A key element to a successful Markov chain Monte Carlo (MCMC) inference is the
programming and run performance of the Markov chain. However, the explicit use of quality …

Over the past few decades, there has been a rapid proliferation of statistical methods that infer
evolutionary and ecological processes from data on species distributions. These methods …

There is a growing awareness of problems with the estimation of the ecological tolerances
of species through correlative modeling approaches. These problems have led some …

Environmental niche models, which are generated by combining species occurrence data
with environmental GIS data layers, are increasingly used to answer fundamental questions …

We present software that facilitates quantitative comparisons of environmental niche models
(ENMs). Our software quantifies similarity of ENMs generated using the program Maxent …

Maxent, one of the most commonly used methods for inferring species distributions and
environmental tolerances from occurrence data, allows users to fit models of arbitrary complexity. …

… , serum creatinine greater than 2.5 mg/dL, platelets less than 50 000/μL, absolute neutrophil
count less than 1000/μL, hemoglobin less than 8.0 g/dL, transaminases elevated 2 or more …

The ENMTools software package was introduced in 2008 as a platform for making measurements
on environmental niche models (ENMs, frequently referred to as species distribution …

… To compare predictions of environmental suitability, we used the relative rank (RR) metric
of Warren & Seifert (2011). We choose this metric instead of the Pearson correlation coefficient …

Modeling the distributions of species, especially of invasive species in non‐native ranges,
involves multiple challenges. Here, we developed some novel approaches to species …