Plot site impact — plot.site_impact • impIndicator

Produces the yearly impact map of a region

Usage

# S3 method for class 'site_impact'
plot(
  x,
  region = NULL,
  first_year = NULL,
  last_year = NULL,
  title_lab = "Impact map",
  text_size = 14,
  ...
)

Arguments

x: A dataframe of impact indicator. Must be a class of "site_impact"
region: sf or character. The shapefile of the region of study or a character which represent the name of a country. It is not compulsory but makes the plot more comprehensible.
first_year: The first year the impact map should include. Default starts from the first year included in x.
last_year: The last year the impact map should include. Default ends in the last year included in x.
title_lab: Title of the plot. Default is "Impact map"
text_size: The size of the text of the plot. Default is "14"
...: Additional arguments passed to geom_tile

Value

The ggplot of species yearly impact on the region.

Examples

# define cube for taxa
acacia_cube <- taxa_cube(
  taxa = taxa_Acacia,
  region = southAfrica_sf,
  res = 0.25,
  first_year = 2010
)

# compute site impact
siteImpact <- site_impact(
  cube = acacia_cube,
  impact_data = eicat_acacia,
  col_category = "impact_category",
  col_species = "scientific_name",
  col_mechanism = "impact_mechanism",
  trans = 1,
  type = "precautionary cumulative"
)

# visualise site impact
plot(x=siteImpact,
region= southAfrica_sf,
first_year = 2021)