Produces a ggplot object to show the trend of the impact.
Usage
# S3 method for class 'impact_indicator'
plot(
x,
linewidth = 2,
colour = "red",
title_lab = "Impact indicator",
y_lab = "impact score",
text_size = 14,
...
)Arguments
- x
A dataframe of impact indicator. Must be a class of "impact_indicator"
- linewidth
The width size of the line. Default is 2
- colour
The colour of the line Default is "red"
- title_lab
Title of the plot. Default is "Impact indicator"
- 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 impact indicator, 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 impact indicator
impact_value <- impact_indicator(
cube = acacia_cube,
impact_data = eicat_acacia,
col_category = "impact_category",
col_species = "scientific_name",
col_mechanism = "impact_mechanism",
trans = 1,
type = "mean cumulative"
)
# plot impact indicator
plot(impact_value)
