Department of
Applied Mathematics and Statistics
State University of New York at Stony Brook
PEST is a parallel code written in C++ with MPI.
It generates realizations of scalar random fields
of given covariance/semivariogram structure
and conditions them to a given point set of measured data.
In addition to generating a realization,
it plots an image of the realization in Sun Rasterfile format.
Additionally computes the realization histogram and its
covariance/semivariogram function.
Specifically, PEST can generate realizations of the following
isotropic model functions in 2 or 3 spatial dimensions.
Model Covariance C(r) /Semivariogram g(r)
- Exponential covariance:
C(r) = c Exp(-r/a)
-
Power law covariance:
C(r) = c r-b, b > 0
-
Shifted power law covariance:
C(r) = c (r+a)-b, b > 0
-
Power law semivariogram:
g(r) = c rb, 0 < b < 2
The source code and a technical report are available.
- The source code
is available as a compressed tar format.
- A
technical report describing the usage of the code is available as a
compressed postscript file.
This report is still in draft form.
Support Acknowledgements
This work has been supported by
Please email questions and suggestions to
Brent Lindquist or
Wonho Oh