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Save time and effort

1Generalise saves huge amounts of time and effort when producing smaller scale data products and it also allows you to rapidly generate new products in response to market demands.


1Generalise can be used to:

  • Perform automated model and cartographic generalisation
  • Automate the creation of small-scale data products from larger scale data
  • Use intelligent and powerful generalisation algorithms developed in collaboration with leading European Mapping Agencies
  • Define repeatable rules needed to transform data to smaller scales
  • Invoke generalisation processes from external systems via web services
  • Scale the system by adding processing resources to increase throughput when needed
  • Add your own specialist generalisation algorithms


  • Saves you money by minimising the resources required to generate data products by utilising automated product generation services
  • Rapidly create new data products by automating your product generation
  • Increase your product range to make more sales or attract new clients
  • Achieve the required product output, even for specialist requirements
  • Saves you time and money on data production by enabling automation even for large datasets
  • Improve the consistency of your data products by automating previously manual processes

Help & Support Centre

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Online Help

Access our online help portal for additional information, tutorials, FAQs and much more.

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Effective training ensures you get maximum return on your 1Spatial investment. Our courses cover all 1Spatial products for any level of ability.


Book a demo

If you need a demo of 1Generalise or for help getting your data into shape and keeping it that way.

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Find out more


1Spatial recognise that location data is ubiquitous and the potential innovations with it are limitless.

Solutions Solutions


In every sector, organisations are using location data to make better decisions – improving profits, saving time and saving lives.

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Support & Services

Our services experts have experience designing and supporting some of the largest, most complex geospatial data-sets in the world.

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