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Plot a wind rose

Source: R/windrose.R
ggwindrose.Rd

Plots a wind rose showing wind speed and direction with ggplot2.

Usage

ggwindrose(
  speed,
  direction,
  n_directions = 8,
  n_speeds = 5,
  speed_cuts = NA,
  col_pal = "GnBu",
  legend_title = "Wind speed (m/s)",
  calm_wind = 0,
  n_col = 1,
  facet = NULL,
  plot_title = "",
  stack_reverse = FALSE,
  ...
)

Arguments

speed

A numeric vector of wind speeds.

direction

A numeric vector of wind directions.

n_directions

The number of direction bins to plot (petals on the rose). Valid values are 4, 8 or 16.

n_speeds

The number of equally spaced wind speed bins to plot when speed_cuts is NA. Defaults to 5.

speed_cuts

A numeric vector with the cut points for the wind speed intervals, or NA (default).

col_pal

A character string specifying the hcl.pals() color palette to be used for plotting.

legend_title

A character string or expression for the legend title.

calm_wind

The upper wind speed limit considered calm. Defaults to 0.

n_col

The number of plot columns. Defaults to 1.

facet

A character or factor vector of facets used to plot wind roses.

plot_title

A character string for the plot title.

stack_reverse

A logical value. If TRUE, reverses the stack order of speed cuts. See Examples.

...

Further arguments (ignored).

Value

A ggplot2 object. See help("ggplot2").

See also

ggplot2::theme() for additional arguments to pass to ggwindrose() and climaemet_9434_wind.

Wind roses: windrose_days(), windrose_period()

Examples

library(ggplot2)

speed <- climaemet::climaemet_9434_wind$velmedia
direction <- climaemet::climaemet_9434_wind$dir

rose <- ggwindrose(
  speed = speed,
  direction = direction,
  speed_cuts = seq(0, 16, 4),
  legend_title = "Wind speed (m/s)",
  calm_wind = 0,
  n_col = 1,
  plot_title = "Zaragoza Airport"
)
rose + labs(
  subtitle = "2000-2020",
  caption = "Source: AEMET"
)


# Reverse the stack.

ggwindrose(
  speed = speed,
  direction = direction,
  speed_cuts = seq(0, 16, 4),
  legend_title = "Wind speed (m/s)",
  calm_wind = 0,
  n_col = 1,
  plot_title = "Zaragoza Airport",
  stack_reverse = TRUE
) +
  labs(
    subtitle = "2000-2020",
    caption = "Source: AEMET"
  )