TY  - JOUR
PY  - 2024//
TI  - Well-spread samples with dynamic sample sizes
JO  - Biometrics
A1  - Robertson, Blair
A1  - Price, Chris
A1  - Reale, Marco
SP  - ujae026
EP  - ujae026
VL  - 80
IS  - 2
N2  - 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>
LA  - en
SN  - 0006-341X
UR  - http://dx.doi.org/10.1093/biomtc/ujae026
ID  - ref1
ER  -