#7580. Optimal placement of sampling locations for identification of a two-dimensional space

October 2026publication date
Proposal available till 20-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Building and Construction;
Safety, Risk, Reliability and Quality;
Geology;
Civil and Structural Engineering;
Geotechnical Engineering and Engineering Geology;
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Abstract:
In recent years, substantial attention has been given to the optimal placement and planning of sampling or monitoring based on the Value of Information (VoI). The drawback of the VoI approach is its typically high computation cost. The method proposed here can significantly reduce the computation cost of VoI by applying the theory of Gaussian Process Regression.
Keywords:
Gaussian process regression; Gaussian random field; optimal placement; value of information

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