MacroEcological Models (MEM) in caretSDM

This functions sums all species records into one. Should be used before the data cleaning routine.

Usage

use_mem(x, add = TRUE, name = "MEM")

Arguments

x

A occurrences or input_sdm object containing occurrences.

add

Logical. Should the new MEM records be added to the pool (TRUE) of species or the output should have only the summed records (FALSE)? Standard is TRUE.

name

How should the new records be named? Standard is "MEM".

Value

A input_sdm or occurrences object with MEM data.

Author

Luíz Fernando Esser (luizesser@gmail.com) https://luizfesser.wordpress.com

Examples

# Create sdm_area object:
sa <- sdm_area(parana, cell_size = 25000, crs = 6933)
#> ! Making grid over study area is an expensive task. Please, be patient!
#> ℹ Using GDAL to make the grid and resample the variables.

# Include predictors:
sa <- add_predictors(sa, bioc) |> select_predictors(c("bio1", "bio4", "bio12"))
#> ! Making grid over the study area is an expensive task. Please, be patient!
#> ℹ Using GDAL to make the grid and resample the variables.

# Include scenarios:
sa <- add_scenarios(sa)

# Create occurrences:
oc <- occurrences_sdm(occ, crs = 6933) |> join_area(sa)
#> Warning: Some records from `occ` do not fall in `pred`.
#> ℹ 2 elements from `occ` were excluded.
#> ℹ If this seems too much, check how `occ` and `pred` intersect.

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

# Use MEM:
i <- use_mem(i)