A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
From viewsheds to viewscapes: Trends in landscape visibility and visual quality research
Highlights First multi-disciplinary systematic review of visibility & visual quality research. VVQ research increased 21-fold over past two decades. Advances in GIS allow more efficient, accurate visibility models. Bare-earth elevation models still dominate VVQ analysis despite limitations. Present 4-step framework for reporting + conceptual guidelines for future research.
Abstract The study of visibility and visual quality (VVQ) spans scientific disciplines, methods, frameworks and eras. Recent advances in line-of-sight computation and geographic information systems (GIS) have propelled VVQ research into the realm of high performance computing via a cache of geospatial tools accessible to a broad range of research disciplines. However, in the disciplines that use VVQ analysis most (archaeology, architecture, geosciences and planning), methods and terminology can vary markedly, which may encumber interdisciplinary progress. A multidisciplinary systematic review of past VVQ research is timely to assess past efforts and effectively advance the field. In this study, we summarize the state of VVQ research in a systematic review of peer-reviewed publications spanning the past two decades. Our search yielded 528 total studies, 176 of which we reviewed in depth. VVQ analysis in peer-reviewed research increased 21-fold in the last 20 years, applied primarily in archaeology and natural resources research. We found that methods, tools and study designs varied across disciplines and scales. Research disproportionately represented the Global North and primarily employed medium resolution bare-earth elevation models, despite their known limitations. We propose a framework for standardized reporting of methods that emphasizes cross-disciplinary collaboration to propel visibility research into the future.
From viewsheds to viewscapes: Trends in landscape visibility and visual quality research
Highlights First multi-disciplinary systematic review of visibility & visual quality research. VVQ research increased 21-fold over past two decades. Advances in GIS allow more efficient, accurate visibility models. Bare-earth elevation models still dominate VVQ analysis despite limitations. Present 4-step framework for reporting + conceptual guidelines for future research.
Abstract The study of visibility and visual quality (VVQ) spans scientific disciplines, methods, frameworks and eras. Recent advances in line-of-sight computation and geographic information systems (GIS) have propelled VVQ research into the realm of high performance computing via a cache of geospatial tools accessible to a broad range of research disciplines. However, in the disciplines that use VVQ analysis most (archaeology, architecture, geosciences and planning), methods and terminology can vary markedly, which may encumber interdisciplinary progress. A multidisciplinary systematic review of past VVQ research is timely to assess past efforts and effectively advance the field. In this study, we summarize the state of VVQ research in a systematic review of peer-reviewed publications spanning the past two decades. Our search yielded 528 total studies, 176 of which we reviewed in depth. VVQ analysis in peer-reviewed research increased 21-fold in the last 20 years, applied primarily in archaeology and natural resources research. We found that methods, tools and study designs varied across disciplines and scales. Research disproportionately represented the Global North and primarily employed medium resolution bare-earth elevation models, despite their known limitations. We propose a framework for standardized reporting of methods that emphasizes cross-disciplinary collaboration to propel visibility research into the future.
From viewsheds to viewscapes: Trends in landscape visibility and visual quality research
Inglis, Nicole C. (author) / Vukomanovic, Jelena (author) / Costanza, Jennifer (author) / Singh, Kunwar K. (author)
2022-04-02
Article (Journal)
Electronic Resource
English
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