knitr::opts_chunk$set( collapse = TRUE, comment = "#>", warning=F, echo = TRUE)
We present here the anwser to some questions that are more common to arise while running ENMTML
. If you couldn't find your issue among those questions, please report it and we will make our best to help you run the package smoothly.
At first the number fo arguments and the folder's structure may seem a little scary, but with little time you will get the hang of it and will start running ENM models!
We highly recommend you to create a folder for your project!
A general overview of the Project Folder and its containing sub-folders will look similar to this:
Yellow are the Mandatory Folders, you need them to run the package.
Green are the Optional Folders, only required according to your project design.
Blue are Output Folders, those will be created during the modeling routine.
ENMTML
consists of several arguments, which will be checked at the start of the modeling routine.
Take your time to check any Error returned during this argument check and use the help
to correctly fill the arguments.
ENMTML
imports occurrence data from a TXT file with tabulation as separator (tab-separated)
The TXT can have several columns, but three columns are mandatory:
They can be named to your preference as those will be inputted in the arguments sp, x, y of the ENMTML
function.
Here's an example of an occurrence table for four sample species.
require(ENMTML) data(occ) knitr::kable(occ[c(1:3,43:45,90:92,127:129),],row.names=F)
ENMTML
accepts predictors from several formats: TIF, BIL, ASC and TXT(tab-separated)
Predictors must be within a single folder, which will be informed through the pred_dir
argument.
Projections are indicated using the proj_dir
argument.
As it is common to usually make projections to multiple climate scenarios or extents, the arrangement of Projection folders consists in a major folder with different sub-folders (one for each climatic scenario or extent).
It is essential that the name of the variables in those folder match the names of variables within the pred_dir
folder!
Results will be in a folder specified in the result_dir
argument, or if you chose not to supply any folder ENMTML
will create a folder named Results at the same level of your pred_dir
folder (see this at the figure at the Project Folder section.
Model Evaluation and information about the modelling routine can be found in several txt files within the Results folder.
Important sub-folders with result maps are:
- Algorithm: with tif present projections for the selected algorithms and the binary folders for the selected thresholds
- Ensemble: with tif projections for the selected ensembles.
- Projection: with tif projections for the different climatic scenarios/extents
Other sub-folders will be created according to the modeling routine and contain masks related to pseudo-absence allocation and geographical partition of datasets.
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