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ecospat: an R package to support spatial analyses and modeling of species niches and distributions
Authors:Valeria Di Cola  Olivier Broennimann  Blaise Petitpierre  Frank T Breiner  Manuela D'Amen  Christophe Randin  Robin Engler  Julien Pottier  Dorothea Pio  Anne Dubuis  Loic Pellissier  Rubén G Mateo  Wim Hordijk  Nicolas Salamin  Antoine Guisan
Institution:1. Dept of Ecology and Evolution (DEE) –, Univ. of Lausanne, Lausanne, Switzerland. CR also at: Centre de Recherches sur les Ecosystèmes d altitude CREA, Observatoire du Mont‐Blanc, Chamonix, France. DP also at: Fauna and Flora International, London, UK. WH also at: Konrad Lorenz Inst. for Evolution and Cognition Research, Klosterneuburg, Austria. AG also at: Inst. of Earth Surface Dynamics (IDYST), Univ. of Lausanne, Lausanne, Switzerland;2. http://orcid.org/0000‐0003‐4465‐1684;3. Vital‐IT group, SIB Swiss Inst. of Bioinformatics, Génopode, Lausanne, Switzerland. RE and NS also at: SIB Swiss Inst. of Bioinformatics, Génopode, Lausanne, Switzerland;4. INRA, UR874‐Grassland Ecosystem Research Unit, Clermont‐Ferrand, France;5. Landscape Ecology, Inst. of Terrestrial Ecosystems, Zürich, Switzerland. LP, FTB and CR also at: Swiss Federal Research Inst. WSL, Birmensdorf, Switzerland
Abstract: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.
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