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 href="http://ifgi.uni-muenster.de">ifgi.uni-muenster.de</a><br>
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