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Dear Pep,<br>
It seems your email was bounced several times. Make sure you use the
right email address (without bounces). <br>
<br>
Concerning your request, yes it is possible to project in space or
time. Just use the Projection function in BIOMOD. <br>
It requires point data (and not rasters or grids, i.e. you have the
extract the locations where you want to project, by using the "sample"
function in arcgis for instance) but we are working on an update which
will allow to project under arcgis raster directly. <br>
Make sure the column names are exactly the same you used to calibrate
the models. <br>
<br>
Please have a look a the manual. The Projection function is fully
explained (<i>Biomod.Manual()</i>).<br>
<br>
Hope it helps,<br>
Wilfried<br>
<br>
<br>
<br>
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<div class="headerdisplayname" style="display: inline;">Sujet: </div>
Choosing absences and mapping predictions...</td>
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<div class="headerdisplayname" style="display: inline;">Expéditeur:
</div>
Pep Serra <a class="moz-txt-link-rfc2396E" href="mailto:josep.serra@uab.cat"><josep.serra@uab.cat></a></td>
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<div class="headerdisplayname" style="display: inline;">Date: </div>
Tue, 15 Sep 2009 15:17:29 +0200</td>
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<div class="headerdisplayname" style="display: inline;">Destinataire:
</div>
<a class="moz-txt-link-abbreviated" href="mailto:biomod-commits-bounces@lists.r-forge.r-project.org">biomod-commits-bounces@lists.r-forge.r-project.org</a></td>
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<div class="headerdisplayname" style="display: inline;">Destinataire:
</div>
<a class="moz-txt-link-abbreviated" href="mailto:biomod-commits-bounces@lists.r-forge.r-project.org">biomod-commits-bounces@lists.r-forge.r-project.org</a></td>
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<br>
Dear all,
<br>
<br>
I have presences and absences of a tree species thanks to the data of a
national inventory. Despite the bias due to inventory sampling, a
filter could be undertaken resulting in a quite reliable selection of
real absences (not pseudo-absences).
<br>
<br>
After running BIOMOD with this data, we would expect predictions at
those sites (let's call it cells), however sometimes we would like to
extend these predictions to the whole region under study. How could we
extract the algorithm of every model used by BIOMOD in order to apply
it to a GIS environment? or maybe to another dataframe containing all
the information for every cell of the grid (quite large data frames
though)?
<br>
<br>
Thank you very much again,
<br>
<br>
Pep
<br>
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<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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