Localized, High-resolution Geographic Representations with Slepian Functions

ArXi:2602.00392v2 Announce Type: replace Geographic data is fundamentally local. Disease outbreaks cluster in population centers, ecological patterns emerge along coastlines, and economic activity concentrates within country borders. Machine learning models that encode geographic location, however, distribute representational capacity uniformly across the globe, struggling at the fine-grained resolutions that localized applications require.