生态位
R包
工作流程
环境生态位模型
计算机科学
利基
物种分布
外推法
系统发育树
生态学
数据挖掘
数据库
生物
统计
数学
栖息地
计算科学
基因
生物化学
作者
Valeria Di Cola,Olivier Broennimann,Blaise Petitpierre,Frank T. Breiner,Manuela D‘Amen,Christophe F. Randin,Robin Engler,Julien Pottier,Dorothea Pio,Anne Dubuis,Loïc Pellissier,Rubén G. Mateo,Wim Hordijk,Nicolas Salamin,Antoine Guisan
出处
期刊:Ecography
[Wiley]
日期:2016-11-22
卷期号:40 (6): 774-787
被引量:1128
摘要
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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