plot_dailytemp: Download and plot essential climate data

In cortinah/hockeystick: Download and Visualize Essential Climate Change Data

Download and plot essential climate data

Description

Plots the daily temperatures since 1940 and current anomaly data retrieved using get_dailytempcop() with ggplot2. The output ggplot2 object may be further modified.

Usage

plot_dailytemp(
  dataset = get_dailytempcop(),
  print = TRUE,
  anomaly = FALSE,
  maxtemp = FALSE,
  current_year = as.numeric(substr(Sys.Date(), 1, 4)),
  title_lab = "Daily Average Air Temperature",
  cop = TRUE
)

Arguments

dataset	Name of the tibble generated by get_dailytempcop or get_dailytemp
print	(boolean) Display daily temperature ggplot2 chart, defaults to TRUE. Use FALSE to not display chart.
anomaly	(boolean) Display current anomaly versus historic mean, defaults to TRUE.
maxtemp	(boolean) Display current deviation versus historic max, defaults to FALSE.
current_year	(numeric) Year to highlight in alternate color, defaults to current year.
title_lab	(string) Title to override default chart title. Default title pulls region name from dataset attributes.
cop	(boolean) Flag for chart caption, TRUE = Copernicus, FALSE =. ClimateReanalyzer.org

Details

plot_temp invisibly returns a ggplot2 object with a pre-defined daily temperature anomaly chart using data from get_dailytemp. By default the chart is also displayed. Plots one line per year, as well as mean and anomaly (which may be disabled). Users may further modify the output ggplot2 chart.

Value

Invisibly returns a ggplot2 object with daily temperature anomaly chart

Author(s)

Hernando Cortina, [e-mail]

Examples

# Fetch temperature anomaly:
dailydata <- get_dailytempcop()
#
# Plot output using package's built-in ggplot2 defaults
plot_dailytemp(dailydata)

# Don't plot anomaly shading and highight specific year
plot_dailytemp(anomaly = FALSE, current_year = 2012)

# Or just call plot_temp(), which defaults to get_dailytempcop() dataset
plot_dailytemp()

p <- plot_dailytemp(dailydata, print = FALSE)
# Modify plot such as: p + ggplot2::labs(title='Record Temperatures in 2023') 

cortinah/hockeystick documentation built on Nov. 26, 2024, 12:08 p.m.