As part of our #OSDeveloper series, we’re bringing you a guest blog by Liam Mason, spatial analyst and cartographer for the Scottish Government.
Following 96 miles of ancient paths such as drovers’ and military roads, the route passes from the suburbs of Scotland’s largest city, along the shores of the UK’s largest lake, crossing the remains of a supervolcano, before arriving at the UK’s largest peak.
To commemorate my walk, I wanted to make a map. I’d tracked my efforts using a GPS watch, so I had a wealth of data. Points, tracks, distance, pace, heart rate, elevation… So much data it was a bit overwhelming. What was important for the narrative? What style was I looking for?
Since we released the OS Data Hub in July, as part of the new Public Sector Geospatial Agreement (PSGA), we’ve been tracking use and eagerly watching to see how our customers, old and new, will use the platform and APIs.
Three months on and we’re delighted with what we’ve seen. After crunching the numbers of registered users, we’ve identified of the 2,355 users who have registered for the OS Data Hub, 1,845 are new to OS. The majority (76%) of users have registered for the OS OpenData Plan, and across both that and the Premium Plan, customers have carried out over 40 million transactions, with a 100% month-on-month increase in transactions.
When we launched OS OpenSpace back in 2008, it was our first venture into mapping APIs. 12 years on, there has been a lot of progression in this market. As a result, we plan to withdraw the OS OpenSpace API in August 2021 as we can now offer users a similar but more proficient product.
We want to thank everyone who has used this service. Without your support, we wouldn’t be where we are today with our new and exciting suite of APIs.
With a year until the withdrawal, we’ve outlined some of the options for users to migrate across to.
Why is OS OpenSpace being withdrawn?
As the Head of Data and Analytical Services at OS, here Lisa Allen offers us an insight into our data principles…
Ordnance Survey is the national mapping agency for Great Britain, and we hold some of the country’s most valued geospatial data. Our data is woven into the very fabric of everyday life, right across Britain.
However, it’s not just geospatial data that’s important to us. As a data business, our corporate data is equally important.
We need to ensure that our customers can trust, find and use our data. We want to enable you to connect data through the language of location for greater insights, better decisions and smarter outcomes.
As we’re sure you know from your own experience of lockdown, the availability of greenspaces has become even more important throughout the Covid-19 pandemic. With our comprehensive data, we’ve been able to support work identifying them for business and government use as well as for the public to ensure they can get outside safely.
If you’re working with data to support a Covid-19 response, we can help you with location data analysis. And, did you know the public sector can access data and support from OS, free at the point of use? OS Principal Consultant Duncan Moss tells us more…
Update: 1 July 2020, OS Data Hub now live, sign up here
The OS Data Hub is the new way to access our authoritative location data. It will replace the current OS ordering systems (OpenData Portal, OS Orders and API shop) with one mobile-friendly platform with a single sign on to give you a better user experience.
With such varied and comprehensive datasets, we often find our mapping being used in interesting and unexpected ways. Upon discovering the #HogsOnRoads appeal, we decided to find out more…
Using OS datasets, the Mammal Society has recently published research on when, where and why hedgehog roadkill is most likely to occur.
Created by The Bartlett Centre for Advanced Spatial Analysis at University College London, Colouring London is a free online platform set up to crowdsource information and share expertise on London’s buildings to make the city more sustainable. We’ve supported this project from day one and are delighted to be part of it.
Using OS data for the building outlines, this project is designed to collect, collate and visualise around 50 types of statistical data for every building in London. These are grouped into 12 core categories: location, land use, building type, community assets, age and history, size and shape, construction, team, sustainability, street context and environment, planning and protection and “like me?”.
As a self-proclaimed outdoor enthusiast, it’s no surprise our guest blogger Dan Harris is a Forward Planning Manager at the Cairngorms National Park Authority. In his spare time, he used our data to create a 3D LEGO map and in doing so, enthused many Twitter users. Here, he tells us about the project…
LEGO is an extremely engaging medium that can generate great enthusiasm in almost any subject, whether the audience is young or old. There are hundreds of examples of its use to promote subjects such as history, philosophy, economics, science and more, so I wanted to bring it to the world of cartography and use it to inspire engagement with mapping, landscape and place.
I’ve always really liked the way 3D relief maps can quickly and often dramatically convey the geography of an area. They’re popular and inspiring so to me, LEGO seemed like the ideal material from which to make my own; and where better to make one for than Scotland? With its mountains, islands and intricate coastline, it seemed to me to be the ideal subject. Plus, I live there and if it’s going to be displayed in my house, I want it to mean something to me.
One of my main objectives was to make the map using open data, so OS’s open datasets were an obvious solution. While I did consider other options, I decided that OS Terrain 50 DTM best suited my needs. To be fair, OS Terrain 50 is total excessive for a model of the resolution I had planned, but I wanted to use it so that in future I could create more detailed maps without having to process loads of new data. My map also includes a part of Northern Ireland, so I used the ALOS World 30m DSM to fill in that gap. Watercourses data came from the OS Open Zoomstack dataset, which is a great source of open data.