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	<title>Jon Udell &#187; Search Results  &#187;  crimes+by+distance</title>
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		<title>Jon Udell &#187; Search Results  &#187;  crimes+by+distance</title>
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		<title>A geographic analysis of local crime data</title>
		<link>http://blog.jonudell.net/2007/08/01/a-geographic-analysis-of-local-crime-data/</link>
		<comments>http://blog.jonudell.net/2007/08/01/a-geographic-analysis-of-local-crime-data/#comments</comments>
		<pubDate>Wed, 01 Aug 2007 16:34:42 +0000</pubDate>
		<dc:creator>Jon Udell</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

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		<description><![CDATA[If you&#8217;ve been following the continuing saga of my exploration of local crime statistics [1, 2, 3, 4], here&#8217;s an update. The police department has provided a spreadsheet containing a complete dump of reported crimes back to 2002, including the location (address) information I was looking for. This dataset includes about 15000 rows, which is [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=blog.jonudell.net&amp;blog=109309&amp;post=196&amp;subd=jonudell&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>
If you&#8217;ve been following the continuing saga of my exploration of local crime statistics [<a href="http://blog.jonudell.net/2007/07/19/whats-easy-and-whats-hard-about-getting-from-excel-to-a-georss-enabled-mashup/">1</a>, <a href="http://blog.jonudell.net/2007/07/11/new-expectations-and-new-opportunities-for-stewards-of-public-data/">2</a>, <a href="http://blog.jonudell.net/2007/07/09/data-analysis-as-performance-art">3</a>, <a href="http://blog.jonudell.net/2007/06/01/the-broad-street-pump-and-the-keene-police-station">4</a>], here&#8217;s an update. The police department has provided a spreadsheet containing a complete dump of reported crimes back to 2002, including the location (address) information I was looking for.
</p>
<p>
This dataset includes about 15000 rows, which is far too many to show on a map without some fancy filtering. But while pondering what to do about that, I realized I could try to answer two questions that folks have been asking:
</p>
<p>
1. Is there more crime in the past few years?
</p>
<p>
2. If so, is the increase localized to the downtown area?
</p>
<p>
The second question arises because the police department relocated, in 2006, from the center of town to a peripheral address. It&#8217;s been suggested that there is, as a result, less of a police presence downtown, and thus more crime.
</p>
<p>
The answer to the first question <a href="http://services.alphaworks.ibm.com/manyeyes/view/SWUK0IsOtha6J0-uaKS0I2-">appears to be yes</a>. As Martin Wattenberg observes, in his comments on that visualization, there&#8217;s a striking seasonal pattern: strong dips in winter, weak dips in summer. He asks:
</p>
<blockquote><p>
Is this weather-related (potential criminals thinking &#8220;It&#8217;s too cold to mug anyone&#8221; in January)? Are there population changes in Keene, like tourism or college students, that would cause this?
</p></blockquote>
<p>
I think he&#8217;s right on both counts. It&#8217;s cold here in winter, and it&#8217;s a college town.
</p>
<p>
More broadly though, the 2006 peak is noticeably higher than prior years&#8217; peaks, and though we&#8217;re only in the middle of 2007, it&#8217;s tracking the 2006 pattern. Clearly crime is up since 2006.
</p>
<p>
But does the likelikehood of downtown crime correlate with the relocation of the police department? According to this chart, there is &#8212; if anything &#8212; a reverse correlation:
</p>
<p style="text-align:center;">
<img src="http://jonudell.net/img/CrimeByDistanceFromKeeneCenter.png">
</p>
<p>
Here&#8217;s how I made that chart:
</p>
<p>
1. Geocode the addresses to latitude/longitude locations.
</p>
<p>
2. Compute the distance of each location from the town center.
</p>
<p>
3. Group the locations into zones.
</p>
<p>
4. Chart the percent of crimes in each zone.
</p>
<p>
I&#8217;ll reflect in a separate entry on the nature of that process, and on ways it could be made more accessible to the less technically inclined. But if this result proves to be a valid, it&#8217;s a nice example of citizen use of public data. And of course if someone else&#8217;s analysis of the data (and of my methods) were to challenge my result and prove something different, that would be even better!</p>
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