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

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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.