Hi Chris,

The geoR package contains a variog function for creating variograms, and
this can be used to examine spatial structure in model residuals.
 Variograms provide another way to look for spatial dependence in data.

I'm sure there's a function implementing Moran's I, but I don't know what it
is offhand - you might try searching for it on rseek.org or the CRAN site.

Cheers,

Will

__________________________
Will Fields
will_fields@ncsu.edu
Department of Biology
North Carolina State University
http://www4.ncsu.edu/wrfield2/

On Thu, Jan 27, 2011 at 11:32 AM, Chris Mcowen <chrismcowen@gmail.com>wrote:

> Dear List,
>
> I apologise if this is not the correct place to ask this, however as
> ecologists' s i guess a high proportion of you would of had to deal with
> spatial autocorrelation.
>
> First,
>
> I have seen a method that used a GAM and included the coordinates of the
> grid cells ( sample locations, in my case this will be long&lat) as a smooth
> factor to account for spatial autocorrelation.
>
> I was wondering if anybody here had done this as i can not find a example,
> and am unsure how to structure the GAM.
>
> Second,
>
> Another spatial question -
>
> >> Spatial correlograms were constructed using Moran’s I coefficients at 10
> distance classes.
> >
>
> Once again, has anyone done anything like this?
>
> Thanks,
>
> Chris
> _______________________________________________
> R-sig-ecology mailing list
> R-sig-ecology@r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
>

	[[alternative HTML version deleted]]

