Visual Heritage Landscape Research

A Pathway Framework for Integrating Data, Methods, and Content

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cover Visual Heritage Landscape Research

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2026-06-01

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Visual Heritage Landscape Research: A Pathway Framework for Integrating Data, Methods, and Content. (2026). A+BE | Architecture and the Built Environment, 17(10), 1-444. https://aplusbe.eu/index.php/p/article/view/466

Keywords:

Visual Landscape Research, Heritage Landscape, Digital Technologies, Perception, Mapping

Abstract

Heritage landscapes are shaped, experienced, and interpreted through vision. Visual qualities such as openness, enclosure, depth, skyline continuity, landmark prominence, and view accessibility strongly influence how heritage values are perceived and how spatial change is judged. However, research on visual heritage landscapes remains fragmented: studies often prioritize either spatial-technical analysis or perception-based evaluation, while the relationships among data, methods, and research aims remain implicit. This limits methodological comparability, transferability, and practical application. This dissertation develops a pathway-oriented framework for visual heritage landscape research by integrating three core components: data, methods, and content. Rather than treating methods as isolated techniques, it conceptualizes research as structured pathways that connect evidence, analytical procedures, and intended outputs. Based on a systematic review and typological synthesis, four expanded pathways are proposed and tested through case studies of a historic garden, a historic urban area, an urban heritage landscape, and a rural heritage landscape.

Across these cases, the thesis demonstrates how spatial modelling, multi-source geo-data, immersive technologies, and perception-based methods can be combined to explain visual mechanisms, assess environmental preferences, strengthen cross-scale interpretation, and support decision-making in conservation, planning, and design. The dissertation further develops a navigational model that helps researchers and practitioners select and adapt pathways according to research objectives, data availability, and implementation needs. Overall, the thesis contributes a coherent and transferable framework that translates visual evidence into structured, interpretable, and actionable knowledge for heritage landscape conservation, planning, and design.

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