[R-sig-Geo] Masking interpolations

[Paul Hiemstra]

...in addition:

You could also use AcrGIS, QGis or another GIS package to make a polygon 
that delineates the areas in which you want to interpolate. You can then 
use spsample() like I showed you in the previous mail. Making this 
polygon can also be done in R using spplot and grid.locator, if you are 
interested I can send you some example code.

Another option is to calculate the square grid you make using 
expand.grid, perform the interpolation and throw away any points that 
are above a certain kriging variance (that you have to choose). This 
would be a good solution if you need to automatically interpolate a lot 
of lidar sets that differ a lot in configuration of the points. it is 
not the most elegant and efficient solution though :).

cheers,
Paul

Wesley Roberts wrote:
> Dear R-sig-geo'ers
>
> I am currently running some interpolations using automap written by Paul Hiemstra. So far my interpolations have been producing suitable results except for one problem. From the code you will see that the boundaries of the spatial grid are determined using the range of the X and Y coordinates creating a square grid. My point data do not cover the entire grid and I would only like to interpolate in areas where data exists otherwise I get a significant edge effect. Is it possible to limit / mask my interpolation to only predict where data exists? 
>
> The point data are lidar canopy returns for an irregular shaped timber compartment and number around 10 000 irregular spaced points. 
>
> Any help on this matter would be greatly appreciated.
>
> Kind regards,
> Wesley
>
>
> library(automap)
> library(gstat)
>
> a <- read.csv("AreaOne_4pts.csv", header=TRUE)
>
> coordinates(a) <-~ x+y
>
> x.range <- as.integer(range(a at coords[,1]))
> y.range <- as.integer(range(a at coords[,2]))
>
>
> grd <- expand.grid(x=seq(from=x.range[1], to=x.range[2], by=0.1), y=seq(from=y.range[1], to=y.range[2], by=0.1))
> coordinates(grd) <-~ x+y
> gridded(grd) <- TRUE
>
> height = autoKrige(H~1, a, grd, nmax=100)
> writeGDAL(height$krige_output, fname="test.tiff", drivername ="GTiff", type = "Float32")
>
> intensity = autoKrige(I~1, a, grd, nmax=100)
> writeGDAL(intensity$krige_output, fname="test.tiff", drivername ="GTiff", type = "Float32")
>
> Wesley Roberts MSc.
> Researcher: Earth Observation (Ecosystems)
> Natural Resources and the Environment
> CSIR
> Tel: +27 (21) 888-2490
> Fax: +27 (21) 888-2693
>
> "To know the road ahead, ask those coming back."
> - Chinese proverb
>
>
>   


-- 
Drs. Paul Hiemstra
Department of Physical Geography
Faculty of Geosciences
University of Utrecht
Heidelberglaan 2
P.O. Box 80.115
3508 TC Utrecht
Phone: 	+31302535773
Fax:	+31302531145
http://intamap.geo.uu.nl/~paul