Abstract
Cost-effective spatial sampling strategy requires balancing sampling costs with the expected benefits from improved information. A contaminated site numerical model was used to test various single-phase sampling schemes, which were evaluated based on the quality of block selections from interpolated values. Different sample set sizes, different sampling patterns, and two levels of sampling precision were used. The sample set size was the only one of these factors observed to be significant. Bias was also examined. Modest levels (<20%) had minimal impact; the effects of higher levels of bias varied with the selection level concentration.
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Although the research described in this article has been supported by the United States Environmental Protection Agency through cooperative agreement CR814701 to the Environmental Research Center of the University of Nevada, Las Vegas, it has not been subjected to Agency review and, therefore, does not necessarily reflect the view of the Agency and no official endorsement should be inferred.
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Englund, E., Weber, D. & Leviant, N. The effects of sampling design parameters on block selection. Math Geol 24, 329–343 (1992). https://doi.org/10.1007/BF00893753
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DOI: https://doi.org/10.1007/BF00893753