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The MAGIC map of a Natural England

Using OS mapping, Landmark Solutions created an online portal to help over 2,000 people a day visiting Natural England's MAGIC website.

MAGIC helps visitors use datasets on rural, urban, coastal and marine geography. The website continues to develop its offer, bringing together ever more diverse data from across the country.

What were the challenges?

    • To build a portal for over 300 national environmental datasets.
    • To develop a range of easy to use geospatial tools and functions, allowing users to view and interact with the data (across both marine and land territories).

    What was the solution?

      MAGIC is easy to use and has all the information needed for environmental planning. With OS’s mapping freely available through the PSMA, MAGIC is highly economic and efficient. As MAGIC continues to evolve and improve, we’re seeing more and more users visit the site, and tell us it’s doing a great job.

      Using OS mapping, Landmark Solutions created an online portal, with multiple themes covering all the variety of datasets. Datasets are grouped into logical themes and are updated monthly from a wide range of government sources.

      MAGIC has been running since 2002 and continues to evolve, with the addition of new data, and improved functions. It’s a partnership between Natural England, DEFRA, Marine Management Organisation, Environment Agency, English Heritage and Forestry Commission.

      What were the outcomes?

        MAGIC’s users continue to grow in number, with as many as 11 million map images viewed a month. It’s a quick and responsive platform, strongly powered and cloud hosted.

        With OS base and detailed mapping supplied free via the PSMA, MAGIC is a cost effective solution.

        Users have access to a wealth of data to inform environmental management. Recent uses for the data have included, Preliminary Environmental Appraisals, Flood Defence Schemes and Environmental Inception Report (EIR) – Highways Scheme.

        The products used

        Download this case study PDF – 819kB

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        © Ordnance Survey 2018