Spatial Modelling of Black Scabbardfish Fishery Off the Portuguese Coast-Reference-Cited by-同舟云学术

Spatial Modelling of Black Scabbardfish Fishery Off the Portuguese Coast

Published:2020 Issue: Volume: Page:332-344
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2020
language:
Short-container-title:

Author:

André Lídia Maria^ORCID,Figueiredo Ivone^ORCID,Carvalho M. Lucília^ORCID,Simões Paula^ORCID,Natário Isabel^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58799-4_25

Reference20 articles.

1. Blangiardo, M., Cameletti, M.: Spatial and Spatio-Temporal Bayesian Models with R-INLA. Wiley, Chichester (2015). https://doi.org/10.1002/9781118950203

2. Bordalo-Machado, P., Figueiredo, I.: The fishery for black scabbardfish (aphanopus carbo lowe, 1839) in the Portuguese continental slope. Rev. Fish Biol. Fisheries 19(1), 49–67 (2009). https://doi.org/10.1007/s11160-008-9089-7

3. Committee, R.M.: Report of the international bottom trawl survey working group. Technical report. D:05, International Council for the Exploitation of the Sea (ICES), Lorient, France, March 2003

4. Diggle, P.J., Ribeiro Jr., P.J.: Model-Based Geostatistics. Springer Series in Statistics, Springer, New York (2007). https://doi.org/10.1007/978-0-387-48536-2

5. Faraway, J.: Inla for mixed models. https://people.bath.ac.uk/jjf23/inla/

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Black Scabbardfish Species Distribution: Geostatistical Inference Under Preferential Sampling;Computational Science and Its Applications – ICCSA 2023 Workshops;2023

2. Intensity-Dependent Point Processes;Springer Proceedings in Mathematics & Statistics;2022

3. Geostatistical Sampling Designs Under Preferential Sampling for Black Scabbardfish;Springer Proceedings in Mathematics & Statistics;2022