spatial prediction

Active-transfer learning for natural hazard assessment
Machine-learning methods for natural hazards assessment are data hungry — in her PhD, Zhihao Wang developed an active–transfer learning strategy that combines transferred prior knowledge with optimal local data acquisition…
Last updated on 3 Apr 2024 6 min read machine learning, natural hazards
Spatial machine-learning model diagnostics
How do the predictions of machine-learning and geostatistical models deteriorate with increasing distance to the training locations? Are different predictors instrumental in making predictions at greater versus shorter distances? A novel set of diagnostic tools allows us to answer these questions…
Last updated on 20 Sep 2023 5 min read machine learning, geostatistics
Spatial machine-learning model diagnostics