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Subsections

Ordinary Kriging Constraints

OK_constraints

In ordinary kriging, the error variance is minimized with the constraint that the kriging weights sum-up to 1. The kriging system is then:

$\displaystyle \left\{\vphantom{ \begin{array}{l}
Var \Big( \sum_{\alpha=1}^{n}...
...inimum}   \\
\sum_{\alpha=1}^{n} \lambda_{\alpha} =1
\end{array} }\right.$$\displaystyle \begin{array}{l}
Var \Big( \sum_{\alpha=1}^{n} \lambda_{\alpha} ...
...xtrm{is minimum}   \\
\sum_{\alpha=1}^{n} \lambda_{\alpha} =1
\end{array}$

or, if secondary variables are accounted for:

$\displaystyle \left\{\vphantom{ \begin{array}{l}
Var \Big( \sum_{\alpha=1}^{n}...
..._i(\rm {\bf u})}\lambda_{\beta}^i =0 \quad i=1,\ldots,N_v
\end{array} }\right.$$\displaystyle \begin{array}{l}
Var \Big( \sum_{\alpha=1}^{n} \lambda_{\alpha} ...
...eta=1}^{n_i(\rm {\bf u})}\lambda_{\beta}^i =0 \quad i=1,\ldots,N_v
\end{array}$

OK_constraints computes the kriging system size, resizes the kriging matrix and the second member, computes the terms of the system that are associated with the constraint on the kriging weights and finally returns the system size.



Where Defined

In header file <kriging.h>



Model of

Kriging Constraint



Type Requirements

See 2.4 for a thorough description of the requirements on the matrix library.



Members


contents next up previous
Next: Kriging with Trend Constraints Up: Function Object Classes Previous: Simple Kriging Constraints
nicolas
2002-05-07