Unsupervised spatial urban data representation learning
Urban environments are complex ecosystems comprising diverse spatial entities such as regions, road networks, and points-of-interest (POIs), which fundamentally shape our urban infrastructure and societal interactions. Understanding these spatial entities is crucial for various urban applications, f...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/179599 |