R/PRE_FATE.speciesDistanceOverlap.R
PRE_FATE.speciesDistanceOverlap.Rd
This script is designed to create a distance matrix between species, based on co-occurrence of species.
PRE_FATE.speciesDistanceOverlap(mat.overlap.option, mat.overlap.object)
a string
corresponding to the way to
calculate the distance between species based on niche overlap (either
PCA
or raster
, see
Details
)
two options, depending on the value of
mat.overlap.option
:
(PCA
option) a list
with 2 elements :
tab.dom.PA
a matrix
or data.frame
with
sites in rows and species in columns, containing either NA
,
0
or 1
(see PRE_FATE.selectDominant
)
tab.env
a matrix
or data.frame
with
sites in rows and environmental variables in columns
(raster
option) a data.frame
with 2 columns :
species
the ID of each studied species
raster
path to raster file with species distribution
A matrix
containing overlap distances between each pair
of species, calculated as 1 - Schoeners D
.
This function allows to obtain a distance matrix between species (1 - Schoeners D), based on niche overlap information :
If PCA
option is selected, the degree of niche overlap will
be computed using the ecospat.niche.overlap
.
If raster
option is selected, the degree of niche overlap will
be computed using the niche.overlap
.
## Load example data
Champsaur_PFG = .loadData('Champsaur_PFG', 'RData')
## Prepare sites x species table
## Add absences in community sites
sites = Champsaur_PFG$sp.observations
tab.dom.PA = Champsaur_PFG$tab.dom.PA
for (si in sites$sites[which(sites$TYPE == "COMMUNITY")])
{
ind = which(rownames(tab.dom.PA) == si)
tab.dom.PA[ind, which(is.na(tab.dom.PA[ind, ]))] = 0
}
## Prepare environmental table
tab.env = Champsaur_PFG$tab.env
## Calculate niche overlap distances -----------------------------------------
list.over = list(tab.dom.PA[, 1:10], tab.env)
DIST.overlap = PRE_FATE.speciesDistanceOverlap(mat.overlap.option = "PCA"
, mat.overlap.object = list.over)
(DIST.overlap[1:5, 1:5])