climaemet (version 1.0.1)

ggwindrose: Windrose (speed/direction) diagram

Description

Plot a windrose showing the wind speed and direction using 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 = "",
  ...
)

Arguments

speed

Numeric vector of wind speeds.

direction

Numeric vector of wind directions.

n_directions

Numeric value as the number of direction bins to plot (petals on the rose). The number of directions defaults to 8.

n_speeds

Numeric value as the number of equally spaced wind speed bins to plot. This is used if speed_cuts is NA (default 5).

speed_cuts

Numeric vector containing the cut points for the wind speed intervals, or NA (default).

col_pal

Character string indicating the name of the hcl.pals() color palette to be used for plotting.

legend_title

Character string to be used for the legend title.

calm_wind

Numeric value as the upper limit for wind speed that is considered calm (default 0).

n_col

The number of columns of plots (default 1).

facet

Character or factor vector of the facets used to plot the various windroses.

plot_title

Character string to be used for the plot title.

...

further arguments (ignored).

Value

A ggplot object.

API Key

You need to set your API Key globally using aemet_api_key().

See Also

ggplot2::theme() for more possible arguments to pass to ggwindrose.

Other aemet_plots: climatestripes_station(), climatogram_normal(), climatogram_period(), ggclimat_walter_lieth(), ggstripes(), windrose_days(), windrose_period()

Other wind: climaemet_9434_wind, windrose_days(), windrose_period()

Examples

# NOT RUN {

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"
)
# }