Andrew O. Finley
Geospatial Lab
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R Forestry Textbook
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Bruce D Cook
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Conjugate Nearest Neighbor Gaussian Process Models for Efficient Statistical Interpolation of Large Spatial Data
Efficient algorithms for Bayesian nearest neighbor Gaussian processes
Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations
Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping
Joint hierarchical models for sparsely sampled high-dimensional LiDAR and forest variables
Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data
Bayesian hierarchical models for spatially misaligned data in R
Dynamic spatial regression models for space-varying forest stand tables
Hierarchical Bayesian spatial models for predicting multiple forest variables using waveform LiDAR, hyperspectral imagery, and large inventory datasets
Multivariate spatial regression models for predicting individual tree structure variables using LiDAR data
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