Projects

A statistics course for ecologists covering topics from basic hypothesis testing and linear regression to mixed models and multivariate analyses.

A course on advanced statistical topics (e.g. bootstrap, smoothing splines, Bayesian analysis, spatial and temporal dependence) with applications in ecology.

Fit individual-based models of animal movement to field data.

A workshop on manipulating and visualizing georeferenced data in R.

R package to submit calculations to a ‘Slurm’ cluster.

Estimate seed dispersal and seedling survival vs. distance from the parent tree.

A short course on spatial statistics (point processes, geostatistics and areal data analysis) theory and examples in R.

Data fusion methods for the historical reconstruction and near-term forecasting of forest insect outbreaks.