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Parametric design for landscape architects : computational techniques and workflows / Andrew Madl

Author
Madl, Andrew
Published
Milton Park, Abingdon, Oxon ; New York, NY : Routledge, 2021.
Physical Description
1 online resource
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Summary
"Parametric Design for Landscape Architects provides a sequence of tutorial-based workflows for the creation and utilization of algorithmic tools calibrated towards the field of landscape architecture. Contemporary practice and projective theory in landscape architecture requires the processing and design of data associated with complex systems to adequately represent composite, emergent scenarios. Aligning to both traditional and nascent processes of analysis and digital modeling, this book unpacks and decodes the characterization of algorithmic-based automation, leveraging software that is widely accessible in both academia and professional practice. Curated throughout are workflows that apply to a multiplex of computation programs that widely support the design, analysis, and production of landscapes, primarily concentrated on digital modeling tools Grasshopper and Rhinoceros. It is a much-needed, visually accessible, resource to aid in more efficient understanding and creation of tools that automate and re-examine traditional calculations, analyses, drawing standards, form-finding strategies, fabrication preparations, and speculative assessments/simulation. This primer provides professionals and students with multifaceted skill-sets that, when applied in practice, expand and expedite conventional and speculative design workflows applicable to spatial design, and more specifically landscape architecture. Includes over 200 full colour drawings, images and tables to illustrate and support examples throughout"--
Subject(s)
ISBN
9780429202957 (ebook)
0429202954
9780429514975 (epub)
0429514972
9780429511547 (PDF ebook)
042951154X
9780429518409 (electronic bk. : Mobipocket)
0429518404 (electronic bk. : Mobipocket)
9780367195298 (hardback)
9780367195304 (paperback)
View MARC record | catkey: 37747639