plot_occurrences {caretSDM} | R Documentation |
S3 Methods for plot and mapview
Description
This function creates different plots depending on the input.
Usage
plot_occurrences(i, spp_name = NULL, pa = TRUE)
plot_grid(i)
plot_predictors(i, variables_selected = NULL)
plot_scenarios(i, variables_selected = NULL, scenario = NULL)
plot_predictions(
i,
spp_name = NULL,
scenario = NULL,
id = NULL,
ensemble = TRUE,
ensemble_type = "mean_occ_prob"
)
mapview_grid(i)
mapview_occurrences(i, spp_name = NULL, pa = TRUE)
mapview_predictors(i, variables_selected = NULL)
mapview_scenarios(i, variables_selected = NULL, scenario = NULL)
mapview_predictions(
i,
spp_name = NULL,
scenario = NULL,
id = NULL,
ensemble = TRUE,
ensemble_type = "mean_occ_prob"
)
Arguments
i |
Object to be plotted. Can be a |
spp_name |
A character with species to be plotted. If NULL, the first species is plotted. |
pa |
Boolean. Should pseudoabsences be plotted together? (not implemented yet.) |
variables_selected |
A character vector with names of variables to be plotted. |
scenario |
description |
id |
The id of models to be plotted (only used when |
ensemble |
Boolean. Should the ensemble be plotted (TRUE)? Otherwise a prediction will be plotted |
ensemble_type |
Character of the type of ensemble to be plotted. One of: "mean_occ_prob", "wmean_AUC" or "committee_avg" |
Details
We implemented a bestiary of plots to help visualizing the process and results. If you are not familiar with mapview, consider using it to better visualize maps.
Value
The plot or mapview desired.
Author(s)
Luíz Fernando Esser (luizesser@gmail.com) https://luizfesser.wordpress.com