IER specializes in finding solutions to applied resource problems using cutting-edge statistical and analysis tools.
- Biological hypothesis driven mark-recapture and survival analysis to test hypothesis regarding factors affecting population size, trend, and demography using information theoretic model selection methods.
- Habitat selection and occupancy models to determine resources most selected by wildlife species and assess trends in occupancy of habitats.
- Analyses of covariance that allow testing of research or management hypotheses while controlling for other extraneous factors.
- Data-driven population viability analysis to evaluate conservation and research strategies for bird and mammal species.
- Design and analysis of water & sediment quality monitoring projects.
- Comparisons of macroinvertebrate communities to regional reference conditions using the Canadian Biomonitoring Network Tools (CABIN)
- Before-After Control-Impact (BACI) Studies
- Multivariate statistical techniques, such as principal component analysis, canonical correspondence, step-wise regressions, and other approaches.
Statistical analysis techniques
IER uses general and advanced statistical methods ranging from concise graphical displays to complex analytical models. IER provides expertise in:
- Descriptive & general analyses
- Linear & non-linear models
- Mixed models and generalized linear models
- Multivariate analyses
- Survival analyses
- Randomization methods
- Mark-recapture methods
- Occupancy models
- Distance sampling
- Resource selection functions
- Telemetry & home range estimation