climaemet (version 1.0.1)

ggclimat_walter_lieth: Walter and Lieth climatic diagram on ggplot2

Description

Plot of a Walter and Lieth climatic diagram of a station. This function is an updated version of climatol::diagwl(), by Jose A. Guijarro.

Usage

ggclimat_walter_lieth(
  dat,
  est = "",
  alt = NA,
  per = NA,
  mlab = "es",
  pcol = "#002F70",
  tcol = "#ff0000",
  pfcol = "#9BAEE2",
  sfcol = "#3C6FC4",
  shem = FALSE,
  p3line = FALSE,
  ...
)

Arguments

dat

Monthly climatic data for which the diagram will be plotted.

est

Name of the climatological station

alt

Altitude of the climatological station

per

Period on which the averages have been computed

mlab

Month labels for the X axis. Use 2-digit language code ("en", "es", etc.). See readr::locale() for info.

pcol

Color pen for precipitation.

tcol

Color pen for temperature.

pfcol

Fill color for probable frosts.

sfcol

Fill color for sure frosts.

shem

Set to TRUE for southern hemisphere stations.

p3line

Set to TRUE to draw a supplementary precipitation line referenced to three times the temperature (as suggested by Bogdan Rosca).

...

Other graphic parameters

Value

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

API Key

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

Details

See Details on climatol::diagwl().

Climatic data must be passed as a 4x12 matrix of monthly (January to December) data, in the following order:

• Row 1: Mean precipitation.

• Row 2: Mean maximum daily temperature.

• Row 3: Mean minimum daily temperature.

• Row 4: Absolute monthly minimum temperature.

See climaemet_9434_climatogram for a sample dataset.

References

Walter, H., and Lieth, H. 1960. Klimadiagramm-Weltatlas. G. Fischer.

See Also

climatol::diagwl(), readr::locale()

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

Other climatogram: climaemet_9434_climatogram, climatogram_normal(), climatogram_period()

Examples

# NOT RUN {
library(ggplot2)

wl <- ggclimat_walter_lieth(
  climaemet::climaemet_9434_climatogram,
  alt = "249",
  per = "1981-2010",
  est = "Zaragoza Airport"
)

wl

# As it is a ggplot object we can modify it

wl + theme(
  plot.background = element_rect(fill = "grey80"),
  panel.background = element_rect(fill = "grey70"),
  axis.text.y.left = element_text(
    colour = "black",
    face = "italic"
  ),
  axis.text.y.right = element_text(
    colour = "black",
    face = "bold"
  )
)
# }