221 lines
6.8 KiB
HTML
221 lines
6.8 KiB
HTML
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<!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">
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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="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 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 class="cell"></div>
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</div>
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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 class="cell"></div>
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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 just to capture and release numerical data relating to age
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and land use relevant to energy and demolition related research within
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academia, but we soon realised that the opportunity existed to capture many
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more types of data for use in multiple applications.
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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, or in cities and in large-scale
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building attribute data sets
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</dd>
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<dt class="h2">How is the data going to be used?</dt>
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<dd>
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Our main job is to facilitate the collection, collation, visualisation and
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dissemination of the data. We are very excited to see how they are used. To
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help simulate discussion and ideas we are including a data showcase which will
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allow anyone to upload examples of how they are using Colouring London data, or
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how the same data categories are being used in other areas of the world.
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</dd>
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<dt class="h2">Is there nowhere else you can access this type of information at building level?</dt>
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<dd>
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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 building
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level, even to academia.
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</dd>
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<dt class="h2">Why aren’t you crowdsourcing text-based information on a building’s history?</dt>
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<dd>
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Our remit is to collect numerical data for statistical analysis. However we
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will also include an area where a link can be added to take you to any web site
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page/pages where text based information on the building can be accessed. IHS’s
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‘Layers of London’ project http://alpha.layersoflondon.org/ and The Survey of
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London/CASA’s Whitechapel project https://surveyoflondon.org/map/. We are
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working closely with both HIS and The Survey.
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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 asked many groups, ranging from academics and teachers to community groups
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and built environment professionals and found many overlaps. We have limited
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ourselves to 12 main categories to keep things simple, within which there are
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around thity sub categories. The prototype testing period will allow us to see
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whether there are any key categories missing.
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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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Quantitative data on the building stock probably/hopefully not that
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controversial other than for large developments. Utilities’ location may be
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sensitive. We think unlikely to occur other than perhaps where issues surround
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a particular development. Here the system allows both developers and
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communities to upload and edit as they like and battle it out. For ‘Like me’,
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users have to login and have only one vote per building.
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<dt class="h2">How do you deal with people who keep entering ‘wrong’ information.</dt>
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<dd>
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Like Wikipedia you will have to keep re-editing, however edit histories will
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help users see where data comes from ie if it is 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 importance of this but we are only, in the first instance
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gathering data on buildings, themselves. We do however include information
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building position ie mid terrace, end of terrace, semi-detached and 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 can record multiple uses but are reliant on OSMM polygons so if not
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subdivided (as for UCL building) we have to either do this manually or group
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all uses under a single polygons. Our hope is that the project will stimulate
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discussion with OS regarding a more user friendly open version of the building
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footprints. Post war estates for examples have separate polygons for balconies
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etc which is not ideal.
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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 if OS permits use of polygons. Colouring London will act as a proof of
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concept.
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</dd>
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<dt class="h2">Have you involved Open Street Map in the project?</dt>
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<dd>
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We had a discussion with OSM at an international mapping conference in Leuven
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last year and would very much like the OSM community to become involved
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project. We hope that by generating data of relevance to local areas we will
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also stimulate an increase interest in OSM and in building polygon generation.
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</dd>
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<dt class="h2">How can communities download spatial information if no coordinates are given? </dt>
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<dd>
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This is the main reason why address detail collection is so important, is so
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that we can offer some spatial reference within the open tables. We will also
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be asking the OSM community if, as suggested by a contributor, it can help
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upload WGS84 coordinates.
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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#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="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 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 class="cell"></div>
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</div>
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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 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"></script>
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</body>
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</html>
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