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<DIV><SPAN class=162594719-14042015>Hi GIS pros,</SPAN></DIV>
<DIV><SPAN class=162594719-14042015></SPAN> </DIV>
<DIV><SPAN class=162594719-14042015>I am working on creating a model in my
desktop GIS to characterize agricultural sites for the purpose to create a layer
that can show areas that have similar natural / agricultural site
characteristics that can be used for site selection in agricultural research.
Input layers will be for example population density, poverty density,
land cover , soil types, tree density , precipitation, hydrology, distance to
market (for a farmer) , distance to road, agro ecological zones and others more.
</SPAN></DIV>
<DIV><SPAN class=162594719-14042015></SPAN> </DIV>
<DIV><SPAN class=162594719-14042015>The idea is to cluster the layers first to
avoid evaluating parameters that are in high correlation (or dependant
variables) multiple times but come up with a set of layers (or clustered
'synthetic' layers) that can be an input for the model evaluation
run.</SPAN></DIV>
<DIV><SPAN class=162594719-14042015></SPAN> </DIV>
<DIV><SPAN class=162594719-14042015>Now I did take some statistics
classes 20 years ago but am lacking a clear approach or best practices how
to ensure that the layers (aka variables) are independent. I would prefer to do
this in QGIS or R statistical package<SPAN class=861460920-14042015>.
</SPAN>However<SPAN class=861460920-14042015>, if</SPAN> you know of
any <SPAN class=861460920-14042015>good OS </SPAN>tool that is a good fit
for this please suggest it to me.</SPAN></DIV>
<DIV><SPAN class=162594719-14042015></SPAN> </DIV>
<DIV><SPAN class=162594719-14042015>I read then searching the internet
about <SPAN class=861460920-14042015>the </SPAN>'mantel te<SPAN
class=861460920-14042015>st</SPAN>' being suggested by some , others talked
about statistical correlation between a independent and dependant variables. But
I was not sure if that is the best way to do it as in my case I would want to
test the dependency of the variables instead ...</SPAN></DIV>
<DIV><SPAN class=162594719-14042015></SPAN> </DIV>
<DIV><SPAN class=162594719-14042015>Would anyone have suggestions or experience
with this that they can share with me ?</SPAN></DIV>
<DIV><SPAN class=162594719-14042015></SPAN> </DIV>
<DIV><SPAN class=162594719-14042015>Cheers</SPAN></DIV>
<DIV><SPAN class=162594719-14042015>Karsten</SPAN></DIV>
<DIV align=left>
<P class=MsoNormal><SPAN
style="FONT-FAMILY: 'Verdana','sans-serif'; FONT-SIZE: 11pt">Karsten
Vennemann<BR></SPAN><SPAN
style="FONT-FAMILY: 'Verdana','sans-serif'; FONT-SIZE: 9pt">Principal<BR><BR><SPAN
style="COLOR: #003264">Terra GIS LTD<BR>SeattleUSA <BR><A
title=blocked::http://www.terragis.net/ href="http://www.terragis.net/"><FONT
title=blocked::http://www.terragis.net/
color=#0000ff>www.terragis.net</FONT></A></SPAN></SPAN><?xml:namespace prefix =
o ns = "urn:schemas-microsoft-com:office:office"
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