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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Bibliografski detalji

Glavni autori:	Jérémy Lamouroux, Alizée Geffroy, Sébastien Leblond, Caroline Meyer, Isabelle Albert
Format:	Artigo
Jezik:	Inglês
Izdano:	Wiley 2025-09-01
Serija:	Methods in Ecology and Evolution
Teme:	cadmium environmental pollution GMRF gSEM inlabru restricted spatial regression
Online pristup:	https://doi.org/10.1111/2041-210X.70106
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