Cities: Input / Output, Thursday Night Lectures

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Part of the Thursday Night Lecture series from the Faculty of Architecture, Design and Planning http://sydney.edu.au/architecture/tnl/ at the University of Sydney.

We spoke about the relationship between data, maps, people, and data visualisation in understanding cities and how – as organisations with data and citizens who demand data, we should use open data practices to make data accessible, and datavis to create insight and understanding.

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Cities: Input / Output, Thursday Night Lectures

  1. 1. CITY: INPUT / OUTPUTFACULTY OF ARCHITECTURE, DESIGN & PLANNINGTHURSDAY NIGHT LECTURE SERIES 2013
  2. 2. Andrea LauCo-FounderDesignerCoderEmma CheeDesignerJames HiscockCoderJack ZhaoCo-FounderDesignerCoderFrançois RobichetCoder2
  3. 3. 3MAPS
  4. 4. HTTP://WWW.PHOTOSAU.COM.AU/COSMAPS/MAPS/PDF/C19/1887%20SANDS%20DIRECTORY%20MAP%20OF%20SYDNEY.PDF4
  5. 5. 5
  6. 6. 6 HTTP://WWW.RESOURCES.NSW.GOV.AU/GEOLOGICAL/ONLINE-SERVICES/MINVIEW
  7. 7. HTTP://FLIGHTAWARE.COM/LIVE/AIRPORT_STATUS_BIGMAP.RVT?AIRPORT=YSSY7
  8. 8. WHERE DO TOURISTS GO, ERIC FISCHER, HTTP://WWW.FLICKR.COM/PHOTOS/WALKINGSF/4672149966/IN/SET-721576242091586328
  9. 9. HTTP://MAPS.STAMEN.COM/9
  10. 10. 10 HTTP://SMALL.MU/WORK/SNEPO-GOTCHA-DATA-VISUALISATION-VIDEO/ HTTPS://VIMEO.COM/32542197
  11. 11. CASINO BUS MAP, HTTP://SMALL.MU/WORK/WHERE-CASINO-PICKS-UP-PUNTERS-INTERACTIVE-MAPS/11SPEAK ENGLISH ONLY LANGUAGES OTHER THAN ENGLISHSTAR CASINO BUSES
  12. 12. 12CENSUS
  13. 13. STATISTICAL REPRESENTATIONS FROM POPULAR TEXTS FOR THE ORDINARY CITIZEN, 1889–1914 | MARIJA DALBELLO4, ANSELM SPOERRI13
  14. 14. HTTP://WWW.NYTIMES.COM/INTERACTIVE/2011/06/23/NYREGION/NEW-YORK-ASIANS.HTML?_R=014
  15. 15. 15AUSTRALIAN CENSUS DATA
  16. 16. SBS CENSUS EXPLORER HTTP://WWW.SBS.COM.AU/CENSUS/16MANDARIN ITALIANITALIANMANDARINSBS CENSUS EXPLORER
  17. 17. 17INPUTS
  18. 18. 18RESTAURANT REVIEWSGEOLOCATED BLOG POSTSPARLIAMENT MINUTESSHOPPING CENTRESSUPERMARKETSCAR PARKING AND FINESCOUNCIL PLANTINGLOCATION-BASED DATAEVENTS AND ATTENDANCEFOURSQUARE CHECK-INSCRIME REPORTSLOCAL NEWSHISTORICAL MAPSPLANNING PROPOSALSSEISMIC ACTIVITYMENTIONS IN FILMSURF CONDITIONSTWEETSOFFICIAL GOVERNMENT CENSUS DATACORPORATE DATAWEATHER DATAPUBLIC TRANSPORTTAXISENERGY COMPANY DATADATA COLLECTED BY SCHOOLSROADS AND TRAFFIC AUTHORITY DATAPOLLUTION SENSORSANIMAL DIVERSITY DATAAPPSWATER SYSTEMSPEAK ELECTRICITY USAGEFOOTBALL CLUBSRECYCLING DEPOTSCOUNCIL RATES
  19. 19. 19INDIVIDUAL SUBURB LGA ELECTORATE AREA CITY STBLOCK
  20. 20. GEOSPATIAL “MINING MAP” PRECEDENTS PROPOSAL, SMALL MULTIPLES20DATA COLLECTION IS BECOMING UBIQUITOUS
  21. 21. HTTP://WWW.FITBIT.COM/AU HTTP://CUBESENSORS.COM/21
  22. 22. HTTP://WWW.KICKSTARTER.COM/PROJECTS/SEARCH?TERM=SENSOR22
  23. 23. 23PROBLEMS
  24. 24. 24“Ordinary people arerelentlessly spied on,and not compensatedfor information takenfrom them.”- Jaron Lanier“...gather data from the network, often without having topay for it. The data is analysed using the most powerfulavailable computers, run by the very best availabletechnical people. The results of the analysis are keptsecret, but are used to manipulate the rest of the world toadvantage.”“Information supremacy for one company becomes, as a matterof course, a form of behaviour modification of the rest ofthe world.”
  25. 25. READYPLAYERONE.COM25A DYSTOPIC FUTURE?
  26. 26. 26
  27. 27. SUPERSERVERSEVERYONEELSE27
  28. 28. 28SOLUTIONS
  29. 29. 291. OPEN DATA
  30. 30. HTTP://JAPAN.FAILEDROBOT.COM/ HTTP://WWW.BBC.CO.UK/PROGRAMMES/P00FVKXF#SYNOPSIS30FUKUSHIMA: DIY GEIGER COUNTER
  31. 31. OPEN STREET MAPS, HTTPS://VIMEO.COM/4891975931OPEN STREET MAP
  32. 32. HTTP://DATA.GOV.AU/32
  33. 33. HTTP://DEVELOPER.NYTIMES.COM/DOCS/READ/ARTICLE_SEARCH_API_V233
  34. 34. HTTP://WWW.KAGGLE.COM/34
  35. 35. OPENAUSTRALIA.ORG/35
  36. 36. HTTPS://SCRAPERWIKI.COM/36
  37. 37. 372. DATA VISUALISATION
  38. 38. GEOSPATIAL “MINING MAP” PRECEDENTS PROPOSAL, SMALL MULTIPLES38DATA VISUALISATION CAN SAVE THE WORLD
  39. 39. JON SNOW39
  40. 40. GEOSPATIAL “MINING MAP” PRECEDENTS PROPOSAL, SMALL MULTIPLES40JOHN SNOW
  41. 41. 41 HTTP://EN.WIKIPEDIA.ORG/WIKI/FILE:SNOW-CHOLERA-MAP-1.JPG
  42. 42. HTTP://NEWSWATCH.NATIONALGEOGRAPHIC.COM/2012/07/02/CRISIS-MAPPING-HAITI/ HTTP://COMMUNITY.USHAHIDI.COM/INDEX.PHP/DEPLOYMENTS/DEPLOYMENT/HAITI-CRISIS-MAP42CRISIS MAPPING
  43. 43. HTTP://WWW.YOUTUBE.COM/WATCH?V=IE21IGJQ4DA43
  44. 44. HTTP://MORITZ.STEFANER.EU/PROJECTS/MAP%20YOUR%20MOVES/44
  45. 45. HTTP://WWW.OECDBETTERLIFEINDEX.ORG/#/3244443442345
  46. 46. HTTP://GDP.NFB.CA/INTRO46
  47. 47. HTTP://WWW.HIGHWATERLINE.ORG/47
  48. 48. HTTPS://OPEN.ABC.NET.AU/PROJECTS/NOW-AND-THEN-14TM2SH/48
  49. 49. 49 HTTP://BIGTHINK.COM/STRANGE-MAPS/524-HERE-BE-BOGANS-FOUR-MINIATURES-OF-SYDNEY-STEREOTYPES
  50. 50. PULSE49 OFFICE TOWERSENERGY BREAKDOWN EVERY 15 MINUTESHTTP://WWW.INVESTA.COM.AU/OFFICE/INVESTA-FROM-ABOVE/50
  51. 51. HTTP://WWW.GREENBUILDINGSALIVE.COM/DATATOOLS/PULSE/51
  52. 52. 52HOW?
  53. 53. JER THORP, APRIL 3 2013, HTTP://BLOGS.HBR.ORG/CS/2013/04/VISUALIZATION_AS_PROCESS.HTML53"Please make me a visualisation."- Jer Thorp
  54. 54. JER THORP, APRIL 3 2013, HTTP://BLOGS.HBR.ORG/CS/2013/04/VISUALIZATION_AS_PROCESS.HTML54"Please make me a visualisation."sandwich- Jer Thorp
  55. 55. 55A BETTER APPROACH
  56. 56. JER THORP, APRIL 3 2013, HTTP://BLOGS.HBR.ORG/CS/2013/04/VISUALIZATION_AS_PROCESS.HTML56"Please visualise our data."
  57. 57. JER THORP, APRIL 3 2013, HTTP://BLOGS.HBR.ORG/CS/2013/04/VISUALIZATION_AS_PROCESS.HTML57"Please visualise our data."solutionsnew ideasbetter questions
  58. 58. 58OUR WORKFLOW
  59. 59. SMALL MULTIPLES PROCESS59
  60. 60. 60CITIES NEEDOPEN DATA = OWNERSHIPDATA VISUALISATION = PROCESS
  61. 61. 61SMALL MULTIPLESinfo@small.muhttp://small.mu

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