Hi,
Uniras has a nice interpolation routin that is build on Akimas ideas (a 
set of irregularty distrubated data  points to a regular grid of points). 
The akima package, is quite close but I missing some variables to adjust 
my data (or the look of my output grid).
In uniras the gridding is done in three steps
1. Interpolates (x,y,z) data to grid node locations with double linear 
interpolation
2. computes surface slopes and performs quadratic interpolation
3. refines and adjusts the grid for the final output. Smooting is 
performed by distance weighting methods.

Parameter that I want to have the possibility to adjust
1. grid size (e.g. 1000 x1000 m)
2. seek radius for each point (e.g 4000 m)
3. ouput grid as
a) true interpolated values 
b) unweighted medium-value calculation
4. or output grid as
c) smoothing with distance weighted medium-value calculation
d) same as choice c), but where the final smoothing based on the distance 
squared.

-------------
My input data looks like:
ew;ns;cu
1394180;6200295;48.1
1398190;6201020;52.4
1399690;6200420;59.7
1395780;6205105;84.0
1397820;6206590;50.6
and so on...


I have realized that there are lot of "wizards" out there...hope that 
anyone can help


Regards
/Mikael
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