Geostatistical Learning (GL) is an emerging field within geostatistics that integrates statistical (machine) learning with geospatial data (Hoffimann et al. 2021). Despite its recent introduction, GL ...

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Hybrid workflow with two main steps: (a) creating a dataset of training images using GANs; (b) building geostatistical models using the synthetic TI and the existing conditional data.