In this work, we are interested in the application of functional, spatial and classical statistical methods (multivariate functional principal component analysis, classical principal component analysis, classical, spatial and functional regression) on acoustic data (Sv) and environmental (temperature, fluorescence, salinity and turbidity) from the AWA campaign carried out on the West African coast. The goal of this project is to study the impact of environmental parameters on the distribution of the layers extracted from the Sv. First we considered the aggregated aspect of the environmental data in the analyzes then their functional nature to carry out a functional modeling.