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
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
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/
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
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/