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Landscape Chambers: Towards an Archaeology of the Cognitive Landscape
Journal of Archaeological Method and Theory ( IF 3.2 ) Pub Date : 2025-01-06 , DOI: 10.1007/s10816-024-09687-0
Zoran Čučković

This article is introducing a method for the analysis of landscape visual coherence. Inspired by landscape and architecture research, the landscape chambers method is based on quantitative analysis of visibility networks, modelled in a digital environment. It relies on an algorithm for the detection of closely connected subgroups within an intervisibility network, in order to isolate visually distinct areas or landscape chambers. This approach is applied to prehistoric landscapes in the Parisian Basin (2000–500 BCE), where funerary monuments reveal complex relationships between past populations and their visual landscape. The analysis uncovered that these monuments were typically placed in visually exposed locations, with preference, in certain cases, for visually coherent landscape chambers. The proposed approach thus offered insights into the semiosis of the prehistoric landscape, i.e., the production of new meanings through visual discourse. More generally, the proposed method aims to provide a conceptual and methodological bridge between the study of physical and mental spaces.



中文翻译:


景观室:迈向认知景观考古学



本文介绍了一种分析景观视觉连贯性的方法。受景观和建筑研究的启发,景观室方法基于对能见度网络的定量分析,在数字环境中建模。它依赖于一种算法来检测互能性网络中紧密连接的子组,以隔离视觉上不同的区域或景观室。这种方法适用于巴黎盆地(公元前 2000-500 年)的史前景观,那里的葬礼纪念碑揭示了过去人口与其视觉景观之间的复杂关系。分析发现,这些纪念碑通常放置在视觉上暴露的位置,在某些情况下,更喜欢视觉上连贯的景观室。因此,所提出的方法提供了对史前景观符号学的见解,通过视觉话语产生新的意义。更一般地说,所提出的方法旨在在物理空间和心理空间的研究之间提供概念和方法论的桥梁。

更新日期:2025-01-06
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