The Geospatial Revolution ANZ 2010
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Latest iteration of my Geospatial Revolution talk that I've been using on my down under tour. Includes various cricket slides, probably comprehensible only to Aussies and Pommies :) !!
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The Geospatial Revolution ANZ 2010
- 1. The Geospatial Revolution Peter Batty December 2010 1
- 2. 2
- 3. The Revolution 3
- 4. 4
- 5. The changing nature of geospatial data 5
- 6. Crowdsourcing 6
- 8. The Revolution 8
- 9. GIS has been a specialized backroom technology for many years 9
- 10. Players Utility GIS Smallworld Intergraph ESRI Network modeling Scalability Customizability Utility focus Non-network apps “Mainstream” core New technologies 10
- 11. 11
- 12. flic.kr/p/7A6vVg 12
- 13. flic.kr/p/7NEJzF Location is now Pervasive and Simple in consumer applications flic.kr/p/7rnNAD 13
- 14. Disruptive technology Functionality / performance og y h nol d tec h e a blis Est Mainstream Market requirements lo gy chno tiv e te ru p Dis Time 14
- 15. Consumer driven innovation 15
- 16. “But these new systems are just simple web mapping, they’re not GIS” 16
- 17. Demo Offline 17
- 18. Mobile too! Runs on smart phones … and tablets including iPhone… including iPad 18
- 19. 19
- 20. flic.kr/p/7UjM5T 20
- 21. The changing nature of geospatial data 21
- 22. September 12, 2010 22
- 23. 23
- 24. 24
- 25. 25
- 26. 26
- 27. 27
- 28. 28
- 29. Microsoft Photosynth 29
- 30. Google Streetview 30
- 32. layar 32
- 33. Blaise Aguera y Arcas at TED 2010 Something on layar http://www.ted.com/talks/blaise_aguera.html 33
- 34. maps Manhattan 34
- 35. C3 Technologies Las Vegas 35
- 36. prototypegame.org Manhattan 36
- 37. The Sensor Web Need a spatial context to make sense of all this 37
- 38. Location sensing UWB GPS Wi-Fi RFID Cell towers 38
- 39. New TomTom traffic speed dataset derived from 600 billion speed readings from users real time data within 3 minutes flickr.com/photos/rutlo/3164449930/ 39
- 40. 40
- 41. 41
- 42. location based services are real at last! 42
- 43. Will have the ability to know where everything is - and what is happening - all the time 43
- 44. Crowdsourcing 44
- 45. Web Web 1.0 2.0 publishing participation 45
- 46. Wikipedia 46
- 47. Hurricane Katrina New Orleans 47
- 48. Community generated data scipionus.com 48
- 49. OpenStreetMap 49
- 50. December 3, 2007 Google OpenStreetMap July 7, 2009 50
- 51. 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/ 51
- 52. 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 52
- 53. Something on MapQuest / Microsoft OSM 53
- 54. 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) 54
- 55. Crowdsourcing is a paradigm shift for data creation flickr.com/photos/jamescridland/613445810/ 55
- 56. Running in the Cloud flic.kr/p/7Bzn5E 56
- 57. 57
- 58. This is an old Google data center (2005) Each container holds servers 1,160 This facility holds an estimated 150,000 servers 58
- 59. Google has an estimated 40 data centers… …holding an estimated 1 million servers 59
- 60. 3 billion searches per day 35,000 searches per second 60
- 61. 2 billion videos per day 61
- 62. 100 million monthly users 62
- 63. one zillion times more computer science PhDs than your company or mine has 63
- 64. HUGE economies of scale Google Amazon Your IT department 64
- 65. Save BIG!! flic.kr/p/64kFKH 65
- 66. EC2 Pricing September 5, 2010 66
- 67. My daily quotas (max $5 per day) 46.5 CPU hours 43.2m web requests! 6.5 CPU hours free 67
- 68. My total server costs for development of myWorld so far 13c 68
- 69. flic.kr/p/4iCux7 but is it SECURE??? 69
- 70. There is a strong case that your data is more secure in the cloud 70
- 71. Agility Google Maps had 400 releases in its first 4 years flic.kr/p/7BM8zr 71
- 72. Cloud benefits Ultra scalable Secure Major cost savings Hardware, admin, upgrades Much faster enhancements & fixes flic.kr/p/7Bzn5E 72
- 73. Summary 73
- 74. Fast train? flic.kr/p/7b5sKd 74
- 75. The changing nature of geospatial data 75
- 76. flic.kr/p/4vLS2o 76
- 77. 77
- 78. Cloud flic.kr/p/6aJDqo 78
- 79. 79
- 81. Backup Demo screen shots 81
- 82. Matches Smallworld styles 82
- 83. Google basemap gives context 83
- 84. Google satellite map 84
- 85. Display attribute data 85
- 86. Street View gives extra info 86
- 87. Street View gives extra info 87
- 88. Street View gives extra info 88
- 89. Google style one box search Something on “Google style search” 89
- 90. Autocomplete search 90
- 91. Autocomplete search 91
- 92. Reports in search too 92
- 93. Reports from search 93
- 94. Google geocoding very flexible 94
- 95. Google local search 95
- 96. “Enterprise mashups” Outages Trucks WMS CIS Smart Grid 96
- 97. Ability to link to maps 97
- 98. Click link, no software needed! Demo 98
- 99. Different Approaches to integration flic.kr/p/pWMRk 99
- 100. Sparse data Sparse data Trucks Outages Jobs Often don’t need detailed “GIS” maps KML and GeoRSS are good formats 100
- 101. 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> 101
- 102. 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> 102
- 103. You can use KML in lots of places KML uploaded to GeoCommons and used for thematic mapping 103
- 104. KML flic.kr/p/8eZBZk The Good Simple Good for sparse and dynamic data Works with multiple platforms / products 104
- 105. KML The Bad Hard to match GIS styles Hard to scale to large data volumes flic.kr/p/6hwSwn 105
- 106. Dense Data 106
- 107. 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 107
- 108. “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 108
- 109. 109
- 110. 110
- 111. 111
- 112. 112
- 113. 113
- 115. …/a2e/data/datasources/Pole/90974?f=gjson REST APIs: simple and powerful 115
- 116. …/a2e/data/datasources/Pole/search?f=gjson &lat=42.600&lon=-76.1780&d=4 116
- 117. REST is good!! <Picture of Jason> Jason Birch City of Nanaimo 117
- 118. “Neo GIS” examples 118
- 119. Cartography Andy Allan, Cloudmade 119
- 120. 120
- 121. Data creation and maintenance Upcoming Mapzen editor Cloudmade 121
- 122. Data creation and maintenance “Walking Papers” for OpenStreetMap Stamen Design Here’s a print of Chinatown, San Francisco. 122
- 123. Geospatial analysis Stamen Design 123
- 124. Geospatial analysis FortiusOne / GeoCommons 124
- 125. Usability flic.kr/p/kjwKm 125
- 126. Usability flic.kr/p/kjwKm 126
- 127. I highly recommend this book 127
- 128. My top 3 rules for good usability 1 Do usability testing 2 Do usability testing 3 Do usability testing 128
- 129. 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 129
- 130. 130
- 131. 131
- 132. Don’t make me think Krug’s first law of usability flic.kr/p/28o3cz 132
- 133. 133
- 134. 134
- 135. 135
- 136. 136
- 137. 137
- 138. 138
- 139. 139