id |
ecaadesigradi2019_369 |
authors |
Contreras, Camilo Hernán |
year |
2019 |
title |
Surfaces Plot - A data visualization system to support design space exploration |
source |
Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 145-152 |
doi |
https://doi.org/10.52842/conf.ecaade.2019.2.145
|
summary |
The notion of design spaces (DS) can be understood as the potential of a parametric model, it is basically the number of possible combinations for its input parameters. When combining tools that produce these alternatives automatically with different simulation softwares, the concept of parametric analysis (PA) emerges. This implies a simultaneous evaluation of the alternatives as they are constructed by the parametric model, producing large amounts of information. This article describes a sectional approach to the management of this information and a visualization technique to represent it looking for correlations between the input parameters and their performance. Correlations that are fundamental to making decisions with confidence when design problems challenge traditional methods of decision-making based on heuristics and design expertise. |
keywords |
Design Space ; Performance-Based Design; Parametric Analysis; Generative Design; Data Visualization |
series |
eCAADeSIGraDi |
email |
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full text |
file.pdf (3,604,182 bytes) |
references |
Content-type: text/plain
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last changed |
2022/06/07 07:56 |
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