plot_windrose: Plot a Windrose

In YsoSirius/windfarmGA: Genetic Algorithm for Wind Farm Layout Optimization

Plot a Windrose

Description

Plot a wind rose of the wind data frame.

Usage

plot_windrose(
  data,
  spd,
  dir,
  spdres = 2,
  dirres = 10,
  spdmin = 1,
  spdmax = 30,
  palette = "YlGnBu",
  spdseq = NULL,
  plotit = TRUE
)

Arguments

data	A data.frame containing the wind information
spd	The column of the wind speeds in "data"
dir	The column of the wind directions in "data"
spdres	The increment of the wind speed legend. Default is 2
dirres	The size of the wind sectors. Default is 10
spdmin	Minimum wind speed. Default is 1
spdmax	Maximal wind speed. Default is 30
palette	A color palette used for drawing the wind rose
spdseq	A wind speed sequence, that is used for plotting
plotit	Should the windrose be plotted? Default is TRUE

Value

Returns NULL. Used for plotting

See Also

Other Plotting Functions: plot_cloud(), plot_development(), plot_evolution(), plot_fitness_evolution(), plot_heatmap(), plot_parkfitness(), plot_result(), plot_windfarmGA(), random_search_single()

Examples

## Exemplary Input Wind speed and direction data frame
# Uniform wind speed and single wind direction
data.in <- data.frame(ws = 12, wd = 0)
windrosePlot <- plot_windrose(
  data = data.in, spd = data.in$ws,
  dir = data.in$wd
)

# Random wind speeds and random wind directions
data.in <- data.frame(
  ws = sample(1:25, 10),
  wd = sample(1:260, 10)
)
windrosePlot <- plot_windrose(
  data = data.in, spd = data.in$ws,
  dir = data.in$wd
)

YsoSirius/windfarmGA documentation built on March 13, 2024, 8:37 a.m.