caretSDM (version 1.2.3)

use_esm: Ensemble of Small Models (ESM) in caretSDM

Description

This functions set parameters to run a ESM when running train_sdm.

Usage

use_esm(x, spp = NULL, n_records = 20)

Value

A input_sdm or occurrences object with ESM parameters.

Arguments

x

A occurrences or input_sdm object containing occurrences.

spp

A vector of species names containing the species which the ESM must be applied. Standard is NULL.

n_records

Numeric. Number of species records to apply the ESM. Standard is 20.

Author

Luíz Fernando Esser ([e-mail]) https://luizfesser.wordpress.com

Details

We supply two different ways to apply the ESM. If species names are provided, then ESM will be applied only in given species. If a number of species records is provided, then ESM will be applied in every species with number of records bellow the given threshold. As standard, use_esm will be apply to every species with less then 20 records.

Examples

# Create sdm_area object:
sa <- sdm_area(parana, cell_size = 100000, crs = 6933)

# Include predictors:
sa <- add_predictors(sa, bioc) |> select_predictors(c("bio1", "bio4", "bio12"))

# Include scenarios:
sa <- add_scenarios(sa)

# Create occurrences:
oc <- occurrences_sdm(occ, crs = 6933) |> join_area(sa)

# Create input_sdm:
i <- input_sdm(oc, sa)

# Use MEM:
i <- use_esm(i, n_records = 999)