Albrecht Gebhardt
PVM kriging with R
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Kriging is one of the most often used prediction methods in spatial data
analysis. This paper examines which steps of the underlying algorithms can be
performed in parallel on a PVM cluster. It will be shown, that some
properties of the so called kriging equations can be used to improve the
parallelized version of the algorithm. The implementation is based on R and
PVM. An example will show the impact of different parameter settings and
cluster configurations on the computing performance.