Manuel_Spinola 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="LGC
On Wed, 10 Feb 2021 16:40:50 +
Barry Rowlingson wrote:
> Before messing with lgcp I'd look at spatstat - lgcp is more intended
> for relative risk calculations where you have "cases" and "controls",
> and also for
> space-time data.
>
> spatstat seems to have functions for fitting (and sim
Before messing with lgcp I'd look at spatstat - lgcp is more intended for
relative risk calculations where you have "cases" and "controls", and also
for
space-time data.
spatstat seems to have functions for fitting (and simulating) LGCPs to
point patterns so I think that might be what you are afte
Hello Gafarou,
(as I answered your question previously in max...@googlegroups.com...)
the error message means that the points stored in Locations.csv are not
in a regular grid, i.e., the distances between them are not the same.
Although you can increase the tolerance parameter to eliminate the
Hi,
I am facing this error when running this code bellow;
suggested tolerance minimum: 0.662921
Error in points2grid(points, tolerance, round) :
dimension 1: coordinate intervals are not constant
What does this error mean and how to fix it?
In fact, the Locations.csv file contains just two colu
