Data-driven approaches for spatio-temporal analysis: a survey of the state-of-the-arts
With the advancement of telecommunications, sensor networks, crowd sourcing, and remote sensing technology in present days, there has been a tremendous growth in the volume of data having both spatial and temporal references. This huge volume of available spatio-temporal (ST) data along with the rec...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
2022
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/161147 |
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Institution: | Nanyang Technological University |
Language: | English |