[R-sig-Geo] Species distribution modeling with presence-only data using log-Gaussian Cox process

Manuel Spínola m@p|no|@10 @end|ng |rom gm@||@com
Thu Feb 11 17:25:52 CET 2021


Thank you Adrian,

I will take a look at that function.

Manuel

El mié, 10 feb 2021 a las 20:16, Adrian Baddeley (<
adrian.baddeley using curtin.edu.au>) escribió:

> Manuel_Spinola <mspinola10 using gmail.com> writes:
>
> > I would like to know of any R package that can be used for modeling
> species
> > distribution with presence-only data using log-Gaussian Cox process.
>
> The 'spatstat' package fits these models using the function 'kppm'
> Example:
>             fit <- kppm(X ~ terms, clusters="LGCP")
> See the help for function 'kppm'.
>
> It is also extensively documented in Chapter 12 of the spatstat book (
> book.spatstat.org)
>
> Adrian Baddeley
>


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*Manuel Spínola, Ph.D.*
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