sdm: a reproducible R platform for species distribution modelling

Babak Naimi & Miguel Araújo


Ecography has just published a new software note article by Babak Naimi and Miguel Araújo featuring the new sdm R platform for species distributions modelling. Sdm R is an object-oriented, reproducible and extensible, platform for running models of species distribtions. It uses individual species and community-based approaches, enabling ensembles of models to be fitted and evaluated, to project species potential distributions in space and time. It provides a standardized and unified structure for handling species distributions data and modelling techniques, and supports markedly different modelling approaches, including correlative, process-based (mechanistic), agent-based, and cellular automata. The object-oriented design of software is such that scientists can modify existing methods, extend the framework by developing new methods or modelling procedures, and share them to be reproduced by other scientists. sdm can handle spatial and temporal data for single or multiple species and uses high performance computing solutions to speed up modelling and simulations. The framework is implemented in R, providing a flexible and easy-to-use GUI interface.

 

sdm-R made it to the front cover of Ecography!

 

A quick tutorial on how to install and use the package can be found here.

An interview with Babak Naimi about the package can be found here.

Reference to the paper:

Naimi, B. & Araújo, M.B. 2016. sdm: a reproducible and extensible R platform for species distribution modelling. Ecography. 39: 368–375. DOI: 10.1111/ecog.01881