A Unified Model for Spatio-Temporal Prediction Queries with Arbitrary Modifiable Areal Units

arXiv:2403.07022v1 Announce Type: new
Abstract: Spatio-Temporal (ST) prediction is crucial for making informed decisions in urban location-based applications like ride-sharing. However, existing ST models often require region partition as a prerequisite, resulting in two main pitfalls. Firstly, location-based services necessitate ad-hoc regions for various purposes, requiring multiple ST models with varying scales and zones, which can be costly to support. Secondly, different ST models may produce conflicting outputs, resulting in confusing predictions. In this paper, we propose One4All-ST, a framework …

arxiv cs.ai cs.lg prediction queries temporal type unified model units