Spatially Varying Coefficient Regression with GAM Gaussian Process splines: GAM(e)-on
Alexis Comber
                                            School of Geography, University of Leeds, Leeds, UK
                                        
                                    
                                            Leeds Institute for Data Analytics, University of Leeds, UK
                                        
                                    Paul Harris
                                            Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, UK
                                        
                                    Chris Brunsdon
                                            National Centre for Geocomputation, Maynooth University, Ireland
                                        
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                                    Short summary
                                    Short summary
                                            
                                                Marine aquaculture areas in a region up to 30 km from the coast in China were mapped for the first time. It was found to cover a total area of ~1100 km2, of which more than 85 % is marine plant culture areas, with 87 % found in four coastal provinces. The results confirm the applicability and effectiveness of deep learning when applied to GF-1 data at the national scale, identifying the detailed spatial distributions and supporting the sustainable management of coastal resources in China.
                                            
                                            
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                            Yongyong Fu, Jinsong Deng, Hongquan Wang, Alexis Comber, Wu Yang, Wenqiang Wu, Shixue You, Yi Lin, and Ke Wang
                                    Earth Syst. Sci. Data, 13, 1829–1842, https://doi.org/10.5194/essd-13-1829-2021, https://doi.org/10.5194/essd-13-1829-2021, 2021
                                    Short summary
                                    Short summary
                                            
                                                Marine aquaculture areas in a region up to 30 km from the coast in China were mapped for the first time. It was found to cover a total area of ~1100 km2, of which more than 85 % is marine plant culture areas, with 87 % found in four coastal provinces. The results confirm the applicability and effectiveness of deep learning when applied to GF-1 data at the national scale, identifying the detailed spatial distributions and supporting the sustainable management of coastal resources in China.
                                            
                                            
                                         
                        
                                         
             
             
            