Coarse-to-fine spatial modeling: A scalable, machine-learning-compatible spatial model

Daisuke Murakami, Alexis Comber, Takahiro Yoshida +3

This study proposes coarse-to-fine spatial modeling (CFSM) as a scalable and machine learning-compatible alternative to conventional spatial process models. Unlike conventional cov…