计算机科学
能见度
领域(数学)
集合(抽象数据类型)
空格(标点符号)
相关性(法律)
关系(数据库)
感知
空间关系
人工智能
范围(计算机科学)
空间认知
数据科学
认知
数学
心理学
数据挖掘
地理
神经科学
程序设计语言
操作系统
政治学
气象学
法学
纯数学
作者
Gérald Franz,JM Wiener,Akkelies van Nes
摘要
Isovist and visibility graphs offer the great chance to describe spatial properties of environments generically. This paper discusses theoretical and methodological issues arising from the practical application of isovist analysis for empirical research in the field of spatial cognition and architectural psychology. The background of two experiments exploring the influence of spatial form and structure on behavior and experience is presented. Since isovists and visibility graphs allow the translation of a wide range of spatial environments into a common and generic data format, a central analytical step is the derivation of specific characteristic values. As most descriptors mentioned in the literature are rather basic and derived from formal analysis, their descriptive relevance for human spatial perception, behavior, and experience cannot be taken for granted. Hence, the derivation of meaningful descriptors was done theory-driven and empirically verified particularly focusing on classic theories of environmental psychology. Furthermore, strategies for solving the practical issue of finding a suitable scope of application for the analysis as well as the relation between the measurands are discussed. Based on this, a preliminary minimal set of isovist derivatives generically capturing behaviorally and experientially relevant properties of architectural space is proposed.
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