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Comment on article by Ferreira and Gamerman

Journal Article


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Abstract


  • A utility-function approach to optimal spatial sampling design is a powerful way to quantify what "optimality" means. The emphasis then should be to capture all possible contributions to utility, including scientific impact and the cost of sampling. The resulting sampling plan should contain a component of designed randomness that would allow for a non-parametric design-based analysis if model-based assumptions were in doubt.

Publication Date


  • 2015

Citation


  • Cressie, N. A. & Chambers, R. L. (2015). Comment on article by Ferreira and Gamerman. Bayesian Analysis, 10 (3), 741-748.

Scopus Eid


  • 2-s2.0-84931314262

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=5581&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4560

Number Of Pages


  • 7

Start Page


  • 741

End Page


  • 748

Volume


  • 10

Issue


  • 3

Abstract


  • A utility-function approach to optimal spatial sampling design is a powerful way to quantify what "optimality" means. The emphasis then should be to capture all possible contributions to utility, including scientific impact and the cost of sampling. The resulting sampling plan should contain a component of designed randomness that would allow for a non-parametric design-based analysis if model-based assumptions were in doubt.

Publication Date


  • 2015

Citation


  • Cressie, N. A. & Chambers, R. L. (2015). Comment on article by Ferreira and Gamerman. Bayesian Analysis, 10 (3), 741-748.

Scopus Eid


  • 2-s2.0-84931314262

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=5581&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4560

Number Of Pages


  • 7

Start Page


  • 741

End Page


  • 748

Volume


  • 10

Issue


  • 3