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如何在集成的空间表示中分离坐标和类别空间关系成分:分析草图地图的新方法。

How to separate coordinate and categorical spatial relation components in integrated spatial representations: A new methodology for analysing sketch maps.

机构信息

Department of Educational Sciences, Psychology, Communication, University of Study Bari, Bari, Italy.

Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands.

出版信息

Scand J Psychol. 2020 Oct;61(5):607-615. doi: 10.1111/sjop.12633. Epub 2020 Apr 15.

DOI:10.1111/sjop.12633
PMID:32293035
Abstract

Spatial relations between landmarks can be represented by means of categories and coordinates. In the present research, this paradigm was applied to sketch maps based on information acquired in goal-directed behaviour of exploration of a university campus area. The first aim was to investigate whether categorical and coordinate information can be considered conceptually independent in sketch maps. The second aim was to assess which kind of distance measure served better to represent coordinate information in the present case study, and finally to assess the factorial structure of coordinate and categorical data. Analytic methodology as well as statistical analysis were found to confirm that separating coordinate and categorical components was formally as well as empirically appropriate. A series of confirmatory factor analyses showed the best fit for the model with two correlated components, as well as an acceptable reliability of measures emerged. The two components were moderately correlated. Moreover, the adoption of Manhattan distance seemed to be the most effective method to represent coordinate spatial relations in spatial sketch maps of areas acquired through navigation.

摘要

地标之间的空间关系可以通过类别和坐标来表示。在本研究中,该范式被应用于基于在大学园区目标导向探索行为中获取的信息的草图地图。第一个目的是研究在草图地图中是否可以认为类别和坐标信息在概念上是独立的。第二个目的是评估在这种情况下研究中哪种距离度量更适合表示坐标信息,最后评估坐标和类别数据的因子结构。分析方法和统计分析都证实,将坐标和类别成分分开在形式上和经验上都是合适的。一系列验证性因素分析表明,具有两个相关成分的模型拟合度最好,并且出现了可接受的度量可靠性。两个成分中度相关。此外,采用曼哈顿距离似乎是表示通过导航获得的区域的空间草图地图中坐标空间关系的最有效方法。

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