刘昭阁、Li, Xiang-yang、Zhu, Xiao-han:A full-view scenario model for urban waterlogging response in a big data environment
作者简介:刘昭阁,厦门大学公共事务学院助理教授文章来源:《OPEN GEOSCIENCES》 2021年第11期【摘要】The emergence of big data is breaking the spa-tial 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 ...
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