ANFAIA/En-Peu

AI Summary: The task involves enhancing an existing flood prediction model by incorporating information about water flow direction and gradient. This will likely require adding new features to the dataset, such as flow direction derived from elevation data or incorporating information on river channels. The goal is to improve the accuracy and realism of the flood depth predictions.

AI Summary: The task is to research methods for handling spatial correlation in a flood prediction project. This involves exploring ways to incorporate spatial information into the existing machine learning models (Random Forest, GBM, SVM) used to predict water sheet depth. Methods to investigate include adding spatial variables (coordinates, distances) and using spatially structured machine learning models (e.g., spatial k-fold cross-validation).