Recovery of land knowledge can help to advance the understanding of socio-ecological systems like traditional sustainable agricultural systems. Such efforts require transdisciplinary inquiry, data acquisition and analysis, as well as the development of data-integrated design processes for implementing recovered knowledge in the design of such systems. This article describes the development of a framework for a data-integrated performance-oriented computational design process for the selected case of high-altitude terraced vineyards in Lamole, Tuscany. Based on interviews with local farmers that work with the traditional system of high-altitude terraced viticulture, this research involved analysis of the most complete terraced vineyard in this location, leading to the definition of a performance metric and the development of a parametric computational design process that constitutes a first step towards a generative design approach to terraced vineyards.
Autor / Author: | Tyc, Jakub; Parisi, Erica Isabella; Tucci, Grazia; Hensel, Defne Sunguroğlu; Hensel, Michael Ulrich |
Institution / Institution: | Vienna University of Technology, Vienna/Austria; University of Florence, Florence/Italy; University of Florence, Florence/Italy; Technical University Munich, Munich/Germany; Vienna University of Technology in Vienna/Austria |
Seitenzahl / Pages: | 18 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | JoDLA – Journal of Digital Landscape Architecture, 7-2022 |
Tagung / Conference: | Digital Landscape Architecture 2022 – Hybrid Landscapes |
Veranstaltungsort, -datum / Venue, Date: | Harvard University, Cambridge Mass, USA 09-06-22 - 10-06-22 |
Schlüsselwörter (de): | |
Keywords (en): | Data-integrated design, parametric design process, computational terrain modelling, geospatial analysis, terraced vineyards |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537724049 |
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