Generalization of the code used to write the paper A Novel Path-finding Approach for Maritime Search and Rescue Missions Incorporating Dynamic Probability of a target Location
This repository is not intended to be a plug-and-play solution to implement that algorithm. It only serves as a more concrete look into how the implementation might work. That said, a very generic example is included in asar_opendrift.py with the required OpenDrift files located in the /data. Furthermore, this repository contains no information as how to generate these files. However, if you are interested in further details, don't hesitate to contact any of the papers authors.
pip install numpy networkx tqdm seaborn