Download and plot essential climate data

Plots the wildfire burnt area or fire count data retrieved using get_fires_area() with ggplot2. The output ggplot2 object may be further modified.

Usage

plot_fires_area(
  dataset = get_fires_area(),
  var = c("area", "count"),
  style = c("cumulative", "weekly"),
  print = TRUE
)

Arguments

dataset

Name of the tibble generated by get_fires_area

var

(string) Select which variable to plot. May be "area" (burnt area in hectares, the default) or "count" (number of fire events).

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.

Value

Invisibly returns a ggplot2 object with the wildfire chart

Details

plot_fires_area invisibly returns a ggplot2 object with a pre-defined wildfire chart using data from get_fires_area. By default the chart is also displayed. The shaded ribbon shows the historical minimum-to-maximum range since 2012, and the blue line shows the historical average. Users may further modify the output ggplot2 chart.

Author

Hernando Cortina, hch@alum.mit.edu

Examples

# \donttest{
# Fetch wildfire data:
fires <- get_fires_area()
#
# Plot output using package's built-in ggplot2 defaults
plot_fires_area(fires)


# Or just call plot_fires_area(), which defaults to get_fires_area() dataset
plot_fires_area()


# Plot weekly fire count instead of cumulative burnt area
plot_fires_area(fires, var = 'count', style = 'weekly')


p <- plot_fires_area(fires, print = FALSE)
# Modify plot such as: p + ggplot2::labs(title='Global Wildfire Burnt Area') # }