Open AccessmmSAR: an R‐package for multimodel species–area relationship inference
Author(s) -
Guilhaumon François,
Mouillot David,
Gimenez Olivier
Publication year - 2010
Publication title -
ecography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.973
H-Index - 128
eISSN - 1600-0587
pISSN - 0906-7590
DOI - 10.1111/j.1600-0587.2010.06304.x
Subject(s) - inference , computer science , ecology , r package , scalability , selection (genetic algorithm) , model selection , machine learning , artificial intelligence , biology , computational science , database
The species–area relationship (SAR) is one of the most fundamental tools in ecology. After almost a century of quantitative ecology, however, the quest for a “best SAR model” still remains elusive, with a substantial uncertainty about the best fitting SAR model frequently being observed. Recent research has required that this uncertainty be addressed, and a multimodel SAR framework has been devised. Here we introduce the mmSAR R‐package, which is a flexible and scalable implementation of the multimodel SAR framework for species‐area datasets, and provide some examples of its use. This R‐package provides functions for fitting SAR models, performing model selection, and the build up of multimodel SARs.