UNDER UPDATE! # ENMTML DOI License Lifecycle:manturing

An R package for an integrated construction of Ecological Niche Models

Installation 

if (!"remotes"%in%installed.packages()){install.packages("remotes")}
remotes::install_github("cran/rgeos")
remotes::install_github("cran/rgdal")
remotes::install_github("andrefaa/ENMTML")

Why ENMTML?

ENMTML stands for Ecological Niche Modelling at The MetaLand EcologyLab.
It is a product from the Prof. Paulo De Marco’s lab in Universidade Federal de Goiás, Brasil.

It puts together a lot of our work with ENM’s in the past years in a single package, with the objective of making it easy to use but also covering the complex methodological development that exists in the field.

Package website

See ENMTML package website (https://andrefaa.github.io/ENMTML) for further details of functions and examples

What is the main objective of ENMTML?

We believe there is a division within ENM/SDM.

Developers are constantly coming up with better methods, which causes those improvements to be scattered throughout literature and not always reach users.
This effect is potentialized as novelties are sometimes built within different R-packages, which demand users to also have some comprehension of programming.

The main objective of ENMTML is to minimize those issues.

We gather here most of the methodological development on ENM and present them to users in a single function with arguments related to those methodological decisions.

We bring together several alternatives for:

  • Variable collinearity control
  • Bias control
  • Accessible area delimitation
  • Pseudo-absence allocation
  • Data partition
  • A wide variety of algorithms
  • Thresholds
  • Evaluation metrics
  • Deal with overprediction (MSDM)
  • Ensemble models
  • Projection to a different time period/spatial extent (MOP calculation included)

What if I couldn’t find what I was looking for in ENMTML?

Please let us know!

We are regularly working on the package and are very interested in incorporating new functionalities to the package.

Last but not least

There are no defaults!

We believe every ENM should be carefully planned and every decision matters!

We attempted to present a solid background for all methodological alternatives in our package, you can find in our article specific details on where to find a detailed description of the included methods.

CITATION:

Andrade, A.F.A., Velazco, S.J.E., De Marco Jr, P., 2020. ENMTML: An R package for a straightforward construction of complex ecological niche models. Environmental Modelling & Software 125, 104615. https://doi.org/10.1016/j.envsoft.2019.104615

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