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More Than a List: What Outdoor Free Listings of Landscape Categories Reveal About Commonsense Geographic Concepts and Memory Search Strategies

机译:不仅仅是列表:关于常识地理概念和内存搜索策略的景观类别户外免费列表揭示了什么

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Categorization is central to abstraction from real world geographic phenomena to computational representations, and as such has been the subject of considerable research. We report on one common approach, free listing, in an outdoor setting and explore terms elicited in response to the question 'What is there for you in a landscape?'. We collected term lists, and explanations for the strategies used from 89 participants in two mountain and one parkland setting. We analyzed results not only using term frequency, but also by cognitive saliency, exploring list structures, and building aggregated networks visualizing links between terms. We observed memory search strategies, such as exploiting and switching semantic clusters in our data, with participants using for example not only the local setting to start clusters, but also memories of familiar landscapes to switch between clusters. Our results reveal that simple free listing experiments can help us understand how categories are linked, and also highlight ways in which landscapes are conceptualized.
机译:分类是从现实世界的地理现象到计算表示的抽象的核心,因此一直是大量研究的主题。我们报告了一种在室外环境中免费上市的常见方法,并探讨了针对“风景中有什么?”这一问题而引出的用语。我们收集了术语列表,并解释了来自两座山和一处绿地的89位参与者使用的策略。我们不仅使用术语频率来分析结果,还使用认知显着性来分析结果,探索列表结构,并建立聚合的网络以可视化术语之间的链接。我们观察到了内存搜索策略,例如在数据中利用和切换语义集群,参与者不仅使用本地设置来启动集群,而且还使用熟悉的风景的记忆在集群之间进行切换。我们的结果表明,简单的免费上市实验可以帮助我们理解类别之间的联系,并突出景观的概念化方式。

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