ML4geo

Increasing literacy, use and reuse of geospatial machine learning models

Geospatial machine learning (ML) models are widely used in natural and engineering science (NES). These models and the methods to develop them rapidly evolve, making it challenging to keep up with them and reap their benefits. Besides this, many NES researchers do not have the required geospatial knowledge to develop, apply and (re)use these models because “spatial is special”, and they do not know how to document their creative process, making model (re)use unnecessarily hard. To address these issues, we propose developing training modules that increase geospatial ML literacy and geospatial ML models’ (re)usability.

WU is contributing to ML4GEO with teaching material and courses related to geo AI and model reuse.