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

DOI10.1214/17-AOAS1078zbMath1383.62300arXiv1604.06013MaRDI QIDQ1697398

Janine B. Illian, Tim Gerrodette, David L. Borchers, Håvard Rue, Fabian E. Bachl, Yuan Yuan, Finn Lindgren, Stephen T. Buckland

Publication date: 19 February 2018

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1604.06013

zbMATH Keywords

stochastic partial differential equationsdistance samplingspatial point processINLAspatio-temporal modeling

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Sampling theory, sample surveys (62D05) Stochastic partial differential equations (aspects of stochastic analysis) (60H15) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55)

Related Items (10)

Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology ⋮ A roughness penalty approach to estimate densities over two-dimensional manifolds ⋮ Joint posterior inference for latent Gaussian models with R-INLA ⋮ Estimating survival in continuous space from mark-dead-recovery data -- towards a continuous version of the multinomial dead recovery model ⋮ The integrated nested Laplace approximation applied to spatial log-Gaussian Cox process models ⋮ Estimating animal utilization distributions from multiple data types: a joint spatiotemporal point process framework ⋮ Modelling the sound production of narwhals using a point process framework with memory effects ⋮ Understanding the stochastic partial differential equation approach to smoothing ⋮ Variance propagation for density surface models ⋮ Incorporating Animal Movement Into Distance Sampling

This page was built for publication: Point process models for spatio-temporal distance sampling data from a large-scale survey of blue whales