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GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
GIS in the Rockies Geospatial Revolution
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GIS in the Rockies Geospatial Revolution

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GIS in the Rockies keynote presentation, September 15 in Loveland, CO. Much common content but slightly longer than the one I gave at NSGIC a couple of days previously.

GIS in the Rockies keynote presentation, September 15 in Loveland, CO. Much common content but slightly longer than the one I gave at NSGIC a couple of days previously.

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  1. The Geospatial Revolution Peter Batty September 15, 2010 GIS in the Rockies Conference, Loveland, CO
  2. 1 The Revolution
  3. Different Approaches to integration with Google et al 2 flic.kr/p/pWMRk
  4. 3 Usability flic.kr/p/kjwKm
  5. 4 The Cloud flic.kr/p/7Bzn5E
  6. The changing nature of geospatial data 5
  7. 6 Crowdsourcing
  8. The Revolution
  9. GIS has been a specialized backroom technology for many years
  10. flic.kr/p/7A6vVg
  11. flic.kr/p/7NEJzF Location is now Pervasive and Simple in consumer applications flic.kr/p/7rnNAD
  12. Disruptive technology Functionality / performance og y h nol d tec h e a blis Est Mainstream Market requirements lo gy chno e te ru ptiv Dis Time
  13. Consumer driven innovation
  14. “But these new systems are just simple web mapping, they’re not GIS”
  15. Cartography Andy Allan, Cloudmade
  16. Data creation and maintenance Upcoming Mapzen editor Cloudmade
  17. Data creation and maintenance “Walking Papers” for OpenStreetMap Stamen Design
  18. Geospatial analysis Stamen Design
  19. Geospatial analysis FortiusOne / GeoCommons
  20. flic.kr/p/7UjM5T
  21. Demo Offline
  22. Mobile too! Runs on smart phones … and tablets including iPhone… including iPad
  23. Different Approaches to integration flic.kr/p/pWMRk
  24. Sparse data Sparse data Trucks Outages Jobs Often don’t need detailed “GIS” maps KML and GeoRSS are good formats
  25. KML is child’s play! <?xml version="1.0" encoding="UTF-8"?> <kml xmlns="http://www.opengis.net/kml/2.2"> <Placemark> <name>Simple placemark</name> <description>Attached to the ground. Intelligently places itself at the height of the underlying terrain.</description> <Point> <coordinates>-122.0822035425683,37.42228990140251,0</coordinates> </Point> </Placemark> </kml>
  26. So is <entry> <title>M 3.2, Mona Passage</title> geoRSS <link href="http://example.org/2005/09/09/atom01"/> <id>urn:uuid:1225c695-cfb8-4ebb-aaaa-80da344efa6a</id> <updated>2005-08-17T07:02:32Z</updated> <summary>We just had a big one.</summary> <georss:point>45.256 -71.92</georss:point> </entry>
  27. You can use KML in lots of places KML uploaded to GeoCommons and used for thematic mapping
  28. KML flic.kr/p/8eZBZk The Good Simple Good for sparse and dynamic data Works with multiple platforms / products
  29. KML The Bad Hard to match GIS styles Hard to scale to large data volumes flic.kr/p/6hwSwn
  30. Dense Data
  31. Raster map tiles Pre-render maps into image files Approach used by Google, Microsoft, etc Very high performance and scalability Easy to integrate with Google Maps etc
  32. “If a dataset available on the web is in a format that can't be indexed by Google, does it make a sound?” Kevin Wiebe Safe Software
  33. …/a2e/data/datasources/Pole/90974 REST APIs
  34. …/a2e/data/datasources/Pole/90974?f=gjson REST APIs: simple and powerful
  35. …/a2e/data/datasources//Pole/search?f=gjson &lat=42.600&lon=-76.1780&d=4
  36. REST is good!! <Picture of Jason> Jason Birch City of Nanaimo
  37. Usability flic.kr/p/kjwKm
  38. I highly recommend this book
  39. My top 3 rules for good usability 1 Do usability testing 2 Do usability testing 3 Do usability testing
  40. Doing a usability test Put application in Shut up Watch front of user flic.kr/p/7UqPo1 flic.kr/p/53WUkg flic.kr/p/72M6L
  41. Don’t make me think Krug’s first law of usability flic.kr/p/28o3cz
  42. Running in the Cloud flic.kr/p/7Bzn5E
  43. This is an old Google data center (2005) Each container holds servers 1,160 This facility holds an estimated 150,000 servers
  44. Google has an estimated 40 data centers… …holding an estimated 1 million servers
  45. 3 billion searches per day 35,000 searches per second
  46. 2 billion videos per day
  47. 100 million monthly users
  48. one zillion times more computer science PhDs than your company or mine has
  49. HUGE economies of scale Google Amazon Your IT department
  50. Save BIG!! flic.kr/p/64kFKH
  51. EC2 Pricing September 5, 2010
  52. My daily quotas (max $5 per day) 46.5 CPU hours 43.2m web requests! 6.5 CPU hours free
  53. My total server costs for development of myWorld so far 13c
  54. flic.kr/p/4iCux7 but is it SECURE???
  55. $24.5bn 2009 revenue
  56. 4th fastest growing company in Fortune top 100, 2010
  57. 170 million users, Feb 2010
  58. “Government’s record year of data loss” Daily Telegraph, UK, 2008 The biggest single loss was in November when Alistair Darling, the Chancellor, revealed two CDs with Last February it emerged 80 personal details of 25 million child passports are lost in the post benefit claimants and their parents had every month. gone missing in the post. Last month, CDs with personal Three weeks ago Ruth Kelly, the information on thousands of Transport Secretary, admitted that the benefit claimants were found at details of three million learner drivers the home of a former had gone missing when a hard drive contractor to the Department was lost in Iowa. of Work and Pensions. http://bit.ly/c1ry5s
  59. There is a strong case that your data is more secure in the cloud
  60. Agility Google Maps had 400 releases in its first 4 years flic.kr/p/7BM8zr
  61. Cloud benefits Ultra scalable Secure Major cost savings Hardware, admin, upgrades Much faster enhancements & fixes flic.kr/p/7Bzn5E
  62. The changing nature of geospatial data
  63. September 12, 2010
  64. Microsoft Photosynth
  65. Google Streetview
  66. Microsoft “Street Slide” http://bit.ly/streetside
  67. layar
  68. Blaise Aguera y Arcas at TED 2010 Something on layar http://www.ted.com/talks/blaise_aguera.html
  69. maps Manhattan
  70. C3 Technologies Las Vegas
  71. prototypegame.org Manhattan
  72. The Sensor Web Need a spatial context to make sense of all this
  73. Location sensing UWB GPS Wi-Fi RFID Cell towers
  74. New TomTom traffic speed dataset derived from 600 billion speed readings from users real time data within 3 minutes flickr.com/photos/rutlo/3164449930/
  75. location based services are real at last!
  76. Will have the ability to know where everything is - and what is happening - all the time
  77. Crowdsourcing
  78. Web Web 1.0 2.0 publishing participation
  79. Wikipedia
  80. Hurricane Katrina New Orleans
  81. Community generated data scipionus.com
  82. OpenStreetMap
  83. December 3, 2007 Google OpenStreetMap July 7, 2009
  84. 200,000+ 300,000+ users 24m km of highways crazy 34m km of ways momentum!! OSM stats from May 2009 NAVTEQ had 18m km of highways in Dec 2007 flickr.com/photos/pimpmasterjazz/2601898276/
  85. What about quality? Dr Muki Haklay of UCL “OSM quality is beyond good enough, it is a product that can be used for a wide range of activities” Based on a detailed analysis http://tinyurl.com/mukiosm
  86. January 31, 2009
  87. Haiti - January 12, 2010
  88. Haiti - January 14, 2010
  89. Haiti - January 26, 2010
  90. Damage Assessment
  91. 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.
  92. Something on MapQuest / Microsoft OSM
  93. Database 2007 data 69 countries 11m miles (18m km) of roads 18m points of interest People “Creating, maintaining and delivering a comprehensive, high quality map database is a Field force 700 multi-step, labor-intensive process. We Central production 270 currently employ over 270 employees in our centralized production facility and a global Technology 500 workforce of over 700 geographic analysts in 32 countries” Total 3349 Financial Revenue $853m (~€604m) Data creation & distribution costs $396m (~€280m)
  94. Crowdsourcing is a paradigm shift for data creation flickr.com/photos/jamescridland/613445810/
  95. Summary
  96. Fast train? flic.kr/p/7b5sKd
  97. Usability / simplicity flic.kr/p/3guaAu
  98. Cloud flic.kr/p/6aJDqo
  99. The changing nature of geospatial data
  100. flic.kr/p/4vLS2o
  101. ? peter.batty@ubisense.net geothought.blogspot.com twitter.com/pmbatty
  102. Backup Demo screen shots
  103. Matches Smallworld styles
  104. Google basemap gives context
  105. Google satellite map
  106. Display attribute data
  107. Street View gives extra info
  108. Street View gives extra info
  109. Street View gives extra info
  110. Google style one box search Something on “Google style search”
  111. Ability to link to maps
  112. Autocomplete search
  113. Autocomplete search
  114. Reports in search too
  115. Reports from search
  116. Google geocoding very flexible
  117. Google local search
  118. “Enterprise mashups” Outages Trucks WMS CIS Smart Grid
  119. Ability to link to maps
  120. Click link, no software needed! Demo

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