Hi Li,

I am sure there are many ways to do this in R.  When I have done this type
of thing in the past, I have applied a predictive equation to each raster
cell using map algebra in ArcGIS (raster calculator tool).  In R, there are
similar tools in the 'raster' package, apparently.  A quick google search
yielded this helpful result:

http://rstudio-pubs-static.s3.amazonaws.com/1057_1f7e9ac569644689b7e4de78c1fece90.html

Best,
Tim


On Tue, Mar 5, 2013 at 5:07 AM, AdrianR <[email protected]> wrote:

> Hi, Li.
>
> I am far from certain, but I believe this might be a good place to look:
> http://cran.r-project.org/web/packages/spatstat/index.html
> http://www.spatstat.org/
>
> Regards,
> Adrian Rasmussen
>
>
> Li Wen-2 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
> >
> >
> >
> >
> >
> >
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>
>
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