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Main Title: VR-visualization of High-dimensional Urban Data
Author(s): Al Bondakji, Louna
Chatzi, Anna-Maria
Heidari Tabar, Minoo
Wesseler, Lisa-Marie
Werner, Liss C.
Type: Conference Object
Language Code: en
Abstract: The project aims to investigate the possibility of VR in a combination of visualizing high-dimensional urban data. Our study proposes a data-based tool for urban planners, architects, and researchers to 3D visualize and experience an urban quarter. Users have a possibility to choose a specific part of a city according to urban data input like "buildings, streets, and landscapes". This data-based tool is based on an algorithm to translate data from Shapefiles (.sh) in a form of a virtual cube model. The tool can be scaled and hence applied globally. The goal of the study is to improve understanding of the connection and analysis of high-dimensional urban data beyond a two-dimensional static graph or three-dimensional image. Professionals may find an optimized condition between urban data through abstract simulation. By implementing this tool in the early design process, researchers have an opportunity to develop a new vision for extending and optimizing urban materials.
Issue Date: 2018
Date Available: 23-Nov-2018
DDC Class: 003 Systeme
Subject(s): abstract urban data visualization
virtual reality
Geographical Information System
Proceedings Title: Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference
Editor: Kępczyńska-Walczak, Anetta
Bialkowski, Sebastian
Publisher: eCAADe; Lodz University of Technology
Publisher Place: Łódź
Number: 2
Page Start: 773
Page End: 780
ISBN: 978-94-91207-16-7
Appears in Collections:FG Städtebau und nachhaltige Stadtentwicklung » Publications

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