A few years ago I became fascinated with cloud-friendly data formats that allow us to query large online databases without having to download the entire thing. Here is a post from 2021 on accessing spatial data from online cloud-optimised geotiffs using R, terra and gdal.
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.
Ecological interactions are a key component of biodiversity, essential for understanding ecosystem services and functioning. Recording and quantifying ecological interactions is challenging, frequently requiring complex logistics and substantial …
La sombra es un recurso escaso y muy necesario en la mayoría de ciudades y municipios. Este año -el más calido registrado hasta ahora- se estiman casi 5.000 muertes asociadas al calor en España.
I have just come back from a wonderful meeting of the Spanish Terrestrial Ecology Association ( AEET) where I received a prize for contributing towards a more open and reproducible science.
Quite often we want to extract climatic or environmental data from large global raster files. The traditional workflow requires downloading the rasters (quite often many GB) and then performing data extraction in your local computer.