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<font face="Times New Roman, Times, serif">Dear Hakim,<br>
<br>
this is pretty straighforward. The IndependantReponse and
IndependentExplanatory are used to evaluate the quality of the models
in the case you have independent datasets. In most of the case, we do
not have independent datasets and we use K-fold cross-validations. <br>
<br>
In your case, it seems you would like to predict your response
variables in June 2007. I guess you do not have the response variables
for that time but only the explanatory variables. Is that correct? <br>
<br>
If I am correct, do not fill out the IndependentReponse and
IndepedentExplanatory data. <br>
Run Models with K-folds cross-validations and then use the Projections
function to predict your variables (breeding survey) onto 2007. <br>
<br>
Hope it helps,<br>
Wilfried<br>
<br>
<br>
</font><br>
Hakim Abdi a écrit :
<blockquote
cite="mid:2616bc8f0910120155k3e184cb2occ4411c1ef324a86@mail.gmail.com"
type="cite">Dear All:
<div><br>
</div>
<div>I have a set of nine independent variables (extracted Landsat TM
band values, land surface temperature, and NDVI) and a set of eight
response variables (presence/absence breeding season survey of eight
bird species). All the datasets are from June 2002</div>
<div><br>
</div>
<div>I'm trying to run the command "initial.state" and I was
wondering if anyone could tell me what the manual means by
IndependentReposnce and IndependentExplanatory. I didnt quite
understand the explanation given therein. </div>
<div><br>
</div>
<div>What I'm trying to do is find a model that best fits the
relationship between the variables and the species occurrence and then
apply that model to another set of independent variables from June 2007
and see what the distribution might have been at that time.</div>
<div><br>
</div>
<div>I'm new to BIOMOD and fairly new to R in general so any help
would be greatly appreciated.<br>
</div>
<div><br>
-- <br>
Mit freundlichen Grüßen/Regards<br>
__________________________________<br>
Hakim Abdi<br>
Institut für Geoinformatik<br>
Universität Münster<br>
32U 404463.35mE, 5755408.16mN<br>
<a moz-do-not-send="true" href="http://ifgi.uni-muenster.de">ifgi.uni-muenster.de</a><br>
</div>
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<br>
<pre class="moz-signature" cols="72">--
--
Wilfried Thuiller
Laboratoire d'Ecologie Alpine, UMR-CNRS 5553
Université J. Fourier
BP 53, 38041 Grenoble Cedex 9, France
Tel: +33 (0)4 76 63 54 53
Fax: +33 (0)4 76 51 42 79
Email: <a class="moz-txt-link-abbreviated" href="mailto:wilfried.thuiller@ujf-grenoble.fr">wilfried.thuiller@ujf-grenoble.fr</a>
Home page: <a class="moz-txt-link-freetext" href="http://www.will.chez-alice.fr">http://www.will.chez-alice.fr</a>
Website: <a class="moz-txt-link-freetext" href="http://www-leca.ujf-grenoble.fr/equipes/tde.htm">http://www-leca.ujf-grenoble.fr/equipes/tde.htm</a>
FP6 European MACIS project: <a class="moz-txt-link-freetext" href="http://www.macis-project.net">http://www.macis-project.net</a>
FP6 European EcoChange project: <a class="moz-txt-link-freetext" href="http://www.ecochange-project.eu">http://www.ecochange-project.eu</a></pre>
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