| Determine Data relationship [message #48715] |
Tue, 16 May 2006 22:34  |
daevu
Messages: 6
Registered: April 2006
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Junior Member |
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Folks,
How would you approach this problem
I have a dependent variable x (in this case the probability of
occurrence of a plant disease) which can be explained by a bunch of
independent variables y(i) ( in this case, weather data,eg
Tair,Precip,Wind,soilmoisture, etc).I have a large dataset of plant
disease probability and the corresponding weather data.
How would I build a model of this relationship, like y=f(x(1-i)),
linear, cubic, polynomial?
- neuronal networks would be an approach but there is no tool for it in
IDL (as far as I know)
- wavelets: could this method used for it? if yes, any hints?
Thanks for your comments in advance...
D.
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| Re: Determine Data relationship [message #48787 is a reply to message #48715] |
Thu, 18 May 2006 08:02  |
wem
Messages: 6
Registered: October 2005
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Junior Member |
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daevu wrote:
> Folks,
>
> How would you approach this problem
>
> I have a dependent variable x (in this case the probability of
> occurrence of a plant disease) which can be explained by a bunch of
> independent variables y(i) ( in this case, weather data,eg
> Tair,Precip,Wind,soilmoisture, etc).I have a large dataset of plant
> disease probability and the corresponding weather data.
> How would I build a model of this relationship, like y=f(x(1-i)),
> linear, cubic, polynomial?
> - neuronal networks would be an approach but there is no tool for it in
> IDL (as far as I know)
> - wavelets: could this method used for it? if yes, any hints?
>
> Thanks for your comments in advance...
>
> D.
I think this depends on what you are trying to accomplish with the model.
Are you trying to predict new, future results, or trying to visualize
the data, or maybe guessing results from data from the past where no new
information can be gathered about, or ...?
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