[Biomod-commits] IndependentReposnce and IndependentExplanatory

Wilfried Thuiller wilfried.thuiller at ujf-grenoble.fr
Mon Oct 12 11:22:06 CEST 2009

Dear Hakim,

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.

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?

If I am correct, do not fill out the IndependentReponse and 
IndepedentExplanatory data.
Run Models with K-folds cross-validations and then use the Projections 
function to predict your variables (breeding survey) onto 2007.

Hope it helps,

Hakim Abdi a écrit :
> Dear All:
> 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
> 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. 
> 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.
> I'm new to BIOMOD and fairly new to R in general so any help would be 
> greatly appreciated.
> -- 
> Mit freundlichen Grüßen/Regards
> __________________________________
> Hakim Abdi
> Institut für Geoinformatik
> Universität Münster
> 32U 404463.35mE, 5755408.16mN
> ifgi.uni-muenster.de <http://ifgi.uni-muenster.de>
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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: wilfried.thuiller at ujf-grenoble.fr
Home page: http://www.will.chez-alice.fr
Website: http://www-leca.ujf-grenoble.fr/equipes/tde.htm

FP6 European MACIS project: http://www.macis-project.net
FP6 European EcoChange project: http://www.ecochange-project.eu

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