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Producing Contiguous Data in Marine Environment A Gaussian-Montecarlo Methodology

Author

Listed:
  • Giuseppe MR Manzella
  • Marco Gambetta

    (ETT SpA, Genova, Italy)

  • Antonio Novellino

    (CGG Marine Engineering, Italy)

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.

Suggested Citation

  • Giuseppe MR Manzella & Marco Gambetta & Antonio Novellino, 2018. "Producing Contiguous Data in Marine Environment A Gaussian-Montecarlo Methodology," Oceanography & Fisheries Open Access Journal, Juniper Publishers Inc., vol. 8(2), pages 64-68, September.
    • Handle: RePEc:adp:jofoaj:v:8:y:2018:i:2:p:64-68
    DOI: 10.19080/OFOAJ.2018.08.555736
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