Invited talk at IxDA Berlin. http://ixdaberlin.groupsite.com/calendar/event/2011/7/13/284398

1. GeoViz.
More
than
Zoom
&
Pan
IxDA
Berlin,
July
2011
Till
Nagel,
FH
Potsdam,
13
July
2011

2. FH
Potsdam.
Interface
design
programme
Informa=on
Architecture
and
Visualiza=on
Prof.
Danijela
Djokic
Design
of
SoHware
Interfaces
Prof.
Dr.
Frank
Heidmann
Interac=on
Design
Prof.
Boris
Müller
Natural
User
Interfaces
and
Geovisualiza=on
Till
Nagel
Design
of
Physical
and
Virtual
Interfaces
Prof.
Reto
WeRach

3. mæve
Venice
Biennale
of
Architecture,
2008
hKp://portal.mace-­‐project.eu/maeve

4. Overview
•
What
are
Geovisualiza=ons?
•
How
do
they
support
explora=on
and
analysis?
•
What
is
the
digital
city?
•
What
kind
of
user
generated
geo-­‐spa=al
data
exist?
•
How
can
we
engage
ci=zens?
•
Many
examples
for
illustra=on
•
Outlook

5. IntroducRon

7. Gapminder

8. Gapminder

9. “
A
map
is
not
the
territory
Alfred
Korzybski
(1931)

10. “
A
map
is
not
the
territory
it
represents,
but
if
correct,
it
has
a
similar
structure
to
the
territory,
which
accounts
for
its
usefulness.
Alfred
Korzybski
(1931)

11. InteracRve
online
maps

12. Neogeography

13. Hand
drawn
personal
maps
hKp://handmaps.org

14. GPS:
Accurate
user-­‐generated
geospaRal
data

15. Bagdad
(Google
Maps)

16. Bagdad
(Open
Street
Map)

17. Neogeography
“
[…]
people
using
and
crea<ng
their
own
maps,
on
their
own
terms,
and
by
combining
elements
of
an
exis<ng
toolset.
Andrew
Turner
(2006),
Introduc=on
to
Neogeography,
O’Reilly
Media

18. Mashups
Housing
Maps,
Paul
Rademacher,
2005

19. User
generated
data

20. User
generated
data
•
Explici=ly
added
geo-­‐spa=al
data.
•
Loca=on-­‐aware
social
networks.
•
GPS
enabled
smart
phones.
•
Real
world
tracking,
e.g.
by
sensors.
And
combine
it
with
other
geospa=al
data
sources.

21. Voluntarily
enriched
maps
WikiMapia.org

22. TwiKer
Live
Map:
Castor
2010

23. Just
landed
Jer
Thorp,
2009

24. Data
VisualizaRon

25. Many
eyes
IBM
Visual
CommunicaRon
Lab,
2007

26. “
The
use
of
computer-­‐generated,
interac<ve,
visual
representa<ons
of
data
to
amplify
cogni<on.
Card,
Mackinlay,
Shneiderman

27. OECD
eXplorer

28. “
The
purpose
of
visualiza<on
is
insight,
not
pictures.
Ben
Shneiderman

29. GeoVisualizaRon

30. “Plain”
data
mapping

31. London
Cholera
Map
John
Snow,
1854

32. Oakland
crimespogng
Stamen,
2009

33. Napoleon’s
March
Charles
Joseph
Minard,
1869

34. Real
Time
Rome
MIT
Senseable
City
Lab,
2006

35. London
Underground
map
Harry
Beck,
1931

36. Travel
Time
Tube
Map
Tom
Carden,
2005

37. Travel
Time
Tube
Map
Tom
Carden,
2005

38. Digital
life

39. Pedestrian
LevitaRon
Thomas
Laureyssens,
2005

40. Bio
Mapping
ChrisRan
Nold,
2007

41. Bio
Mapping
ChrisRan
Nold,
2007

42. 2011:
We
are
all
data
sources.

43. Betrayed
by
your
own
data
Die
Zeit,
2011

44. Visualizing
Amsterdam
SMS
Aaron
Koblin,
2008

45. Aggregate

46. „ReuterquarRer“
Quar=ersbüro
Reuterplatz

47. „01
Reuterkiez“
Bezirksamt
Neukölln

48. „Kreuzkölln“
Wikipedia.de:
Reuterkiez

49. User
generated
data
Qype

50. User
generated
data
Flickr

51. Neighbourhood
Boundaries
Tom
Taylour,
2008

52. Combine

53. City
Murmur

54. Neighbourhood
Boundaries
Tom
Taylour,
2008

55. Interpret

56. Mapping
the
world’s
photos

57. Mapping
the
world’s
photos

58. The
World’s
Eyes
MIT
Senseable
City
Lab,
2008
Girardin,
F.,
Calabrese,
F.,
Dal
Fiore,
F.,
Raf,
C.,
and
Blat,
J.
(2008).
Uncovering
the
presence
and
movements
of
tourist
from
user-­‐generated
content.

59. The
World’s
Eyes
MIT
Senseable
City
Lab,
2008

60. “
SoHware
to
support
GeoVisual
Analy<cs
should
be
lightweight
[and]
usable,
rather
than
huge
and
complex
like
current
GIS.
Andrienko
G,
et
al.
2010

61. MulRtouch
GeoVis
Easy-­‐to-­‐use
interacRve
geovisualizaRon

62. Muse
Visualizing
ScienRfic
CollaboraRon

63. Muse
Visualizing
ScienRfic
CollaboraRon

64. Pan
InterakRonen
Rotate
Select

65. Muse
–
Visualizing
scienRfic
collaboraRon

66. Muse
–
Visualizing
scienRfic
collaboraRon

68. Venice
Unfolding
Enabling
ciRzens
to
parRcipate
in
urban
planning

69. Urban
transformaRon
of
the
City
of
Venice
•
116
architectural
projects
•
Metadata
and
media
files
•
Selected
terms
from
an
architecture
taxonomy

70. InteracRve
tabletop
Jula
Lakritz,
Nadine
Patzig,
Stefan
Rechsteiner,
MarRn
Schissler,
Stephan
Thiel

71. Polyhedron
to
explore
faceted
data

72. Display
of
facets

73. Tilt
to
select
facet

74. Rotate
to
select
term

75. Lock
term
to
highlight
matching
results

76. Video:
Venice
Unfolding
hRp://vimeo.com/11526474

77. Browse
through
media
files
Nagel,
T.,
Heidmann,
F.,
CondoKa,
M.,
Duval,
E.
Venice
Unfolding:
A
Tangible
User
Interface
for
Exploring
FacePed
Data
in
a
Geographical
Context.
In
Proceedings
of
the
6th
Nordic
Conference
on
Human-­‐
Computer
InteracRon
(NordiCHI
10),
Reykjavik,
Iceland,
2010

78. Dichotomy
between
usability
and
novel
interac=ons.

79. Computer’s
image
of
the
human
Dan
O‘Sullivan
and
Tom
Igoe,
Physical
Compu=ng,
2004

80. Iron
Man
Shot

81. Geo
VisualizaRons
Experimental
projects
at
FH
Potsdam

82. UniMap
Julia
Kontor,
Riccardo
Lardi,
Sarah
Baron,
Paula
Breithaupt

83. Julia
Kontor,
Riccardo
Lardi,
Sarah
Baron,
Paula
Breithaupt

84. LiteraryMap
LocaRon
based
literature
exploraRon
Jan-­‐Erik
Stange
and
SebasRan
Meier

86. lit.
hKp://lit.sebasRanmeier.eu/

87. chris
grabert

88. Splendor
Viewpoints
of
a
City
SebasRan
Schwinkendorf,
MaKhias
Löwe

89. Splendor
Viewpoints
of
a
City

90. Splendor
Viewpoints
of
a
City
SebasRan
Schwinkendorf,
MaKhias
Löwe

91. Splendor
Viewpoints
of
a
City
Köln
Amsterdam

92. Conscape
Concerts
in
a
city
Jeremias
Volker,
Florian
Schulz,
Julian
Stahnke

93. Conscape
Concerts
in
a
city

94. Emography
Feelings
of
a
city
Daniel
Palmér,
Robin
Rundkvist

95. Video:
Emography
hRp://vimeo.com/20259633

96. LiquidPhone
Movements
in
a
city
Gunnar
Friedrich,
Luis
Grass,
Christopher
Pietsch,
David
Ikuye,
Pierre
La
Baume

97. The
Naked
City
Guy
Debord,
1957

98. LiquidPhone
Movements
in
a
city

99. LiquidPhone
Movements
in
a
city

100. Conclusion
&
Outlook

101. Summary
•
Pervasiveness
of
geospa=al
data.
•
Digital
technology
intertwined
into
urban
life.
•
Everbody
leaves
a
digital
signature.
•
Need
to
understand
paRerns
and
flows
of
informa=on.

102. Summary
•
Geovisualiza=on
s=mulates
visual
analysis.
•
Making
invisible
layers
visible.
•
Interac=ve
visualiza=on
allow
explora=on.
•
Aesthe=cs
in
visualiza=on
and
interac=on.
•
Ques=on-­‐making
and
engage
a
discussions.
•
Simple
tools
are
needed

103. Dotspogng

104. Unfolding
map
library

105. Unfolding
Map
library
for
Processing,
FH
Potsdam,
2011

106. Unfolding
Map
library
for
Processing,
FH
Potsdam,
2011

107. Live
Singapore

108. Live
Singapore

109. Thank
you!
QuesRons?
hKp://idl.v-­‐potsdam.de
Till
Nagel,
FH
Potsdam,
07/2011
nagel@v-­‐potsdam.de
–
twiKer:
@Rllnm