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You can simply view our maps, or sign-up and help us develop our open database - when you add information the buildings will colour!


You can also download our data for free, use our open platform code and feedback on new features or changes you would like to see. You can also help us by sending links to datasets of relevance, and by checking our data too.

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Our platform collects data on the physical form, quality and performance of London's  buildings, and their lifespans and history

Over the next several years our goal, with your help, is to provide free spatial statistics on the location, use, age, size,  street context, designers/ builders, planning status, sustainable performance, repairability, and site history of all buildings in London.



We are currently testing four methods of data capture : bulk upload of existing open datasets; crowdsourcing at building level; automated approaches (e.g. inferring roof shape from building age and height data); and live streaming (particularly of planning data). Data ethics, including issues relating to privacy and potential negative applications, and data accuracy, are key areas of research.

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The Colouring Cities Research Programme (CCRP) has been set-up to help accelerate knowledge exchange on stock sustainability, across cities and countries. The collective aim of academic partners is to co-develop prototype platform code to increase open data necessary to support the United Nations New Urban Agenda. The CCRP currently works with research institutions in Lebanon, Bahrain. Australia, Greece, Germany, Switzerland, China,  Indonesia and Colombia, as well as the the UK.

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The building stock makes up most of a city's fabric, and is a society's most important physical resource. The quality of our buildings, and the streets they form, and particularly of our homes which comprise the vast majority of buildings, will have a 

profound effect on the quality of our lives. However geospatial data on buildings, required to measure and improve quality and performance in the stock, continue to be highly fragmented, and are difficult to access in the UK and in many other countries.

Buildings and building construction are responsible for around 40% of global energy use, and 24% of global material extraction from the lithosphere. Tightening of international energy and waste legislation since the 1990s has led to a major shift in Europe, from a focus mainly on new buildings to the stock as a whole and the need to to reduce energy and waste flows, and increase resilience within it. Tracking the demolition and retrofit of buildings, which are complex finite resources, and measuring the scale of material extraction and energy and waste flows generated through churn in the stock are now of increasing concern.


This has created an urgent demand from scientists for more detailed data on the characteristics of buildings for analysis, monitoring, and for simulations and forecasting models. Though large-scale building attribute datasets are being released in some countries (e.g. property tax datasets), in the UK, attribute data remain remain heavily restricted even for academic research. 

Colouring London and the Colouring Cities Research Programme have been set up in response to this situation, and test a new type of open knowledge exchange platform. This centres around an open database designed to collate, capture, generate and drive the release of open building attribute data, and to provide open platform code facilitating platform reproduction. The key aim of the CCRP is to work across countries to support the objectives of the United Nations 2016 New Urban Agenda and its goal to promote the development of sustainable, inclusive, healthy and resilient cities and stocks 


Colouring London has been designed to explore how high quality open data on stocks can be made available as quickly, efficiently and cheaply as possible, to improve the sustainability, resilience and quality of national building stocks building stock and to support the UN New Urban Agenda. The Colouring Cites Research programme looks at how prototype design can be enhanced through international research collaborations, and made easy to copy.


The platform looks at ways in which to collect data on the composition, quality, performance, and dynamic behaviour of the building stock. Specific questions include: What are the size, age, form, and use of buildings? Where are different types of building located? Which are the most resilient/long lasting and adaptable and why? What types do citizens think work best? And how can we best reuse and retrofit these valuable, complex resources so as to reduce urban resource wastage and support global sustainable development goals? 


We're collecting twelve main types of data, shown below, and over fifty types of data subcategories though we don't visualise them all. You can find out more about them here









All data we collect about buildings and homes is free for others to use e.g relating to location/address, use , age, size, construction materials, design team, energy performance ratings, site history, planning status, and whether citizens think the building contributes to the city as a whole, and whether it is publicly/community owned


Datasets such as those providing location coordinates, energy performance  certificates (EPCs), height data and planning data are are already released by government as open data. We do not collect personal data, other than email addresses (so that you can reset your password if you wish), nor data relating to the interior of homes (as for example shown on property websites) as we consider this to be private space, though we do collect data on the interior of public buildings. 

We have grouped types of data we think we need to collect into twelve categories to keep things simple. These contain over 50 data subcategories.

The first seven categories (up to Streetscape) provide information on the characteristics of buildings, and their physical context and use. The remaining five categories have dual functions.  'Team' explores methods of, both, collecting data on who built and designed a building,  and of enabling quality of construction industry output to be tracked  against industry awards, energy performance data and user feedback on quality. 'Planning' provides the opportunity to test live streaming of data as part of a colour-coded traffic light system to enable the planning status of buildings to be viewed in real time. 'Sustainability' allows for the value of new data categories such as 'repairability' and adaptability' ratings to be debated. 'Dynamics' looks at new ways to generate lifespan data for use in the assessment of stock vulnerability and typology survival rates. And 'Community' allows statistical data on how well residents think a building works to be gathered, and for loss of buildings, typologies and uses considered of value to the local community to be tracked. 

We're grateful to the many expert bodies that have have advised us during Colouring London's first stage from community planning groups and government departments, to industry experts and research institutions. Additions and alterations to these will occur as the live prototype testing project evolves and are always keen to hear of other types of building attribute data that may be of use. We are currently improving our feedback mechanisms



Our database is being produced by testing, for the moment, four different approaches to data capture.  First is the collation of existing open spatial datasets on buildings, which in the UK are rare. This is also done (in the UK context) to demonstrate to government departments, the critical importance of a data collation and a concerted effort towards open data release, to improve efficiency within the stock, assist in urban problem solving and support the UK's transition to a low carbon economy. Building footprints and property tax data, both held by the government, are the two main kinds of data that urgently need to be released.


The second approach tested is crowdsourcing, as used by other open knowledge platforms such as OpenStreetMap and Wikipedia. This requires interface features to be designed with different audiences to facilitate expert input from citizens, who actually use buildings and know how well they work for users,  to experts researching into, designing, building, monitoring, protecting and managing them. The platform also tests new types of feature including the Dynamics tool used facilitate transformation of historical information, by historians, into spatial statistics for use by scientists in forecasting models, evolution animations and planning simulations. 


The third approach is to apply computational approaches to existing attribute data, to generate new large-scale datasets. The accuracy of generated attributes can then be verified by experts through the crowdsourcing process, allowing for the development of feedback loops between crowdsourcing and computational methods.

We we also be testing the live streaming of planning data to create a visual traffic light systems. The aim is to provide a real time visual overview of change occurring in the city, and to help citizens, local authorities and developers communicate better in relation to the long-term benefits, socio-cultural, environmental

and economic, of proposed schemes


Colouring London is designed for anyone interested in finding out about and/or constructively sharing knowledge on London's buildings. This includes residents, local authorities, local planning groups, and housing and construction industry professionals involved in the design, repair, construction, conservation and management of the city's buildings. The platform is also designed for use in education and research, by schools, universities, policy makers and community groups, as well as by individual citizens. Anyone can also view, add to, and download our data from anywhere in the world. 

Our open code is designed to stimulate experimentation and innovation in open platform design and data collection relating to the building stock. The Colouring Cities Research Programme (CCRP) has also been set up, to facilitate UK wide rollout, and to help international research institutions, involved in sustainable city research, build and test their own research-led national, regional or city focused platforms. Funding is currently also being applied for, with a range of UK research partners, to enable focused research on specific areas of content and design. 


Colouring London, and the Colouring Cities Research Programme (CCRP), are research-led initiatives managed by The Alan Turing Institute (ATI), the UK's national institute for data science and artificial intelligence, which is based in the British Library, London.

Colouring London was developed at The Centre for Advanced Spatial Analysis, University College London, from 2014 as part of a four year research study funded by the UK's Engineering and Physical Sciences Research Council (EPSRC). Historic England, Ordnance Survey and The Greater London Authority have been core partners from 2016. Platform design has also been informed by input from many partners - working in urban science, energy, architecture, architectural history, planning, sustainable heritage, building technology, public education, communications, community planning and open data - as well as by UK and international research groups, and by individual Colouring London contributors and its team.

In 2020 Colouring London moved to the Alan Turing Institute, where the CCRP was set up as a mechanism to support research-led prototype reproduction and to meet growing interest from international research institutions. It is run by a small multidisciplinary team that brings together expertise from the arts, humanities and science (on buildings, urban heritage, open software development, collaborative maintenance systems, free knowledge exchange tools relating to the building stock, energy and graphic design). 


The management model is designed to be as sustainable and low cost  as possible. Colouring London and the CCRP are run by a small core funded team (equal to 2 full time posts), within Turing Institute's Urban Analytics Programme. The Institute provides the project with research management and access to software engineering expertise, as well as links to multidisciplinary research networks and to knowledge held within Turing's Special Interest Groups (SIGs). The team is responsible for London prototype testing and development, and Colouring Britain rollout, and CCRP management. It also works in close collaboration with externally funded researchers, and with Colouring Cities' international partners, on prototype design and open code reproduction and on other research areas  relating to sustainability within the stock of mutual interest.


The team is also building the foundations of Colouring London's collaborative maintenance system which will allows expert bodies and individuals, at local, regional and national scale, to help take responsibility for managing and updating specific datasets, and for checking data produced using automated methods. 


The Colouring Cities Research Programme team is core funded by the Alan Turing Institute. Colouring London's initial development, at UCL, was made possible through an Engineering and Physical Sciences Research Council grant (EPSRC, DTG) provided by the Bartlett Centre for Advanced Spatial Analysis, and by the first of two grants from Historic England's Heritage Protection Commission. The project has also received funding from the MacArthur Foundation, UCL Innovation and Business, Innovate UK and the Geospatial Commission. In addition it has been offered significant help-in-kind by UCL, the Alan Turing Institute, Ordnance Survey and Historic England, as well as free advice and input from many other project partners, for which we are extremely grateful. 


The UK programme is made possible through a collaboration with Ordnance Survey (OS) and the Greater London Authority (GLA). This has allowed outlines for every building in London to be used to collate, collect and visualise data for the platform prototype. 


We're hoping to involve as many audience groups as possible in the process of creating and updating beautiful, informative maps. Colouring London's maps can be seen as series of giant jigsaw puzzles, designed to help solve certain types of problem, where, by colouring-in building footprints with information on building i.e. on their form and use, on how well they work and how they fast they change, contributors can help reveal patterns in the data, and insights into the stock as a dynamic system, never seen before. 


If you want to edit data you just need to be over 13 to sign up or, if you're younger, to have a parent or guardian do this for you. (We're working on a teacher sign up for schools).  Every entry is valuable to us, however we are looking for data that's as accurate as possible. Our easiest category to add to is the 'Community' section' which includes questions on how well you think different types of building work. We've included this both to capture information on building quality and performance, and to encourage residents and schools to join in.

If you're a resident the easiest way you can help us is by just adding information on the physical characteristics of your home or street, and telling us of any buildings you think work well.  If you're a civic society, or interested in historical research we'd love your help with our 'Age' and 'Dynamics' categories. If you're a school you could make a huge contribution by adding information on land use and storeys  (schools were in fact main contributors to Britain's first land use survey run at the London School of Economics in the 1930s). If you're an architecture student perhaps you could upload relevant statistics from your course work?


If you're a local authority or professional body you can send us bulk uploads for visualisation and verification to support your public facing work. If you're involved in the property and construction industry you can use our free data for your planning context analyses. You can also help by adding information on your past or current developments, and by encouraging others in the industry to do the same . This will help lower costs and increase accuracy of context data in future.


We are also working with researchers to test and upload datasets they have produced using computational approaches.


Colouring London has been inspired  by many initiatives but primarily by the Building Exploratory, (designed in the 1990s as a model, for physical centres and Geographic Information Systems (GIS) providing information on the built environment, built by and for communities with academia, government, industry and the third sector); by the open data and open knowledge movement and open databases such as Wikipedia and OpenStreetMap; and by London's tradition of beautiful, informative, maps of the city (see Booth's poverty maps, Goad insurance maps, and the London County Council's World War 11 bomb damage maps), on which buildings are coloured at building or block level. 

Other influences include Citizen Science projects such as Galaxy Zoo;  English Heritage's Historic Landscape Characterisation programme (from the 1990s); 'Know your place'; IHS's 'Layers of London'; The Survey of London/CASA 'Whitechapel' project; international building data age visualisations using property tax data (from 2013), and by visualisations produced by researchers in Japan, Switzerland, Germany and the UK, illustrating change to stocks over long periods of time. 

Many individuals and organisations - as shown on our Who's Involved? page, in our edit histories, and on our Leaderboard,  have helped design and test the platform and we will continue to adjust and improve the platform design and content to try to address user comments needs.  If you're working on a similar type of platform anywhere in the world, or using similar categories of data we'd also love to hear from you and to feature your work on our forthcoming 'Data Showcase' page.


Colour is a core feature of Colouring London. It is used to stimulate curiosity, as a thank you to users,  and to encourage people to add data to reveal urban patterns never seen before. It is also used to create a relaxing and rewarding experience for data contributors. Our work on colour palettes is at an early stage and we are currently looking at ways to design features of enabling more engagement from artists and designers.


A long tradition of hand-coloured building maps exists in London. The most spectacular examples include the Booth Poverty Map,The LCC Bomb damage maps, The Goad maps and the interwar maps produced by the City of London. Coloured maps showing

building characteristics for an entire city or town have until recently been rare, despite their production in Germany and Austria, as part of urban morphology studies, in the first half of the 20th century,

Since 2013, stunning online colour visualisations of property age have been generated for a growing number of cities, as property tax data are released around the world. Created by independent web developers such as Justin Palmer, Thomas Rhiel, Bert Spaan and Brandon Liu, these illustrate the power and beauty of detailed colour-coded data visualisations of the building stock, and the potential to learn from patterns held within them .


Colour-coded visualisations of changes to the physical composition of cities over time, such as those produced  in academic studies by Hiroki Tanikawa and Seiji Hashimoto in Japan, are also becoming of increasing importance in scientific research. These are being used to improve understanding of the 'metabolism' of cities and rates of  energy and waste flows. 

Using colour also helps to firmly demonstrate the importance of working across the arts,  humanities and science, in the development of tools designed to aid urban problem-solving and the development of sustainable cities. 


Yes and we encourage it. Any city can use our open platform code available on GitHub as long as they follow the terms of use.  In the Uk we have been testing the prototype for London first to provide proof of concept and identify any initial problems. Our plan is then to then work with Ordnance Survey demo how the open code allows for a simple scaling-up to cover Britain as a whole. 

Though anyone can experiment and innovate with our code, the Colouring Cities Research Programme (CCRP) has been set-up as a mechanism to support research-led reproduction. This is a branded programme designed to support international research institutions wishing to reproduce the concept and code, and which focuses on UN New Urban Agenda issues Our current CCRP partners are: The American University of Beirut (Colouring Beirut); The University of Bahrain & the Bahrain Authority for Culture and Antiquities (Colouring Bahrain); The University of New South Wales (Colouring Australia); The National Technical University of Athens (Colouring Athens); The Leibniz Institute for Ecological Urban and Regional Development (Colouring Dresden); King’s College London & Institut Teknologi Bandung (Colouring Indonesia), and The Colour Research Institute, China Academy of Art.

are you only collecting

information on buildings?

Yes, at present, our focus is on the building stock owing to its importance, its complexity and scale, and the current difficulty in many countries in accessing open building attribute data for cities at building level. However we plan over the next year to integrate and layer many other types of infrastructure/environmental data, relating for example to transportation, flood risk, geology, and historical evolution.


Our Data Accuracy Agreement highlights to users that Colouring London data are gathered from multiple sources and may contain errors. If you can add sources and check our data entries it would greatly appreciated. This  is important not only to increase accuracy in the data but also to help users assess reliability, and suitability for specific applications (i.e. for a primary school project or a policy document).


Work on reliability and accuracy, and uncertainty  is ongoing and the following features are currently being, or are about to be tested:

  • a visible edit history, Like Wikipedia and Open Street Map, Colouring London has been designed as collaborative maintenance initiative - though crowdsourcing here is only one of a number of data production methods. This approach allows logged-in users to edit any data entry if they don't agree with it. Visible edit histories area already a standard feature of OSM and allow users to view who last edited data on the building to make a judgement on the reliability of the editor. Editors must sign-up to edit and agree to a code of behaviour. Edit histories also allow quality of data from similar or different sources to analysed and compared.

  • an icon showing the method of data capture e.g a) upload byTuring of bulk open dataset produced by an expert body, b) crowdsourcing from the community building by building, c) generation using computational methods and inference, d) live streaming, e) other.

  • types of source for crowdsourced data e.g. website, book, viewed in situ etc.

  • option to add a weblink to an external source.

  • prompt requiring a source to allow data to be saved. 

  • a verification option that can be ticked, with a single verification permitted per user. A confetti burst has been added to help thank editors for checking data.

  • Indication of levels of uncertainty e.g earliest or latest possible construction date.  Further consultation is known to be required here with experts involved in working with each type of data. 

  • Individual colouring of buildings using copy and paste tools, (though bulk uploads can be submitted to CASA for moderation) to prevent large areas being highlighted and changed . 

  • All editors are asked to sign our data ethics agreement to ensure constructive input. 

  • Updating data to increase accuracy is another important but complex issue. This relies on access to Ordnance building footprint updates each year. This is most relevant to data relating to, for example, land use and planning status, where change is relatively frequent in contrast say to building age, which will only  require updating until the building is demolished or a major extension added.

  • Feedback loops between automated approaches and expert crowdsourcing are also being tested

  • Work on the testing of the feasibility of developing citywide networks of community/civic groups, already involved in local planning and heritage protection, interested in helping add check and update data, is underway  oops between automated processes and expert individual building editing will be key to improving data quality in future.

Further information on privacy and moderation are included on our Data Ethics page.


We are using Ordnance Survey MasterMap (OSMM) polygons/ building footprints as these are the most comprehensive, precise, up-to-date footprints available to us. Comprehensive cover is essential as each footprint doubles as an individual mini filing cabinets able to collate and visualise data. OSMM provides 100% footprint coverage for Britain, geometric precision, systematic updating, and the tracking of footprint lifecycles and are a crucial ingredient in openbuilding attribute data platform development. Without footprints, spatial data on buildings, current and historical, cannot be collated, captured, visualised or released, nor can spatial patterns relating to composition and change be analysed and understood. Point data visualisations are also also of much more limited use in terms of human (rather than computer) recognition of patterns providing insights specific urban problems.

OSMM building footprints are contained within the OS MasterMap Topography Layer product, overseen by the UK's department for Business, Energy and Industrial Strategy (BEIS) and managed by Ordnance Survey, the UK’s national mapping agency . These also provide information on spatial location, building geometry, floor area, perimeter and number and size and shape of walls, and can assist in the inference of other characteristics, such as age, height and 3D form. Extrusions from footprints can also be used to generate simple 3D models.

The Colouring London prototype has been developed though a public sector licence, in collaboration with Ordnance Survey and the GLA. This allows OSMM footprints for London to be used to capture and visualise data, but unlike OpenStreetMap, does not (as yet) allow either footprints or addresses for London to be downloaded/made publicly available. 

The strategy is now to work , under the restricted terms to terms, with local, regional, national, and international collaborators, to help demonstrate why full release of OSMM is so critical to accelerate progress towards UN New Urban Agenda sustainability goals.

Though OpenStreetMap provides an enormously important repository for open data on cities, at a global level, with its work playing a crucial part in the opening up of UK infrastructure data, the coverage, accuracy and precision of crowdsourced footprints for the UK data does not currently compare with OSMM's rigorously controlled and updated footprints, produced by mapping experts  nor with OSMM's 100% coverage across Britain. These factors are extremely important in the generation of high quality, volume for use  scientific analysis and modelling.

However rapid progress is improving global scale of footprint coverage is being made through Microsoft/Bing’s collaboration with OSM, and its application of artificial intelligence to satellite imagery, to generate open footprints. This has so far produced open footprint datasets for the US, Canada, Uganda and Australia, which are being integrated by OSM, alongside open street-network and international national mapping agency data (where available) as well as other types of open, crowdsourced, geoinformation.


The OSM/Microsoft partnership is extremely important in that it means that footprints are likely to become increasingly available at global scale (with the quality of these able to be improved through parallel release by national mapping agencies), opening up offering opportunities for scientific analysis of diverse types of building attribute data at global scale.  


Colouring London is a statistical database, set up in large part to help increase scientific analysis of the building stock.  We collate, collect,  visualise and generate spatial statistics. Our categories use dropdown menus and avoid freetext boxes wherever possible to maximise site security, though weblinks can be added to relevant website pages.  For further information please see our Data Ethics page.

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