Collaborative Research Team Project: 2021-2024
This project aims to bring together hydrology and statistical scientists in order to develop new generalizable statistical learning tools using multivariate functional data to
- Identify causes and consequences of environmental disturbances
- Identify individual and interactive controls on landscape vulnerability to multi-dimensional environmental disturbances
- Reflect the bi-directional feedback between environmental disturbances and the hydrologic function of earth systems, across distinct geographies and environmental settings in Canada.
These scientific aims will require corresponding advances in statistical modelling and analysis of multivariate functional data.
Ali Ameli, Department of Earth Ocean and Atmospheric Sciences, UBC
William Welch, Department of Statistics, UBC
Jiguo Cao, Department of Statistics and Actuarial Science, Simon Fraser University.
Pierre Duchesne, Université du Montréal
Richard Arsenault, Université du Quebec (Montréal); British Columbia Ministry of Forests, Lands, Natural Resource Operations and Rural Development (Prince George).