Applied statistics & data analysis consulting (1h)

MX$0.00

We help you understand the full potential of your existing datasets. Whether you want to evaluate project outcomes, explore ecological patterns, or answer specific research questions, we guide you in choosing the right statistical methods and models. Our support includes clarifying what is possible with your data, identifying limitations, and outlining clear next steps for robust, defensible analysis.

We help you understand the full potential of your existing datasets. Whether you want to evaluate project outcomes, explore ecological patterns, or answer specific research questions, we guide you in choosing the right statistical methods and models. Our support includes clarifying what is possible with your data, identifying limitations, and outlining clear next steps for robust, defensible analysis.

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.