PlacePulse: Learning Transferable Place Representations from Structural Geographic Data
Geospatial machine learning often depends on task-specific feature engineering over large collections of sociodemographic, business, and environmental variables. Geospatial foundation models offer reusable representations of place, but leading approaches typically encode dynamic signals, such as mobility and search act...
Lucía García-Duarte, M. Álvarez, D. Vicente et al.
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