Andrew O. Finley

According to our database, Andrew O. Finley authored at least 17 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Arne Nothdurft, Andreas Tockner, Sarah Witzmann, Christoph Gollob, Tim Ritter, Ralf Kraßnitzer, Karl Stampfer, Andrew O. Finley

Remote. Sens., June, 2024

2022

spNNGP <i>R</i> Package for Nearest Neighbor Gaussian Process Models.

Andrew O. Finley, Abhirup Datta, Sudipto Banerjee

J. Stat. Softw., 2022

A novel model to accurately predict continental-scale timing of forest green-up.

N. Neupane, Michele Peruzzi, Ali Arab, S. J. Mayor, J. C. Withey, L. Ries, Andrew O. Finley

Int. J. Appl. Earth Obs. Geoinformation, 2022

2020

ForestFit: An R package for modeling plant size distributions.

Mahdi Teimouri, Jeffrey W. Doser, Andrew O. Finley

Environ. Model. Softw., 2020

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

Hunter Stanke, Andrew O. Finley, Aaron S. Weed, Brian F. Walters, Grant M. Domke

Environ. Model. Softw., 2020

Bayesian spatially varying coefficient models in the spBayes R package.

Andrew O. Finley, Sudipto Banerjee

Environ. Model. Softw., 2020

2019

EcoMem: An R package for quantifying ecological memory.

Malcolm S. Itter, Jarno Vanhatalo, Andrew O. Finley

Environ. Model. Softw., 2019

2017

Bayesian Spatial Regression for Multisource Predictive Mapping.

Andrew O. Finley, Sudipto Banerjee

Proceedings of the Encyclopedia of GIS., 2017

2015

Linear Models for Airborne-Laser-Scanning-Based Operational Forest Inventory With Small Field Sample Size and Highly Correlated LiDAR Data.

Virpi Junttila, Tuomo Kauranne, Andrew O. Finley, John B. Bradford

IEEE Trans. Geosci. Remote. Sens., 2015

2013

Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data.

Chad Babcock, Jason Matney, Andrew O. Finley, Aaron Weiskittel, Bruce D. Cook

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets.

Andrew O. Finley, Sudipto Banerjee, Bruce D. Cook, John B. Bradford

Int. J. Appl. Earth Obs. Geoinformation, 2013

2012

Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes.

Andrew O. Finley, Sudipto Banerjee, Alan E. Gelfand

J. Geogr. Syst., 2012

Approximate Bayesian inference for large spatial datasets using predictive process models.

Jo Eidsvik, Andrew O. Finley, Sudipto Banerjee, Håvard Rue

Comput. Stat. Data Anal., 2012

2011

Variational Bayesian methods for spatial data analysis.

Qian Ren, Sudipto Banerjee, Andrew O. Finley, James S. Hodges

Comput. Stat. Data Anal., 2011

2009

Improving the performance of predictive process modeling for large datasets.

Andrew O. Finley, Huiyan Sang, Sudipto Banerjee, Alan E. Gelfand

Comput. Stat. Data Anal., 2009

2008

Bayesian Spatial Regression for Multi-source Predictive Mapping.

Andrew O. Finley, Sudipto Banerjee

Proceedings of the Encyclopedia of GIS., 2008

Hierarchical multiresolution approaches for dense point-level breast cancer treatment data.

Shengde Liang, Sudipto Banerjee, Sally Bushhouse, Andrew O. Finley, Bradley P. Carlin

Comput. Stat. Data Anal., 2008