Produces a ggplot to show the trend of the species impact.
Usage
# S3 method for class 'species_impact'
plot(
x,
alien_species = "all",
linewidth = 1.5,
title_lab = "Species impact",
y_lab = "impact score",
text_size = 14,
...
)Arguments
- x
A dataframe of impact indicator. Must be a class of "species_impact"
- alien_species
The character vector containing names of the alien species to be included in the plot. Default is "all" which plot all species in the data frame
- linewidth
The width size of the line. Default is 1.5
- title_lab
Title of the plot. Default is "Species impact"
- y_lab
Label of the y-axis. Default is "impact score"
- text_size
The size of the text of the plot. Default is "14"
- ...
Additional arguments passed to geom_line
Value
The ggplot object of the species impact, with the y- and x-axes representing the impact score and time respectively.
Examples
# create data cube
acacia_cube <- taxa_cube(
taxa = taxa_Acacia,
region = southAfrica_sf,
res = 0.25,
first_year = 2010
)
# compute species impact
speciesImpact <- species_impact(
cube = acacia_cube,
impact_data = eicat_acacia,
col_category = "impact_category",
col_species = "scientific_name",
col_mechanism = "impact_mechanism",
trans = 1,
type = "mean"
)
# visualise species impact
plot(speciesImpact)
#> Warning: Removed 9 rows containing missing values or values outside the scale range
#> (`geom_line()`).
