Data analysis implementation

MX$0.00

We analyze your dataset end-to-end and deliver a fully commented, reproducible R or Python script tailored to your project, including the visualizations you need — ready to integrate into your workflow.

We analyze your dataset end-to-end and deliver a fully commented, reproducible R or Python script tailored to your project, including the visualizations you need — ready to integrate into your workflow.

Our support covers:

  • Sample-size calculations, power analyses, rarefaction, and species-accumulation curves

  • Descriptive statistics and standard inferential methods (GLMs, GLMMs, ANOVAs)

  • Biodiversity metrics, including diversity indices and Hill numbers

  • Ecoacoustic and remote-sensing indicators for soundscape and habitat assessment

  • Population and community ecology tools such as occupancy models and other hierarchical approaches, distance sampling, species-distribution models, and capture–recapture analyses

  • Machine-learning workflows for supervised and unsupervised classification (e.g., decision trees, random forests, K-means, PCA)

  • Additional analysis types available on request