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.

Keywords

Generalized random-tessellation stratified; Pivotal method; Spatial sampling; Unequal probability sampling

Published in

Biometrics
2012, Volume: 68, number: 2, pages: 514-520
Publisher: WILEY-BLACKWELL

SLU Authors

• Grafström, Anton

  • Department of Forest Resource Management, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Probability Theory and Statistics


Publication identifier

DOI: https://doi.org/10.1111/j.1541-0420.2011.01699.x

Permanent link to this page (URI)

https://res.slu.se/id/publ/41254