[R-sig-Geo] Cell Declustering

[Edzer J. Pebesma]

Stefano,

I thought cell declustering meant finding the size of the region of 
influence for an observation and using that as weight in further 
analysis. An approach would be using voronoi diagrams (package deldir, 
and read the list archives), another using the number of nearest cells 
based on a regular discretization of the study area; for the latter you 
could misuse package gstat, interpolate record number with nmax=1 and 
compute a table of the resulting "prediction" grid. Ask me if you need 
an example.

The description you give sounds like spatial stratfied sampling, and can 
be accomplished by method spsample in package sp, type = "stratified".
--
Edzer

Stefano Pegoretti wrote:
> Dear List,
>     I have to perform a "cell spatial declustering" on my radon data,
> i.e. divide the study domain into a defined number of cell and for each
> of them randomly extracts a defined number of samples: does anybody know
> if there are function or packages in R to quickly to this?
>     Thanks, and have a good day!
>
>   
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