ggstripes | R Documentation |
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.
ggstripes(
data,
plot_type = "stripes",
plot_title = "",
n_temp = 11,
col_pal = "RdBu",
...
)
data |
a data.frame with date( |
plot_type |
plot type (with labels, background, stripes with line
trend and animation). Accepted values are |
plot_title |
character string to be used for the graph title. |
n_temp |
Numeric value as the number of colors of the palette.
(default |
col_pal |
Character string indicating the name of the
|
... |
further arguments passed to |
A ggplot2 object
You need to set your API Key globally using aemet_api_key()
.
"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.
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()
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)")
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