Introvis

Visualising connections
overview

The purpose of this project was to provide an interesting graphical element on our website. It is intended to visually complement and bring understanding to what we do as a consultancy. Recognisable from the homepage, we’ve come to refer to it as Introvis.

project goals

Visualise familiar data differently

We wanted to use some form of data that anyone would recognise and relate to and communicate it visually.

Locally sourced

The data should have some geographical component and relationship to us.

Communicate

We wanted people to visually experience and understand what we do.

Have fun...

...and experiment throughout the process.

strategy

We wanted to find a graphical shape that would suit the data but still provide a new way to visualise it. As we are based in Northern Europe, we decided to use data that would give context to our location. The visualisation was to tell a story as it evolved into the Introvis.

storyboard introvis image
choosing the data

Lantmäteriet are a public authority that belongs to the Ministry of Enterprise and Innovation. They are mainly responsible for providing geographical information in Sweden. It is through them that we sourced the open data used in this project.

While Sweden isn’t the most populated country in the world, it does have an extensive road network. With 297 smaller geographical regions, we wanted the data to show which of these were connected through this infrastructure.

visualising networks

We wanted to highlight the connectedness between the road network and the Swedish regions. To provide a fresh perspective on this common data we decided to render these relationships off the map canvas. We accomplished this using D3.js and, more specifically, Force Layout

There was some pre-processing of the data required to produce this graphic. The general structure of the data is slightly different when setting up a Force Layout. You can view and download the data and code we used here.

conclusion

Through playing with concepts and exploring different designs we can highlight new aspects of the data. The information is open to all of us. Sometimes it’s a matter of the questions we ask.