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Keynote presentation on "The Geospatial Revolution" given at the NSGIC conference in Minneapolis, September 13, 2010.
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The Geospatial Revolution
Peter Batty
September 13, 2010NSGIC Conference, Minneapolis
The Revolution
1
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Different Approachesto integration with
Googleet al
2
Usability
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3
The Cloud
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4
changing natureof geospatial data
The
5
Crowdsourcing
6
The Revolution
GIS has been a specialized backroom technology for many years
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Location is now
Pervasive and Simplein consumer applications
Disruptive technology
Functionality /performance
Time
Established technology
Disruptive technology
MainstreamMarketrequirements
Consumer driven innovation
“But these new systems are just
simple web mapping, they’re not GIS”
Cartography
Andy Allan, Cloudmade
Data creation and maintenance
Upcoming Mapzen editorCloudmade
Here’s a print of Chinatown, San Francisco.
Instead of gargoyles, we’re using more appropriate bits of icon and text to recognize the corners.
Here you can see that someone has walked around Green Street and noted address information and a few businesses.
This is not information that you’d be able to get from a satellite image.
It’s also information that don’t really need a GPS for: the roads are already in place, but they need extra eye-level information.
Data creation and maintenance
“Walking Papers” for OpenStreetMap Stamen Design
Geospatial analysis
Stamen Design
Geospatial analysisFortiusOne / GeoCommons
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DemoOffline
Mobile too!Runs on smart phones
including iPhone…… and tablets including iPad
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Different Approachesto integration
Sparse data
TrucksOutages
Jobs
Often don’t need detailed “GIS” maps
KML and GeoRSS are good formats
Sparse data
<?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>
KML is child’s play!
So is
<entry> <title>M 3.2, Mona Passage</title> <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>
geoRSS
You can use KML in lots of placesKML uploaded to GeoCommons and used for thematic mapping
SimpleGood for sparse and dynamic dataWorks with multiple platforms / products
KML The Good
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Hard to match GIS styles
Hard to scale to large data volumes
KML The Bad
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Dense Data
Raster map tiles
Pre-render maps into image filesApproach used by Google, Microsoft, etcVery high performance and scalabilityEasy to integrate with Google Maps etc
“If a dataset available on the web is in a format that can't be indexed by Google, does it make a sound?”
Kevin WiebeSafe Software
…/a2e/data/datasources/Pole/90974
REST APIs
…/a2e/data/datasources/Pole/90974?f=gjson
REST APIs: simple and powerful
…/a2e/data/datasources//Pole/search?f=gjson&lat=42.600&lon=-76.1780&d=4
<Picture of Jason> Jason BirchCity of Nanaimo
REST is good!!
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Usability
I highly recommend this book
My top 3 rules for good usability
Do usability testing1
Do usability testing2
Do usability testing3
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Doing a usability test
Put application in front of user
Shut up Watch
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Don’t make me think
flic.kr/p/28o3czKrug’s first law of usability
Running in the
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Cloud
This is an old Google data center (2005)
Each container holdsservers1,160
This facility holds an estimated
150,000servers
Google has an estimated 40…holding an estimated
data centers…
1 millionservers
3 billionsearches per day
35,000searches per second
2 billion videos per day
100 millionmonthly users
one zillion times more computer science
PhDs than your company or mine has
AmazonGoogle
Your IT department
HUGEeconomies of scale
Save
BIG!!
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EC2 Pricing
September 5, 2010
My daily quotas (max $5 per day)
46.5 CPU hours6.5 CPU hours free
43.2m web requests!
My total server costs for development of myWorld so far
13c
but is it SECURE???
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There is a strong case that
your data
more secureis
in the cloud
Agility
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Google Maps had 400 releases in its first 4 years
Ultra scalableSecureMajor cost savings
Hardware, admin, upgradesMuch faster enhancements & fixes
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Cloud benefits
The changing nature of geospatial data
September 12, 2010
Microsoft Photosynth
Google Streetview
layar
Something on layar
http://www.ted.com/talks/blaise_aguera.html
Blaise Aguera y Arcas at TED 2010
Microsoft Virtual Earth
Manhattan
maps
C3 Technologies
Las Vegas
prototypegame.org
Manhattan
The Sensor Web
Need a spatial context to make sense of all this
Location sensing
Cell towersWi-Fi
GPSRFID
UWB
New TomTom traffic speed datasetderived from
600 billionspeed readings from users
flickr.com/photos/rutlo/3164449930/
real time data within
3 minutes
location based servicesare real at last!
Will have the ability to know where everything is - and what is happening - all the time
Crowdsourcing
Web
publishing participation
2.0Web1.0
Wikipedia
Hurricane KatrinaNew Orleans
Community generated data
scipionus.com
OpenStreetMap
December 3, 2007
July 7, 2009
Google OpenStreetMap
300,000+
momentum!!
200,000+users
OSM stats from May 2009
24mkm of highways
34mkm of ways
NAVTEQ had 18m km of highways in Dec 2007
crazy
flickr.com/photos/pimpmasterjazz/2601898276/
What about quality?
“OSM quality is beyond good enough, it is a product that can be used for a wide range of activities”
Dr Muki Haklay of UCL
Based on a detailed analysishttp://tinyurl.com/mukiosm
Something on MapQuest / Microsoft OSM
2007 dataDatabase
69 countries11m miles (18m km) of roads18m points of interest
PeopleField force 700Central production 270Technology 500Total 3349
Financial Revenue $853m (~€604m) Data creation & distribution costs $396m (~€280m)
“Creating, maintaining and delivering a comprehensive, high quality map database is a
multi-step, labor-intensive process. We currently employ over 270 employees in our centralized production facility and a global
workforce of over 700 geographic analysts in 32 countries”
Crowdsourcing is a paradigm shift for data creationflickr.com/photos/jamescridland/613445810/
Summary
Fast train?
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Usability / simplicity
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Cloud
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changing natureof geospatial data
The
BackupDemo screen shots
Matches Smallworld styles
Google basemap gives context
Google satellite map
Display attribute data
Street View gives extra info
Street View gives extra info
Street View gives extra info
Something on “Google style search”
Google style one box search
Ability to link to maps
Autocomplete search
Autocomplete search
Reports in search too
Reports from search
Google geocoding very flexible
Google local search
“Enterprise mashups”
OutagesTrucksWMSCIS
Smart Grid
Ability to link to maps
Click link, no software needed!
Demo
