A full-view scenario model for urban waterlogging response in a big data environment
The emergence of big data is breaking the spatial and time limitations of urban waterlogging scenario description. The scenario data of different dimensions (e.g., administrative levels, sectors, granularities, and time) have become highly integrated. Accordingly, a structural and systematic model i...
Guardado en:
Autores principales: | Liu Zhao-ge, Li Xiang-yang, Zhu Xiao-han |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
De Gruyter
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/275e57ed114d403097ad913ae69038ea |
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