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Workshop: Computational Sustainability: Promises and Pitfalls from Theory to Deployment

Model Evaluation for Geospatial Problems

Jing Wang · Tyler Hallman · Laurel Hopkins · John Kilbride · W. Douglas Robinson · Rebecca Hutchinson


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 cross-validation, 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 and empirical guarantees.

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