This document discusses visualizing complexity in cities through maps and diagrams. It notes that cities are complex, self-organizing systems and explores using maps to understand and plan urban environments. Different types of maps are mentioned, from traditional cartography to sensory maps and maps created from collected citizen data. The visualization process is outlined, from acquiring and analyzing data to representing relationships and identifying potential scenarios. The goal is to understand cities as complex adaptive systems and envision possible futures through various visualizations.
3. .
complexity
environment
complex adaptive
systems.
Order arising out of a complex
dynamical system. (C. Langton)
Complex adaptive systems are
pattern seekers. They interact
with the environment, “learn”
from experience and adapt as a
result
(Murray Gell-Mann)
emergent global structure
local interactions
time
29. .
visualisation
process
(a draft)
Acquire data
Data
Raw. No significance in itself.
Analyse
Scale
Framing
Graining
Information
Added meaning
through relational
connections
Represent
Relations
Manage Design
Interventions
Scenarios
Knowledge
Understanding
Wisdom
Pinpoint Clusters
Appropriate collection of information
to make it useful
Synthesize new
knowledge from
knowledge.
past/analysis
research
Judgement (goodbad, right-wrong...)
future/design
visualize
Identify
potential
scenarios