Inferring fine scale wild species distribution from spatially aggregated data - Archive ouverte HAL Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2023

Inferring fine scale wild species distribution from spatially aggregated data

Résumé

In spatial ecology, huge amount of aggregated and non-aggregated spatial data offer possibilities to map wild species distribution. However, this requires to properly handle the difference in spatial resolution between the different data sources. Such issue is often referred as the change of support (COS) problem. In this paper, we develop a hierarchical approach that allows (1) to handle COS for a mixture of zero-inflated positive continuous data and (2) to combine fine scale data and aggregated data. We assess the framework through simulations and apply it on real data for the common sole of the Bay of Biscay.
Fichier principal
Vignette du fichier
JRSSC-Jan-2023-0009_Proof_hi.pdf (2.46 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03878990 , version 1 (30-11-2022)
hal-03878990 , version 2 (09-01-2023)

Identifiants

  • HAL Id : hal-03878990 , version 2

Citer

Baptiste Alglave, Kasper Kristensen, Etienne Rivot, Mathieu Woillez, Youen Vermard, et al.. Inferring fine scale wild species distribution from spatially aggregated data. 2023. ⟨hal-03878990v2⟩
95 Consultations
131 Téléchargements

Partager

Gmail Facebook X LinkedIn More