Valerie LeMay

My areas of research are focused on:

• Spatial analyses models and methods to provide information up to larger spatial scales or down to local scales
• Imputation methods (nearest neighbour, model-based, etc.) for integrating multivariate and multi-source forest inventory information at one time and over time
• Developing methods to link growth and yield models with forest inventory data for forest level analyses
• Estimation of regeneration following partial cutting using overstory and ecological information using model-based and distribution-free methods
• Developing measures of structural diversity, including indices that combine spatial, species, and size heterogeneity
• Spatial analyses of tree spatial patterns over time using parameter prediction within a mixed-effects modelling framework
• Tree taper, volume, crown length, and leaf area models using nonlinear mixed-effects models
• Estimating tree internal decay using tobit, distribution-free, and other estimators
• Modelling changes in tree taper and shape over time
• Spatio-temporal analyses of plants and animals
• Meta-analysis of field experimental data for impacts of spacing and other silvicultural prescriptions
• Meta-analysis of published information for genetic impacts on growth at the stand-level

Teaching:

I teach courses in forest biometrics and forest measurements including:  introductory and advanced forest measurements;  information and data for forest management and conservation; advanced modelling using mixed-effects linear, nonlinear, and generalized linear models; applied multivariate analyses; and experimental design and analysis using a model-based approach. I have developed workshops on most of these topics, including one-day workshops on tree and stand measurements to obtain a estimate of volume, biomass, and carbon per ha for a small area.

Awards

Faculty of Forestry Killam Teaching Award 2004
Nominated for Graduate Students Mentoring Award 2004
Faculty of Graduate Studies Killam Teaching Award 2011