Download and plot essential climate data

Plots the hurricane data retrieved using get_hurricanes() with ggplot2. The output ggplot2 object may be further modified.

Usage

plot_hurricanes(dataset = get_hurricanes(), cat = "major", print = TRUE)

Arguments

dataset

Name of the tibble generated by get_hurricanes

cat

(string) Select which category of hurricane to plot. May be "major", "hurricane", or "storm". Defaults to "major".

print

(boolean) Display hurricane ggplot2 chart, defaults to TRUE. Use FALSE to not display chart.

Value

Invisibly returns a ggplot2 object with hurricanes chart

Details

plot_hurricanes invisibly returns a ggplot2 object with a pre-defined hurricane data chart using data from get_hurricanes. By default the chart is also displayed. Smooths using ggplot2's built-in loess smoother. Users may further modify the output ggplot2 chart. Categories may be "major" (category 3-5), "hurricane" (category 1-5), or "storm" (named storm).

Author

Hernando Cortina, hch@alum.mit.edu

Examples

# \donttest{
# Fetch hurricane data:
hurricanes <- get_hurricanes()
#
# Plot output using package's built-in ggplot2 defaults
plot_hurricanes(hurricanes)


# Or just call plot_hurricanes(), which defaults to get_hurricanes() dataset
plot_hurricanes()


p <- plot_hurricanes(hurricanes, print = FALSE)
# Modify plot such as: p + ggplot2::labs(title='Growing number of North Atlantic named storms') # }