Scalable inference of spatial regions and temporal signatures from time series

ArXi:2605.05008v1 Announce Type: cross Regionalization aims to partition a spatial domain into contiguous regions that share similar characteristics, enabling effective spatial analysis, policy making, and resource management. Existing approaches for spatial regionalization typically rely on static spatial snapshots rather than evolving time series. Meanwhile, most time series clustering methods ignore spatial structure or enforce spatial continuity through ad hoc regularization, cons