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	<title>LiquidFoot &#187; mapping</title>
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		<title>Map Hacking</title>
		<link>http://www.liquidfoot.com/2009/11/17/map-hacking/</link>
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		<pubDate>Wed, 18 Nov 2009 02:28:37 +0000</pubDate>
		<dc:creator>Wayne</dc:creator>
				<category><![CDATA[Programming]]></category>
		<category><![CDATA[gis]]></category>
		<category><![CDATA[mapping]]></category>

		<guid isPermaLink="false">http://www.liquidfoot.com/?p=314</guid>
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			<content:encoded><![CDATA[<p>We&#8217;ve been hosting an NEH Institute for Enabling Geospatial Scholarship this week and we have a lot of different folks coming together to talk about mapping issues in higher education. I almost haven&#8217;t been able to keep my delicious tagging up with all the kewl new tools folks have been talking about.</p>
<p>One thing I did try out this evening when I got home was <a href="http://www.mapstraction.com/">Mapstraction</a>. My wife has a set of data (reading test scores) that she&#8217;s been wanting to look at to see if there were neighborhoods where students were underperforming. Using a short ruby script (with the graticule gem), I geocoded addresses, calculated a median score across five reading tests, then plotted them using Mapstraction. At the top, I added some slider controls for filtering the data points, and viola, a really quick-and-dirty interactive map that lets her quickly filter ranges of scores to start looking for patterns.</p>
<p>Now to tweak the algorithm for generating the scores&#8230;</p>
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