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

Extensive global and small-area estimation procedures for multiphase forest inventories under the design-based Monte-Carlo approach are provided. The implementation 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 as well as confidence intervals. The procedures have also been optimized for the use of remote sensing data as auxiliary information.

Version: 0.3.1
Imports: plyr (≥ 1.8.3), stats, utils, tidyr, ggplot2
Suggests: R.rsp
Published: 2017-10-16
Author: Andreas Hill [aut, cre], Alexander Massey [aut], Daniel Mandallaz [ctb]
Maintainer: Andreas Hill <andreas.hill at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: forestinventory citation info
Materials: README NEWS
CRAN checks: forestinventory results


Reference manual: forestinventory.pdf
Vignettes: The R Package forestinventory: Design-Based Global and Small Area Estimations for Multi-Phase Forest Inventories
Package source: forestinventory_0.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: forestinventory_0.3.1.tgz, r-oldrel: forestinventory_0.3.1.tgz
Old sources: forestinventory archive


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