🌍 New paper on key challenges in spatial machine learning!
We discuss six major topics shaping the field: model validation, performance metrics, uncertainty quantification, algorithmic diversity, software implementation, and modeling protocols. The paper highlights persistent challenges around robust evaluation and reproducibility in geospatial ML workflows.







