models2pam | R Documentation |
Function to convert binary raster models to a Presence Absences Matrix.
models2pam(
mods_stack,
return_coords = FALSE,
sparse = TRUE,
parallel = FALSE,
ncores = 2
)
mods_stack |
A raster stack containing binary models of each species in the community. |
return_coords |
Logical. If TRUE the pam will be returned with coordinates in the first two columns. |
sparse |
Logical. If TRUE the PAM will be returned as a sparse matrix. |
parallel |
Logical. If TRUE computations will be done in parallel |
ncores |
Integer. Number of cores to run the parallel process. |
For more information about PAM see Soberon and Cavner (2015).
A presence-absence matrix (PAM).
Luis Osorio-Olvera & Jorge Soberón
Soberon2015bamm.
lagos_path <- system.file("extdata/conejos",
package = "bamm")
enm_path <- list.files(lagos_path,
pattern = ".tif",
full.names = TRUE)[1:10]
en_models <- raster::stack(enm_path) >0.01
pam <- bamm::models2pam(en_models,
return_coords=TRUE,
sparse=FALSE,
parallel=FALSE,ncores=2)
head(pam)
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