embarcadero: Species distribution modelling with Bayesian additive regression trees in r

A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels

(2019) Anna Norberg et al.   ECOLOGICAL MONOGRAPHS

The global distribution of Bacillus anthracis and associated anthrax risk to humans, livestock and wildlife

(2019) Colin J. Carlson et al.   Nature Microbiology

Causal Inference in Spatial Mapping

(2019) Moritz U.G. Kraemer et al.   TRENDS IN PARASITOLOGY

Bayesian regression tree ensembles that adapt to smoothness and sparsity

(2018) Antonio R. Linero et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Predicting human-driving behavior to help driverless vehicles drive: random intercept Bayesian additive regression trees

(2018) Yaoyuan Vincent Tan et al.   Statistics and Its Interface

Predicting reservoir hosts and arthropod vectors from evolutionary signatures in RNA virus genomes

(2018) Simon A. Babayan et al.   SCIENCE

Paintings predict the distribution of species, or the challenge of selecting environmental predictors and evaluation statistics

(2017) Yoan Fourcade et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Evaluating Bayesian spatial methods for modelling species distributions with clumped and restricted occurrence data

(2017) David W. Redding et al.   PLoS One

Crimean-Congo Hemorrhagic Fever: Tick-Host-Virus Interactions

(2017) Anna Papa et al.   Frontiers in Cellular and Infection Microbiology

Bayesian Regression Trees for High-Dimensional Prediction and Variable Selection

(2016) Antonio R. Linero   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Fast and flexible Bayesian species distribution modelling using Gaussian processes

(2016) Nick Golding et al.   Methods in Ecology and Evolution

Mapping global environmental suitability for Zika virus

(2016) Jane P Messina et al.   eLife

Projecting future expansion of invasive species: comparing and improving methodologies for species distribution modeling

(2015) Kumar P. Mainali et al.   GLOBAL CHANGE BIOLOGY

Is my species distribution model fit for purpose? Matching data and models to applications

(2015) Gurutzeta Guillera-Arroita et al.   GLOBAL ECOLOGY AND BIOGEOGRAPHY

The global distribution of Crimean-Congo hemorrhagic fever

(2015) Jane P. Messina et al.   TRANSACTIONS OF THE ROYAL SOCIETY OF TROPICAL MEDICINE AND HYGIENE

A global compendium of human Crimean-Congo haemorrhagic fever virus occurrence

(2015) Jane P Messina et al.   Scientific Data

Mapping the zoonotic niche of Ebola virus disease in Africa

(2014) David M Pigott et al.   eLife

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

(2013) Cory Merow et al.   ECOGRAPHY

The global distribution and burden of dengue

(2013) Samir Bhatt et al.   NATURE

A comparison of Maxlike and Maxent for modelling species distributions

(2013) Cory Merow et al.   Methods in Ecology and Evolution

Quantifying the benefit of early climate change mitigation in avoiding biodiversity loss

(2013) R. Warren et al.   Nature Climate Change

Focus on poleward shifts in species' distribution underestimates the fingerprint of climate change

(2012) Jeremy VanDerWal et al.   Nature Climate Change

To what are woodland birds responding? Inference on relative importance of in-site habitat variables using several ensemble habitat modelling techniques

(2011) Jian D. L. Yen et al.   ECOGRAPHY

BART: Bayesian additive regression trees

(2010) Hugh A. Chipman et al.   Annals of Applied Statistics

A statistical explanation of MaxEnt for ecologists

(2010) Jane Elith et al.   DIVERSITY AND DISTRIBUTIONS

Effects of sample size on the performance of species distribution models

(2008) M. S. Wisz et al.   DIVERSITY AND DISTRIBUTIONS

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY