ecospat: an R package to support spatial analyses and modeling of species niches and distributions

The aim of the ecospat package is to make available novel tools and methods to support spatial analyses and modeling of species niches and distributions in a coherent workflow. The package is written in the R language (R Development Core Team) and contains several features, unique in their implement...

Full description

Saved in:

Bibliographic Details
Published in:	Ecography (Copenhagen) 2017-06, Vol.40 (6), p.774-787
Main Authors:	Di Cola, Valeria, Broennimann, Olivier, Petitpierre, Blaise, Breiner, Frank T., D'Amen, Manuela, Randin, Christophe, Engler, Robin, Pottier, Julien, Pio, Dorothea, Dubuis, Anne, Pellissier, Loic, Mateo, Rubén G., Hordijk, Wim, Salamin, Nicolas, Guisan, Antoine
Format:	Article
Language:	eng
Subjects:	Communities Life Sciences Modelling Permutations Predictions Workflow
Online Access:	Request full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	The aim of the ecospat package is to make available novel tools and methods to support spatial analyses and modeling of species niches and distributions in a coherent workflow. The package is written in the R language (R Development Core Team) and contains several features, unique in their implementation, that are complementary to other existing R packages. Pre‐modeling analyses include species niche quantifications and comparisons between distinct ranges or time periods, measures of phylogenetic diversity, and other data exploration functionalities (e.g. extrapolation detection, ExDet). Core modeling brings together the new approach of ensemble of small models (ESM) and various implementations of the spatially‐explicit modeling of species assemblages (SESAM) framework. Post‐modeling analyses include evaluation of species predictions based on presence‐only data (Boyce index) and of community predictions, phylogenetic diversity and environmentally‐constrained species co‐occurrences analyses. The ecospat package also provides some functions to supplement the ‘biomod2’ package (e.g. data preparation, permutation tests and cross‐validation of model predictive power). With this novel package, we intend to stimulate the use of comprehensive approaches in spatial modelling of species and community distributions.
ISSN:	0906-7590 1600-0587