[R-sig-eco] Projecting model to landscape

Li Wen Li.Wen at environment.nsw.gov.au
Tue Mar 5 21:42:37 CET 2013


Thanks, Nicole

I want to compare a few methods as in Elith et al 2006 Ecography 29: 129-51. So, what I am after is a generic method to do "spatial projection" with fitted statistical models, could be GAM, GLM, or MARS, etc. Maybe using prediction.model is the only way to this at the moment. 

Cheers,
Li

-----Original Message-----
From: r-sig-ecology-bounces at r-project.org [mailto:r-sig-ecology-bounces at r-project.org] On Behalf Of Nicole K.S. Barker
Sent: Wednesday, 6 March 2013 5:00 AM
To: Li Wen
Cc: r-sig-ecology at r-project.org
Subject: Re: [R-sig-eco] Projecting model to landscape

If you extract the information from your rasters into a dataframe (one
column per raster), can you use the predict.randomForest function in the
randomForest package?

If yes, you can then input your predictions back into a raster of the same
dimensions as the environmental variables.

I don't have any experience with random forest model, but that's what I do
with my Boosted Regression Tree predictions.

Nicole K.S. Barker
Ph.D Student / Étudiante au Doctorat
Laval University / Université Laval
Ducks Unlimited Canada / Canards Illimités Canada
LinkedIn: www.linkedin.com/in/nksbarker
Phone: 647-470-3207




On Tue, Mar 5, 2013 at 5:21 AM, Li Wen <li01.wen at gmail.com> wrote:

> Dear list member
>
>
>
> I have fitted a Random Forest model for species distribution, and want to
> use it to project the model to a defined landscape (i.e. forecasting for
> all
> grids in an area) . The landscape has all the environment covariates
> (rasters) and cover a large region (over 1000*1000 grids). I wonder if
> there
> is package in R to do this. Thank you for your help in advance.
>
>
>
> Cheers
>
> Li
>
>
>
>
>
>
>         [[alternative HTML version deleted]]
>
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