@article{ref1,
title="Well-spread samples with dynamic sample sizes",
journal="Biometrics",
year="2024",
author="Robertson, Blair and Price, Chris and Reale, Marco",
volume="80",
number="2",
pages="ujae026-ujae026",
abstract="A spatial sampling design determines where sample locations are placed in a study area so that population parameters can be estimated with relatively high precision. If the response variable has spatial trends, spatially balanced or well-spread designs give precise results for commonly used estimators. This article proposes a new method that draws well-spread samples over arbitrary auxiliary spaces and can be used for master sampling applications. All we require is a measure of the distance between population units. Numerical results show that the method generates well-spread samples and compares favorably with existing designs. We provide an example application using several auxiliary variables to estimate total aboveground biomass over a large study area in Eastern Amazonia, Brazil. Multipurpose surveys are also considered, where the totals of aboveground biomass, primary production, and clay content (3 responses) are estimated from a single well-spread sample over the auxiliary space.<p /> <p>Language: en</p>",
language="en",
issn="0006-341X",
doi="10.1093/biomtc/ujae026",
url="http://dx.doi.org/10.1093/biomtc/ujae026"
}