作者
Robert Muscarella, Peter J Galante, Mariano Soley‐Guardia, Robert A Boria, Jamie M Kass, María Uriarte, Robert P Anderson
发表日期
2014/11
期刊
Methods in ecology and evolution
卷号
5
期号
11
页码范围
1198-1205
简介
- Recent studies have demonstrated a need for increased rigour in building and evaluating ecological niche models (ENMs) based on presence‐only occurrence data. Two major goals are to balance goodness‐of‐fit with model complexity (e.g. by ‘tuning’ model settings) and to evaluate models with spatially independent data. These issues are especially critical for data sets suffering from sampling bias, and for studies that require transferring models across space or time (e.g. responses to climate change or spread of invasive species). Efficient implementation of procedures to accomplish these goals, however, requires automation.
- We developed ENMeval, an R package that: (i) creates data sets for k‐fold cross‐validation using one of several methods for partitioning occurrence data (including options for spatially independent partitions), (ii) builds a series of candidate models using Maxent with a variety of user …
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R Muscarella, PJ Galante, M Soley‐Guardia, RA Boria… - Methods in ecology and evolution, 2014