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A Review on the Assessment of the Spatial Dependence

Author

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  • Pilar García Soidán

    (Department of Statistics and Operations Research, University of Vigo, Spain)

Abstract

For intrinsic random processes, an appropriate estimation of the variogram is required to derive accurate predictions, when proceeding through the kriging methodology. The resulting function must satisfy the conditionally negative definiteness condition, both to guarantee a solution for the kriging equation system and to derive a non-negative prediction error. Assessment of the resulting function is typically addressed through graphical tools, which are not necessarily conclusive, thus making it advisable to perform tests to check the adequateness of the fitted variogram.

Suggested Citation

  • Pilar García Soidán, 2018. "A Review on the Assessment of the Spatial Dependence," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 5(5), pages 144-145, March.
    • Handle: RePEc:adp:jbboaj:v:5:y:2018:i:5:p:144-145
    DOI: 10.19080/BBOAJ.2018.05.555672
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    References listed on IDEAS

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    1. Yongtao Guan & Michael Sherman & James A. Calvin, 2004. "A Nonparametric Test for Spatial Isotropy Using Subsampling," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 810-821, January.
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