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Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets

Journal of the American Statistical Association, 2016-06, Vol.111 (514), p.800-812

2016

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A Case Study Competition Among Methods for Analyzing Large Spatial Data

Journal of agricultural, biological, and environmental statistics, 2019-09, Vol.24 (3), p.398-425

2019

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Gaussian predictive process models for large spatial data sets

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2008-09, Vol.70 (4), p.825-848

2008

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Over half of western United States' most abundant tree species in decline

Nature communications, 2021-01, Vol.12 (1), p.451-11, Article 451

2021

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Addressing data integration challenges to link ecological processes across scales

Frontiers in ecology and the environment, 2021-02, Vol.19 (1), p.30-38

2021

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Distribution of near-surface permafrost in Alaska: Estimates of present and future conditions

Remote sensing of environment, 2015-10, Vol.168, p.301-315

2015

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Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes

Journal of computational and graphical statistics, 2019-04, Vol.28 (2), p.401-414

2019

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Improving the performance of predictive process modeling for large datasets

Computational statistics & data analysis, 2009-06, Vol.53 (8), p.2873-2884

2009

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spAbundance: An R package for single‐species and multi‐species spatially explicit abundance models

Methods in ecology and evolution, 2024-06, Vol.15 (6), p.1024-1033

2024

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Spatial Prediction of Diameter Distributions for the Alpine Protection Forests in Ebensee, Austria, Using ALS/PLS and Spatial Distributional Regression Models

Remote sensing (Basel, Switzerland), 2024-06, Vol.16 (12), p.2181

2024

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Spatial Variation in Nutrient and Water Color Effects on Lake Chlorophyll at Macroscales

PloS one, 2016-10, Vol.11 (10), p.e0164592-e0164592

2016

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Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains

Journal of the American Statistical Association, 2022-04, Vol.117 (538), p.969-982

2022

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Introduction to Bayesian Methods in Ecology and Natural Resources

1st Edition 2020, 2020

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Should species distribution models account for spatial autocorrelation? A test of model projections across eight millennia of climate change

Global ecology and biogeography, 2013-06, Vol.22 (6), p.760-771

2013

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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

PloS one, 2018-12, Vol.13 (12), p.e0204150-e0204150

2018

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spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models

Journal of statistical software, 2007-04, Vol.19 (4), p.1-24

2007

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A Bayesian model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images

Remote sensing of environment, 2021-08, Vol.261, p.112471, Article 112471

2021

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Environmental controls on Landsat‐derived phenoregions across an East African megatransect

Ecosphere (Washington, D.C), 2020-05, Vol.11 (5), p.n/a

2020

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Approaches to advance scientific understanding of macrosystems ecology

Frontiers in ecology and the environment, 2014-02, Vol.12 (1), p.15-23

2014

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Comparing spatially‐varying coefficients models for analysis of ecological data with non‐stationary and anisotropic residual dependence

Methods in ecology and evolution, 2011-04, Vol.2 (2), p.143-154

Finley, Andrew O.

2011

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Bayesian spatially varying coefficient models in the spBayes R package

Environmental modelling & software : with environment data news, 2020-03, Vol.125, p.104608, Article 104608

2020

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Permafrost and organic layer interactions over a climate gradient in a discontinuous permafrost zone

Environmental research letters, 2013-09, Vol.8 (3), p.35028-12

2013

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Joint species distribution models with imperfect detection for high‐dimensional spatial data

Ecology (Durham), 2023-09, Vol.104 (9), p.e4137-n/a

2023

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rFIA: An R package for estimation of forest attributes with the US Forest Inventory and Analysis database

Environmental modelling & software : with environment data news, 2020-05, Vol.127, p.104664, Article 104664

2020

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spBayes for Large Univariate and Multivariate Point-Referenced Spatio-Temporal Data Models

Journal of statistical software, 2015-01, Vol.63 (13), p.1-28

2015

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Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets

A Case Study Competition Among Methods for Analyzing Large Spatial Data

Gaussian predictive process models for large spatial data sets

Over half of western United States' most abundant tree species in decline

Addressing data integration challenges to link ecological processes across scales

Distribution of near-surface permafrost in Alaska: Estimates of present and future conditions

Efficient Algorithms for Bayesian Nearest Neighbor Gaussian Processes

Improving the performance of predictive process modeling for large datasets

spAbundance: An R package for single‐species and multi‐species spatially explicit abundance models

Spatial Prediction of Diameter Distributions for the Alpine Protection Forests in Ebensee, Austria, Using ALS/PLS and Spatial Distributional Regression Models

Spatial Variation in Nutrient and Water Color Effects on Lake Chlorophyll at Macroscales

Highly Scalable Bayesian Geostatistical Modeling via Meshed Gaussian Processes on Partitioned Domains

Introduction to Bayesian Methods in Ecology and Natural Resources

Should species distribution models account for spatial autocorrelation? A test of model projections across eight millennia of climate change

Assessing impact of exogenous features on biotic phenomena in the presence of strong spatial dependence: A lake sturgeon case study in natural stream settings

spBayes: An R Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models

A Bayesian model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images

Environmental controls on Landsat‐derived phenoregions across an East African megatransect

Approaches to advance scientific understanding of macrosystems ecology

Comparing spatially‐varying coefficients models for analysis of ecological data with non‐stationary and anisotropic residual dependence

Bayesian spatially varying coefficient models in the spBayes R package

Permafrost and organic layer interactions over a climate gradient in a discontinuous permafrost zone

Joint species distribution models with imperfect detection for high‐dimensional spatial data

rFIA: An R package for estimation of forest attributes with the US Forest Inventory and Analysis database

spBayes for Large Univariate and Multivariate Point-Referenced Spatio-Temporal Data Models

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