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

Ecography (Copenhagen), 2017-06, Vol.40 (6), p.774-787 [Peer Reviewed Journal]

2016 The Authors ;Ecography © 2017 Nordic Society Oikos ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0906-7590 ;EISSN: 1600-0587 ;DOI: 10.1111/ecog.02671

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  • Title:
    ecospat: an R package to support spatial analyses and modeling of species niches and distributions
  • Author: 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
  • Subjects: Communities ; Life Sciences ; Modelling ; Permutations ; Predictions ; Workflow
  • Is Part Of: Ecography (Copenhagen), 2017-06, Vol.40 (6), p.774-787
  • Description: 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.
  • Publisher: Oxford, UK: Blackwell Publishing Ltd
  • Language: English
  • Identifier: ISSN: 0906-7590
    EISSN: 1600-0587
    DOI: 10.1111/ecog.02671
  • Source: Journals@Ovid Open Access Journal Collection Rolling
    ProQuest Central
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