output
20122025
most citedUnderstanding uncertainty in temperature effects on vector-borne disease: A Bayesian approach

110 citations

19 papers

cond-mat.dis-nn2025★ 2 cited

Phenomenological model of crack patterns in thin colloidal films undergoing desiccation

Yuri Yu. Tarasevich, Andrei V. Eserkepov, Irina V. Vodolazskaya +1

A number of geometric and topological properties of samples of crack-template based conductive films are examined to assess the degree to which Voronoi diagrams can successfully mo…

stat.AP2024★ 8 cited

From pixels to parcels: flexible, practical small-area uncertainty estimation for spatial averages obtained from aboveground biomass maps

Lucas K. Johnson, Grant M Domke, Stephen V Stehman +2

Fine-resolution maps of forest aboveground biomass (AGB) effectively represent spatial patterns and can be flexibly aggregated to map subregions by computing spatial averages or to…

stat.AP2024★ 2 cited

New allometric models for the USA create a step-change in forest carbon estimation, modeling, and mapping

Lucas K. Johnson, Michael J. Mahoney, Grant Domke +1

The United States national forest inventory (NFI) serves as the foundation for forest aboveground biomass (AGB) and carbon accounting across the nation. These data enable design-ba…

cond-mat.stat-mech2024★ 2 cited

Lattice model for percolation on a plane of partially aligned sticks with length dispersity

Avik P. Chatterjee, Yuri Yu. Tarasevich

A lattice-based model for continuum percolation is applied to the case of randomly located, partially aligned sticks with unequal lengths in 2D which are allowed to cross each othe…

stat.AP2023★ 14 cited

Mapping historical forest biomass for stock-change assessments at parcel to landscape scales

Lucas K. Johnson, Michael J. Mahoney, Madeleine L. Desrochers +1

Understanding historical forest dynamics, specifically changes in forest biomass and carbon stocks, has become critical for assessing current forest climate benefits and projecting…

stat.AP2022★ 20 cited

Fine-resolution landscape-scale biomass mapping using a spatiotemporal patchwork of LiDAR coverages

Lucas K. Johnson, Michael J. Mahoney, Eddie Bevilacqua +3

Estimating forest AGB at large scales and fine spatial resolutions has become increasingly important for greenhouse gas accounting, monitoring, and verification efforts to mitigate…