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08/04/2023
Modeling complex species-environment relationships through spatially-varying coefficient occupancy models
Occupancy models are frequently used by ecologists to quantify spatial v...
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02/13/2023
Models to support forest inventory and small area estimation using sparsely sampled LiDAR: A case study involving G-LiHT LiDAR in Tanana, Alaska
A two-stage hierarchical Bayesian model is proposed to estimate forest b...
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01/13/2023
Guidelines for the use of spatially-varying coefficients in species distribution models
Species distribution models (SDMs) are increasingly applied across macro...
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09/23/2022
Quantifying and correcting geolocation error in sampling LiDAR forest canopy observations using high spatial accuracy ALS: A case study involving GEDI
Geolocation error in sampling LiDAR measurements of forest structure can...
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04/06/2022
Joint species distribution models with imperfect detection for high-dimensional spatial data
Determining spatial distributions of species and communities are key obj...
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11/23/2021
spOccupancy: An R package for single species, multispecies, and integrated spatial occupancy models
Occupancy modeling is a common approach to assess spatial and temporal s...
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09/08/2021
Simplifying small area estimation with rFIA: a demonstration of tools and techniques
The United States (US) Forest Service Forest Inventory and Analysis (FIA...
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06/16/2021
Estimating timber volume loss due to storm damage in Carinthia, Austria, using ALS/TLS and spatial regression models
A spatial regression model framework is presented to predict growing sto...
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01/10/2021
Grid-Parametrize-Split (GriPS) for Improved Scalable Inference in Spatial Big Data Analysis
Rapid advancements in spatial technologies including Geographic Informat...
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11/22/2020
Integrating automated acoustic vocalization data and point count surveys for efficient estimation of bird abundance
Monitoring wildlife abundance across space and time is an essential task...
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09/11/2020
A Bayesian hierarchical model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images
We develop a Bayesian Land Surface Phenology (LSP) model and examine its...
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03/25/2020
Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains
We introduce a class of scalable Bayesian hierarchical models for the an...
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03/23/2020
High-dimensional multivariate Geostatistics: A Bayesian Matrix-Normal Approach
Joint modeling of spatially-oriented dependent variables are commonplace...
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01/24/2020
R package for Nearest Neighbor Gaussian Process models
This paper describes and illustrates functionality of the spNNGP R packa...
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11/25/2019
ForestFit : An R package for modeling tree diameter distributions
Modeling the diameter distribution of trees in forest stands is a common...
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11/14/2019
rFIA: An R package for space-time estimation of forest attributes with the Forest Inventory and Analysis Database
rFIA is an R package designed to simplify the estimation of forest attri...
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11/08/2019
Assessing soundscape disturbance through hierarchical models and acoustic indices: a case study on a shelterwood logged northern Michigan forest
Assessing the effects of anthropogenic disturbances on wildlife is a nec...
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07/23/2019
Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data
A key challenge in spatial statistics is the analysis for massive spatia...
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05/03/2019
Characterizing functional relationships between technophony and biophony: A western New York soundscape case study
We develop a modeling framework to characterize the functional relations...
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03/07/2019
Bayesian spatially varying coefficient models in the spBayes R package
This paper describes and illustrates the addition of the spSVC function ...
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02/20/2019
EcoMem: An R package for quantifying ecological memory
Ecological processes may exhibit memory to past disturbances affecting t...
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10/19/2018
Remote sensing to reduce the effects of spatial autocorrelation on design-based inference for forest inventory using systematic samples
Systematic sampling is often used to select plot locations for forest in...
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01/06/2018
