Python app to build jellyfishes risk forecastings.
It works calibrating an ensemble of models using historical data and then using this model to predict the presence of jellyfishes in future dates.
The climatological and biological data, both historical and predictions, is downloaded from MyOcean. The historical jellyfish presence data is provided by the Maritimal Sciences Institute (ICM).
Data processing and modelling is performed using R and the package biomod2. The rest of the system is written in Python.