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Creators/Authors contains: "Hopkins, Laurel M"

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  1. ; ; ; ; ; (, CompSust-2023 2023 NeurIPS Workshop on Computational Sustainability: Pitfalls and Promises from Theory to Deployment)
    Geospatial problems often involve spatial autocorrelation and covariate shift, which violate the independent, identically distributed assumption underlying standard cross-validation. In this work, we establish a theoretical criterion for unbiased crossvalidation, introduce a preliminary categorization framework to guide practitioners in choosing suitable cross-validation strategies for geospatial problems, reconcile conflicting recommendations on best practices, and develop a novel, straightforward method with both theoretical guarantees and empirical success. 
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    Accepted Manuscript Full Text Available
  2. ; ; ; ; (, Landscape Ecology)
    Full Text Available