PAI (Positional Accuracy Improvement)

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PAI (Positional Accuracy Improvement)/3send to a friend - bookmark this pagePAI (Positional Accuracy Improvement)

PAI (Positional Accuracy Improvement)

^“ Following a European-wide tender, we chose 1Spatial’s Radius Clarity for automatic generalisation and cartographic processing. Using Agent technologies and research from COGIT laboratory, Radius Clarity will allow the regeneration of our topographic Base Map series (1:25,000, 1:50,000), which will be produced directly from our geographic database. The use of this new technology will enable IGN to make new and important progress in the difficult subject of cartographic generalisation. _”

François Lecordix
Head of Project, New Base Map
IGN France

Dartford This feature of geographic data is topical. It has appeared because GPS has been used to collect location data in recent years. This means that features in base mapping may have changed position relative to the position of information collected before GPS became ubiquitous. In actual fact this situation occurs whenever the co-ordinate changes. Ireland and New Zealand have moved grid co-ordinate systems in recent years. 1Spatial uses topology to assess the relative positions of features before transformation takes place. Topology is used to check the relative positions are the same after the transformation has taken place. This solution can work with or without shift vectors. These are supplied by certain Mapping Agencies (e.g. Ordnance Survey Great Britain).

Business Benefits

Repeatable process - the process is reproducible. The computer has a set of business rules and it produces the same result, unlike the human alternative it doesn’t make mistakes undertaking tedious repetitive tasks.
Time and Cost Saving - by automating the transformation staff are freed to undertake higher value tasks. Typical timesavings reduce the task from months to hours.

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