plot_map()
allows you to generate a colour-coded map of there percent
change in species trends for each strata.
Usage
plot_map(
trends,
slope = FALSE,
title = TRUE,
col_viridis = FALSE,
species,
stratify_by,
select
)
Arguments
- trends
List. Trends generated by
generate_trends()
.- slope
Logical. Whether or not to map values of the alternative trend metric (slope of a log-linear regression) if
slope = TRUE
was used ingenerate_trends()
, through the annual indices. DefaultFALSE
.- title
Logical. Whether or not to include a title with species. Default
TRUE
.- col_viridis
Logical flag to use "viridis" colour-blind friendly palette. Default is FALSE
- species
Defunct. Use
title
instead- stratify_by
Defunct.
- select
Defunct.
Examples
# Using the example model for Pacific Wrens...
# Generate the continental and stratum indices
i <- generate_indices(pacific_wren_model)
#> Processing region stratum
#> Processing region continent
# Now generate trends
t <- generate_trends(i)
# Generate the map
map <- plot_map(t)