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Open Source LBS stack. Users let the users do the work and fix the bugs ..wiki maps. The round trip • move around.. • translate GPS to GPX • upload GPX traces to your account • click the trace to open the editor • draw vectors over the traces in the editor
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Users let the users do the work and fix the bugs ..wiki maps
The round trip • move around.. • translate GPS to GPX • upload GPX traces to your account • click the trace to open the editor • draw vectors over the traces in the editor • click the line segments to annotate, and add street names • recent changes shows other people your new contribution • other people view, correct, improve and validate your contribution
The round trip attraction • game like • god like • meaningful • addictive
User tools • editors - java - flash + community produced editors • viewers - Ajax slippy map interface - flash
Distributed toil • End user street maps: a wiki approach • Anyone can map • Innovate in acquiring and validating basic geodata • Enough people can - map - annotate - validate ..the 4 blocks around their house
International web mapping • europe • eastern europe • south america • south asia • africa • finessed Tiger data in the US
City by city • descend on a city during a festival • get funding from government and local municipalities, and local companies • distribute GPS units to local people • map the city in two weeks
Actively mapping • bounties • paying for gaps • descending on towns and actively getting them to map themselves • active validation
Editorial pyramid Quality of data issues • Stable and unstable • recent changes • Editorial validation • bottom up validation • distributed liability for erroneous data • Regional franchising • algorithmic detection of aberrant behaviour
Structure • foundation - maps and user validations held in trust, stay free distros
Structure • company - actively mapping and filling gaps - stable distributions - analysis derived products - contract mapping methodologies - improving negotiating positions with mapping data providers
Negotiation • getting GIS data from private organisations and Local government • Satellite and aerial imagery • drive-by 3d modelling GPS data • buying mapping data
Relationships • two weeks of courier data (movie) • aerial photography for a section of Europe
Non-loss data collection • supplying commercial drivers with GPS and where relevant with bluetooth and data capable phones. • paying users to carry out customer requested data collection.
Auto-classification • nodes and lines • behaviour • human input
Image processing and analysis • analysis feeds back into tool chain (traffic behaviour informs auto-classification) • behavioural analysis (dimensions stripped from the public data-set) • derive vectors from satellite imagery (thermal and other methods) • auto-derivation of vectors from aggregated GPS traces
On the back end • WMS tile server • hosting • API
People • spatial analysis • mathematicians • graphics programmers • experience in scaling and managing at scale • artists • cartographers • business development
Compatibility • how can we make our data useful for you? • how could we fit our data into your process and tool chains?
Outcomes • cumulatively improving (and even live) data-set • data to analyse (hidden from users for privacy reasons) • analysis derived value (e.g. traffic data • new tools and methodologies • experienced people • a use for users feedback about stuff navteq get wrong
beyond a proof of concept • build more robust back end and tools • scale the project
Support • much of our needs can be met through a foundation model • additional needs can be supported through a business model • cost effective and constrained achievable objectives
Save time • we’re up • we’ve been thinking about this *and* executing • we have a contributor community • we’re connected to the developer community • we’re committed to a long term view