Sub-model aggregation for scalable eigenvector spatial filtering: Application to spatially varying coefficient modeling

Daisuke Murakami, Shonosuke Sugasawa, Hajime Seya +1

This study proposes a method for aggregating/synthesizing global and local sub-models for fast and flexible spatial regression modeling. Eigenvector spatial filtering (ESF) was use…