Dale Poore
Programme Manager, Highways Dept
East Sussex County Council
The generalisation process has traditionally involved labour intensive tasks and it has been increasingly difficult to maintain concurrent and up-to-date products in the face of constantly increasing labour costs. Additionally, authorities have made major investments in the capture and maintenance of digital geospatial data and senior management is increasingly focused on achieving a commercial return from these investments.
To ensure you gain maximum value from your existing data, 1Spatial Consultants can provide and support a range of data transformation services. Tasks are carried out using automatic processing, to maximise the efficiency of the process. These automated tasks might include simplifying data, deriving smaller scale maps and geodata products from a larger scale and more detailed sources or simply making data more manageable in order to improve process performance.
By simplifying data, the most relevant features, as identified by the customer, are exaggerated and irrelevant details are removed to provide a clear, purposeful map that can be loaded quickly and easily. Reducing the number of features also means that large datasets, previously inaccessible in the field, can be stored on small-volume devices to enable navigation, routing and map display tasks to be carried out in a timely manner. However, it is vital that any data reduction does not affect the intelligence, connectivity or accuracy of the data in question and 1Spatial Consultants will ensure that these attributes are retained, regardless of the type of processing carried out on those data.
Business Benefits
- Fit For Purpose Products – by automating the large parts of the generalisation process, and largely removing any human intervention, organisations with responsibility for generating map and geodata products can generate a continuous, concurrent and consistent set of data at given scales, providing a better range of products for their customers and users
- Maximum ROI In Geospatial Data – by generalising from a single master dataset to different target scales, source data is being reused and repurposed to generate a range of different products enabling maximum return on investment in the source data
- Increased Operational Efficiency – through automating parts of the generalisation process you can achieve time and cost savings, allowing the allocation of staff time to other tasks such as data maintenance
- Reduced Costs – automating large parts of the generalisation process means that you can make time savings and more effectively allocate staff time, allowing cost savings to be made throughout the operation
- Improved Service - by realising a number of operational benefits, organisations with responsibility for generating map and geodata products can offer a higher level of service and are better placed to meet the growing demands and expectations of their customers
Related links:
- Cartographic generalisation
- Landscape Model generalisation
- Radius Clarity
- Case Study: AdV
- Case Study: IGN France
- Case Study: CEH – LCM2007
Customer support:
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