no code implementations • 15 Apr 2024 • Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Peter Kedron
We then discuss the factors that may cause the lack of R&R in GeoAI research, with an emphasis on (1) the selection and use of training data; (2) the uncertainty that resides in the GeoAI model design, training, deployment, and inference processes; and more importantly (3) the inherent spatial heterogeneity of geospatial data and processes.
