| id |
ecaade2018_232 |
| authors |
Al Bondakji, Louna, Chatzi, Anna-Maria, Heidari Tabar, Minoo, Wesseler, Lisa-Marie and Werner, Liss C. |
| year |
2018 |
| title |
VR-visualization of High-dimensional Urban Data |
| doi |
https://doi.org/10.52842/conf.ecaade.2018.2.773
|
| source |
Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 773-780 |
| summary |
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. |
| keywords |
Abstract Urban Data Visualization; Virtual Reality; Geographical Information System |
| series |
eCAADe |
| email |
minoo.heidaritabar@campus.tu-berlin.de |
| full text |
 file.pdf (5,702,192 bytes) |
| references |
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