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Developing New Computational Methodologies for Data Integrated Design for Landscape Architecture

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Link to refer to this document:
10.3311/CAADence.1668
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  • CAADence in Architecture, 2016 [34]
Abstract
The form language of the currently ongoing trend of parametric design remains often symbolic and arbitrarily interchangeable. In order to counteract this general trend within landscape architecture, the increasing digitalization in design should not contribute to generating even greater meaningless complexity. The main goal within the postgraduate study program Master of Advanced Studies in Landscape Architecture (MAS LA) at the Chair of Prof. Chrsitophe Girot at ETH Zurich, is to examine which workflows are suitable for understanding a place with its given potentials as local data sets to generate a responsive and sustain-able landscape design. Often data is integrated at the outset of the design process – in contrast, we would like to propose the thesis that an understanding of a site and the conceptual stance drawn from it influences the choice of data and not the contrary. It is therefore necessary to search for new methodic approaches and workflows in order to understand a place with its different contextual layers and integrate the right data as parameters in the process.
Title
Developing New Computational Methodologies for Data Integrated Design for Landscape Architecture
Author
Fricker, Pia
Date of issue
2016
Access level
Open access
Copyright owner
Faculty of Architecture, Budapest University of Technology and Economics
Conference title
CAADence in Architecture, 2016
Conference place
Budapest University of Technology and Economics
Conference date
16 June - 17 June 2016
Language
en
Page
119 - 125
Subject
Didactics and digital education, Modeling with scripting, Visualization and communication, Computational Methodologies
Version
Kiadói változat
Identifiers
DOI: 10.3311/CAADence.1668
Title of the container document
CAADence in Architecture: Back to Command: Proceedings of the International Conference on Computer Aided Architectural Design
ISBN, e-ISBN
978-963-313-237-1
978-963-313-225-8
Document type
könyvfejezet
Document genre
Konferenciacikk
Subject area
Műszaki tudományok
Field
Építészmérnöki tudományok
University
Budapest University of Technology and Economics
Faculty
Faculty of Architecture

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