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Maximum entropy modeling of species geographic distributions
Novel methods improve prediction of species' distributions from occurrence data
This work compared 16 modelling methods over 226 species from 6 regions of the world, creating the most comprehensive set of model comparisons to date and found that presence-only data were effective for modelling species' distributions for many species and regions.
Ecological Niches and Geographic Distributions
This book provides a first synthetic view of an emerging area of ecology and biogeography, linking individual- and population-level processes to geographic distributions and biodiversity patterns.…
ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity for Maxent ecological niche models
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…
Opening the black box: an open-source release of Maxent
- Steven J. Phillips, Robert P. Anderson, Miroslav Dudík, R. Schapire, M. Blair
- Computer Science
- 1 July 2017
A new open-source release of the Maxent software for modeling species distributions from occurrence records and environmental data is announced, and a new R package for fitting Maxent models using the glmnet package for regularized generalized linear models is described.
Evaluating predictive models of species’ distributions: criteria for selecting optimal models
Making better Maxent models of species distributions: complexity, overfitting and evaluation
Models of species niches and distributions have become invaluable to biogeographers over the past decade, yet several outstanding methodological issues remain. Here we address three critical ones:…
Ecological Niches and Geographic Distributions (MPB-49)
The effect of the extent of the study region on GIS models of species geographic distributions and estimates of niche evolution: preliminary tests with montane rodents (genus Nephelomys) in Venezuela
This work examines how changes in the extent of the study region affects models of two rodents, Nephelomys caracolus and Nep Helomys meridensis.