Literature DB >> 22040115

Spatially balanced sampling through the pivotal method.

Anton Grafström1, Niklas L P Lundström, Lina Schelin.   

Abstract

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.
© 2011, The International Biometric Society.

Mesh:

Year:  2011        PMID: 22040115     DOI: 10.1111/j.1541-0420.2011.01699.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


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Journal:  Environ Monit Assess       Date:  2019-07-30       Impact factor: 2.513

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4.  Efficient design of geographically-defined clusters with spatial autocorrelation.

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Journal:  J Appl Stat       Date:  2021-06-17       Impact factor: 1.416

  4 in total

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