Producing Contiguous Data in Marine Environment A Gaussian-Montecarlo Methodology

Giuseppe MR Manzella, Marco Gambetta and Antonio Novellino
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Marco Gambetta: ETT SpA, Genova, Italy
Antonio Novellino: CGG Marine Engineering, Italy

Oceanography & Fisheries Open Access Journal, 2018, vol. 8, issue 2, 64-68

Abstract: Marine environment is strongly undersampled. Spatial data have an inhomogeneous spatial as well as temporal distributions and the production of tri-dimesional maps are still posing problems of interpretation of their results. This paper is proposing a mapping methodology based on Gaussian- Montecarlo approach that create additional synthetic data having the environmental characteristics of their neighborough data profiles. With respect to other methodologies, the one presented in this paper is not filtering out the small-dimension characteristics.

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Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jofoaj:v:8:y:2018:i:2:p:64-68

DOI: 10.19080/OFOAJ.2018.08.555736

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