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GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
GeoVisualization for Understanding Cities
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GeoVisualization for Understanding Cities

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  • 1. Geovisualiza+on  for  Understanding  Ci+es  Scuola  di  Do8orato,  IUAV   Till  Nagel,  FH  Potsdam,  27  June  2011  
  • 2. FH  Potsdam  Interface  design  programme   Informa<on  Architecture  and  Visualiza<on      Prof.  Danijela  Djokic   Design  of  SoGware  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. 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  
  • 4. Introduc+on  
  • 5. Gapminder  
  • 6. Gapminder  
  • 7. “   A  map  is  not  the  territory   Alfred  Korzybski  (1931)  
  • 8. “   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)  
  • 9. Interac+ve  online  maps  
  • 10. Neogeography  
  • 11. Hand  drawn  personal  maps   h8p://handmaps.org  
  • 12. GPS:  Accurate  user-­‐generated  geospa+al  data  
  • 13. Bagdad  (Google  Maps)  
  • 14. Bagdad  (Open  Street  Map)  
  • 15. 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  
  • 16. Mashups   Housing  Maps,  Paul  Rademacher,  2005  
  • 17. User  generated  data  
  • 18. 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.  
  • 19. Voluntarily  enriched  maps   WikiMapia.org  
  • 20. Twi8er  Live  Map:  Castor  2010  
  • 21. Just  landed   Jer  Thorp,  2009  
  • 22. Visualizing  Friendship,  Paul  Butler,  2010  
  • 23. Data  Visualiza+on  
  • 24. Many  eyes   IBM  Visual  Communica+on  Lab,  2007  
  • 25. “   The  use  of  computer-­‐generated,  interac<ve,   visual  representa<ons  of  data  to  amplify   cogni<on.   Card,  Mackinlay,  Shneiderman  
  • 26. OECD  eXplorer  
  • 27. “   The  purpose  of  visualiza<on  is  insight,   not  pictures.   Ben  Shneiderman  
  • 28. mæve     Venice  Biennale  of  Architecture,  2008   h8p://portal.mace-­‐project.eu/maeve  
  • 29. mæve    
  • 30. h8p://portal.mace-­‐project.eu/maeve  
  • 31. GeoVisualiza+on  
  • 32. “Plain”  data  mapping  
  • 33. London  Cholera  Map   John  Snow,  1854  
  • 34. Oakland  crimespodng   Stamen,  2009  
  • 35. Napoleon’s  March   Charles  Joseph  Minard,  1869  
  • 36. Real  Time  Rome   MIT  Senseable  City  Lab,  2006  
  • 37. London  Underground  map   Harry  Beck,  1931  
  • 38. Travel  Time  Tube  Map   Tom  Carden,  2005  
  • 39. Travel  Time  Tube  Map   Tom  Carden,  2005  
  • 40. Digital  life  
  • 41. 1hr  in  Front  of  the  TV   the_bumblebee,  2006  
  • 42. Pedestrian  Levita+on   Thomas  Laureyssens,  2005  
  • 43. Bio  Mapping   Chris+an  Nold,  2007  
  • 44. Bio  Mapping   Chris+an  Nold,  2007  
  • 45. 2011:  We  are  all  data  sources.  
  • 46. Betrayed  by  your  own  data   Die  Zeit,  2011   h8p://www.zeit.de/datenschutz/malte-­‐spitz-­‐data-­‐reten+on  
  • 47. Visualizing  Amsterdam  SMS   Aaron  Koblin,  2008  
  • 48. Aggregate  
  • 49. „Reuterquar+er“   Quar<ersbüro  Reuterplatz  
  • 50. „01  Reuterkiez“   Bezirksamt  Neukölln  
  • 51. „Kreuzkölln“   Wikipedia.de:  Reuterkiez  
  • 52. User  generated  data   Qype  
  • 53. User  generated  data   Flickr  
  • 54. Neighbourhood  Boundaries   Tom  Taylour,  2008  
  • 55. Combine  
  • 56. A  Week  in  the  Life   Andreas  Fischer,  2008  
  • 57. A  Week  in  the  Life   Andreas  Fischer,  2008  
  • 58. City  Murmur  
  • 59. Neighbourhood  Boundaries   Tom  Taylour,  2008  
  • 60. Interpret  
  • 61. Mapping  the  world’s  photos   Crandall,  D.,  Backstrom,  L.,  HuRenlocher,  D.,  Kleinberg,  J.   (2009).  Mapping  the  World‘s  Photos.  WWW  2009  
  • 62. Mapping  the  world’s  photos  
  • 63. The  World’s  Eyes   MIT  Senseable  City  Lab,  2008   Girardin,  F.,  Calabrese,  F.,  Dal  Fiore,  F.,  Rag,  C.,  and  Blat,  J.  (2008).  Uncovering   the  presence  and  movements  of  tourist  from  user-­‐generated  content.  
  • 64. The  World’s  Eyes   MIT  Senseable  City  Lab,  2008  
  • 65. “   SoHware  to  support  GeoVisual  Analy<cs   should  be  lightweight  [and]  usable,  rather   than  huge  and  complex  like  current  GIS.   Andrienko  G,  et  al.  2010  
  • 66. Mul+touch  GeoVis  Easy-­‐to-­‐use  interac+ve  geovisualiza+on  
  • 67. Muse   Visualizing  Scien+fic  Collabora+on    
  • 68. Muse   Visualizing  Scien+fic  Collabora+on    
  • 69. Pan   Interak+onen  Rotate   Select  
  • 70. Muse  –  Visualizing  scien+fic  collabora+on  
  • 71. Muse  –  Visualizing  scien+fic  collabora+on  
  • 72. Venice  Unfolding  Enabling  ci+zens  to  par+cipate  in  urban  planning  
  • 73. Urban  transforma+on  of  the  City  of  Venice   •   116  architectural  projects   •   Metadata  and  media  files   •   Selected  terms  from  an  architecture  taxonomy  
  • 74. Interac+ve  tabletop   Jula  Lakritz,  Nadine  Patzig,   Stefan  Rechsteiner,  Mar+n   Schissler,  Stephan  Thiel  
  • 75. Map  of  Vene+an  region  
  • 76. Polyhedron  to  explore  faceted  data  
  • 77. Unfolded  data  object   Selec+on  of  filter  „architect“   Interaktive Installation »mæve«Entries  of  the  selected  facet   Selec+on  of  an  item  
  • 78. Display  of  facets  
  • 79. Tilt  to  select  facet  
  • 80. Rotate  to  select  term  
  • 81. Lock  term  to  highlight  matching  results  
  • 82. Video:  Venice  Unfolding   hRp://vimeo.com/11526474  
  • 83. Browse  through  media  files  
  • 84. Browse  through  background  informa+on   Nagel,  T.,  Heidmann,  F.,  Condo8a,  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  Interac+on  (NordiCHI  10),  Reykjavik,  Iceland,  2010  
  • 85. Eye-­‐tracking  study   Sabine  Richter,   ≈Sebas+an  Schwinkendorf  
  • 86. Venice  Unfolding:  Nutzerstudie   Polyhedron  to  select  faceted  data     •   User  has  to  re-­‐find  facet  every  <me   >  Color-­‐code  facets   •   Til<ng  not  self-­‐explanatory   >  Embed  accelerometer  
  • 87. Venice  Unfolding:  Nutzerstudie   Polyhedron  to  select  faceted  data     •   User  has  to  re-­‐find  facet  every  <me   >  Color-­‐code  facets   •   Til<ng  not  self-­‐explanatory   >  Embed  accelerometer  
  • 88. Conclusions   •   Tangible  ar<fact  acts  as  resource  for  ac<on   Invites  users  to  explore  data   •   Reduces  the  barrier  between  physical  world  and  virtual  data   Enables  ci4zens  to  par4cipate  in  the  discovery  and  analysis  of  informa4on   referring  to  the  physical  world   •   Provides  a  sensory  user  experience  
  • 89. Dichotomy  between  usability  and  novel  interac<ons.  
  • 90. Computer’s  image  of  the  human     Dan  O‘Sullivan  and  Tom  Igoe,  Physical  Compu<ng,  2004  
  • 91. Iron  Man  Shot  
  • 92. Urban  Visualiza+ons    Experimental  student  projects  FH  Potsdam,  2010-­‐2011  
  • 93. Splendor   Viewpoints  of  a  City   Sebas+an  Schwinkendorf,   Ma8hias  Löwe  
  • 94. Splendor   Viewpoints  of  a  City   h8p://schwinki.de/splendor/  
  • 95. Emography   Feelings  of  a  city   Daniel  Palmér,   Robin  Rundkvist  
  • 96. LiteraryMap     Loca+on  based  literature  explora+on   Jan-­‐Erik  Stange  and   Sebas+an  Meier  
  • 97. lit.   h8p://lit.sebas+anmeier.eu/  
  • 98. Conscape   Concerts  in  a  city   Jeremias  Volker,  Florian   Schulz,  Julian  Stahnke  
  • 99. Conscape   Concerts  in  a  city   h8p://incom.org/projekt/1817  
  • 100. LiquidPhone   Movements  in  a  city   Gunnar  Friedrich,  Luis  Grass,   Christopher  Pietsch,  David   Ikuye,  Pierre  La  Baume  
  • 101. The  Naked  City   Guy  Debord,  1957  
  • 102. LiquidPhone   Movements  in  a  city  
  • 103. Tools  Tools  for  designers  
  • 104. OpenGeo  server  stack   The  Open  Planning  Project  
  • 105. CloudMade   h8p://cloudmade.com  
  • 106. GeoCommons  Unfolding   h8p://geocommons.com  
  • 107. IndieMapper   h8p://indiemapper.com/  
  • 108. Map  +les  in  your  visualiza+on  
  • 109. Unfolding   Map  library  for  Processing,  FH  Potsdam,  2011   Till  Nagel  
  • 110. Unfolding   Map  library  for  Processing,  FH  Potsdam,  2011   Till  Nagel  
  • 111. Conclusion  &  Outlook  
  • 112. 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.    
  • 113. 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.   •   Simpler  tools  are  needed.  
  • 114. Dotspodng  
  • 115. Live  Singapore  
  • 116. The  World’s  Eyes   MIT  Senseable  City  Lab,  2008  
  • 117. Thank  you!  Ques+ons?  h8p://idl.w-­‐potsdam.de   Till  Nagel,  FH  Potsdam,  06/2011   nagel@w-­‐potsdam.de    –    twi8er:  @+llnm  

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