Williamson, Laura DawnScott, BethLaxton, Megan R.Illian, Janine B.Todd, Victoria L.G.Miller, Peter I.Kate L., Brookes2022-05-272022-05-272022-08-01Williamson, L D, Scott, B, Laxton, M R, Illian, J B, Todd, V L G, Miller, P I & Kate L., B 2022, 'Comparing distribution of harbour porpoise using Generalized Additive Models and hierarchical Bayesian models with Integrated Nested Laplace Approximation', Ecological Modelling, vol. 470, 110011. https://doi.org/10.1016/j.ecolmodel.2022.1100110304-3800ORCID: /0000-0001-5412-3952/work/162251662https://hdl.handle.net/2164/18646Acknowledgments We thank colleagues at the University of Aberdeen, Moray First Marine, NERI, Hi-Def Aerial Surveying Ltd and Ravenair for essential support in the field, particularly Tim Barton, Bill Ruck, Rasmus Nielson and Dave Rutter. L.D.W. was supported by the Marine Alliance for Science and Technology for Scotland (MASTS), the University of Aberdeen and Marine Scotland Science. Collaboration between the University of Aberdeen and Marine Scotland was supported by the Marine Collaboration Research Forum (MarCRF). Digital aerial surveys in 2010 were funded by Moray Offshore Renewables Ltd and 2014 by Marine Scotland. Additional funding for analysis of the combined datasets was provided by Marine Scotland. Collaboration between the University of Aberdeen and Marine Scotland was supported by MarCRF.91578522engBayesian modelGeneralized additive model (GAM)Integrated nested laplace approximation (INLA)Harbour porpoiseSpecies distribution modelQH301 BiologySupplementary DataQH301Journal article10.1016/j.ecolmodel.2022.110011470