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Found 2 papers, 1 papers with code
A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units
Spatio-Temporal (ST) prediction is crucial for making informed decisions in urban location-based applications like ride-sharing.
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management
In this paper, we propose RegionGen, a data-driven region generation framework that can specify regions with key characteristics (e. g., good spatial semantic meaning and predictability) by modeling region generation as a multi-objective optimization problem.
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