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首页> 外文期刊>LIPIcs : Leibniz International Proceedings in Informatics >Defining Local Experts: Geographical Expertise as a Basis for Geographic Information Quality
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Defining Local Experts: Geographical Expertise as a Basis for Geographic Information Quality

机译:定义本地专家:地理专业知识是地理信息质量的基础

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摘要

As more data are produced by location sensors, mobile devices, and online participatory processes, the field of GIScience has grappled with issues of information quality, context, and appropriate analytical approaches for data with heterogeneous and/or unknown provenance. Data quality has often been viewed through a bifurcated lens of experts and amateurs, but consideration of what the nature of geographical expertise is reveals a much more more nuanced situation. We consider how adapting frameworks from the field of studies of experience and expertise may provide a conceptual basis and methodological framework for evaluating the quality of geographic information. For contributed geographic information, quality is typically derived from a data user's trust in and/or perception of the reputation of the data producer. Trust and reputation of producers of geographic information has typically been derived from the presence or absence of professional qualifications and training. However this framework applies exclusively to 'crisp' notions of data quality, and has limited utility for more subjective contributions associated with volunteered geographic information which may provide a rich source of geographic information for many applications. We hypothesize that a conceptual framework for geographical expertise may be used as the basis for assessing information quality in both formal and informal sources of geospatial data. Two case studies are used to highlight the new concepts of geographical expertise introduced in the paper.
机译:随着位置传感器,移动设备和在线参与过程产生的数据越来越多,GIS科学领域已在解决信息质量,上下文以及针对来源不同和/或来源未知的数据的适当分析方法等问题。人们通常通过专家和业余爱好者的分歧来看待数据质量,但是考虑地理专业知识的本质揭示了更为细微的情况。我们考虑从经验和专业研究的领域来适应框架如何为评估地理信息的质量提供概念基础和方法框架。对于贡献的地理信息,质量通常来自数据用户对数据生产者信誉的信任和/或感知。地理信息生产者的信任和声誉通常来自是否存在专业资格和培训。但是,此框架仅适用于数据质量的“清晰”概念,并且对于与自愿性地理信息相关联的更主观的贡献用途有限,而自愿性地理信息可能为许多应用程序提供丰富的地理信息源。我们假设地理专业知识的概念框架可以用作评估正式和非正式地理空间数据源中信息质量的基础。本文通过两个案例研究来突出介绍地理专业知识的新概念。

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