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	<title>Comments on: DENDROCHRONOLOGY</title>
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	<description>Lisp</description>
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		<title>By: ken</title>
		<link>http://dispossessed.wordpress.com/2007/10/20/dendrochronology/#comment-253</link>
		<dc:creator>ken</dc:creator>
		<pubDate>Mon, 22 Oct 2007 06:26:16 +0000</pubDate>
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		<description>In a former life, I used to write dendrochronology software.  I played around with Lisp some at the time, though I ended up not using it because the GUI situation (among other things) at the time was kind of dire (and perhaps still is).

I&#039;ll look around to see if I have any of my old Lisp code still.  If not, I can at least point you at the algorithms and help you with the (undocumented) file formats.

There&#039;s lots of good news here:
- the datasets are generally &quot;big lists of (small positive) integers&quot; (plus a hash of metadata), which Lisp can slice through like a hot knife through butter
- the state-of-the-art algorithms aren&#039;t that complex (or, alternatively, there&#039;s lots of exploration left to be done!)
- there&#039;s a ton of free data to play with, as you&#039;ve found
- there&#039;s even some free software to be found, though sometimes you have to type it in and port it from ALGOL or a very early FORTRAN and then fix the bugs
- a lot of the algorithms are more or less just &quot;try to do by computer what your eye can do&quot;, so you can make pretty graphics and test your heuristic by just looking at it

Let me know if you have any questions -- I&#039;m kind of busy these days, but this sounds like fun.</description>
		<content:encoded><![CDATA[<p>In a former life, I used to write dendrochronology software.  I played around with Lisp some at the time, though I ended up not using it because the GUI situation (among other things) at the time was kind of dire (and perhaps still is).</p>
<p>I&#8217;ll look around to see if I have any of my old Lisp code still.  If not, I can at least point you at the algorithms and help you with the (undocumented) file formats.</p>
<p>There&#8217;s lots of good news here:<br />
- the datasets are generally &#8220;big lists of (small positive) integers&#8221; (plus a hash of metadata), which Lisp can slice through like a hot knife through butter<br />
- the state-of-the-art algorithms aren&#8217;t that complex (or, alternatively, there&#8217;s lots of exploration left to be done!)<br />
- there&#8217;s a ton of free data to play with, as you&#8217;ve found<br />
- there&#8217;s even some free software to be found, though sometimes you have to type it in and port it from ALGOL or a very early FORTRAN and then fix the bugs<br />
- a lot of the algorithms are more or less just &#8220;try to do by computer what your eye can do&#8221;, so you can make pretty graphics and test your heuristic by just looking at it</p>
<p>Let me know if you have any questions &#8212; I&#8217;m kind of busy these days, but this sounds like fun.</p>
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