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Citations per year

Number of citations per year for the bioinformatics software tool ENMeval

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ENMeval specifications


Unique identifier OMICS_28005
Name ENMeval
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Version 0.3.0
Stability Stable
methods, stats, rJava(≥0.5-0), parallel, graphics, utils, grDevices, rmarkdown, knitr, foreach, doParallel, sp, rgeos, R(≥3.4), raster, maptools, dismo, maxnet, spocc
Maintained Yes


No version available


  • person_outline Robert Muscarella

Publication for ENMeval

ENMeval citations


A climate associated multispecies cryptic cline in the northwest Atlantic

Sci Adv
PMCID: 5873842
PMID: 29600272
DOI: 10.1126/sciadv.aaq0929

[…] rations. After spatially rarefying occurrence data and selecting background sample locations according to a “bias surface” (), we used replicated, geographically structured cross validation using the ENMeval package in R () followed by bootstrap replication (30 iterations) to generate CIs around prediction surfaces in MaxEnt. These methods help mitigate potential issues associated with spatial aut […]


Can Niche Modeling and Geometric Morphometrics Document Competitive Exclusion in a Pair of Subterranean Rodents (Genus Ctenomys) with Tiny Parapatric Distributions?

Sci Rep
PMCID: 5701118
PMID: 29176709
DOI: 10.1038/s41598-017-16243-2

[…] ombination of feature classes for both species. For C. flamarioni the optimal value for the regularization multiplier was 1, whereas for C. minutus it was 1.5 (see results of model tuning analyses in ENMeval in Supplementary Information Tables  and ).Final models of both species identified abiotically suitable areas in the coastal plain region of the southern extreme of Brazil. The final model of […]


Schistosoma japonicum transmission risk maps at present and under climate change in mainland China

PLoS Negl Trop Dis
PMCID: 5659800
PMID: 29040273
DOI: 10.1371/journal.pntd.0006021
call_split See protocol

[…] ike information criterion (AICc) as criteria with which to address overfitting; this approach does not control model fit directly, but rather uses AICc to choose appropriate settings []. We used the “ENMeval” package [] to fine-tune Maxent models by seeking the minimum value of AICc among candidate models. ENMeval provides an automated way to execute Maxent models across a user-specified range of […]


Genetic and ecological insights into glacial refugia of walnut (Juglans regia L.)

PLoS One
PMCID: 5638312
PMID: 29023476
DOI: 10.1371/journal.pone.0185974
call_split See protocol

[…] The unfiltered data with 237 data points and two filtered data with 136 and 112 occurrence points, were subjected to model tuning using an R package ENMeval [] to identify the optimum data set for modeling current distribution of walnut. The ENMevaluate function in the ENMeval package performs tuning and evaluation of models by automatically imple […]


Evidence of niche shift and invasion potential of Lithobates catesbeianus in the habitat of Mexican endemic frogs

PLoS One
PMCID: 5617169
PMID: 28953907
DOI: 10.1371/journal.pone.0185086

[…] pling bias, and for studies that require transfer models through space or time [–].In this study, the calibration and evaluation method for L. catesbeianus modeling was carried out using the library "ENMeval" [] in the statistical software R 3.1.3 [] considering the known distribution of this species in the native range in the United States and invaded ranges in Mexico, the climatic variables defi […]


Parasite biodiversity faces extinction and redistribution in a changing climate

Sci Adv
PMCID: 5587099
PMID: 28913417
DOI: 10.1126/sciadv.1602422

[…] le set reduction (to reduce unnecessary complexity), and adjustment of the regularization parameter have all been shown to vastly strengthen MaxEnt models (, , ). These processes are all automated in ENMeval, an R package that performs cross-validation and model tuning (). We used ENMeval to automate analyses for all 457 species, with the selection of the regularization parameter and feature class […]

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ENMeval institution(s)
Department of Ecology, Evolution and Environmental Biology, Columbia University, New York, NY, USA; Department of Biology, City College of the City University of New York, New York, NY, USA; Graduate Center of the City University of New York, New York, NY, USA; Division of Vertebrate Zoology (Mammalogy), American Museum of Natural History, New York, NY, USA
ENMeval funding source(s)
Supported by NSFDEB 1311367, NSF-DEB 1119915, the Graduate Center of the City University of New York (Science Fellowship and Doctoral Student’s Council Dissertation Award, CUNY Science Scholarship and Graduate Assistantship), and the Luis Stokes Alliance for Minority Participation (Bridge to Doctorate Fellowship).

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