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Data-Driven Neogeography Michal Migurski, Stamen Design BAAMA - PowerPoint PPT Presentation

Data-Driven Neogeography Michal Migurski, Stamen Design BAAMA September 2011 1 Stamen Eric Rodenbeck Michal Migurski (me) Shawn Allen Geraldine Sarmiento Jeff Easter Nate Kelso Rachel Binx Sean Connelly Aaron Cope Bill Conneelly


  1. Data-Driven Neogeography Michal Migurski, Stamen Design BAAMA September 2011 1

  2. Stamen Eric Rodenbeck Michal Migurski (me) Shawn Allen Geraldine Sarmiento Jeff Easter Nate Kelso Rachel Binx Sean Connelly Aaron Cope Bill Conneelly Julie Bottrell 2

  3. 3

  4. 4

  5. 5

  6. Who Are The Neogeographers? 6

  7. http://polymaps.org Browsers First 7

  8. http://sta.mn/tw3 Don’t Get Projections 8

  9. http://sta.mn/n9y Understand Web-Shaped Data 9

  10. Expanding Data Literacy 1. People using passively-made data 2. People consciously making new data 3. Government making data reliable 10

  11. (a bottom-up story) 11

  12. People Using Passively-Made Data 12

  13. http://sta.mn/b84 Data Baby IBM advertising campaign about passive data 13

  14. Boston Photo Colors Andy Woodruff, 2011 http://sta.mn/t4h 14

  15. Building Maps Of “Data Exhaust” 15

  16. 16

  17. Locals, Tourists Eric Fischer, 2010 http://sta.mn/stq 17

  18. Maps That Show Aggregate Reality 18

  19. 19

  20. Hope For Haiti Stamen and MTV, January 2010 http://sta.mn/sryz 20

  21. Maps That Reflect Live Participation 21

  22. 22

  23. Nike Grid Run Stamen, Wieden + Kennedy, and Nike, 2010 http://sta.mn/dr 23

  24. 24

  25. 25

  26. Geodata To Keep Score 26

  27. 27

  28. Curbside Input Device 28

  29. People Consciously Making New Data 29

  30. Alpha Shapes, Beta Shapes Aaron Cope + Flickr, 2008 http://sta.mn/52g Schuyler Erle + Simplegeo, 2011 http://sta.mn/s5r 30

  31. 31

  32. 32

  33. 33

  34. 34

  35. New Datasets, Derived From Actions 35

  36. 36

  37. 37

  38. OpenStreetMap Worldwide Volunteer Community, 2004 – Now http://osm.org 38

  39. 39

  40. 40

  41. http://sta.mn/4q 41

  42. Proactively Open Data 42

  43. Coase’s Penguin “When a project of any size is broken up into little pieces, each of which can be performed by an individual in a short amount of time, the motivation to get any given individual to contribute need only be very small.” —Yochai Benkler 43

  44. http://sta.mn/vc 44

  45. http://sta.mn/kk 45

  46. http://sta.mn/66 46

  47. Maptcha Michal Migurski, 2011 http://maptcha.org 47

  48. 48

  49. Better Browsers, Easier Participation 49

  50. 50

  51. Government Making Data Reliable 51

  52. Oakland Crimespotting Stamen, 2007 – Now http://sta.mn/sw 52

  53. http://sta.mn/4k 53

  54. http://sta.mn/sw 54

  55. http://sta.mn/sw 55

  56. http://sta.mn/sw A New View Of Official Data 56

  57. http://sta.mn/sw 57

  58. http://sta.mn/sw 58

  59. Unofficial Modes Of Interaction 59

  60. 60

  61. 61

  62. 62

  63. 63

  64. Info Alameda County Alameda, Urban Strategies Council, 2011 http://sta.mn/56 64

  65. http://sta.mn/rww API’s, But… 65

  66. “The Data Is The Public Good” 66

  67. The Passive, Active, Reliable Loop… 67

  68. “When a hurricane makes landfall, the head of the Federal Emergency Management Agency relies on a couple of metrics to assess its destructive power. First, there is the well-known Saffir-Simpson Wind Scale. Then there is what he calls the ‘Waffle House Index.’ ‘If you get there and the Waffle House is closed?’ FEMA Administrator Craig Fugate has said. ‘That’s really bad. That’s where you go to work.’” 68

  69. Expanding Data Literacy Means: 1. Passive data will be more broadly useful 2. It will be easier to solicit new active data 3. Official sources are best as a predictable good 69

  70. Thank You. Michal Migurski, Stamen Design BAAMA September 2011 70

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