ADVANCES

Integrating new statistical frameworks into eDNA survey and analysis at the landscape scale

Developing a statistical methodology for the assessment and management of peatland (StAMP)

Statistical inference and uncertainty quantification for complex process-based models using multiple data sets

PRAFOR: Probabilistic drought Risk Analysis for FORested landscapes

Assessing Statistical models of Temporary River Intermittence for Decision makers (ASTRID)

Issues of Uncertainty and Scale in Derived Products

Quantifying uncertainty in the predictions of complex process-based models

Landscapes For Sequestering Carbon

Explainable AI for UK agricultural land use decision-making