
Computational design has been utilized in landscape architecture for decades, and parametric design, a sub-category of computational design, has been gaining momentum in the field. Landscape architects are using parametric software programs to generate complex forms and to evaluate new spatial development. They aid designers in rapidly developing alternative designs to test complex forms and spatial designs. Key academics and practitioners of landscape architecture are implementing parametric design as part of their design process in generating various design scenarios. This study explores the current utilization of parametric design tools in landscape architectural practice and helps identify what basic functions may be important within landscape architecture education to aid students’ understanding of these programs for design exploration. Inspired by the case studies analysis, three simplified ready-made design ‘scripts’ were provided to a novice student for experimentation with the generative design method.
Autor / Author: | Ashari, Afshin; Amoroso, Nadia; Kelly, Sean |
Institution / Institution: | University of Guelph, Ontario/Canada; University of Guelph, Ontario/Canada; University of Guelph, Ontario/Canada |
Seitenzahl / Pages: | 13 |
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): | Parametric design, computational design, digital landscape architecture, teaching landscape architecture |
Paper review type: | Full Paper Review |
DOI: | doi:10.14627/537724058 |
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