45 citations · 242 across the 30 of their papers we have counts for
33 papers
stLMM: Bayesian Spatial and Space-Time Linear Mixed Models for Small-Area Ecological Estimation
Andrew O. Finley
stLMM is an R package for Bayesian linear mixed models with spatial, temporal, and space-time latent effects. It provides a common formula interface for independent and identically…
Model-assisted estimation of domain totals, areas, and densities in two-stage sample survey designs
Hans-Erik Andersen, Göran Ståhl, Bruce D. Cook +2
Model-assisted, two-stage forest survey sampling designs provide a means to combine airborne remote sensing data, collected in a sampling mode, with field plot data to increase the…
Modeling complex species-environment relationships through spatially-varying coefficient occupancy models
Jeffrey W. Doser, Andrew O. Finley, Sarah P. Saunders +3
Occupancy models are frequently used by ecologists to quantify spatial variation in species distributions while accounting for observational biases in the collection of detection-n…
Models to support forest inventory and small area estimation using sparsely sampled LiDAR: A case study involving G-LiHT LiDAR in Tanana, Alaska
Andrew O. Finley, Hans-Erik Andersen, Chad Babcock +3
A two-stage hierarchical Bayesian model is developed and implemented to estimate forest biomass density and total given sparsely sampled LiDAR and georeferenced forest inventory pl…
Guidelines for the use of spatially-varying coefficients in species distribution models
Jeffrey W. Doser, Marc Kéry, Sarah P. Saunders +6
Species distribution models (SDMs) are increasingly applied across macroscales. Such models typically assume that a single set of regression coefficients can adequately describe sp…
Joint species distribution models with imperfect detection for high-dimensional spatial data
Jeffrey W. Doser, Andrew O. Finley, Sudipto Banerjee
Determining spatial distributions of species and communities are key objectives of ecology and conservation. Joint species distribution models use multi-species detection-nondetect…