[R-sig-Geo] Prediction in BIOMOD

[Marco]

Hi, Wilfried:

Thanks very much for the rapid reply, it helps me a lot! I have been
thinking that the function Projection is for predicting of future
distribution or for another region.
Marco
On 2/9/11, Wilfried Thuiller <wilfried.thuiller at ujf-grenoble.fr> wrote:
> Dear Marco,
> You did understand correctly.
>
> For having the predictions made on all background points, use the Projection
> function after the Models function.
>
> Best
> Wilfried
>
>
> Le 9 févr. 2011 à 15:02, Marco a écrit :
>
>> Dear list:
>>
>>
>>
>> I am using package BIOMOD and have a question concerning model prediction.
>>
>>
>>
>> It seems that in BIOMOD, the default prediction of species distribution is
>> carried only on the presence and pseudo-absence points, not on the whole
>> background points. Which means, for example, if I have 100 presence
>> records,
>> and another 1000 points were selected from the background point pool (eg.
>> 5000 random points). The final prediction was only the 1100 points, not
>> 5100, when I load the „pred_speciesname‰ file in the „pred‰ subfolder of
>> model result. My question is: is there any direct way of getting the
>> prediction of the whole background points from the main *Models* function,
>> or did I have a totally wrong understanding of prediction?
>>
>>
>>
>> Please forgive me if the question is too silly.
>>
>>
>>
>> Best Regard~
>>
>>
>>
>> Marco
>>
>> --
>> -------------------------------------------------------
>> Chinese Ecological Research Network,
>> Institute of Geographical Sciences and Natural Resources Research,
>> Chinese Academy of Sciences,
>> 100101, Beijing
>>
>> 	[[alternative HTML version deleted]]
>>
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>
> -------------------------
> Dr. Wilfried Thuiller
> Laboratoire d'Ecologie Alpine, UMR CNRS 5553
> Université Joseph Fourier
> BP53, 38041 Grenoble cedex 9, France
> tel:  33 (0)4 76 51 44 97
> 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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Chinese Ecological Research Network,
Institute of Geographical Sciences and Natural Resources Research,
 Chinese Academy of Sciences,
100101, Beijing
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