基于问题的空间计算方法的复制-进一步发展的经验和建议

Q3 Social Sciences GI_Forum Pub Date : 2019-01-01 DOI:10.1553/giscience2019_01_s40
S. Studer, B. Hofer
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引用次数: 0

摘要

地理信息系统(GIS)已经发展成为复杂的工具箱,需要分析人员根据其GIS应用程序提供的数据格式和工具的要求来制定空间问题。最近提出的空间计算语言旨在为空间分析提供一种基于问题的更容易理解的方法,特别是支持其他学科的科学家和专家在他们的领域进行空间分析。在本文中,我们将基于问题的空间计算方法应用于人道主义领域的案例研究,并将结果脚本与使用传统GIS工具编写的脚本进行比较。比较两个版本的分析是基于六个标准,这些标准涵盖了分析的定性和定量方面以及新语言背后的实施概念。我们的结果表明,新方法比传统脚本需要更少的计算步骤。此外,声明性方法让用户专注于空间问题的内容,而语言的类似查询的特性实际上使其更易于理解。除了空间计算语言的这些好处之外,本研究还分享了对该语言进一步发展的挑战的观察。
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Replication of the Question-Based Spatial Computing Approach – Experiences and Suggestions for Further Developments
Geographic Information Systems (GIS) have developed into complex toolboxes and require analysts to formulate spatial questions according to the requirements of data formats and tools provided by their GIS-application. The recently proposed language for spatial computing aims to provide a question-based and thus more comprehensible approach for spatial analyses that especially supports scientists and experts from other disciplines to conduct spatial analyses in their fields. In this contribution, we apply the question-based spatial computing approach to a case study in the humanitarian field and compare the resulting script to a script written with a conventional GIS tool. The comparison of the two versions of the analysis is based on six criteria covering qualitative and quantitative aspects of the analysis as well as the implementation concept behind the new language. Our results show, that the new approach requires fewer computational steps than the conventional script. In addition, the declarative approach lets users focus on the content of the spatial question and the query-like character of the language makes it in fact more comprehensible. Besides these benefits of the language for spatial computing, observations on challenges of the further development of the language are shared as an outcome of this study.
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来源期刊
GI_Forum
GI_Forum Earth and Planetary Sciences-Computers in Earth Sciences
CiteScore
1.10
自引率
0.00%
发文量
9
审稿时长
23 weeks
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