Cargando…
Social Media Meets Big Urban Data: A Case Study of Urban Waterlogging Analysis
With the design and development of smart cities, opportunities as well as challenges arise at the moment. For this purpose, lots of data need to be obtained. Nevertheless, circumstances vary in different cities due to the variant infrastructures and populations, which leads to the data sparsity. In...
Autores principales: | Zhang, Ningyu, Chen, Huajun, Chen, Jiaoyan, Chen, Xi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5059775/ https://www.ncbi.nlm.nih.gov/pubmed/27774098 http://dx.doi.org/10.1155/2016/3264587 |
Ejemplares similares
-
ELM Meets Urban Big Data Analysis: Case Studies
por: Zhang, Ningyu, et al.
Publicado: (2016) -
Semantic Framework of Internet of Things for Smart Cities: Case Studies
por: Zhang, Ningyu, et al.
Publicado: (2016) -
Multi-Source Data Fusion and Hydrodynamics for Urban Waterlogging Risk Identification
por: Zhang, Zongjia, et al.
Publicado: (2023) -
The spatial non-stationary effect of urban landscape pattern on urban waterlogging: a case study of Shenzhen City
por: Wu, Jiansheng, et al.
Publicado: (2020) -
Scenario Simulation-Based Assessment of Trip Difficulty for Urban Residents under Rainstorm Waterlogging
por: Chen, Peng, et al.
Publicado: (2012)