Ordnance Survey data can be used to tell stories at all scales. NGD Land data contains information about the physical surface of the land across Great Britain. I've taken a few fairly random subsets of the NGD Land data and combined some together according to my own arbitrary tastes; see comments for which classifications I'm using for "trees", "gardens", and "heath and scrub". By aggregating to 10km grid cells across Great Britain, we see that Scotland is home to a lot of our heath and scrub land, gardens are (obviously) clustered towards our urban centres, and trees are found surprisingly uniformly across the country. By aggregating to 1km grid cells within the ceremonial county of Hampshire, the New Forest stands out as the home of most of the county's heath and scrub and patches of woodlands stand out. By aggregating to 100m grid cells and focusing on the Southampton Built-Up Area, the structure of the city's neighbourhoods and parks stand out clearly. All analysis performed in Databricks with pyspark, and the visual was put together with matplotlib.
Tom Peterken
4w
The polygon for Hampshire came from NGD Boundaries data: https://docs.os.uk/osngd/data-structure/administrative-and-statistical-units/boundaries The polygon for the Southampton Built-Up Area came from OS Open Built Up Areas: https://www.ordnancesurvey.co.uk/products/os-open-built-up-areas
I love this! I especially like that the heathland habitat of the New Forest stands out, as I think the extent of the heath is under appreciated. I also love how recognisable the common is in the middle of Southampton.
Richard Paul
1w
There is a lot of more information hidden in OS data than most people think. When combined with general knowledge you can find all kinds of useful things. For instance you can find the easiest place to wade across a Highland river just by looking at the shape of it on the map combined with a little knowledge of river dynamics (the answer : diagonally between the inside curves of an S shaped bend).
Dean Paulley
3w
Great demonstration of the new valuable data which can be accessed via the OS National Geographic Database. Great work Tom Peterken !
Data Scientist at Ordnance Survey
4wFor more information about NGD Land data, see here: https://docs.os.uk/osngd/data-structure/land For "Trees" I used all polygons where OSLandCoverTierB is in 'Non-Coniferous Trees', 'Scattered Non-Coniferous Trees', 'Coniferous Trees', or 'Scattered Coniferous Trees'. For "Gardens" I used all polygons where OSLandCoverTierB is in 'Residential Garden', 'Orchard', or 'Vineyard'. For "Heath and Scrub" I used all polygons where OSLandCoverTierB is in 'Heath' or 'Scrub'.