260 lines
8.6 KiB
HTML
260 lines
8.6 KiB
HTML
<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<meta http-equiv="X-UA-Compatible" content="ie=edge">
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<title>FAQ | Colouring London</title>
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<link rel="stylesheet" href="main.css?v=5ed692a6">
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</head>
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<body>
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<a href="index.html" class="logo" id="top">
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<div class="grid">
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<div class="row">
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<div class="cell"></div>
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<div class="row">
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</div>
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<div class="row">
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</div>
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</div>
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<h1 class="logotype">
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<span>Colouring</span>
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<span>London</span>
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</h1>
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</a>
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<article class="main-col">
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<h1 class="h1">Frequently Asked Questions</h1>
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<dl>
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<dt class="h2">Why have you set up the project?</dt>
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<dd>
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Initially we set out to collect and share numerical and categorical data
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relating to the age and land use of buildings for research into the built environment and
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demolition, but we soon realised that the opportunity existed to capture many
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more types of data for use in all sorts of areas: from local history and
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heritage to building conservation, sustainable urban planning, architecture and
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the built environment.
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</dd>
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<dt class="h2">Who is it designed for?</dt>
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<dd>
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Anyone interested in London and its buildings and anyone interested in cities
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and large-scale building attribute datasets.
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</dd>
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<dt class="h2">How will the data be used?</dt>
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<dd>
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We have some ideas, but we also hope to be surprised! Our main task is to
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enable the collection, collation, visualisation and dissemination of the data.
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We are very excited to see how they are used. To help stimulate discussion and
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ideas we will include a data showcase which will allow anyone to share examples
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of how they use Colouring London data, and to provide examples of how similar
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datasets are being used elsewhere in the UK and around the world.
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</dd>
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<dt class="h2">Is there anywhere else you can access this type of information at building level?</dt>
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<dd>
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No, not for London as a whole. The Valuation Office Agency holds the most
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comprehensive records for tax purposes, but these are restricted at the building
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level, even for research within academia.
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</dd>
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<dt class="h2">Why aren’t you crowdsourcing textual information on the history of buildings?</dt>
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<dd>
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Our main focus is to collect data for modelling and statistical analysis, where
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numerical and categorical data tends to be most useful. However, we will
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collect links to other sites where text based information on a building can be
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created and shared. The <a href="http://alpha.layersoflondon.org/"
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target="_blank">Layers of London</a> project by the Institute for Historical
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Research and the <a href="https://surveyoflondon.org/map/"
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target="_blank">Histories of Whitechapel</a> project by the Survey of London
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and the Bartlett Centre for Advanced Spatial Analysis (CASA) both have an
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interest in text (and audio and photographs). We are working in close
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collaboration with both projects.
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</dd>
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<dt class="h2">Why did you choose these categories of data?</dt>
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<dd>
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We have had conversations with many different groups, from academics and
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teachers to community groups and built environment professionals, and found
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many overlaps. We have limited ourselves to 12 main categories to keep things
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simple, within which there are around thirty sub-categories. The prototype
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testing period will allow us to see whether there are any key categories
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missing—feedback is welcome.
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</dd>
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<dt class="h2">How will you deal with people who may want to disrupt the system? </dt>
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<dd>
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Our intention is to cultivate a community which can handle occasional
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disruption, along the lines of other collaborative online projects. The site
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will allow anyone to upload and edit data as they like and to go back and forth
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over the details if necessary. Quantitative data on the building stock is, we
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hope, not too controversial, other than perhaps for large developments. The
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locations of utilities’ may be sensitive, but this is not within the main
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scope of our data collection. For the ‘Like me’ category, users
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will have only one vote per building.
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<dt class="h2">How do you deal with people who enter ‘wrong’ information.</dt>
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<dd>
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Like Wikipedia, we as a community will have to keep re-editing, however edit
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histories will help users see where data comes from, for example if it is
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uploaded by a specialist body.
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</dd>
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<dt class="h2">What about the spaces in between buildings?</dt>
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<dd>
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We recognise the importance of this but in the first instance we will only
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gather data on the buildings themselves. We will however include a sub-category
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which records a building's position, i.e. mid-terrace, end-of-terrace,
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semi-detached or detached.
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</dd>
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<dt class="h2">What do you do about multiple uses that the footprint doesn’t record?</dt>
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<dd>
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We intend to record as many uses per building as necessary.
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</dd>
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<dt class="h2">What if several buildings are represented as a single outline?</dt>
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<dd>
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We rely on Ordnance Survey MasterMap for our building outlines, so if these are
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not subdivided, we will need to attach extra data to the single outline, or
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else consider altering the outlines manually. Some buildings have the opposite
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problem, where there are multiple polygons for a single building. For example
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some post-war estates have each of the balconies drawn separately. Our hope is
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that the project will stimulate discussion with Ordnance Survey regarding a
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more user friendly open version of the building outlines.
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</dd>
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<dt class="h2">Can this be rolled out to other cities?</dt>
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<dd>
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Yes, in principal. We hope that Colouring London will act as a proof of
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concept. We rely on a sufficient set of building outlines to provide the basis
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for all the building attribute data that we collect—for London, Ordnance
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Survey and the Greater London Authority have supported us by providing
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the MasterMap building outlines.
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</dd>
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<dt class="h2">Have you involved OpenStreetMap in the project?</dt>
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<dd>
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Yes, we had a discussion with OpenStreetMap contributors at an international
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mapping conference in Leuven last year and would very much like the
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OpenStreetMap community to become involved in the project. We hope that by
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generating data of relevance to local areas we will also stimulate increased
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interest in OpenStreetMap and in collecting building outline polygons as open
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data.
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</dd>
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<dt class="h2">Will all the data collected be released as open data?</dt>
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<dd>
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Yes, all the building attributes which we collect will be available under an
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open data license. However, we are limited by Ordnance Survey data licensing
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and are not currently able to provide building outlines or geographical
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coordinates. We will provide sufficient data for MasterMap users to link
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building attributes to their own copies of the polygons.
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</dd>
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<dt class="h2">How can communities download the data with sufficient spatial information?</dt>
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<dd>
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We will collect details of building addresses, including postcodes, as a first
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step towards providing location details. We will also look into the
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possibility of creating and sharing geographical coordinates for our
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dataset as open data, as suggested by a contributor, in collaboration with the
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OpenStreetMap community.
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</dd>
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</dl>
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</article>
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<footer>
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<a class="logo h2" href="index.html">
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<div class="grid">
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<div class="row">
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<div class="cell"></div>
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<div class="cell"></div>
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<div class="cell"></div>
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</div>
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</div>
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<div class="logotype">
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<span>Colouring</span>
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<span>London</span>
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</div>
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</a>
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</footer>
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<script src="main.js?v=1bbaabf2"></script>
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</body>
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</html>
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