Supporting Data Analytics for Smart Cities: An Overview of Data Models and Topology

Supporting Data Analytics for Smart Cities: An Overview of Data Models and Topology
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支持智慧城市的数据分析:数据模型和拓扑概述

DOI:
10.1007/978-3-319-17091-6_35
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发表时间:
2015
影响因子:
9.1
通讯作者:
P. Bradley
P. Bradley
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
P. Bradley

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概述了适用于智慧城市的数据模型。CityGML和\(G\)-map隐式地对底层的组合结构进行建模,而拓扑数据库使这种结构显式化。这种组合结构是拓扑查询的基础,并且这种数据模型的拓扑一致性允许对拓扑查询的正确答案。给出了二维拓扑一致性的精确定义,并讨论了其在数据模型中的应用。
An overview of data models suitable for smart cities is given. CityGML and \(G\)-maps implicitly model the underlying combinatorial structure, whereas topological databases make this structure explicit. This combinatorial structure is the basis for topological queries, and topological consistency of such data models allows for correct answers to topological queries. A precise definition of topological consistency in the two-dimensional case is given and an application to data models is discussed.
G-map 与其他拓扑数据结构的比较
DOI: 10.1007/s10707-013-0191-1
发表时间: 2014
期刊: GeoInformatica
影响因子: 2
作者:
Bradley
通讯作者: Bradley