Our statistical consulting covers the full range of analytical approaches needed for biodiversity and ecological monitoring. This includes descriptive statistics, general inferential methods (GLMs, GLMMs, ANOVAs), classic biodiversity analyses such as diversity indices, rarefaction, species-accumulation curves, and Hill numbers, as well as ecoacoustic and remote-sensing metrics for soundscape and habitat assessment.
For population and community ecology, we provide expertise in hierarchical modeling approaches such as occupancy modeling, as well as distance sampling, species-distribution models, and capture–recapture approaches. We also offer advice on machine-learning solutions for supervised and unsupervised classification, including neural-network models for automated species detection.