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United Maps
United Maps: Maps on a human scale.
• Professional Maps for the Geoweb.
• United Maps GmbH 2009
United Maps Maps leave the car.
• Cell phones know where we are.
in-dash OEM
in-car AM
PDA
PND
smartphones
mobile phones
Maps become personal.
original picture: http://flickr.com/photos/greenspartan/2548517094/ - by greenspartan
Maps made for cars don‘t make too much sense
for mobile humans.
United Maps Vehicle Maps don‘t make too much sense on personal mobile devices
Conventional maps focus on vehicle traffic and streets: » no detail on pedestrian level » no multimodal navigation » random house footprints » few relevant POIs
Mobile devices have different usecases.
Users expect better maps.
United Maps United Maps fills gaps in maps.
» large scale = deep zoom » public transport » seamless multimodal
navigation » pathes, walkways and trails » precise house footprints » exact addresses » comprehensive content
Better maps = better apps.
United Maps Better Maps = Better Apps
UM-DE (pre-release 04.09) Yahoo! Maps
Maps make the difference.
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17,18,27,N17,N
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United M
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Konsulat desKönigreichsDänemark
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2716
16
MATTHÄUS-KIRCHE
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ger-To
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Lindwurm
straße
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tra
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An
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Lindwurm
straße
Ma
t hild
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st raß
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Fliegenstraße
United Maps Better Maps.
» cities: up to 50% density » rural: up to 300% more
streets, pathways and trails » attributes conserved » fully navigable » professional topology
• White lines are basedata sets - red lines is United Maps better maps with dramatically enhanced streets and pedestrian features.
United Maps Mobile multimodal navigation on a human scale
» algorithmic merging and matching of vector data sets
» licenced data from Navteq or Tele Atlas (no mashup)
» addition and completion of missing features and layers
» perpetual, dynamic updates » unique content
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hyperlocal
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streets
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continental
United Maps Conventional field research and processing is expensive
Conventional field research requires reasonable perpetual effort and resources.
In 2007, Navteq alone spent $336m for map updates.
2006: 275$m
2005: 236$m
2004: 197$m Turner, A. and Forrest, B., (2008) Where 2.0 - The state of the Geospatial Web. page 6. http://cachefly.oreilly.com/radar/research/Where2.0_excerpt.pdf
United Maps We use smart software instead of driving roads.
Primary maps from Navteq or Tele Atlas are matched, merged and extended with supplemental data.
The result are truely pedestrian maps for mobile usecases in an unseen map quality.
Highly detailed, hyperlocal maps.
United Maps Crowd Mapping produces results
OpenStreetMap quickly generates maps for populated areas.
Great Idea! » professional quality? » routable? » comprehensive feature sets? » commercial products? » coverage? » precision? » reliability? » Hype?
United Maps How we do it: Algorithmic Conflation
UM licences vector data from market leaders and deploys a proprietary algorithm ... » to automatically match vector data
sets, geometries and attributes » with a precision of 95% correct
positive matches resulting in ... » a fully navigable topological
network based on primary data
Original primary data is left untouched. Nodes are expanded to attach new, previously missing pathways, conserving all attributes.
What UM doesn‘t do: » layering > original topology is
expanded, nodes and vertices are added
» photogrammetry > pixel images aren‘t vectorized: we licence original and secondary vector data
» field research > we don‘t do field checks
United Maps primary data + cadastral data
• ATKIS is a set of official german cadastre data that is conflated with the street network data from Navteq or Tele Atlas. Every country has cadastre data. Quality and/or availability varies.
United Maps primary + cadastre = United Maps
• Two vector data sets are conflated into a single, more precise and comprehensive dataset. All attributes are conserved, the street networks becomes denser and remains fully navigable. A wealth of additional metadata is added.
United Maps Anyone can do that?
The U.S. has a centralized, public domain dataset maintained by the US Census Bureau.
TIGER (Topologically Integrated Geographic Encoding and Referencing), the equivalent of 57.000 topographical maps is “out of date, idiosyncratic and mostly incompatible“*. But at least there is something.
*) „Getting there“. The science of driving directions. Nick Paumgarten. April 24, 2006; The New Yorker - http://tinyurl.com/czw3e9
United Maps Technology + Workflow
The EU has neither centralized nor free data but thousands of authorities and agencies.
European federalism, cultural and language barriers and completely heterogenous data makes mapping a bit trickier.
We do maps since 30 years.
United Maps Rollout United Maps
» DE ready in 2Q09 » 200 major European cities
» Trials for U.S. and Asia running
United Maps Founders
• Andreas Wiedmann – CEO » 20 years CEO/CFO in media and publishing » CEO of Germany‘s market-leading cartographic publisher CartoTravel (ADAC)
• Stefan Knecht – CIO » 18 years in publishing, media and technologies » international product development, program management and sales
• Carsten Recknagel – COO » 14 years in GIS and cartography » CTO at CartoTravel
United Maps has a seasoned Founder-Management Team who combine and bring to the company more than 30 years of relevant industry experience.
United Maps Where United Maps comes from
United Maps‘ staff produced european and worldwide maps for more than 30 years. Some of us made Carto Travel, formerly Germany‘s mapping market leader: cartography, GIS, editorial processing and licencing is our profession.
» Feb 2008: founded » Sep 2008: (seed-)funded » Nov 2008: started operations
• We closely work with a german university on academic projects and currently employ 15 experts at 2 locations in Munich and Eisenach, Germany.
• The first product, a hyperlocal and fully navigable vector map of Germany will be released as UM-DE in April 2009.
much more United Maps
United Maps Contact
United Maps GmbH Stefan Knecht – CIO Agnes-Pockels-Bogen 1 80992 München +49 89 4521 393 0 [email protected] http://blog.unitedmaps.net
See Slideshare for more!
United Maps Automatic Conflation Results Rural
primary dataset | secondary dataset | UM automated match
• A primary dataset is algorithmically conflated and hence merged with a secondary dataset.
• For practical reasons and sequential processing, this is done by tiling an area into 5x5 km segments.
• UM-DE consists of 15k technical tiles.
United Maps Automatic Conflation Results Rural
primary dataset | secondary dataset | UM automated match
•
United Maps Automatic Conflation Results Suburban
• In rural areas, an up to 300% gain in additional roads and pedestrian pathes is achieved.
• In sub-/urban areas, the enhancement varies up to 50% depending on the timeliness of primary and secondary data.
• Red is the fully automatically matched vectors.
• Blue is defined as the primary base vector set
primary dataset | secondary dataset | UM automated match
United Maps Automatic Conflation Results Suburban
• After a completely automated first run, the majority of points and lines are positively matched: corresponding geometry is met.
• Despite its 95% precision, the current release of the algorithm still produces artefacts that need to be processed in a second run.
primary dataset | secondary dataset | UM automated match | positive 1st run | QA 2nd run
United Maps Automatic Conflation Results Urban
primary dataset | secondary dataset | UM automated match
United Maps Automatic Conflation Results Urban
primary dataset | secondary dataset | UM automated match | positive 1st run | QA 2nd run