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Data Scientists

Using OS data for spatial data analysis

Our APIs can be used to leverage your data, visualise large datasets at scale and model patterns and behaviours. Use the basemaps from the OS Maps API for reference mapping and the geometries from the OS Features API for spatial data analysis, including classification and clustering.

With over 20,000 updates to our databases every day, you have access to a comprehensive and up-to-date set of authoritative data.

Help for data scientists using OS data

We provide tutorials and documentation for loading and querying our data offline in Python and R. The OS Python API wrapper is designed to make our data more readily accessible to Python developers.

Our data is served in a number of well-supported geospatial data formats, so it is easy to integrate with other datasets. Download our data from the OS Data Hub to use alongside other datasets.

Developer blog

Data visualisation

We explore data visualisation in our developer blog, referring to the representation of information or data in a visual format.

New Data formats

Throughout this year, we will be providing more of current products as GeoPackage, Vector Tile and GeoTIFF.

Our data is authoritative

Our Data Management Specialists look at the 'Our Data is Authoritative’ principle and what this means for our customers.