Mobius performs project boundary modifications in complex GIS systems

The Business Need

A US Based mapping applications company approached Mobius for it’s GIS requirements.

GIS had made it easy to analyze and manipulate geographical information. Mobius used GIS to solve all of the client's location-based question such as “What is located here” or Where to find particular features? We had the capability to combine different layers to show new information. GIS provided several advantages to the client such as better decision making, identification of communities under risk, cost saving, better communication and better management of natural resources.

The major scope of the project was to modify property boundaries such as Schools, Car Dealers, Golf Courses, Airports, Stadiums, etc. using polygons.

Challenges we faced

One of the biggest challenges faced by us in resolving the client’s GIS needs was the integration with traditional maps were dealt with difficulty.

The data collected and stored in the GIS system was complex with plenty of definition and restructuring requirements. This meant that special skills were required to understand and interpret the data collected in a GIS system.

The system stored extremely large amounts of data at any given time. This could have created problems when it came to analysis due to the complexity of the data and the risk of generalization. It could have also created problems of interpretation.

How we solved the problem

We acquired the records from PALF data that contained the OS RPC value as 1 or 2. Later, the postcode unit boundary was modified by covering the postcode addresses that were associated with it. If the multiple postcodes shared the same spatial reference by creating non-overlapping squares then the size of the squares was placed in such a way that they don’t overlap or create split polygons.

Mobius used the Unique Polygon Identifier with 20 digits unique ID that was assigned and maintained to each polygon. For each new postcode that was created, this ID must be created and assigned a new 20 digit code with 4 leading zeros (0000). OS Master Map (aerial imagery) was used as a primary source to create and maintain the postcode unit polygons.

Finally, we moved the records to discard files that contained all the OS RPC value as 0.


Mobius provided a clear and logical channel of support by sorting a large volume of spatial data. The consultants gave direction and assistance that helped to analyze the information and modify client’s workflows in a hassle-free manner.

Used Quantum GIS(QGIS) Open Source

Massive volumes of complex spatial data were sorted.

Quality checks through ArcGIS Licensed software

Looking out for a similar solution?