Chain combines multiple modules of the same module type such that they
are executed sequentially and their outputs combined. For example, process
modules may be Chained to carry out successive processing operations.
By contrast, listing modules of the same type would split the workflow
into multiple parallel workflows, each using a different module at this step.
Chain(...)
| ... | List of modules to be chained. |
|---|
Similarly for occurrence or covariate modules the datasets are joined (row-
or layer-wise) whereas list would carry out separate analyses. Model
and output modules may not be chained. Developers should note that this
function is not actually used - calls using Chain are parsed by
workflow, with behaviour similar to this function.