NCGIC The Geospatial Revolution
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The document discusses the evolution of geospatial technology and its increasing integration into consumer applications, highlighting the shift from specialized GIS systems to more accessible, cloud-based mapping solutions. It emphasizes the significance of crowdsourcing, usability, and the changing nature of geospatial data, showcasing the impact of platforms like OpenStreetMap and various mapping technologies. Additionally, it outlines the advantages of cloud computing in providing scalability, security, and cost savings for geospatial data management.
NCGIC The Geospatial Revolution
- 1. The Geospatial Revolution Peter Batty September 13, 2010 NSGIC Conference, Minneapolis
- 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
- 9. GIS has been a specialized backroom technology for many years
- 11. flic.kr/p/7A6vVg
- 12. flic.kr/p/7NEJzF Location is now Pervasive and Simple in consumer applications flic.kr/p/7rnNAD
- 13. 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
- 15. “But these new systems are just simple web mapping, they’re not GIS”
- 18. Data creation and maintenance Upcoming Mapzen editor Cloudmade
- 19. Data creation and maintenance “Walking Papers” for OpenStreetMap Stamen Design
- 20. Geospatial analysis Stamen Design
- 21. Geospatial analysis FortiusOne / GeoCommons
- 23. flic.kr/p/7UjM5T
- 24. Demo Offline
- 25. Mobile too! Runs on smart phones … and tablets including iPhone… including iPad
- 26. Different Approaches to integration flic.kr/p/pWMRk
- 27. Sparse data Sparse data Trucks Outages Jobs Often don’t need detailed “GIS” maps KML and GeoRSS are good formats
- 28. 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>
- 29. 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>
- 30. You can use KML in lots of places KML uploaded to GeoCommons and used for thematic mapping
- 31. KML flic.kr/p/8eZBZk The Good Simple Good for sparse and dynamic data Works with multiple platforms / products
- 32. KML The Bad Hard to match GIS styles Hard to scale to large data volumes flic.kr/p/6hwSwn
- 33. Dense Data
- 34. 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
- 35. “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
- 42. …/a2e/data/datasources/Pole/90974?f=gjson REST APIs: simple and powerful
- 43. …/a2e/data/datasources//Pole/search?f=gjson &lat=42.600&lon=-76.1780&d=4
- 44. REST is good!! <Picture of Jason> Jason Birch City of Nanaimo
- 45. Usability flic.kr/p/kjwKm
- 46. I highly recommend this book
- 47. My top 3 rules for good usability 1 Do usability testing 2 Do usability testing 3 Do usability testing
- 48. 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
- 51. Don’t make me think Krug’s first law of usability flic.kr/p/28o3cz
- 60. Running in the Cloud flic.kr/p/7Bzn5E
- 61. This is an old Google data center (2005) Each container holds servers 1,160 This facility holds an estimated 150,000 servers
- 62. Google has an estimated 40 data centers… …holding an estimated 1 million servers
- 63. 3 billion searches per day 35,000 searches per second
- 64. 2 billion videos per day
- 65. 100 million monthly users
- 66. one zillion times more computer science PhDs than your company or mine has
- 67. HUGE economies of scale Google Amazon Your IT department
- 68. Save BIG!! flic.kr/p/64kFKH
- 69. EC2 Pricing September 5, 2010
- 70. My daily quotas (max $5 per day) 46.5 CPU hours 43.2m web requests! 6.5 CPU hours free
- 71. My total server costs for development of myWorld so far 13c
- 72. flic.kr/p/4iCux7 but is it SECURE???
- 73. There is a strong case that your data is more secure in the cloud
- 74. Agility Google Maps had 400 releases in its first 4 years flic.kr/p/7BM8zr
- 75. Cloud benefits Ultra scalable Secure Major cost savings Hardware, admin, upgrades Much faster enhancements & fixes flic.kr/p/7Bzn5E
- 76. The changing nature of geospatial data
- 82. layar
- 83. Blaise Aguera y Arcas at TED 2010 Something on layar http://www.ted.com/talks/blaise_aguera.html
- 84. maps Microsoft Virtual Earth Manhattan
- 85. C3 Technologies Las Vegas
- 86. prototypegame.org Manhattan
- 87. The Sensor Web Need a spatial context to make sense of all this
- 88. Location sensing UWB GPS Wi-Fi RFID Cell towers
- 89. New TomTom traffic speed dataset derived from 600 billion speed readings from users real time data within 3 minutes flickr.com/photos/rutlo/3164449930/
- 90. location based services are real at last!
- 91. Will have the ability to know where everything is - and what is happening - all the time
- 92. Crowdsourcing
- 93. Web Web 1.0 2.0 publishing participation
- 94. Wikipedia
- 95. Hurricane Katrina New Orleans
- 96. Community generated data scipionus.com
- 97. OpenStreetMap
- 98. December 3, 2007 Google OpenStreetMap July 7, 2009
- 100. 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/
- 101. 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
- 102. Something on MapQuest / Microsoft OSM
- 103. 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)
- 104. Crowdsourcing is a paradigm shift for data creation flickr.com/photos/jamescridland/613445810/
- 105. Summary
- 109. The changing nature of geospatial data
- 110. flic.kr/p/4vLS2o
- 115. Google basemap gives context
- 116. Google satellite map
- 118. Street View gives extra info
- 119. Street View gives extra info
- 120. Street View gives extra info
- 121. Google style one box search Something on “Google style search”
- 122. Ability to link to maps
- 123. Autocomplete search
- 124. Autocomplete search
- 125. Reports in search too
- 126. Reports from search
- 127. Google geocoding very flexible
- 128. Google local search
- 129. “Enterprise mashups” Outages Trucks WMS CIS Smart Grid
- 130. Ability to link to maps
- 131. Click link, no software needed! Demo