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The Geospatial Revolution ANZ 2010
The document discusses the geospatial revolution and the evolution of geospatial data, emphasizing the impact of mainstream technologies and crowdsourcing on GIS applications. It highlights the shift toward location-based services and the increasing role of the cloud in data management and scalability. The document also touches on data quality concerns and the growing importance of user-generated data in map creation.
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The Geospatial Revolution ANZ 2010
- 1. The Geospatial Revolution Peter Batty December 2010 1
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- 5. The changing nature of geospatial data 5
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- 9. GIS has beena 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
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- 13. flic.kr/p/7NEJzF Location isnow 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
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- 16. “But these new systems are just simple web mapping, they’re not GIS” 16
- 17. Demo Offline 17
- 18. Mobile too! Runs onsmart phones … and tablets including iPhone… including iPad 18
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- 21. The changing natureof geospatial data 21
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- 32. layar 32
- 33. Blaise Aguera yArcas at TED 2010 Something on layar http://www.ted.com/talks/blaise_aguera.html 33
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- 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
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- 42. location based services are real at last! 42
- 43. Will have theability to know where everything is - and what is happening - all the time 43
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- 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
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- 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 aparadigm shift for data creation flickr.com/photos/jamescridland/613445810/ 55
- 56. Running in the Cloud flic.kr/p/7Bzn5E 56
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- 58. This is anold Google data center (2005) Each container holds servers 1,160 This facility holds an estimated 150,000 servers 58
- 59. Google has anestimated 40 data centers… …holding an estimated 1 million servers 59
- 60. 3 billion searches perday 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 servercosts for development of myWorld so far 13c 68
- 69. flic.kr/p/4iCux7 but is it SECURE??? 69
- 70. There is astrong 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
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- 75. The changing nature of geospatial data 75
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- 83. Google basemap givescontext 83
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- 86. Street View givesextra info 86
- 87. Street View givesextra info 87
- 88. Street View givesextra info 88
- 89. Google style onebox search Something on “Google style search” 89
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- 92. Reports in searchtoo 92
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- 94. Google geocoding veryflexible 94
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- 96. “Enterprise mashups” Outages Trucks WMS CIS Smart Grid 96
- 97. Ability to linkto maps 97
- 98. Click link, nosoftware 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 useKML 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-rendermaps 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 datasetavailable on the web is in a format that can't be indexed by Google, does it make a sound?” Kevin Wiebe Safe Software 108
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- 115. …/a2e/data/datasources/Pole/90974?f=gjson REST APIs: simpleand 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
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- 121. Data creation andmaintenance Upcoming Mapzen editor Cloudmade 121
- 122. Data creation andmaintenance “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 thisbook 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 usabilitytest Put application in Shut up Watch front of user flic.kr/p/7UqPo1 flic.kr/p/53WUkg flic.kr/p/72M6L 129
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- 132. Don’t make methink Krug’s first law of usability flic.kr/p/28o3cz 132
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