sdm: a reproducible and extensible R platform for species distribution modelling

sdm: a reproducible and extensible R platform for species distribution modelling

sdm is an object‐oriented, reproducible and extensible, platform for species distribution modelling. 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 standar...

Full description

Saved in:
Bibliographic Details
Published in:Ecography (Copenhagen) 2016-04, Vol.39 (4), p.368-375
Main Authors: Naimi, Babak, Araújo, Miguel B
Format: Article
Language:eng
Subjects:
Algorithms
Automata theory
biogeography
Cellular automata
computer software
Design
Design modifications
Extensibility
Geographical distribution
Graphical user interface
methodology
Modelling
Object oriented programming
Programming languages
Reproducibility
Scientists
Software
Software notes
space and time
Spatial data
Species
User interface
Variables
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:sdm is an object‐oriented, reproducible and extensible, platform for species distribution modelling. 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.
ISSN:0906-7590
1600-0587