🆕OS NGD Data in Dashboards

Introduction

Dashboards provide a simple yet effective way of visualising spatial data without the need for specialist geospatial software. The visuals included in this article all have the advantage of a drag-and-drop interface, meaning that there is minimal setup needed to visualise spatial data and associated attributes – geospatial software is not needed to experience the benefits of OS data!

Using dashboards also has the advantage of easily integrating with other non-spatial data, meaning that you can compare your own internal statistics with OS data to create a clearer picture of the project of interest.

Example use cases

chevron-rightHealthcarehashtag
  • Dashboards are already used for examples such as real-time and historic spatial analysis to improve service responsiveness and manage hospital environments, creating heatmaps of Emergency Department and Ambulance arrival to manage staffing and congestion, and infection-prevention Hotspot Tracking.

  • Can link health data to OS NGD Address using UPRN, which can then be visualised in PowerBI to identify vulnerable areas and provide support.

  • Can link OS NGD Buildings to population health KPIs to evaluate ease of access to GP surgeries, pharmacies, A&E wards, greenspaces etc., and can link this to OS NGD Transport features and travel time data to identify less accessible communities that may need more support.

chevron-rightRetailhashtag
  • Joining OS NGD data such as Buildings/Boundaries with customer data to visualise sales performances at a store to region level, for example using choropleth or heat maps.

  • Identifying locations for new retail outlets based on customer data and suitable properties from OS NGD Buildings/Address, for example showing footfall using bubble maps or heat maps.

  • Can use map visuals alongside other PowerBI visuals such as treemaps to show product sales by categories.

chevron-rightUrban Planning and Address Mappinghashtag
  • Linking Addressing information to population statistics to better understand demographics and plan future service development accordingly – for example, can join customer-owned statistical data to addresses using UPRN to then visualise in a PowerBI visual, which can then be made more interactive with slicers.

  • OS NGD RAMI data can be used alongside collision data to create heatmaps of high-risk roads and can be combined with commute patterns to prioritise road management and improve travel safety.

  • Combining OS NGD Buildings data (e.g. solar panel presence, building height) with customer data on energy efficiency using UPRN to aid estate management and net-zero modelling.

chevron-rightEmergency Response and Planninghashtag
  • Linking customer data on flood risk and vulnerability with OS NGD Building attributes such as basement presence, to identify structures at high risk of flooding so that evacuation and emergency support can be prioritized accordingly.

  • Using OS NGD Transport and RAMI data alongside hazard information to identify routing for emergency services and evacuation routes.

  • Using OS NGD Transport and OS NGD Address to validate addresses in emergencies and streamline blue light dispatches.

  • A GIS. For this tutorial QGIS 3.22.4 – Białowieża is used

  • ASCII grid data. For this tutorial the following 12 tiles from OS Terrain 5 are used:

  • SU33NE; SU33NW; SU33SE; SU33SW; SU34SE; SU34SW; SU43NE; SU43NW; SU43SE; SU43SW; SU44SE; and SU44SW;

  • The OS Maps API light_27700 mapping was also used to add some geographic context

Advantages of using OS NGD data with Dashboards

  • The ability to download OS NGD data in .csv format makes it ideal for integrating in dashboards – dashboard software such as Microsoft PowerBI and Qlik are able to ingest spatial data in .csv format, so OS NGD data provides the perfect structure to drag-and-drop data and produce visuals easily and effectively.

  • All visuals support point data, such as OS NGD GB Address, and many visuals support both point and vector data, allowing for visualisation of a variety of OS NGD dataset from OS NGD Buildings to OS NGD Transport Networks.

  • OS NGD GB Address data can be joined with other datasets using UPRN easily, which can then easily be visualised alongside other OS NGD datasets.

How to load OS NGD data into Microsoft PowerBI

  • To initially get OS NGD data into Microsoft PowerBI, firstly download your data of interest from the Data Hub, ensuring that data you download is in .csv format.

  • Add data into PowerBI through Get data -> Text/CSV -> Load.

  • Once you have done this, the dataset will be available in the Data panel to add to new visuals.

How to utilise OS NGD data with PowerBI Visuals

Azure Map Visual

Data Types Supported: Point Data, Line Data (as reference layer), Polygon Data (as reference layer)

Visualisations Supported: Bubble Map, Cluster Bubbles, Heat Map, 3D Column

How to add OS NGD Address data to visual

  • Add Latitude and Longitude to corresponding fields

  • Within the ‘Format your Visual’ menu, you can change symbology within Format Visual to produce Bubble maps, Cluster Bubbles, Heat Maps, or add a 3D aspect to the data, for example viewing highestfloorlevel with OS NGD GB Address (in this case, you would add highestfloorlevel to the Size field when adding data to your visual).

  • You can also use the Azure Map visual alongside Slicers to filter data e.g. classification description.

Power BI Azure Map visual
Power BI Azure Map visual
  • There are also additional features of this visual to explore, such as an in-built Traffic Layer with real-time incident mapping​, data of which is obtained through Microsoft Azure Map Services.

  • Point, Line and Polygon data can also be added to the visual by uploading it as a reference layer – this can be uploaded in all major spatial formations including shapefile, as well as csv format.

More Information

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