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pro vyhledávání: '"Fang, Jiangyi"'
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, lo
Externí odkaz:
http://arxiv.org/abs/2403.07022
Spatiotemporal crowd flow prediction is one of the key technologies in smart cities. Currently, there are two major pain points that plague related research and practitioners. Firstly, crowd flow is related to multiple domain knowledge factors; howev
Externí odkaz:
http://arxiv.org/abs/2306.04144
MAUP (modifiable areal unit problem) is a fundamental problem for spatial data management and analysis. As an instantiation of MAUP in online transportation platforms, region generation (i.e., specifying the areal unit for service operations) is the
Externí odkaz:
http://arxiv.org/abs/2306.02806