Addressing spatial confounding in geostatistical regression models: An R‐INLA approach

Abstract Spatial confounding, which has been studied extensively in recent years, can explain inconsistencies between results obtained by regression models with and without spatial modelling. While the most common solutions for spatial confounding mitigation often target areal data or geostatistical...

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Bibliographic Details

Published in:	Methods in Ecology and Evolution
Main Authors:	Jérémy Lamouroux, Alizée Geffroy, Sébastien Leblond, Caroline Meyer, Isabelle Albert
Format:	Article
Language:	English
Published:	Wiley 2025-09-01
Subjects:	cadmium environmental pollution GMRF gSEM inlabru restricted spatial regression
Online Access:	https://doi.org/10.1111/2041-210X.70106