Figure 9
From: Sea level variability and modeling in the Gulf of Guinea using supervised machine learning
The study area map, featuring countries, principal currents, and bathymetry in the Gulf of Guinea. The bathymetry data is based on a global 15-arc-second interval grid obtained from GEBCO (https://www.gebco.net) with a minimum depth of 10 m. The map was generated using a Python (3.10.9) software. The Python script incorporated geographical data and employed libraries such as Matplotlib and Geopandas to create the map.
