[R-sig-Geo] Moving variance calculation from an irregular grid

[Roger Bivand]

On Mon, 15 Dec 2008, Rawlins, Barry G wrote:

> I would like to calculate a moving window variance across a large, 
> irregular spatial dataset (1.1 million points) - I have looked for 
> various functions but have not been able to find one that will do this.

How irregular? Is the moving window adaptive (k nearest neighbours) or 
fixed in distance for a given bandwidth - hence widely varying counts of 
points within the window? Do you need the moving window variances for the 
same support (points) as the data, or for different points (maybe a grid)? 
Could the task be divided up into (overlapping) tiles if memory is a major 
constraint? If k nearest neighbours, ANN (approximate nearest neighbours) 
has been ported several times to R, but not generalised - I can make one 
off-CRAN version available if need be. This thread may be relevant:

https://stat.ethz.ch/pipermail/r-sig-geo/2008-December/004644.html

Roger

>
> Any suggestions  much appreciated.
> Barry R
>
>
>

-- 
Roger Bivand
Economic Geography Section, Department of Economics, Norwegian School of
Economics and Business Administration, Helleveien 30, N-5045 Bergen,
Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43
e-mail: Roger.Bivand at nhh.no