Transform: Apply Transformations to Covariates
In zoonproject/modules: Species Distribution Modelling Code Modules for the ZOON Package

Description Usage Arguments Details Data type Version Date submitted Author(s) See Also

Apply a tranformation function (e.g. square, log, something else) to one or more covariates, pixelwise. These can either overwrite the named covariates, or be added to the covariate set.

1 2	Transform(.data, trans = function(x) { x }, which_cov = NULL, replace = TRUE)

`.data`	Internal parameter, do not use in the workflow function. `.data` is a list of a data frame and a raster object returned from occurrence modules and covariate modules respectively. `.data` is passed automatically in workflow from the occurrence and covariate modules to the process module(s) and should not be passed by the user.#'
`trans`	a function defining a transformation to apply to each pixel in the covariate(s) raster. This can be a definition (e.g. `function(x) x^2` for a square) or a function defined in base R (e.g. `log1p` for the log(x + 1) transformation). The default transformation does nothing.#'
`which_cov`	a character vector naming all of the covariates in the RasterStack to which the new transformation should be applied.#'
`replace`	a logical, determining whether to overwrite the values of the named layers with the transformed values (if `replace = TRUE`), or to add extra layers with the transformed covariates. If additional layers are added, they will be renamed accoring to the `raster` package's renaming conventions. This normally involves adding a '.2' at the end of the name.