programming

Bayesian inference of bipartite networks structure

Inferring the structure of bipartite (e.g. pollination, frugivory, or herbivory) networks from field (observational) data is a challenging task. Interaction data are hard to collect and require typically large sampling efforts, particularly to characterize infrequent interactions.

biblioformat: Revise and Reformat Plain Text Bibliographies with R

Computational Ecology & Data Science

Computational ecology, ecoinformatics, reproducible workflows, programming and data science.

Reproducible science: what, why, how

Most scientific papers are not reproducible: it is really hard, if not impossible, to understand how results are derived from data, and being able to regenerate them in the future (even by the same researchers). However, traceability and …

Spatial data in R: using R as a GIS (new version)

Roughly one year ago, I posted here a tutorial on how to make basic GIS operations in R like importing, analysing, exporting and mapping spatial data, both raster and vectorial (i.