Nearly Orthogonal Processes to Overcome Spatial Confounding

  • Tackle spatial confounding between covariates and spatial random effects in regression models for point-referenced data.

  • Propose nearly orthogonal processes to alleviate spatial confounding and overcome known issues of restricted spatial regression models.

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