get_fires_emissions. By default the chart is also displayed. The shaded ribbon shows the historical minimum-to-maximum range since 2003, and the blue line shows the historical average. Emissions are expressed in millions of tons. Users may further modify the output ggplot2 chart.

Examples

# \donttest{
# Fetch wildfire emissions data:
emissions <- get_fires_emissions()
#
# Plot output using package's built-in ggplot2 defaults
plot_fires_emissions(emissions)

# Or just call plot_fires_emissions(), which defaults to get_fires_emissions() dataset
plot_fires_emissions()

# Plot weekly PM2.5 emissions instead of cumulative CO2
plot_fires_emissions(emissions, pollutant = 'PM2.5', style = 'weekly')

p <- plot_fires_emissions(emissions, print = FALSE)
# Modify plot such as: p + ggplot2::labs(title='Global CO2 Emissions from Wildfires') # }