Andrew O Finley
Latest
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Addressing data integration challenges to link ecological processes across scales
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Working across space and time: nonstationarity in ecological research and application
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R package for Nearest Neighbor Gaussian Process models
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A case study competition among methods for analyzing large spatial data
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Characterizing functional relationships between technophony and biophony: A western New York soundscape case study
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Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data
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EcoMem: An R package for quantifying ecological memory
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Efficient algorithms for Bayesian nearest neighbor Gaussian processes
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Assessing impact of exogenous features on biotic phenomena in the presence of strong spatial dependence: A lake sturgeon case study in natural stream settings
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Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations
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Regional-based mitigation to reduce wildlife--vehicle collisions
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Remote sensing to reduce the effects of spatial autocorrelation on design-based inference for forest inventory using systematic samples
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Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping
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A model-based approach to wildland fire reconstruction using sediment charcoal records
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Approaches for advancing scientific understanding of macrosystems
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Hierarchical Bayesian models for small area estimation of county-level private forest landowner population
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Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables
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Variable effects of climate on forest growth in relation to climate extremes, disturbance, and forest dynamics
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Evaluation of the USDA Forest Service National Woodland Owner Survey estimators for private forest area and landowners: a case study of Montana
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Hierarchical nearest-neighbor Gaussian process models for large geostatistical datasets
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Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data
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Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis
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Observation-based blended projections from ensembles of regional climate models
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On nearest-neighbor Gaussian process models for massive spatial data
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Predicting tree biomass growth in the temperate--boreal ecotone: Is tree size, age, competition, or climate response most important?
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Seedling survival responses to conspecific density, soil nutrients, and irradiance vary with age in a tropical forest
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Spatial variation in nutrient and water color effects on lake chlorophyll at macroscales
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Synergistic effects of climate and land cover: grassland birds are more vulnerable to climate change
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Distribution of near-surface permafrost in Alaska: Estimates of present and future conditions
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Landscape fragmentation affects responses of avian communities to climate change
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LiDAR based prediction of forest biomass using hierarchical models with spatially varying coefficients
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Linear models for airborne-laser-scanning-based operational forest inventory with small field sample size and highly correlated LiDAR data
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Spatial analysis of anthropogenic landscape disturbance and Buruli ulcer disease in Benin
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Spatial scaling of temporal changes in avian communities
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Accounting for the space-varying nature of the relationships between temporal community turnover and the environment
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Approaches to advance scientific understanding of macrosystems ecology
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Bayesian hierarchical models for spatially misaligned data in R
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Dynamic spatial regression models for space-varying forest stand tables
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Editors are editors, not oracles
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Integrating forest inventory and analysis data into a LIDAR-based carbon monitoring system
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Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets
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Modeling complex spatial dependencies: Low-rank spatially varying cross-covariances with application to soil nutrient data
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Permafrost and organic layer interactions over a climate gradient in a discontinuous permafrost zone
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Should species distribution models account for spatial autocorrelation? A test of model projections across eight millennia of climate change
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Spatial regression methods capture prediction uncertainty in species distribution model projections through time
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Strategies for minimizing sample size for use in airborne LiDAR-based forest inventory
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An analysis of asthma hospitalizations, air pollution, and weather conditions in Los Angeles County, California
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Approximate Bayesian inference for large spatial datasets using predictive process models
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Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes
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Multivariate spatial regression models for predicting individual tree structure variables using LiDAR data
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Spatial design for knot selection in knot-based dimension reduction models
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Tropical tree growth is correlated with soil phosphorus, potassium, and calcium, though not for legumes
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A hierarchical model for quantifying forest variables over large heterogeneous landscapes with uncertain forest areas
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Adaptive Gaussian predictive process models for large spatial datasets
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Comparing and blending regional climate model predictions for the American southwest
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Comparing spatially-varying coefficients models for analysis of ecological data with non-stationary and anisotropic residual dependence
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Effects of stand and inter-specific stocking on maximizing standing tree carbon stocks in the eastern United States
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Improving crop model inference through Bayesian melding with spatially varying parameters
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Variational Bayesian methods for spatial data analysis
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Hierarchical spatial process models for multiple traits in large genetic trials
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Nonlinear hierarchical models for predicting cover crop biomass using Normalized Difference Vegetation Index
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Spatial modelling of car ownership data: a case study from the United Kingdom
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Hierarchical spatial modeling of additive and dominance genetic variance for large spatial trial datasets
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Improving the performance of predictive process modeling for large datasets
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A Bayesian approach to multi-source forest area estimation
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Efficient k-nearest neighbor searches for multi-source forest attribute mapping
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Gaussian predictive process models for large spatial data sets
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Hierarchical multiresolution approaches for dense point-level breast cancer treatment data
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yaImpute: an R package for kNN imputation
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Estimating areal means and variances of forest attributes using the k-Nearest Neighbors technique and satellite imagery
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spBayes: an R package for univariate and multivariate hierarchical point-referenced spatial models
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Applying an efficient k-nearest neighbor search to forest attribute imputation
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Thoreau, Muir, and Jane Doe: different types of private forest owners need different kinds of forest management
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Delineation of forest/nonforest land use classes using nearest neighbor methods
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Timber harvesting as ongoing disturbance in a landscape of diverse ownership