PRISM project’s update: making spatial machine learning more reliable, plus related activities
Read OriginalThis article details progress from April 2025 to February 2026 on the PRISM project, which focuses on making spatial machine learning more reliable. It covers work on a collaborative perspective paper, analysis of spatial autocorrelation in prediction errors using Moran's I, and discussions on robust spatial cross-validation. The author also mentions related presentations and outputs from this research period.
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