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.
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2017
• Subjects: Distance sampling; Spatio-temporal modeling; Stochastic partial differential equations; INLA; Spatial point process; Laplace; Pacific; Blue whale
• Online Access: https://research-portal.st-andrews.ac.uk/en/publications/1a0e48e7-3ebd-4166-ab57-1980c2e0f9a4; https://doi.org/10.1214/17-AOAS1078; https://research-repository.st-andrews.ac.uk/bitstream/10023/12427/1/Yuan_2017_Point_process_AnnApplStat_2270.pdf

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...