ENMeval: An R package for conducting spatially independent evaluations and estimating optimal model complexity forMaxentecological niche models

A framework for using niche models to estimate impacts of climate change on species distributions

(2015) Robert P. Anderson   Annals of the New York Academy of Sciences

Finite-sample equivalence in statistical models for presence-only data

(2013) William Fithian et al.   Annals of Applied Statistics

Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology

(2013) Ian W. Renner et al.   BIOMETRICS

Incorporating model complexity and spatial sampling bias into ecological niche models of climate change risks faced by 90 California vertebrate species of concern

(2013) Dan L. Warren et al.   DIVERSITY AND DISTRIBUTIONS

A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter

(2013) Cory Merow et al.   ECOGRAPHY

Estimating optimal complexity for ecological niche models: A jackknife approach for species with small sample sizes

(2013) Mariya Shcheglovitova et al.   ECOLOGICAL MODELLING

Using Maxent to model the historic distributions of stonefly species in Illinois streams: The effects of regularization and threshold selections

(2013) Yong Cao et al.   ECOLOGICAL MODELLING

Making better Maxentmodels of species distributions: complexity, overfitting and evaluation

(2013) Aleksandar Radosavljevic et al.   JOURNAL OF BIOGEOGRAPHY

The Effects of Sampling Bias and Model Complexity on the Predictive Performance of MaxEnt Species Distribution Models

(2013) Mindy M. Syfert et al.   PLoS One

Cross-validation of species distribution models: removing spatial sorting bias and calibration with a null model

(2012) Robert J. Hijmans   ECOLOGY

Uses and misuses of bioclimatic envelope modeling

(2012) Miguel B. Araújo et al.   ECOLOGY

Correlation and process in species distribution models: bridging a dichotomy

(2012) Carsten F. Dormann et al.   JOURNAL OF BIOGEOGRAPHY

Presence-only modelling using MAXENT: when can we trust the inferences?

(2012) Charles B. Yackulic et al.   Methods in Ecology and Evolution

Assessing transferability of ecological models: an underappreciated aspect of statistical validation

(2012) Seth J. Wenger et al.   Methods in Ecology and Evolution

Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent

(2011) Robert P. Anderson et al.   ECOLOGICAL MODELLING

A statistical explanation of MaxEnt for ecologists

(2010) Jane Elith et al.   DIVERSITY AND DISTRIBUTIONS

Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria

(2010) Dan L. Warren et al.   ECOLOGICAL APPLICATIONS

The art of modelling range-shifting species

(2010) Jane Elith et al.   Methods in Ecology and Evolution

Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data

(2009) Steven J. Phillips et al.   ECOLOGICAL APPLICATIONS

Spatially autocorrelated sampling falsely inflates measures of accuracy for presence-only niche models

(2009) Samuel D. Veloz   JOURNAL OF BIOGEOGRAPHY

Transferability, sample selection bias and background data in presence-only modelling: a response to Peterson et al. (2007)

(2008) Steven J. Phillips   ECOGRAPHY

Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation

(2008) Steven J. Phillips et al.   ECOGRAPHY

ENVIRONMENTAL NICHE EQUIVALENCY VERSUS CONSERVATISM: QUANTITATIVE APPROACHES TO NICHE EVOLUTION

(2008) Dan L. Warren et al.   EVOLUTION

Integrating GIS-based environmental data into evolutionary biology

(2008) Kenneth H. Kozak et al.   TRENDS IN ECOLOGY & EVOLUTION

AUC: a misleading measure of the performance of predictive distribution models

(2007) Jorge M. Lobo et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY