A Meta-Notation for Architects: How Architectural Drawings Can Borrow from Big Data Visualization

Jeana RIPPLE

PDF(12430 KB)
PDF(12430 KB)
Landsc. Archit. Front. ›› 2015, Vol. 3 ›› Issue (3) : 36-45. DOI: 10.1007/slaf-0036-15006
Views & Criticisms
Views & Criticisms

A Meta-Notation for Architects: How Architectural Drawings Can Borrow from Big Data Visualization

Author information +
History +

Abstract

The amount and complexity of data navigated during the design process is growing exponentially. Yet, notation conventions in architecture fail to record our design systems or models and default to documenting just the singular output they produce. The scientific community, particularly those dealing with “big data” computational models, has been wrestling with multivariate information visualization for quite some time. By studying the challenges and solutions to big data visualization, architects can re-invent drawing conventions to include meta-notation — a notation to describe the design and its underlying system of variables and constraints.

Keywords

Architectural Drawing / Big Data Visualization / Design Process

Cite this article

Download citation ▾
Jeana RIPPLE. A Meta-Notation for Architects: How Architectural Drawings Can Borrow from Big Data Visualization. Landsc. Archit. Front., 2015, 3(3): 36‒45 https://doi.org/10.1007/slaf-0036-15006

RIGHTS & PERMISSIONS

2014 Higher Education Press
AI Summary AI Mindmap
PDF(12430 KB)

Accesses

Citations

Detail

Sections
Recommended

/