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KriSp
A collection of functions based in R/Fortran for interpolation of
large datasets using covariance tapering.
Written by Reinhard Furrer.
The package KriSp (Kriging with Sparse matrices)
is considered as an add-on to the package fields. KriSp has a similar class
to one of fields and uses some of its methods. Further,
KriSp uses the package SparseM
to handle the sparse matrix techniques. Thus the package is not
exhaustive in its functionality compared to other geostatistical
packages like geoR. Also,
most functions are not fully optimized in order to enhance readability
of the code.
Current development version:
KriSp_0.4.tar.gz (November, 22, 2006)
Availability:
Currently, KriSp was successfully installed and tested on
the follwing platforms and versions.
- R-2.4.0, i4686-pc-linux-gnu.
- R-2.2.1, i486-pc-linux-gnu.
- R-2.1.0, i386-pc-linux-gnu.
If you run KriSp on other platforms, let me know.
The major methods include:
The kriging functions allow you to supply a covariance
function that is written in native code.
There are also generic functions that support these methods such as
plot - diagnostic plots of fit
summary - statistical summary of fit
print - shorter version of summary
surface - graphical display of fitted surface
predict - evaluation fit at arbitrary points
Fortran code:
The main functions are written in native R code.
The functions Krig.simple.sparse, Krig.sparse and
predict.sparse call supporting Fortran routines in order
to gain computing time.
This is software for statistical research and not for commercial uses. The
authors do not guarantee the correctness of any function or program in this
package. Any changes to the software should not be made without the authors
permission.
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