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	<title>Data &#38; Stuff // Neil Houston &#187; guardian environment hackday data visualisation urban population</title>
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		<title>Guardian DataBlog &#8211; Environmental Hackday</title>
		<link>http://rasga.co.uk/2009/07/30/guardian-datablog-environmental-hackday/</link>
		<comments>http://rasga.co.uk/2009/07/30/guardian-datablog-environmental-hackday/#comments</comments>
		<pubDate>Thu, 30 Jul 2009 22:43:00 +0000</pubDate>
		<dc:creator>Neil H</dc:creator>
				<category><![CDATA[Public Data]]></category>
		<category><![CDATA[Visualisation]]></category>
		<category><![CDATA[guardian environment hackday data visualisation urban population]]></category>

		<guid isPermaLink="false">http://rasga.co.uk/?p=57</guid>
		<description><![CDATA[In response to the Guardian Data Blog &#8211; Environmental Hackday, I decided to take my first look at some data regarding the environment.  I originally envisaged this as a world map, looking at the difference between the 1950 actual to the 2030 prediction.
The main issue with this was that the visualisation did not allow an [...]]]></description>
			<content:encoded><![CDATA[<p>In response to the <a href="http://www.guardian.co.uk/news/datablog/2009/jul/30/hackday">Guardian Data Blog &#8211; Environmental Hackday</a>, I decided to take my first look at some data regarding the environment.  I originally envisaged this as a world map, looking at the difference between the 1950 actual to the 2030 prediction.</p>
<p>The main issue with this was that the visualisation did not allow an easy scale or difference, as most countries in WE/EE etc are very similiar % wise.  The disparity comes when you compare Africa to North America and suchlike.</p>
<p>Therefore below, is a very quick visualisation of the spread of populations, by country that exist in the &#8216;urban environment&#8217;.  To do this, I turned the original spreadsheet (<a href="http://spreadsheets.google.com/ccc?key=tY7GTuivONTNuoceJKe-qTg">Percentage of global population living in cities</a>) into a 3 column layout of, Country, Population % and Year (To Be Published Soon).</p>
<p>I used a vertical layout, descending by the most % to least, so we can see that places like Monaco are obviously nigh 100% whereas in Burundi, in 2030 it is predicted that less than 25% of the population will be in cities.</p>
<p>[more to come - it's late - bad point about this - tooooo much information]</p>
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<p><img class="alignnone size-full wp-image-60" title="Top to Bottom - Urban Populations - Vert" src="http://rasga.co.uk/_wp/wp-content/upload/2009/07/Top-to-Bottom-Urban-Populations-Vert1.png" alt="Top to Bottom - Urban Populations - Vert" width="1038" height="4515" /></p>
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