zberg

<p>A dataset from 1991 containing 1203 sample plots observations from a forest inventory using cluster-sampling.
The large phase comprises 298 clusters. Terrestrial information of the stem number as well as the basal area
is available for a systematic subsample of 73 clusters. Auxiliary information at all 2103 sample plots were
derived by stand maps. Originally the inventory was carried out as a twophase inventory and
has been artificially extended to a threephase inventory for demonstration purposes.</p>

datasets

Extensive global and small-area estimation procedures for multiphase
forest inventories under the design-based Monte-Carlo approach are provided.
The implementation has been published in the Journal of Statistical Software (<doi:10.18637/jss.v097.i04>)
and includes estimators for simple and cluster sampling
published by Daniel Mandallaz in 2007 (<doi:10.1201/9781584889779>),
2013 (<doi:10.1139/cjfr-2012-0381>, <doi:10.1139/cjfr-2013-0181>,
<doi:10.1139/cjfr-2013-0449>, <doi:10.3929/ethz-a-009990020>)
and 2016 (<doi:10.3929/ethz-a-010579388>). It provides point estimates,
their external- and design-based variances and confidence intervals, as well as a
set of functions to analyze and visualize the produced estimates.
The procedures have also been optimized for the use of remote sensing data
as auxiliary information, as demonstrated in 2018 by Hill et al. (<doi:10.3390/rs10071052>).

Andreas Hill

forestinventory

Design-Based Global and Small-Area Estimations for Multiphase
Forest Inventories

Alexander Massey

Daniel Mandallaz

zberg function

<p>data frame with 1203 rows and 12 columns</p>

zberg: Data from a multiphase forest inventory at the zurichberg (zurich), switzerland

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