2 citations · 4 across the 8 of their papers we have counts for
10 papers
Within-fire estimates of biomass loss across national forests of the US West Coast: inventory-informed inference with uncertainty
Elliot S. Shannon, Andrew O. Finley, Paul B. May +4
Wildfire is reshaping forests in the western United States (US), yet estimates of wildfire impacts often rely on burned-area summaries or satellite-derived severity metrics that do…
A spatio-temporal statistical model for property valuation at country-scale with adjustments for regional submarkets
Brian O'Donovan, Andrew Finley, James Sweeney
Valuing residential property is inherently complex, requiring consideration of numerous environmental, economic, and property-specific factors. These complexities present significa…
Leveraging national forest inventory data to estimate forest carbon density status and trends for small areas
Elliot S. Shannon, Andrew O. Finley, Paul B. May +5
National forest inventory (NFI) data are often costly to collect, which inhibits efforts to estimate parameters of interest for small spatial, temporal, or biophysical domains. Tra…
Hierarchical models for small area estimation using zero-inflated forest inventory variables: comparison and implementation
Grayson W. White, Andrew O. Finley, Josh K. Yamamoto +5
National Forest Inventory (NFI) data are typically limited to sparse networks of sample locations due to cost constraints. While design-based estimators provide reliable forest par…
Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
Paul B. May, Andrew O. Finley
The USDA Forest Inventory and Analysis (FIA) program conducts a national forest inventory for the United States through a network of permanent field plots. FIA produces estimates o…
Multivariate spatial models for small area estimation of species-specific forest inventory parameters
Jeffrey W. Doser, Malcolm S. Itter, Grant M. Domke +1
National Forest Inventories (NFIs) provide statistically reliable information on forest resources at national and other large spatial scales. As forest management and conservation…
Clustering the Nearest Neighbor Gaussian Process
Ashlynn Crisp, Daniel Taylor-Rodriguez, Andrew O. Finley
Gaussian processes are ubiquitous as the primary tool for modeling spatial data. However, the Gaussian process is limited by its cost, making direct parameter fi…
Spatio-temporal areal models to support small area estimation: An application to national-scale forest carbon monitoring
Elliot S. Shannon, Andrew O. Finley, Paul B. May +4
National Forest Inventory (NFI) programs can provide vital information on the status, trend, and change in forest parameters. These programs are being increasingly asked to provide…
Calibrating satellite maps with field data for improved predictions of forest biomass
Paul B. May, Andrew O. Finley
Spatially explicit quantification of forest biomass is important for forest-health monitoring and carbon accounting. Direct field measurements of biomass are laborious and expensiv…
A spatial mixture model for spaceborne lidar observations over mixed forest and non-forest land types
Paul B. May, Andrew O. Finley, Ralph O. Dubayah
The Global Ecosystem Dynamics Investigation (GEDI) is a spaceborne lidar instrument that collects near-global measurements of forest structure. While expansive in scope, GEDI sampl…