Slides from The Future of the Map, a session at the 2011 Nonprofit Technology Conference.

1. The Future of the Map
#11ntcmap
Live notes: http://bit.ly/ntc-map
Pre-session survey:
http://bit.ly/mapntc
Rob Baker
Elliot Harmon
Steve Spiker
Andrew Turner

2. Introduction
Case Studies
Live Demonstrations
Finding Public Data
Budgeting and Staffing
Q&A

3. Pre-session survey:
http://bit.ly/mapntc

4. Introduction
Case Studies
Live Demonstrations
Finding Public Data
Budgeting and Staffing
Q&A

5. Demolitions
http://www.flickr.com/photos/culturesubculture/339185196/

6. Green Dot Map

7. Community Broadmoor

8. Community Meetings Demolitions
http://www.flickr.com/photos/karenapricot/2894170436/

9. Community Mid-City

10. Newspapers Demolitions

11. from Newspaper Listings
http://www.cityofno.com/portal.aspx?tabid=118

12. to Spreadsheets
http://thinknola.com/permits/2008.html
http://blogometer.com/post/editgrid-zero-to-six

13. to Maps
http://www.squanderedheritage.com/2008/01/13/google-maps/

14. to Blog Posts
http://jefflamb.wordpress.com/2008/09/22/1431-annette/

15. to Flickr Photos

16. Taylor’s 1924 Map

18. photo: Dave Warner
Social Data Cultivation

19. Jalalabad, Afghanistan
Photo Courtesy Todd Huffman

20. Haiti - January 12, 2010

21. Haiti - January 14, 2010

22. Haiti - January 26, 2010

23. GeoEye Imagery

24. Crowd-Sourced
Damage Assessment

25. I am currently in Port Au Prince with
the Fairfax County Urban Search &
Rescue Team (USA-1) out of Fairfax,
VA, USA. I wish there was a way that I
can express to you properly how
important your OSM files were to us.

26. SMS
Sensors
Spreadsheet
Feeds
KML
Satellite
imagery
UAV
imagery

27. Common Operating
http://news.geocommons.com
Pictures (COP)

28. Medical Infrastructure

29. The Future of Mapping
Andrew Turner - CTO GeoIQ
andrew@geoiq.com
@ajturner
http://highearthorbit.com

30. hello

32. © IFRC

33. © UN Photo

34. © Democracy International

35. © IFRC

36. © Chris Blow

37. Dots on a map:
not good enough.

39. GOAL
Operational,
not observational.

40. Mapping in the Media Space

43. Citizen Haiti

44. Mapping Humanitarian
Response & Development

45. © Sharon Davis

46. © Digital Globe

47. Expectations are changing.

48. Humanitarian
Understand & adapt
to the existing response
capacity, work ow,
and infrastructure.

49. Media
Greater support for
multimedia: geo-locating
photos, videos, & audio

50. Overall
Connect to people,
not issues.

51. Thank you
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52. Case Study #3: Foreclosure
Response Strategy

53. #1 ‐ Identify the Problem

54. #2 ‐ Understand the Problem

55. Different Types of REOs
Require Different Strategies

56. # 3 – Make your case
A picture is worth?
•Tells a story
•Hopefully the truth
•Provides context
•Empowers

57. #4 ‐ Use what you know

58. #5 More Context for
better planning &
decision making

59. #6 ‐ Implementation

60. #7 – Management and Evaluation
Before… After…

61. Introduction
Case Studies
Live Demonstrations
Finding Public Data
Budgeting and Staffing
Q&A

62. Introduction
Case Studies
Live Demonstrations
Finding Public Data
Budgeting and Staffing
Q&A

63. Dude, where’s my data?
• How to get what you need?
– Discover
– Buy
– Scrape
– Collect (DIY)
– Beg
(in order of decreasing desirability)

64. Dude, where’s my (public) data?
Easy Hard

65. Dude, where’s my (Federal) data?
• Enviro? Global Land Cover:
http://glcfapp.glcf.umd.edu:8080/esdi/index.jsp
• People? US Census (Don’t mention the ACS):
http://2010.census.gov
• Education: National Center for Ed Stats:
http://nces.ed.gov/ccd/elsi/default.aspx
• GIS Data: Geodata.gov
http://gos2.geodata.gov
• Nonprofits? National Center for Charitable Stats:
http://nccs.urban.org/

66. Dude, where’s my (State/County) data?
• State operated Spatial Data Clearinghouses
(Cal‐Atlas http://www.atlas.ca.gov/download.html)
• State Agencies
• Regional Planning Agencies
• University Planning and Geography Depts

67. Dude, where’s my (local) data?
• City or County agencies – often require MOU
• Foundations
• Private companies (Claritas, FARES)
• Open Street Map
• Local web mapping tools (Policymap, Healthy
City)
• Community surveys – a last resort proxy

68. Dude, where’s my (shared) data?
• Geocommons
• NNIP – National neighborhood Partnership
(34 cities)
• If you benefit from Open Data, support it!
• Share and share alike (ala Creative Commons)

69. How would you like your data?

70. Introduction
Case Studies
Live Demonstrations
Finding Public Data
Budgeting and Staffing
Q&A

71. GIS Budgeting & Staffing #2
• Example: Planning a Foreclosure Analysis
1.Data costs
2.Software/Hardware
3.Staff & Time

72. Data Acquisition Costs
• Monthly foreclosure data (private)=
$150x6months=$900
• Property database (county) = $50.00 ‐
$100,000 (seriously)
• Background maps (OSM) = $0

73. Gadget Costs
• Hardware
– small project – desktop PC, dual monitors = $1,000
– Regular, larger projects – data/database server
$5,000
• Software
– No budget? Open Source uDig, QGIS, web tools = $0
– Enterprise GIS tools: ArcGIS via techsoup = $175
– Need more? ESRI Conservation grants = 90%
discounts

74. Staffing
• Who should do your mapping?
– Planners
– Geographers
– Sociologist
– Epidemiologists
– Former surveyors
– Tech folks?
– On the job v degree v post grad?

75. Time Costs
• Obtain data (6 hrs)= $600
• Clean, process data (12 hours)= $1,200
• Geocode data (5 hours)= $500
• Analyze & map data (12 hours)= $1,200
• Prepare outputs (4 hours)=$400
• Total staff costs @ $100/hr = $3,900

76. Project Budgets
• Single project, lightweight, open source
= $5,850
• Same project, modest data costs and software
= $9,000

77. Introduction
Case Studies
Live Demonstrations
Finding Public Data
Budgeting and Staffing
Q&A

78. Session Evaluation
Each entry via text or web is a chance to win
great NTEN prizes throughout the day!
TEXT ONLINE
Text 11NTCmap to 69866. Use 11NTCmap at
http://nten.org/ntc/eval
Session Evaluations
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