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arXiv 1902.09155cs.DB
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CityJSON:CityGML数据模型的紧凑且易于使用的编码

CityJSON: a compact and easy-to-use encoding of the CityGML data model

Hugo Ledoux, Ken Arroyo Ohori, Kavisha Kumar, Balázs Dukai, Anna Labetski, Stelios Vitalis

摘要:

国际标准CityGML既是一种数据模型,也是一种存储城市数字3D模型的交换格式。虽然数据模型是由几个城市,公司和政府使用,在本文中,我们认为,其基于XML的交换格式有几个缺点。这些缺点意味着开发人员很难实现CityGML的解析器,因此,如果他们想与其他人交换数据,从业者必须将数据转换为其他格式。我们提出了CityJSON,一种新的基于JSON的交换格式,用于CityGML数据模型(版本2.0.0)。CityJSON是为程序员设计的,因此可以快速构建支持它的软件和API。它还被设计为紧凑型(真实世界数据集的压缩因子约为6),并且对Web和移动开发友好。我们认为,它比CityGML格式更容易使用,无论是读取还是创建数据集。在本文中,我们讨论了CityJSON的主要功能,简要介绍了不同的软件包来解析/查看/编辑/创建文件(包括一个自动转换的JSON和GML编码),分析如何比较现实世界的数据集与CityGML,我们还介绍了\emph{Extensions},它允许我们扩展核心数据模型在一个文档化的方式。

英文摘要:

The international standard CityGML is both a data model and an exchange format to store digital 3D models of cities. While the data model is used by several cities, companies, and governments, in this paper we argue that its XML-based exchange format has several drawbacks. These drawbacks mean that it is difficult for developers to implement parsers for CityGML, and that practitioners have, as a consequence, to convert their data to other formats if they want to exchange them with others. We present CityJSON, a new JSON-based exchange format for the CityGML data model (version 2.0.0). CityJSON was designed with programmers in mind, so that software and APIs supporting it can be quickly built. It was also designed to be compact (a compression factor of around six with real-world datasets), and to be friendly for web and mobile development. We argue that it is considerably easier to use than the CityGML format, both for reading and for creating datasets. We discuss in this paper the main features of CityJSON, briefly present the different software packages to parse/view/edit/create files (including one to automatically convert between the JSON and GML encodings), analyse how real-world datasets compare to those of CityGML, and we also introduce \emph{Extensions}, which allow us to extend the core data model in a documented manner.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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