ggstripes: Warming stripes graph

View source: R/stripes.R

ggstripesR Documentation

Warming stripes graph

Description

Plot different "climate stripes" or "warming stripes" using ggplot2. This graphics are visual representations of the change in temperature as measured in each location over the past 70-100+ years. Each stripe represents the temperature in that station averaged over a year.

Usage

ggstripes(
  data,
  plot_type = "stripes",
  plot_title = "",
  n_temp = 11,
  col_pal = "RdBu",
  ...
)

Arguments

data

a data.frame with date(year) and temperature(temp) variables.

plot_type

plot type (with labels, background, stripes with line trend and animation). Accepted values are "background", "stripes", "trend" or "animation".

plot_title

character string to be used for the graph title.

n_temp

Numeric value as the number of colors of the palette. (default 11).

col_pal

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

...

further arguments passed to ggplot2::theme().

Value

A ggplot2 object.

API Key

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

Note

"Warming stripes" charts are a conceptual idea of Professor Ed Hawkins (University of Reading) and are specifically designed to be as simple as possible and alert about risks of climate change. For more details see ShowYourStripes.

See Also

climatestripes_station(), ggplot2::theme() for more possible arguments to pass to ggstripes.

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

Other stripes: climaemet_9434_temp, climatestripes_station()

Examples


library(ggplot2)

data <- climaemet::climaemet_9434_temp

ggstripes(data, plot_title = "Zaragoza Airport") +
  labs(subtitle = "(1950-2020)")

ggstripes(data, plot_title = "Zaragoza Airport", plot_type = "trend") +
  labs(subtitle = "(1950-2020)")

climaemet documentation built on March 18, 2022, 7:01 p.m.