A machine-learning approach for extending classical wildlife resource selection analyses

Relative Selection Strength: Quantifying effect size in habitat- and step-selection inference

(2017) Tal Avgar et al.   Ecology and Evolution

A graphical framework for model selection criteria and significance tests: refutation, confirmation and ecology

(2016) Ken Aho et al.   Methods in Ecology and Evolution

Integrated step selection analysis: bridging the gap between resource selection and animal movement

(2016) Tal Avgar et al.   Methods in Ecology and Evolution

EDITORIAL: Stuck in motion? Reconnecting questions and tools in movement ecology

(2015) Luca Börger   JOURNAL OF ANIMAL ECOLOGY

Spatial distributions and resource selection by mule deer in an arid environment: Responses to provision of water

(2015) Cody J. McKee et al.   JOURNAL OF ARID ENVIRONMENTS

Fitting Linear Mixed-Effects Models Usinglme4

(2015) Douglas Bates et al.   Journal of Statistical Software

Effects of large-scale gold mining on migratory behavior of a large herbivore

(2015) Marcus E. Blum et al.   Ecosphere

Life history and spatial traits predict extinction risk due to climate change

(2014) Richard G. Pearson et al.   Nature Climate Change

Behavior and nutritional condition buffer a large-bodied endotherm against direct and indirect effects of climate

(2013) Ryan A. Long et al.   ECOLOGICAL MONOGRAPHS

Practical guidance on characterizing availability in resource selection functions under a use–availability design

(2013) Joseph M. Northrup et al.   ECOLOGY

Risk-sensitive allocation in seasonal dynamics of fat and protein reserves in a long-lived mammal

(2013) Kevin L. Monteith et al.   JOURNAL OF ANIMAL ECOLOGY

A Migratory Northern Ungulate in the Pursuit of Spring: Jumping or Surfing the Green Wave?

(2012) Richard Bischof et al.   AMERICAN NATURALIST

A review of supervised machine learning algorithms and their applications to ecological data

(2012) C. Crisci et al.   ECOLOGICAL MODELLING

Modeling spatial patterns of fire occurrence in Mediterranean Europe using Multiple Regression and Random Forest

(2012) Sandra Oliveira et al.   FOREST ECOLOGY AND MANAGEMENT

Pseudo-absences, pseudo-models and pseudo-niches: pitfalls of model selection based on the area under the curve

(2012) Duncan Golicher et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Insights into the area under the receiver operating characteristic curve (AUC) as a discrimination measure in species distribution modelling

(2011) Alberto Jiménez-Valverde   GLOBAL ECOLOGY AND BIOGEOGRAPHY

Uninformative Parameters and Model Selection Using Akaike's Information Criterion

(2011) TODD W. ARNOLD   JOURNAL OF WILDLIFE MANAGEMENT

Classification in conservation biology: A comparison of five machine-learning methods

(2010) Christian Kampichler et al.   Ecological Informatics

Global positioning system and associated technologies in animal behaviour and ecological research

(2010) S. M. Tomkiewicz et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Building the bridge between animal movement and population dynamics

(2010) J. M. Morales et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Animal ecology meets GPS-based radiotelemetry: a perfect storm of opportunities and challenges

(2010) F. Cagnacci et al.   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES

Species Distribution Models: Ecological Explanation and Prediction Across Space and Time

(2009) Jane Elith et al.   Annual Review of Ecology Evolution and Systematics

Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models

(2009) Jane Elith et al.   ECOGRAPHY

Methods to quantify variable importance: implications for the analysis of noisy ecological data

(2009) Kim Murray et al.   ECOLOGY

Conditional Variable Importance for Random Forests

(2008) Carolin Strobl et al.   BMC BIOINFORMATICS

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

(2008) Steven J. Phillips et al.   ECOGRAPHY

A working guide to boosted regression trees

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

Machine Learning Methods Without Tears: A Primer for Ecologists

(2008) Julian D. Olden et al.   QUARTERLY REVIEW OF BIOLOGY

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

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