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Inszenierte Analyse
Prof. Dr. Till Nagel, @tillnm
Von attraktiver Visualisierung zu tieferem Verständnis
UX-Day, 13. Oktober 2016
Muster Beziehungen Trends
ChrisHowardJohnSnow
NewYorkTimes
MoritzStefaner
MarkLombardi
WilliamPlayfair
Muster Beziehungen Trends
ChrisHowardJohnSnow
NewYorkTimes
MoritzStefaner
MarkLombardi
WilliamPlayfair
Muster Beziehungen Trends
ChrisHowardJohnSnow
NewYorkTimes
MoritzStefaner
MarkLombardi
WilliamPlayfair
Narrative Visualisierung
E.SegelandJ.Heer,NarrativeVisualization:TellingStorieswithData,2010
cf. city flows is a comparative visualization
environment of urban bike mobility designed
to help citizens casually analyze three bike-
sharing systems in the context of a public
exhibition space.
Multiple large screens show the space of
flows in bike sharing for three selected cities.
•  Anregende Ästhetik bieten
Design
•  Vergleichende Analyse unterstützen
Funktional
•  Einen Raum für Diskussion öffnen
Sozial
Gestaltungsziele
Bike Sharing Systeme
Sammeln, verarbeiten und analysieren von Daten
London
Santander Cycles
Berlin
Call a Bike
New York
Citibike
alanlevin
RudolfSimon
Nick-D
London
Santander Cycles
Berlin
Call a Bike
New York
Citibike
20° C
3 Juni 2015
21° C 21° C
alanlevin
RudolfSimon
Nick-D
Raw data
Visuelle Experimente
Daten erkunden
Basiskarte
TillNagel
Städte vergleichen
TheStar,gridbyRobinChubb
Eurostat
cf. city flows
Inszenierte Analyse in einer Fallstudie
Stadtweite Sicht
Stationssicht
Small-Multiple Sicht
Ausstellung
Besuchererlebnisse gestalten
Productdesign:SamiraAkhavan,AndreaBiedermann,ChristianMünch
Beobachtungen,
Feedback und Rezeption
Photo:StephanieNeumann
Ästhetisch, Funktional und Sozial
Rezeption
cf. city flows demonstriert wie man komplexe
räumlich-zeitliche Daten so in Szene setzen kann,
dass ein größeres Publikum Interesse entwickelt,
Fragen stellt und sich mit dem Thema beschäftigt.
Vielen Dank.
Prof. Dr. Till Nagel, @tillnm Christopher Pietsch & Prof. Dr. Marian Dörk
Urban Complexity Lab, FH PotsdamHochschule Mannheim
Dank an meine Partner:

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Inszenierte Analyse - Von attraktiver Visualisierung zu tieferem Verständnis