期刊
BIOMETRICS
卷 68, 期 2, 页码 514-520出版社
WILEY
DOI: 10.1111/j.1541-0420.2011.01699.x
关键词
Generalized random-tessellation stratified; Pivotal method; Spatial sampling; Unequal probability sampling
A simple method to select a spatially balanced sample using equal or unequal inclusion probabilities is presented. For populations with spatial trends in the variables of interest, the estimation can be much improved by selecting samples that are well spread over the population. The method can be used for any number of dimensions and can hence also select spatially balanced samples in a space spanned by several auxiliary variables. Analysis and examples indicate that the suggested method achieves a high degree of spatial balance and is therefore efficient for populations with trends.
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