plot_occurrences | R Documentation |
This function creates different plots depending on the input.
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"
)
plot_background(i, variables_selected = NULL)
plot_niche(
i,
spp_name = NULL,
variables_selected = NULL,
scenario = NULL,
id = NULL,
ensemble = TRUE,
ensemble_type = "mean_occ_prob",
raster = FALSE
)
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" |
raster |
Should the niche be extrapolated to a raster covering all possibe values in the environmental space? |
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.
The plot or mapview desired.
Luíz Fernando Esser (luizesser@gmail.com) https://luizfesser.wordpress.com
WorldClim_data
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