Geostatistical Sampling Designs Under Preferential Sampling for Black Scabbardfish

Paula Simões, Maria Lucília Carvalho, Ivone Figueiredo, Andreia Monteiro, Isabel Natário

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In Portugal, the spatial distribution and abundance of the black scabbardfish (BSF) is mostly unknown, the existing information relying on data from commercial fisheries. Available data refers to areas where fisherman expect to have higher catches of the species, resulting in fishing locations that are not selected randomly but preferentially. The BSF captures in Portuguese waters were previously modelled, taking the sampling preferentiality into account, using a Bayesian approach and INLA methodology, considering stochastic partial differential equations (SPDE) for geostatistical data, jointly with a Log-Cox point process model. Based on this work, the aim of this study is to construct a new survey design to improve the BSF capture estimates and to analyse the effect of preferential sampling on the choice of new sampling locations and its influence in the sampling design choice. Within this approach, different design classes are investigated, namely random, simple inhibitory and adaptive geostatistical sampling designs, regarding the problem of spatial prediction, in order to achieve the optimal BSF design towards the objective of the analysis.

Original languageEnglish
Title of host publicationRecent Developments in Statistics and Data Science
Subtitle of host publicationSPE2021
EditorsRegina Bispo, Lígia Henriques-Rodrigues, Russell Alpizar-Jara, Miguel de Carvalho
Place of PublicationCham
PublisherSpringer
Pages137-151
Number of pages15
ISBN (Electronic)978-3-031-12766-3
ISBN (Print)978-3-031-12765-6
DOIs
Publication statusPublished - 29 Nov 2022
Event25th Congress of the Portuguese Statistical Society, SPE 2021 - Virtual, Online
Duration: 13 Oct 202116 Oct 2021

Publication series

NameSpringer Proceedings in Mathematics and Statistics
PublisherSpringer
Volume398
ISSN (Print)2194-1009
ISSN (Electronic)2194-1017

Conference

Conference25th Congress of the Portuguese Statistical Society, SPE 2021
CityVirtual, Online
Period13/10/2116/10/21

Keywords

  • Geostatistics
  • INLA
  • Preferential sampling
  • Sampling design

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