Résumé
Geolocalisation and trajectory analysis can aid in understanding the ecological processes driving an organism. By associating satellite-derived environmental data with individual trajectories of electronically-tagged organisms, it could be possible to define environmental characteristics of the tagged species' functional habitats (i.e., reproduction, nutrition). These data can also help identify biotic envelopes or predict the effects of climate change on marine species distributions. The objective of the present work, undertaken as a collaboration between IFREMER and IRD, is to standardize electronic tag data files into network common data format (NetCDF) format, following the standards defined within the POPSTAR project for tag data (doi http://dx.doi.org/10.13155/34980), and enrich the positional data with satellite-derived surface environment data (e.g., sea surface temperature, salinity, sea level) and model-derived environment data at observed depths (e.g., temperature, salinity, currents). We accounted for positional uncertainty using 95%, 75%, and 50% uncertainty polygons around the estimated positions of individuals. We summarised environmental conditions within these uncertainty polygons using the mean, minimum, maximum, quantiles, and standard deviation of the selected enrichment parameter. We generated generic codes to enable the automatic enrichment of position data from points and polygons. Furthermore, we developed algorithms to convert the enriched data into NetCDF format for subsequent visualisation and analysis.