lets.addvar: Add variables (in raster format) to a PresenceAbscence object

In letsR: Data Handling and Analysis in Macroecology

Add variables (in raster format) to a PresenceAbscence object

Description

Add variables (in raster format), usually environmental, to a PresenceAbsence object. Variables are included as additional columns containing the aggregate/summarize value of the variable(s) in each cell of the presence-absence matrix.

Usage

lets.addvar(x, y, onlyvar = FALSE, fun = mean)

Arguments

x	A PresenceAbsence object.
y	Variables to be added in SpatRaster format.
onlyvar	If TRUE only the matrix object will be returned.
fun	Function used to aggregate the variables(s) values over each cell. Note that this will only work for variables with a resolution value smaller (i.e. higher resolution) than the PAM.

Value

The result is a presence-absence matrix of species with the variables added as columns at the right-end of the matrix (but see the 'onlyvar' argument).

Note

The PresenceAbsence and the Raster variable must be in the same projection.

Author(s)

Bruno Vilela

See Also

lets.presab.birds

lets.presab

lets.addpoly

Examples

## Not run: 
data(temp)  # Global mean temperature
temp <- terra::unwrap(temp)
data(PAM)  # Phyllomedusa presence-absence matrix
# Mean temperature
PAM_temp_mean <- lets.addvar(PAM, temp)
# Standard deviation of temperature
PAM_temp_sd <- lets.addvar(PAM, temp, fun = sd, onlyvar = TRUE)
# Mean and SD in the PAM
PAM_temp_mean_sd <- cbind(PAM_temp_mean, PAM_temp_sd)

## End(Not run)

letsR documentation built on Nov. 23, 2023, 9:07 a.m.