Download - Visualising city complexity
visualising the complexity of cities
.this is what my research is about
local interactions
emergent global structure
environment
time
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)
.complexity
.the macroscope
3 HOW IS THE MACROSCOPE USED?Short term, allows to predict where the system is going (there are only so and so interactions possible given the elements) but, more importantly, long term, it allows to create flexible solutions that are able to adapt to the changes of the system. For this reason the mapping must be a constant activity.
The MacroscopeJoël de Rosnay
Maps of processes, actors, relations. (visualise complexity to understand it)
densitydesign.org
cities are complex, self-organising systems
(K. Lynch)
New York City Panorama, At Queens Museum (1964)
does it make sense as an urban planning tool?
“scientific” cartography’s inability to capture the contemporary city
(D. Cosgrove)images: http://www.flickr.com/photos/kyletay-lor/9624268614/
openstreetmap.org
Map of Bedolina (Iron Age - Val Camonica, Italy)
animals
???
settlements
warriors
networks
.maps that tell stories
Dada
Guy Debord, The Naked City
Christian Nold San Francisco Emotion Map (2007)
Sensory Maps Kate McLean
Map Your MovesMoRiz stefaneR (2010)
.the role of data
The Smart Citizen KitacRobotics (2013)
Visual Explorations of Urban MobilityMit senseable lab
Sitegeistsunlight foundation, ideo (2012)
Change by Us NYCa pRoJect by code foR aMeRica and local pRoJects (2011)
The Metropolis of Tomorrowa book by hugh feRRiss (1929)
.the city of the “future”
MetropolisfRitz lang (1927)
.“the future”fOR sCI-fI
distropian future dominated by hardware, humans are controlled by machines and oppressed by a centraliZed dictatorial government. images: bLADE RUNNER
Black Mirror Season 1uk channel 4 Mini-seRies (2011)
THX 1138diRected by geoRge lucas (1971)
Logan’s RundiRected by Michael andeRson (1976)
back to the point
.visualisation process (a draft)
Acquire data Analyse Represent Relations
Manage Design Interventions
Scenarios
ScalePinpoint Clusters
Framing
Graining
Data
past/analysis
Information Knowledge Understanding Wisdom
future/design
Raw. No signifi-cance in itself.
Added meaning through relational connections
Appropriate collec-tion of information to make it useful
Synthesize new knowledge from knowledge.
Judgement (good-bad, right-wrong...)
research visualize Identify potential
scenarios
past/analysis future/design
research visualize Identify potential
scenarios
visualisations forfuture envisioning
breakfasts (RC4)
past/analysis future/design
research visualize Identify potential
scenarios
visualisations forfuture envisioning
breakfasts (RC4)
maps of research diagrams
past/analysis future/design
research visualize Identify potential
scenarios
visualisations forfuture envisioning
breakfasts (RC4)
map of research connections
(low res prototype)
maps of research diagrams
thank [email protected]