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Walter-Lieth climate diagram with ggplot2

Source: R/climatogram.R
ggclimat_walter_lieth.Rd

Plots a Walter-Lieth climate diagram for a station. This function is an updated version of climatol::diagwl() by José A. Guijarro.

[Experimental]

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 climatology data from which to create the diagram.

est

Name of the climatological station.

alt

Altitude of the climatological station.

per

Period used to compute the averages.

mlab

Month labels for the x-axis. Use a two-letter language code, such as "en" or "es". See readr::locale() for details.

pcol

Color for precipitation.

tcol

Color 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 relative to three times the temperature (as suggested by Bogdan Rosca).

...

Further graphic arguments.

Value

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

Details

See the details in climatol::diagwl().

Climatology data must be passed as a 4 by 12 matrix or data frame of monthly data from January to December. Rows must contain mean precipitation, mean maximum daily temperature, mean minimum daily temperature and absolute monthly minimum temperature, in that order.

See climaemet_9434_climatogram for a sample dataset.

References

  • Walter, H. K., Harnickell, E., Lieth, F. H. H. and Rehder, H. (1967). Klimadiagramm-weltatlas. Jena: Fischer.

  • Guijarro J. A. (2023). climatol: Climate Tools (Series Homogenization and Derived Products). R package version 4.0.0, https://climatol.eu.

See also

climatol::diagwl() and readr::locale().

Walter-Lieth climate diagrams: climatogram_normal(), climatogram_period()

Examples


library(ggplot2)

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

wl


# Since 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"
  )
)