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ORCIDAndrew O. Finley
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Journal Articles
- 2024
[j16]Lu Zhang
, Andrew O. Finley, Arne Nothdurft, Sudipto Banerjee:
Bayesian modeling of incompatible spatial data: A case study involving Post-Adrian storm forest damage assessment. Int. J. Appl. Earth Obs. Geoinformation 135: 104224 (2024)- [j15]Arne Nothdurft, Andreas Tockner, Sarah Witzmann, Christoph Gollob, Tim Ritter, Ralf Kraßnitzer, Karl Stampfer, Andrew O. Finley:
Spatial Prediction of Diameter Distributions for the Alpine Protection Forests in Ebensee, Austria, Using ALS/PLS and Spatial Distributional Regression Models. Remote. Sens. 16(12): 2181 (2024) - 2022
- [j14]N. Neupane, Michele Peruzzi, Ali Arab, S. J. Mayor, J. C. Withey, L. Ries, Andrew O. Finley:
A novel model to accurately predict continental-scale timing of forest green-up. Int. J. Appl. Earth Obs. Geoinformation 108: 102747 (2022) - [j13]Andrew O. Finley, Abhirup Datta, Sudipto Banerjee:
spNNGP R Package for Nearest Neighbor Gaussian Process Models. J. Stat. Softw. 103(5) (2022) - 2020
- [j12]Andrew O. Finley, Sudipto Banerjee:
Bayesian spatially varying coefficient models in the spBayes R package. Environ. Model. Softw. 125: 104608 (2020) - [j11]Hunter Stanke, Andrew O. Finley, Aaron S. Weed, Brian F. Walters, Grant M. Domke:
rFIA: An R package for estimation of forest attributes with the US Forest Inventory and Analysis database. Environ. Model. Softw. 127: 104664 (2020) - [j10]Mahdi Teimouri, Jeffrey W. Doser, Andrew O. Finley:
ForestFit: An R package for modeling plant size distributions. Environ. Model. Softw. 131: 104668 (2020) - 2019
- [j9]Malcolm S. Itter, Jarno Vanhatalo, Andrew O. Finley:
EcoMem: An R package for quantifying ecological memory. Environ. Model. Softw. 119: 305-308 (2019) - 2015
- [j8]Virpi Junttila, Tuomo Kauranne, Andrew O. Finley, John B. Bradford:
Linear Models for Airborne-Laser-Scanning-Based Operational Forest Inventory With Small Field Sample Size and Highly Correlated LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 53(10): 5600-5612 (2015) - 2013
- [j7]Andrew O. Finley, Sudipto Banerjee, Bruce D. Cook, John B. Bradford:
Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets. Int. J. Appl. Earth Obs. Geoinformation 22: 147-160 (2013) - [j6]Chad Babcock, Jason Matney, Andrew O. Finley, Aaron Weiskittel, Bruce D. Cook:
Multivariate Spatial Regression Models for Predicting Individual Tree Structure Variables Using LiDAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(1): 6-14 (2013) - 2012
- [j5]Jo Eidsvik, Andrew O. Finley, Sudipto Banerjee, Håvard Rue:
Approximate Bayesian inference for large spatial datasets using predictive process models. Comput. Stat. Data Anal. 56(6): 1362-1380 (2012) - [j4]Andrew O. Finley, Sudipto Banerjee, Alan E. Gelfand:
Bayesian dynamic modeling for large space-time datasets using Gaussian predictive processes. J. Geogr. Syst. 14(1): 29-47 (2012) - 2011
- [j3]Qian Ren, Sudipto Banerjee, Andrew O. Finley, James S. Hodges:
Variational Bayesian methods for spatial data analysis. Comput. Stat. Data Anal. 55(12): 3197-3217 (2011) - 2009
- [j2]Andrew O. Finley, Huiyan Sang, Sudipto Banerjee, Alan E. Gelfand:
Improving the performance of predictive process modeling for large datasets. Comput. Stat. Data Anal. 53(8): 2873-2884 (2009) - 2008
- [j1]Shengde Liang, Sudipto Banerjee, Sally Bushhouse, Andrew O. Finley, Bradley P. Carlin:
Hierarchical multiresolution approaches for dense point-level breast cancer treatment data. Comput. Stat. Data Anal. 52(5): 2650-2668 (2008)
Reference Works
- 2017
- [r2]Andrew O. Finley, Sudipto Banerjee:
Bayesian Spatial Regression for Multisource Predictive Mapping. Encyclopedia of GIS 2017: 108-118 - 2008
- [r1]Andrew O. Finley, Sudipto Banerjee:
Bayesian Spatial Regression for Multi-source Predictive Mapping. Encyclopedia of GIS 2008: 45-52
Coauthor Index
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