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Protection chart (inside vs outside Protected areas) for EOO and AOO

Source: R/plot_protection.R
plot_protection.Rd

Two horizontal stacked bars (EOO and AOO) showing the share of the range inside federal Protected areas (Protected areas, UCs) versus outside, from assess_species(..., protected = TRUE). When MapBiomas was also computed (mapbiomas = TRUE), the inside-UC part is split into natural and altered habitat, so the dark-green segment is the range that is natural and protected. Layout mirrors plot_conversion: title, one subtitle with the occurrence count, and a legend on the right.

Usage

plot_protection(assessment, species = NULL, lang = c("en", "pt"))

Arguments

assessment

A geoconv_assessment run with protected = TRUE.

species

Species name (default: first).

lang

Label language: "en" (default) or "pt".

Value

A ggplot object (ggplot2 available) or, in the base-graphics fallback, invisibly the plotted percentage matrix (rows EOO/AOO).

See also

mas_plotly for the interactive version.

Examples

# \donttest{
occ <- read_occurrences(system.file("extdata", "example_occurrences.csv",
                                    package = "mappingAS"))
# reads WDPA and one year of MapBiomas (the multi-year habitat trend is skipped)
res <- assess_species(occ, protected = TRUE, infer_decline_from_habitat = FALSE,
                      verbose = FALSE)
#> although coordinates are longitude/latitude, st_intersection assumes that they
#> are planar
#> although coordinates are longitude/latitude, st_intersection assumes that they
#> are planar
#> although coordinates are longitude/latitude, st_intersection assumes that they
#> are planar
#> although coordinates are longitude/latitude, st_intersection assumes that they
#> are planar
#> although coordinates are longitude/latitude, st_intersection assumes that they
#> are planar
#> although coordinates are longitude/latitude, st_intersection assumes that they
#> are planar
plot_protection(res)

# }