Cressie, Noel; Chambers, Raymond L. Comment on article by Ferreira and Gamerman. (English) Zbl 1336.62207 Bayesian Anal. 10, No. 3, 741-748 (2015). Editorial remark: This is a comment on [G. da Silva Ferreira and D. Gamerman, ibid. 10, No. 3, 711–735 (2015; Zbl 1336.62217)]. Summary: 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. Cited in 1 Review MSC: 62K05 Optimal statistical designs 86A32 Geostatistics 62D05 Sampling theory, sample surveys 62M30 Inference from spatial processes 62F15 Bayesian inference Keywords:design-based inference; hierarchical model; informative sampling; preferential sampling; utility function Citations:Zbl 1336.62217 PDFBibTeX XMLCite \textit{N. Cressie} and \textit{R. L. Chambers}, Bayesian Anal. 10, No. 3, 741--748 (2015; Zbl 1336.62207) Full Text: arXiv