Positional Accuracy Improvement (PAI)

The Challenge

Historically, geometric data was mapped with the level of accuracy available at the time.

Inaccuracy is often a problem for you if you have old data sets, pre-dating the use of accurate GPS surveying technology. In many cases, the position of any point within the data set is accurate relative to other points in the same set, but can be inaccurate relative to more recent, precise data.

This is a problem for both suppliers of base data who need to update its positional accuracy and also for users of this data whose assets will need to be shifted to stay aligned with the updated base data. 

The Solution

Our solution uses both 1Data Gateway and 1Integrate. 1Data Gateway is a cloud-enabled portal which allows the de-centralization of PAI transformational processes. The portal allows users to submit data through a secure portal in the cloud. Powered by 1Integrate’s rules-engine, data is automatically checked and validated at source to ensure its completeness, quality, and reliability.  

When the users are happy with the quality of the data, the transformation tasks begin. Users can select a project to shift their data using an existing set of shift vectors, or by supplying a source and target data set to allow the solution to generate them for you. The shift vectors are analyzed to identify anomalies or outliers. These can then be corrected or excluded from the process. The data is then shifted using our powerful algorithms, before validating the result to check the data post-movement and report any geometry, connectivity or relationship changes.

The Result

Our solution improves the positional accuracy of your data sets, without compromising your underlying topology and feature relationships.

It provides a flexible approach where users can optionally influence the processing or choose to allow our solution to automatically exclude anomalies and process only known good data.

The result is a hassle free, efficient, reliable and automated process that can work in the background, quietly improving your data.