Our OS Maps users created over 300,000 public routes across Great Britain in 2018 (covering some 2,950,000 miles…) and we were curious to see where you most (and least) enjoy exploring. Our Data Scientist Andrew Radburn set to work analysing the data before our Data Visualisation expert Charley Glynn set to work to showcase the results.
Analysing OS Maps route data
Tableau is a data visualisation software that is used for creating a wide range of different visualisation to interactively present data and obtain insights. It has a very intuitive user interface and you don’t need any coding knowledge to work with it. For this tutorial we will be using Tableau Public which can be downloaded here.
We will be creating a spider map or origin-destination map that shows paths between our origins (RNLI stations) and destinations (call-outs). All the data you will need for this tutorial can be found here.
On 28 February 1823, Sir William Hillary made an impassioned appeal to the nation, calling for a service dedicated to saving lives at sea. That service was to become the Royal National Lifeboat Institution (RNLI).
Did you know?
- There are 238 lifeboat stations around the coasts of Great Britain, Ireland, the Isle of Man and Channel Islands.
- Tower Lifeboat Station on the River Thames in London is the RNLI’s busiest.
- There are 349 lifeboats in the RNLI fleet.
- The RNLI have 4,966 volunteers.
- It cost £176.5m to run the RNLI in 2017.
Last week we looked at using QGIS to create some visualisations using data from the Royal National Lifeboat Institution (RNLI) and Ordnance Survey. This week we will be taking the same datasets and working with them within Kepler, Uber’s new open source geospatial analysis tool.
KEPLER (Pt 1)
Kepler is great for creating a range of different visualisations easily and quickly, and to begin with we are going to look at creating a visualisation depicting where in the UK most emergency call-outs are made. To do this we will need to download the RNLI Return of Service data.
In an emergency the importance of location is critical. Knowing the precise whereabouts of an incident can be the difference between life and death.
The Royal National Lifeboat Institution (RNLI) are the charity that saves lives at sea. Responsible for saving over 140,000 lives since their formation in 1824 they work with a dedicated team of volunteers, staff and community fundraisers. They allow us to enjoy our shorelines and water, safe in the knowledge that in an emergency they will be there to assist us.
There is a lot of data behind the lifesaving and in 2017 RNLI teamed up with ESRI to create an open data portal to help share some of this data.
Continuing our series to introduce some friendly faces from the people working at OS and showcase the wide variety of work we do, meet Joe Harrison. Joe joined OS on our graduate scheme in 2017 as a data scientist and has worked in a few areas of the business so far. If you’re a follower of the blog, you may recognise some of the project Joe’s worked on…
Hi, I’m Joe, one of the data science grads from the most recent graduate scheme. My first placement was an eight-month stay in the Consultancy & Technical Services team from September until the end of March. I then moved to the GeoDataViz team with Charley and Paul for a two-month placement.
Scottish Boundary Commission
During my first week in the team, Charley was contacted by the Scottish Boundary Commission who wanted advice on how to visualise the new Scottish constituency boundaries and the changes. I created a couple of examples using QGIS. I improved the clarity of the maps by reducing the number of colours, and by adding shadows to emphasise areas of interest.
A few weeks ago, we announced news that our Geovation team were embarking on a national series of hands-on introductory workshops about visualising with geographic data. With sessions having already been held in Edinburgh, Birmingham and Manchester, next week’s session in Bristol has sold out! Today, we can share details of our fifth and final date of the mini-series. Remember – it’s FREE to attend!
Geovation is holding a series of hands-on introductory workshops to teach attendees the principles of visualising with geographic data. As all tickets were snapped up for both our London HQ and Edinburgh sessions, we’ve decided to run four more events around GB over the next few weeks. Disclaimer – these events are FREE to attend!
Have you heard of Microsoft HoloLens? No, nor me. However, I was lucky enough to spend some time with one of our technology lab engineers Layla Gordon to find out more.
While VR (virtual reality) headsets and AR (augmented reality) apps were once pioneering, Microsoft HoloLens utilises an even more cutting-edge mixed reality technology.
VR headsets have been the latest visualisation trend and are mostly well known for their popularity in the gaming industry. As I am sure many of you know, VR headsets simulate entirely virtual worlds and require both a console and controller. The product has no association with reality and as such, creates an immersive experience for the user.
Early in 2018 Ordnance Survey (OS) were approached by the Registers of Scotland (RoS) to support their Data Month, an internal event for RoS staff held in March to facilitate the sharing of knowledge and best practice across the business. RoS is the non-ministerial government department responsible for compiling and maintaining 18 public registers. These relate to land, property, and other legal documents and include the Land Register of Scotland and General Register of Sasines.
What is a basemap?
Often referred to as a contextual or backdrop map, a basemap contains reference information used to both orient the viewer and add context to any data that is overlaid. Basemaps come in a variety of types, styles, and scales, from full detail to muted ‘background’ styles.
In this post we want to explore the options available and share some useful tips for presenting your contextual data effectively.
What are the options?
When it comes to choosing a basemap there are many choices available, from creating your own to using a provided service. Let’s look in more detail at some of these options:
Raster maps are images made up of pixels. The content is set and the scale and style are predefined however it is possible to make minor alterations to the look and feel of them. If you’re using a raster basemap then it’s often a good idea to desaturate the colours, reduce the opacity or even convert it to greyscale. This will help your overlays stand out more clearly.