Model Evaluation for Geospatial Problems
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- 15_model_evaluation_for_geospatia
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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 guarantees and empirical success.
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 guarantees and empirical success.
| Original language | English |
|---|---|
| Publication status | Published - 30 Dec 2023 |
| Event | 2023 NeurIPS Workshop on Computational Sustainability: Pitfalls and Promises from Theory to Deployment - New Orleans Duration: 15 Dec 2023 → … |
Conference
| Conference | 2023 NeurIPS Workshop on Computational Sustainability: Pitfalls and Promises from Theory to Deployment |
|---|---|
| City | New Orleans |
| Period | 15/12/23 → … |