Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales

• Published in: The Annals of Applied Statistics
• Main Authors: Yuan, Y., Bachl, F. E., Lindgren, F., Borchers, David Louis, Illian, J. B., Buckland, S. T., Rue, H., Gerrodette, T.
• Other Authors: EPSRC, University of St Andrews.School of Mathematics and Statistics, University of St Andrews.Statistics, University of St Andrews.Centre for Research into Ecological & Environmental Modelling, University of St Andrews.Marine Alliance for Science & Technology Scotland, University of St Andrews.Scottish Oceans Institute, University of St Andrews.St Andrews Sustainability Institute
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2018
• Subjects: Distance sampling; Spatio-temporal modeling; Stochastic partial differential equations; INLA; Spatial point process; GE Environmental Sciences; QA Mathematics; 3rd-NDAS; BDC; R2C; GE; QA; Pacific; Laplace; Blue whale
• Online Access: https://hdl.handle.net/10023/12427; https://doi.org/10.1214/17-AOAS1078

Distance sampling is a widely used method for estimating wildlife population abundance. The fact that conventional distance sampling methods are partly design-based constrains the spatial resolution at which animal density can be estimated using these methods. Estimates are usually obtained at surve...