Kande Y., Dabo-Niang S., Diogoul N., Brehmer Patrice.   (2022).     Spatial functionnal analysis application on fisheries acoustics data coupled with fine scale environmental data [résumé de poster].        In :
                                                                                                                        Jech M. (ed.)..           Working group of fisheries acoustics, science and technology (WGFAST).           ICES Scientifics Reports,    4 (54),    p. 52.     ICES. Working Group of Fisheries Acoustics, Science and Technology (WGFAST), Somone (SEN), 2022/04/25-28. ISSN 2618-1371. 
                        
                                             
                
                                                        
                                        
                        
                            Titre du document
                        
                        Spatial functionnal analysis application on fisheries acoustics data coupled with fine scale environmental data [résumé de poster]
                     
                                        
                                                            
                        
                            Année de publication
                        
                        2022
                     
                                        
                                                            
                        
                            Type de document
                        
                        Colloque
                     
                                        
                                        
                        
                            Auteurs
                        
                        
                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                Kande Y., Dabo-Niang S., Diogoul N., Brehmer Patrice                        
                     
                    
                                                            
                        
                            In
                        
                        
                                                                                                                        Jech M. (ed.).,                                                                                                                                                                                                                                             Working group of fisheries acoustics, science and technology (WGFAST)                        
                     
                                        
                                        
                        
                            Source
                        
                        
                                                            ICES Scientifics Reports,                                                                                        2022, 
                                                                                        4 (54),                                                                                                                                                        p. 52                             ISSN 2618-1371 
                     
                    
                                                            
                        
                            Colloque
                        
                        ICES. Working Group of Fisheries Acoustics, Science and Technology (WGFAST), Somone (SEN), 2022/04/25-28
                                    
                     
                                        
                                                            
                                                            
                        In this work, we were interested in the application of functional, spatial data analysis (FSDA) on coupling acoustic (Sv) and environmental (water temperature, fluorescence, salinity and turbid-ity) data. To do this we use data from an acoustics fisheries surveys (R/V Thalassa, Ifremer, AWA campaign) carry out in West African waters using multifrequency echosounder (18, 38, 70, 120, 333 kHz) and a scanfish (high performance towed undulator). FSDA were compared to classical statistical methods namely multivariate functional principal component analysis, classical prin-cipal component analysis, classification on principal component scores, classical additive model, spatial functional additive model. The interest to improve such statistical analysis is applied here to the study the effect at fine scale of environmental parameters on the distribution of coastal sound scattered layers. We first considered an aggregated analysis of the environmental data then we considered a more complete analysis of the data via their functional characters.
                     
                                                                                                    
                        
                            Plan de classement
                        
                        
                                                            Limnologie physique / Océanographie physique [032]
                                                                     ; 
                                                                                            Ressources halieutiques [040]
                                                                                    
                     
                                        
                                                            
                                                            
                        
                            Localisation
                        
                        Fonds IRD [F B010089464]
                                                    
                     
                                        
                                                            
                        
                            Identifiant IRD
                        
                        
                            fdi:010089775