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Plots and Tables from an IPCC Vulnerability Index Analysis

Source: R/sus_mod_plot_vulnerability.R
sus_mod_plot_vulnerability.Rd

Produces city vulnerability rankings, IPCC pillar decompositions, and Lorenz concentration curves from a climasus_vi object returned by sus_mod_vulnerability_index().

Usage

sus_mod_plot_vulnerability(
  x,
  type = c("ranking", "pillars", "lorenz"),
  output_type = c("plot", "table", "all"),
  interactive = FALSE,
  base_size = 12L,
  save_plot = NULL,
  lang = c("pt", "en", "es"),
  verbose = FALSE
)

Arguments

x

A climasus_vi object produced by sus_mod_vulnerability_index().

type

Character. Plot type: "ranking" (default), "pillars", or "lorenz".

output_type

Character. "plot" (default), "table", or "all" (named list $plot, $table, $data).

interactive

Logical. TRUE converts the ggplot2 output to an interactive plotly widget. Default FALSE.

base_size

Numeric. ggplot2 base font size. Default 12.

save_plot

Character or NULL. File path to save the plot.

lang

Character. Language for labels: "pt" (default), "en", "es".

verbose

Logical. Print progress messages. Default FALSE.

Value

Depending on output_type:

  • "plot" -> a ggplot or plotly object.

  • "table" -> a tibble of the plotted data.

  • "all" -> a named list: $plot, $table, $data.

Plot types (type)

typeDescription
"ranking"Horizontal lollipop of VI score per city, most vulnerable at top
"pillars"Stacked horizontal bar of exposure/sensitivity/AC pillar scores
"lorenz"Lorenz concentration curve of VI inequality across cities

See also

sus_mod_vulnerability_index(), sus_mod_plot_dlnm()

Examples

if (FALSE) { # \dontrun{
vi <- sus_mod_vulnerability_index(exposure_df = exp_df, lang = "pt")

sus_mod_plot_vulnerability(vi, type = "ranking", lang = "pt")
sus_mod_plot_vulnerability(vi, type = "pillars", lang = "en")
sus_mod_plot_vulnerability(vi, type = "lorenz",  lang = "es")
out <- sus_mod_plot_vulnerability(vi, output_type = "all")
out$table
} # }