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

data driven neogeography
SMART_READER_LITE
LIVE PREVIEW

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


slide-1
SLIDE 1

Data-Driven Neogeography

Michal Migurski, Stamen Design BAAMA September 2011

1

slide-2
SLIDE 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

slide-3
SLIDE 3

3

slide-4
SLIDE 4

4

slide-5
SLIDE 5

5

slide-6
SLIDE 6

Who Are The Neogeographers?

6

slide-7
SLIDE 7

http://polymaps.org

Browsers First

7

slide-8
SLIDE 8

http://sta.mn/tw3

Don’t Get Projections

8

slide-9
SLIDE 9

http://sta.mn/n9y

Understand Web-Shaped Data

9

slide-10
SLIDE 10

Expanding Data Literacy

  • 1. People using passively-made data
  • 2. People consciously making new data
  • 3. Government making data reliable

10

slide-11
SLIDE 11

(a bottom-up story)

11

slide-12
SLIDE 12

People Using Passively-Made Data

12

slide-13
SLIDE 13

http://sta.mn/b84

Data Baby

IBM advertising campaign about passive data

13

slide-14
SLIDE 14

Boston Photo Colors

Andy Woodruff, 2011 http://sta.mn/t4h

14

slide-15
SLIDE 15

Building Maps Of “Data Exhaust”

15

slide-16
SLIDE 16

16

slide-17
SLIDE 17

Locals, Tourists

Eric Fischer, 2010 http://sta.mn/stq

17

slide-18
SLIDE 18

Maps That Show Aggregate Reality

18

slide-19
SLIDE 19

19

slide-20
SLIDE 20

Hope For Haiti

Stamen and MTV, January 2010 http://sta.mn/sryz

20

slide-21
SLIDE 21

Maps That Reflect Live Participation

21

slide-22
SLIDE 22

22

slide-23
SLIDE 23

Nike Grid Run

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

23

slide-24
SLIDE 24

24

slide-25
SLIDE 25

25

slide-26
SLIDE 26

Geodata To Keep Score

26

slide-27
SLIDE 27

27

slide-28
SLIDE 28

Curbside Input Device

28

slide-29
SLIDE 29

People Consciously Making New Data

29

slide-30
SLIDE 30

Alpha Shapes, Beta Shapes

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

30

slide-31
SLIDE 31

31

slide-32
SLIDE 32

32

slide-33
SLIDE 33

33

slide-34
SLIDE 34

34

slide-35
SLIDE 35

New Datasets, Derived From Actions

35

slide-36
SLIDE 36

36

slide-37
SLIDE 37

37

slide-38
SLIDE 38

OpenStreetMap

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

38

slide-39
SLIDE 39

39

slide-40
SLIDE 40

40

slide-41
SLIDE 41

http://sta.mn/4q

41

slide-42
SLIDE 42

Proactively Open Data

42

slide-43
SLIDE 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

slide-44
SLIDE 44

http://sta.mn/vc

44

slide-45
SLIDE 45

http://sta.mn/kk

45

slide-46
SLIDE 46

http://sta.mn/66

46

slide-47
SLIDE 47

Maptcha

Michal Migurski, 2011 http://maptcha.org

47

slide-48
SLIDE 48

48

slide-49
SLIDE 49

Better Browsers, Easier Participation

49

slide-50
SLIDE 50

50

slide-51
SLIDE 51

Government Making Data Reliable

51

slide-52
SLIDE 52

Oakland Crimespotting

Stamen, 2007 – Now http://sta.mn/sw

52

slide-53
SLIDE 53

http://sta.mn/4k

53

slide-54
SLIDE 54

http://sta.mn/sw

54

slide-55
SLIDE 55

http://sta.mn/sw

55

slide-56
SLIDE 56

http://sta.mn/sw

A New View Of Official Data

56

slide-57
SLIDE 57

http://sta.mn/sw

57

slide-58
SLIDE 58

http://sta.mn/sw

58

slide-59
SLIDE 59

Unofficial Modes Of Interaction

59

slide-60
SLIDE 60

60

slide-61
SLIDE 61

61

slide-62
SLIDE 62

62

slide-63
SLIDE 63

63

slide-64
SLIDE 64

Info Alameda County

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

64

slide-65
SLIDE 65

http://sta.mn/rww

API’s, But…

65

slide-66
SLIDE 66

“The Data Is The Public Good”

66

slide-67
SLIDE 67

The Passive, Active, Reliable Loop…

67

slide-68
SLIDE 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

slide-69
SLIDE 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

slide-70
SLIDE 70

Thank You.

Michal Migurski, Stamen Design BAAMA September 2011

70