The Geospatial Revolution in Copenhagen
- 1. The Geospatial
Revolution
Peter Batty
Ubisense
KMS
Copenhagen, March 25, 2010
1
- 2. Overview
• Mainstream at last!
• A real-time, multimedia view of the world
• Data sharing
• Crowdsourcing
• Economics / business models
2
- 3. GIS was a specialized backroom
technology for many years
3
- 4. “1995: the year that GIS disappeared”
Doug Seaborn
AM/FM conference, 1992
4
- 5. Disruptive technology
Functionality / lo gy
performance c hno
he d te
bl is
E sta Mainstream
Market
requirements
lo gy
chno
e te
ru ptiv
Dis
Time
5
- 6. Now much easier to
include location data
Free or cheap Location
Geocoding
map data tracking
6
- 9. Geo moving to
the mainstream
1996 MapQuest
2005 Google Earth
(Keyhole)
2005 Google Maps
9
- 10. Fun and cool
Performance
Ease of use
API
Continued innovation
10
- 13. “But these new systems are just simple
web mapping, they’re not GIS”
13
- 17. Data creation and maintenance
“Walking Papers” for OpenStreetMap Stamen Design
Here’s a print of Chinatown, San Francisco. 17
- 30. The Sensor Web
Need a spatial context to
make sense of all this
30
- 32. New TomTom traffic speed dataset
derived from
600 billion
speed readings from users
real time data within
3 minutes
flickr.com/photos/rutlo/3164449930/
32
- 34. Smart Grid
“The Internet brought to our electric system”
Storage Renewable Energy
Demand Response Intelligent devices and
control systems
34
- 35. Will have the ability to know where everything is
- and what is happening - all the time
35
- 37. Geodata standards
KML
GML
geoRSS
WMS Shape
geoJSON WFS
Lightweight Heavyweight
Mashups OGC*
Google Search Portals
37
- 38. Clemens Portele
at Geoweb 2009
“So far the impact of SDIs on the integration of data as a
ubiquitous component of the web seems low”
“There is not evidence that SDIs have increased the
market volume of government data by significant amount”
38
- 39. Clemens Portele
at Geoweb 2009
“Current OGC standards are only really accessible to geo
experts, not easily from broader web community”
“OGC web services based largely on an architecture and
approach to web services developed 10 years ago”
39
- 40. 3 rules for evolvable systems
Only solutions that produce partial results
when partially implemented can succeed
What is, is wrong
Orgel's Rule: "Evolution is
cleverer than you are".
Evolvable
Centrally designed
Clay Shirky, 1996
shirky.com/writings/evolve.html
40
- 41. “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
41
- 51. Web Web
1.0 2.0
publishing participation
51
- 57. Denver, CO Denver, CO
USA USA
“Mousetrap” junction
of I-25 and I-70
Cape Royal
Grand Canyon, AZ Cropston
USA England
57
- 58. 200,000+ 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/
58
- 59. 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
59
- 62. “The future is user
created data” Google MapMaker
Michael Jones, Google
62
- 64. 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)
64
- 65. Crowdsourcing is a paradigm shift for data creation
flickr.com/photos/jamescridland/613445810/
65
- 71. UK Government advised
by Sir Tim Berners Lee
Ordnance Survey medium
and small scale data to be free
(Details being worked out)
71
- 72. “Our taxes fund the collection of public data -
yet we have to pay again to access it. [Make] it
freely available to stimulate innovation”
The Guardian “Free Our Data” web site
72
- 73. sadly it’s not that simple ...
Taxes only pay half of the costs (in UK)
Costs are ongoing, not one off
Many competing priorities for tax money
All geodata is not equal
Commercial companies can profit
73
- 75. I think we should raise taxes
or cut spending on schools to
do better mapping
75
- 79. The US situation
No large scale “national map”
Utilities and local governments map themselves
Most cities are mapped many times
Significant map inconsistencies
flickr.com/photos/izik/3215303355/
79
- 80. National Mapping
Agencies!
Cost!
Good product
but expensive!
Free or cheap but
product lacking!
We want to be
here ... !
Product!
80
- 82. ?
peter@ebatty.com
geothought.blogspot.com
twitter.com/pmbatty
82