MapDen provides geo-spatial technical consultancy service, including map design, data analysis & visualisation and bespoke application development.

We offer three main services:

1. Map design and visualisation: we provide high quality, high impact mapping and visualisations. We can design maps using conventional data sources, such as official statistics. We also have expertise in the utilisation of non-conventional data sources such as social media and public APIs, such as those offered by Google and government agencies. These APIs provide the potential to tap into the world of big data, for example by mapping twitter activity in city regions, perhaps to monitor mobility or to crowd source public opinions.

2. Data driven analysis and insight: Along with our sister site,, we provide analysis and insight. From tailored thematic briefings and presentation packs to detailed evidence bases, we can help. 

3. Bespoke application development: We are experts in spatial data driven application development using the Python programming language. We specialise in network and routing applications that enable travel time accessibility studies to calculate catchment or isochrones, particularly for transport planning and modelling applications.


Steve Denman, founder of mapden.

Steve is a geo-spatial data specialist based in Cambridge, UK. He is a senior researcher associate of six years based at the Department of Architecture, University of Cambridge. He is currently working towards a PhD at Clare Hall, University of Cambridge, provisionally titled “TRAVEL MODE CHOICE IN CONSTRAINED URBAN ENVIRONMENTS – A FRAMEWORK FOR THE IMPLEMENTATION OF RADICAL TRANSPORT POLICY.” His research interests are focused on mobility within cities, with a particular interest in active travel and designing cities to encourage a step change in travel mode away from private motorised transport.

Steve’s background is in Geographic Information Systems (GIS), but in recent years he has been specialising in the development of stand alone geo-processing and data visualisation applications with a particular focus on modelling transport, big data and social media driven applications. He has advanced knowledge of the Python programming language, specifically for the analysis of spatial data and networks.

If you would like to discuss your ideas further with us please get in touch…