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	<title>The Graphient Blog &#187; maps</title>
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	<link>http://blog.graphient.com</link>
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		<title>Mapping the Two-Party Vote</title>
		<link>http://blog.graphient.com/2010/12/20/mapping-the-two-party-vote/</link>
		<comments>http://blog.graphient.com/2010/12/20/mapping-the-two-party-vote/#comments</comments>
		<pubDate>Mon, 20 Dec 2010 20:37:55 +0000</pubDate>
		<dc:creator>asjs</dc:creator>
				<category><![CDATA[General]]></category>
		<category><![CDATA[things we liked]]></category>
		<category><![CDATA[maps]]></category>
		<category><![CDATA[time]]></category>
		<category><![CDATA[visualization]]></category>

		<guid isPermaLink="false">http://blog.graphient.com/?p=169</guid>
		<description><![CDATA[High five to David Sparks for this Isarithmic History of the two party vote in America from 1920 to 2008. This is one of those cases where animation really tells the story of the data. The data is sampled at the county level and for the purposes of clear presentation has been spatially and temporally [...]]]></description>
			<content:encoded><![CDATA[<p>High five to David Sparks for this Isarithmic History of the two party vote in America from 1920 to 2008. This is one of those cases where animation really tells the story of the data. The data is sampled at the county level and for the purposes of clear presentation has been spatially and temporally interpolated. Enjoy.</p>
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		<title>Open Data is Magic</title>
		<link>http://blog.graphient.com/2009/11/08/open-data-is-magic/</link>
		<comments>http://blog.graphient.com/2009/11/08/open-data-is-magic/#comments</comments>
		<pubDate>Sun, 08 Nov 2009 21:34:24 +0000</pubDate>
		<dc:creator>asjs</dc:creator>
				<category><![CDATA[things we liked]]></category>
		<category><![CDATA[go internet go]]></category>
		<category><![CDATA[maps]]></category>
		<category><![CDATA[Open Data]]></category>
		<category><![CDATA[real time]]></category>
		<category><![CDATA[visualization]]></category>

		<guid isPermaLink="false">http://blog.graphient.com/?p=145</guid>
		<description><![CDATA[Coming across our desk via tweet from Sir Time Berneers Lee: an amazing (if not amazing looking) google maps based data mashup showing marine traffic throughout the world. That is to say, Real Time (not really but close) data showing position, speed and heading for ships throut the worlds major shipping lanes. The Mashup runs on top [...]]]></description>
			<content:encoded><![CDATA[<div id="attachment_146" class="wp-caption aligncenter" style="width: 510px"><a href="http://www.marinetraffic.com/"><img class="size-full wp-image-146" title="marinetraffic" src="http://blog.graphient.com/wp-content/uploads/2009/11/marinetraffic.jpg" alt="geolocation + open data = awwesome" width="500" height="313" /></a><p class="wp-caption-text">geolocation + open data = awwesome</p></div>
<p>Coming across our desk via tweet from Sir Time Berneers Lee: an amazing (if not amazing looking) google maps based data <a href="http://www.marinetraffic.com/">mashup</a> showing marine traffic throughout the world. That is to say, Real Time (not really but close) data showing position, speed and heading for ships throut the worlds major shipping lanes. The Mashup runs on top of a big open data set hosted by the Department of Product and Systems Design Engineering, University of the Aegean, Greece. More information about the project can be found at the <a href="http://opendotdotdot.blogspot.com/2009/11/blog-post.html">open dot dot dot</a> blog. <a href="http://www.marinetraffic.com/">Anyway go check it out.</a></p>
<p>One funny thing, it shows traffic on canals and rivers, so when you first look at the map you may wonder why there are forty boats in Missouri.</p>
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		<item>
		<title>Recreating cities from flickr</title>
		<link>http://blog.graphient.com/2009/09/29/recreating-cities-from-flickr/</link>
		<comments>http://blog.graphient.com/2009/09/29/recreating-cities-from-flickr/#comments</comments>
		<pubDate>Tue, 29 Sep 2009 19:57:58 +0000</pubDate>
		<dc:creator>asjs</dc:creator>
				<category><![CDATA[things we liked]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[maps]]></category>
		<category><![CDATA[visualization]]></category>

		<guid isPermaLink="false">http://blog.graphient.com/?p=140</guid>
		<description><![CDATA[The team behind the core technology that became photosynth is taking things to a much higher level. Sameer Agarwal and his band of computer vision desperadoes rebuilt Rome (or a reasonable simulation thereof) in just under 24 hours. This feat was pulled off using 150,000 images pulled from Flickr and some extremely hot computer vision [...]]]></description>
			<content:encoded><![CDATA[<div id="attachment_141" class="wp-caption aligncenter" style="width: 627px"><img class="size-full wp-image-141" title="Colosseum" src="http://blog.graphient.com/wp-content/uploads/2009/09/colis.jpg" alt="So, so cool." width="617" height="363" /><p class="wp-caption-text">So, so cool.</p></div>
<p>The team behind the core technology that became <a href="http://www.google.com/search?q=ted+photosynth&amp;ie=utf-8&amp;oe=utf-8&amp;aq=t&amp;rls=org.mozilla:en-US:official&amp;client=firefox-a">photosynth</a> is taking things to a much higher level. Sameer Agarwal and his band of computer vision desperadoes rebuilt Rome (or a reasonable simulation thereof) in just under 24 hours. This feat was pulled off using 150,000 images pulled from Flickr and some extremely hot computer vision research.</p>
<p>Check out the digest version <a href="http://www.newscientist.com/article/mg20327275.300-entire-cities-recreated-from-flickr-photos.html">here</a> and the full nerd monty <a href="http://grail.cs.washington.edu/rome/">here</a>.</p>
]]></content:encoded>
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		</item>
		<item>
		<title>Mapping Crime</title>
		<link>http://blog.graphient.com/2009/07/17/mapping-crime/</link>
		<comments>http://blog.graphient.com/2009/07/17/mapping-crime/#comments</comments>
		<pubDate>Fri, 17 Jul 2009 19:23:08 +0000</pubDate>
		<dc:creator>asjs</dc:creator>
				<category><![CDATA[General]]></category>
		<category><![CDATA[Context]]></category>
		<category><![CDATA[Fre-for-all-friday]]></category>
		<category><![CDATA[Graphient]]></category>
		<category><![CDATA[Impressed]]></category>
		<category><![CDATA[maps]]></category>
		<category><![CDATA[visualization]]></category>

		<guid isPermaLink="false">http://blog.graphient.com/?p=132</guid>
		<description><![CDATA[FlowingData has a nice post today rounding up 20 data visualizations related to crime and criminals. Most revolve around maps with temporal components shoehorned into a few. We love maps here at Graphient. We love them for how they visually describe space, and we really love them for the way they provide a fixed contextual [...]]]></description>
			<content:encoded><![CDATA[<div id="attachment_133" class="wp-caption alignleft" style="width: 507px"><a href="http://flowingdata.com/2009/06/23/20-visualizations-to-understand-crime/"><img class="size-full wp-image-133" title="fd" src="http://blog.graphient.com/wp-content/uploads/2009/07/fd.jpg" alt="FlowingData, if you don't already read them: start now" width="497" height="132" /></a><p class="wp-caption-text">FlowingData, if you don&#39;t already read them: start now</p></div>
<p><a href="http://flowingdata.com/">FlowingData</a> has a <a href="http://flowingdata.com/2009/06/23/20-visualizations-to-understand-crime/">nice post</a> today rounding up 20 data visualizations related to crime and criminals. Most revolve around maps with temporal components shoehorned into a few. We love maps here at <a href="http://graphient.com/">Graphient.</a> We love them for how they visually describe space, and we really love them for the way they provide a fixed contextual grid for organizing other kinds of data. The map visualizations presented at FlowingData stop short of adding in other data and stick to simply reporting the facts of crime, but those maps could have been used to introduce and connect all sorts of other (possibly sensitive) socioeconomic data and maybe tell a deeper story about crime.</p>
]]></content:encoded>
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		<item>
		<title>Physical Data</title>
		<link>http://blog.graphient.com/2009/06/30/physical-data/</link>
		<comments>http://blog.graphient.com/2009/06/30/physical-data/#comments</comments>
		<pubDate>Tue, 30 Jun 2009 21:57:10 +0000</pubDate>
		<dc:creator>asjs</dc:creator>
				<category><![CDATA[General]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[maps]]></category>
		<category><![CDATA[visualization]]></category>

		<guid isPermaLink="false">http://blog.graphient.com/?p=118</guid>
		<description><![CDATA[Last week I was in Boston briefly and thanks to a logistical spasm I had the opportunity to ride the Silverline from Logan Airport to South Station. While waiting for said Silverline I encountered this map:
I took a picture of the map because of the wear pattern created by countless travelers tracing their fingers over [...]]]></description>
			<content:encoded><![CDATA[<p>Last week I was in Boston briefly and thanks to a logistical spasm I had the opportunity to ride the Silverline from Logan Airport to South Station. While waiting for said Silverline I encountered this map:</p>
<div id="attachment_116" class="wp-caption alignnone" style="width: 421px"><img class="size-full wp-image-116 " title="map01" src="http://blog.graphient.com/wp-content/uploads/2009/06/map01.jpg" alt="Detail of Boston's subway system." width="411" height="308" /><p class="wp-caption-text">Detail of the map in question.</p></div>
<p>I took a picture of the map because of the wear pattern created by countless travelers tracing their fingers over it. In that wear pattern we can see those travelers working out their routes on the Silverline and picking out the different transfer points throughout the system. In essence the map carries a second channel of data relative to the first. Of course this second channel is pretty unscientific <a href="http://blog.graphient.com/2009/05/12/meet-jer-thorp/">but we haven&#8217;t let that stop us from appreciating the aesthetics of information presentation before</a> and we won&#8217;t start now.</p>
<p>Later in the day I was talking to my Dad about this phenomena, and the idea that data is being recorded in the physical world all around us, all the time, simply by the way we use things. He mentioned <a href="http://en.wikipedia.org/wiki/Wells_Cathedral">Wells Cathedral</a> in Somerset, England. The stone stairs of the cathedral&#8217;s chapter house date to 1306, and they have been eroded along the preferred path worshippers and clergy have taken ascending and descending those stairs all these years.</p>
<div id="attachment_138" class="wp-caption alignleft" style="width: 310px"><img class="size-full wp-image-138" title="steps" src="http://blog.graphient.com/wp-content/uploads/2009/06/steps.jpg" alt="Those very steps" width="300" height="429" /><p class="wp-caption-text">Those very steps</p></div>
<p>While much of this naturally recorded information is of limited utility or has ambiguous meaning, we find ourselves oddly stimulated by the idea that a channel of information is projected onto the world in this way.</p>
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