Spatially Balanced Sampling with Local Ranking

A spatial sampling design determines where sample locations are placed in a study area so that population parameters can be estimated with good precision. Spatially balanced designs draw samples with good spatial spread and provide precise results for commonly used estimators when surveying natural...

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Bibliographic Details
Published in:Journal of agricultural, biological, and environmental statistics biological, and environmental statistics, 2022-12, Vol.27 (4), p.622-639
Main Authors: Robertson, B. L., Ozturk, O., Kravchuk, O., Brown, J. A.
Format: Article
Language:English
Subjects:
Agriculture
Biostatistics
Estimators
Health Sciences
Mathematics and Statistics
Medicine
Monitoring/Environmental Analysis
Natural resources
Population studies
Ranking
Rankings
Sampling
Sampling designs
Statistics
Statistics for Life Sciences
Surveys
Vineyards
Wine industry
Wineries
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Summary:A spatial sampling design determines where sample locations are placed in a study area so that population parameters can be estimated with good precision. Spatially balanced designs draw samples with good spatial spread and provide precise results for commonly used estimators when surveying natural resources. In this article, we propose a new sampling strategy that incorporates ranking information from nearby locations into a spatially balanced sample. If the population exhibits spatial trends, our simple local ranking strategy can improve the precision of commonly used estimators. Numerical results on several test populations with different spatial structures show that local ranking can improve the performance of a spatially balanced design. To show that local ranking is simple and effective in practice, we provide an example application for the health and productivity assessment of a Shiraz vineyard in South Australia. Supplementary materials accompanying this paper appear online.
ISSN:1085-7117
1537-2693
DOI:10.1007/s13253-022-00501-6