Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Disclaimer: All materials provided here may be used freely for non-commercial purposes. We offer no guarantee for them and take no responsibility for their use. If our tutorials, codes, and software help you carry out any academic work (monograph, dissertation, thesis, paper, book chapter, book, talk, poster etc.), please mention the authors and our lab website in the acknowledgments.

Content: On this page we publish tutorials, codes, and software produced in our lab. Most are written in English, but some are written in Portuguese or other languages. This material is intended to help people take their first steps in the analysis of ecological data. Nevertheless, if you want to go pro, use our tutorials as a starting point to study the primary sources (books, papers, and manuals).

Services: You may also hire our services to get your data organized and analyzed. We perform mainly data tidying and statistical analysis. Contact us, if you want further info.


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Click on the cover to access the book.

Scripts, functions, packages, and software

Visit our GitHub accounts and see the codes we develop in R and other languages. You will find, for instance, codes to help you draw monolayer and multilayer networks, format matrices to be analyzed in different network software, estimate the significance of network metrics, and compare pairs of networks, among many others. In our GitHub accounts, we deposit also supplementary information of our papers.

  1. Marco Mello
  2. Renata Muylaert
  3. Guillermo Flórez
  4. Alexandre Palaoro (collaborator of our blog)
  5. Rafael Pinheiro (former student)
  6. Gabriel Felix (former student)