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Visualising spatial data to support decision-making

Posted by: , Posted on: - Categories: Data

a data visualisation showing a map of London and deprivation levels in different parts of the city

I'm Elliott, a Software Engineer within the Department for Levelling Up, Housing and Communities (DLUHC). In DLUHC we are applying innovative techniques with open, publicly accessible data sources to support place-based decision-making. 

I have led the development of a new tool that allows internal users to browse and visualise data at national and neighbourhood levels across the UK. 

The tool features a dynamic map visualisation that enables users to zoom through multiple geography levels that span all 4 devolved administrations. It also supports timeseries to explore how UK datasets have changed over time. Within DLUHC, this tool has helped visualise the Levelling Up Mission framework, as outlined in the White Paper. 

Where it all began

DLUHC needed a data tool with high-quality granular maps and data to help inform policy, programming and decision-making. 

In order to deliver a prototype at pace, we adopted technologies used in the Office for National Statistics’ Census Maps. This was due to the similarity in requirements to use the same statistical boundaries. The prototype was tested with the Index of Multiple Deprivation publication at Local Authority District level. 

User feedback was overwhelmingly positive and justified the investment of resource into further developing the tool. 

Where are we now?

The internal product has recently moved into private Beta release, and work is underway to internally deploy the tool. 

Our users now have first-hand access to: 

  • a dynamic UK-wide map with national and neighbourhood level geographies 
  • map visualisation as timeseries to show metrics and their change over time 
  • a corresponding unified data repository 
  • the ability to export and embed interactive and static versions of the maps into their own work 

DLUHC uses the agile delivery framework. We iterate on user-centred design and feedback regularly to refine and continuously improve. We’ve worked to deploy and scale our cloud infrastructure to ensure the application conforms to security, performance, and accessibility requirements. 

Delivery has involved negotiating through several governance stages, for example service assessments, pipeline assurance board and technical design authority. 

Data transformation

The interactive tool is more than a pretty map — a huge amount of thought has gone into its design, architecture and ongoing management. With user experience being our highest priority, we needed a fast, responsive and intuitive solution. We’ve worked with design experts to adopt the GOV.UK Design System, and with geospatial data scientists and data engineers to complete the complex dynamic spatial data visualisation. 

The data explorer tool uses Sveltekit, Typescript, Mapbox and Python. All published datasets are publicly available and approved for use by the government department responsible. 

We’ve configured a data catalogue to source, transform and deliver all the data consumed where our pipelines are able to adapt to new datasets, including file download, APIs, and web scraping, or if we require data from a new provider. Our team uses design principles and patterns to ensure our code is extendable and responsive to emerging requirements. 

Working with our users

This new capability has been showcased at Civil Service events to help share knowledge and learning with others across government, such as Civil Service Live and DataConnect. 

a group of people standing together and talking to each other at an event

The team have been encouraged and supported by the wealth of positive comments and suggestions for continuous improvement. We've also used this feedback together with ongoing user research, and provide updates on the progress of our work through our internal monthly show-and-tells. 

We ensure the data we use is accurate and up to date, and validated by data science/engineering experts to ensure our data modelling is robust and accurate. 

What's next?

The team is actively working to support several new geography types to accommodate a wider range of datasets and provide finer geospatial detail, including police force areas and travel to work areas. 

This work is making the exploration of data easier and more accessible for internal users. By centrally co-ordinating the data in one place, DLUHC can now spend less time on data discovery and downloads, and more time applying data to support their decision-making. 

If you’re interested in finding out more about this work, get in touch at 

Subscribe to our blog for the latest updates from the team or visit our job page if you're interested in working with us.

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  1. Comment by John Bone posted on

    It would be nice to visualise the "register of Higher-risk Buildings" - being complied by the Building Safety Regulator.

    • Replies to John Bone>

      Comment by Elliott Phillips posted on

      Hi John, thanks for your comment. We have captured this in our project planning for consideration. If you have further information on this data, please reach out to the team at

  2. Comment by Drake Siard posted on

    When will this tool be available for use by the public?

    • Replies to Drake Siard>

      Comment by Elliott Phillips posted on

      Hi Drake, thanks for your question. As stated in the blog, the app is an internal tool where there are no plans currently to make available for public use.

  3. Comment by John bone posted on

    The HSE BSR is on

    Find a high rise is the best search phrase


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