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

Détails

ID Serval
serval:BIB_7F27FB415DA8
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
ecospat: an R package to support spatial analyses and modeling of species niches and distributions
Périodique
Ecography
Auteur⸱e⸱s
Di Cola V., Broennimann O., Petitpierre B., Breiner F.T., D'Amen M., Randin C., Engler R., Pottier J., Pio D., Dubuis A., Pellissier L., Mateo R.G., Hordijk W., Salamin N., Guisan A.
ISSN
1600-0587
ISSN-L
0906-7590
Statut éditorial
Publié
Date de publication
2017
Peer-reviewed
Oui
Volume
40
Numéro
6
Pages
774-787
Langue
anglais
Résumé
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 2016) 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.
Web of science
Open Access
Oui
Création de la notice
23/11/2016 23:32
Dernière modification de la notice
20/08/2019 15:40
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