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Download and plot essential climate data

Source: R/extra_viz.R
warming_stripes.Rd

Plots global "warming stripes" graph in the style popularized by Ed Hawkins, based on temperature anomaly retrieved using get_temp(). Function can output stripes chart with legend or a minimal chart. The output ggplot2 object may be further modified.

Usage

warming_stripes(
  dataset = get_temp(),
  stripe_only = FALSE,
  col_strip = RColorBrewer::brewer.pal(11, "RdBu"),
  print = TRUE
)

Arguments

dataset

Name of the tibble generated by get_temp

stripe_only

Display legend and axes, defaults to TRUE

col_strip

Color palette to use. Defaults to Red-Blue RColorBrewer palette.

print

(boolean) Display warming stripe ggplot2 chart, defaults to TRUE. Use FALSE to not display chart.

Value

Invisibly returns a ggplot2 object with warming stripes

Details

warming_stripes invisibly returns a ggplot2 object with warming stripes chart using data from get_temp. By default the chart is also displayed. User may modify color palette or remove axes and legend. Users may further modify the output ggplot2 chart.

References

  • Climate Lab. 2018. https://www.climate-lab-book.ac.uk/2018/warming-stripes/

  • GISS Surface Temperature Analysis (GISTEMP v4): https://data.giss.nasa.gov/gistemp/

  • GISTEMP Team, 2020: GISS Surface Temperature Analysis (GISTEMP), version 4. NASA Goddard Institute for Space Studies.

  • Dr. Dominic Roye blog post "How to Create Warming Stripes in R": https://dominicroye.github.io/en/2018/how-to-create-warming-stripes-in-r/

Author

Hernando Cortina, hch@alum.mit.edu

Examples

# \donttest{
# Draw with axes and legend
stripes <- warming_stripes()


# Draw stripes only
stripes <- warming_stripes(stripe_only = TRUE)


# Don't display, store for further modifications
stripes <- warming_stripes(print = FALSE)

# Change color palette
stripes <- warming_stripes(stripe_only = TRUE, col_strip = viridisLite::viridis(11)) # }