36 citations · 44 across the 8 of their papers we have counts for
8 papers
Data fusion of distance sampling and capture-recapture data
Narmadha M. Mohankumar, Trevor J. Hefley, Katy Silber +1
Species distribution models (SDMs) are increasingly used in ecology, biogeography, and wildlife management to learn about the species-habitat relationships and abundance across spa…
When and where: estimating the date and location of introduction for exotic pests and pathogens
Trevor J. Hefley, Robin E. Russell, Anne E. Ballmann +1
A fundamental question during the outbreak of a novel disease or invasion of an exotic pest is: At what location and date was it first introduced? With this information, future int…
Using machine learning to identify nontraditional spatial dependence in occupancy data
Narmadha M. Mohankumar, Trevor J. Hefley
Spatial models for occupancy data are used to estimate and map the true presence of a species, which may depend on biotic and abiotic factors as well as spatial autocorrelation. Tr…
Accounting for location uncertainty in distance sampling data
Trevor J. Hefley, W. Alice Boyle, Narmadha M. Mohankumar
Ecologists use distance sampling to estimate the abundance of plants and animals while correcting for undetected individuals. By design, data collection is simplified by requiring…
Model selection for ecological community data using tree shrinkage priors
Trevor Hefley
Researchers and managers model ecological communities to infer the biotic and abiotic variables that shape species' ranges, habitat use, and co-occurrence which, in turn, are used…
Recovering individual-level spatial inference from aggregated binary data
Nelson B. Walker, Trevor J. Hefley, Anne E. Ballmann +2
Binary regression models are commonly used in disciplines such as epidemiology and ecology to determine how spatial covariates influence individuals. In many studies, binary data a…