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Data Mapping: Interactive Big Data Visualization in Landscape Architecture

“Everyone spoke of an information overload, but what there was in fact was a non-information overload.” (Richard S. Wurman, What-If, Could-Be: An Historic Fable of the Future, 1976) Since the invention of statistical analyses of a scientific nature over 250 years ago (William PLAYFAIR, 1759–1800), we find ourselves in a situation today of almost unlimited data access. However, which data are relevant for design purposes, e.g. how can this data not only be represented understandably, but also be inserted directly into the planning process as design relevant criteria? This paper discusses the results of our current research in the area of abstract representation of data as a design support tool. The findings were tested on their methodological implementation and application in practice and subsequently presented in the one-year study program of the Master of Advanced Studies in Landscape Architecture (MAS LA).

Autor / Author: Fricker, Pia; Munkel, Georg
Institution / Institution: ETH Zurich, Switzerland; ETH Zurich, Switzerland
Seitenzahl / Pages: 10
Sprache / Language: Englisch
Veröffentlichung / Publication: Peer Reviewed Proceedings of Digital Landscape Architecture 2015 at Anhalt University of Applied Sciences
Tagung / Conference: Digital Landscape Architecture 2015 – Landscape Architecture and Planning
Veranstaltungsort, -datum / Venue, Date: Dessau, Germany 04-06-15 - 06-06-15
Schlüsselwörter (de):
Keywords (en): Big Data, visualization
Paper review type: Full Paper Review
DOI:
1817 -