Publications du Service canadien des forêts
A jackknife estimator of variance for a random tessellated stratified sampling design. 2019. Magnussen, S., Nord-Larsen, T.
Année : 2019
Disponible au : Centre de foresterie du Pacifique
Numéro de catalogue : 39545
La langue : Anglais
Disponibilité : PDF (télécharger)
Disponible sur le site Web de la revue ou du journal. †
DOI : 10.1093/forsci/fxy070
† Ce site peut exiger des frais.
Résumé en langage clair et simple
Most national forest inventories employs a form of systematic sampling that ensures a geographically balanced sample. Estimates of uncertainty are typically been forwarded under a false assumption of a simple random sampling (SRS) which leads to conservative estimates of uncertainty. Some national forest inventories employ a semi-systematic design (e.g. the US and Denmark). For these designs random tessellated stratified design estimators (RTS) are appropriate as they provide smaller estimates of variance in presence of a spatial covariance structure. Computations of RTS variances is complex as it involves time-consuming GIS operations on tessellation polygons and nested land-area polygons within them. To reduce the computational burden we propose a jackknife RTS estimator of variance. In an application with the Danish National Forest Inventory, results indicated a good performance of the proposed estimator. The results confirmed that earlier estimators under the SRS assumption were conservative.