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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>).
| Version: | 1.0.0 |
| Imports: | methods, stats, utils, plyr (≥ 1.8.6), tidyr, ggplot2 |
| Suggests: | R.rsp |
| Published: | 2021-01-08 |
| DOI: | 10.32614/CRAN.package.forestinventory |
| Author: | Andreas Hill [aut, cre], Alexander Massey [aut], Daniel Mandallaz [ctb] |
| Maintainer: | Andreas Hill <andreas.hill at wald-rlp.de> |
| 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_1.0.0.tar.gz |
| Windows binaries: | r-devel: forestinventory_1.0.0.zip, r-release: forestinventory_1.0.0.zip, r-oldrel: forestinventory_1.0.0.zip |
| macOS binaries: | r-release (arm64): forestinventory_1.0.0.tgz, r-oldrel (arm64): forestinventory_1.0.0.tgz, r-release (x86_64): forestinventory_1.0.0.tgz, r-oldrel (x86_64): forestinventory_1.0.0.tgz |
| Old sources: | forestinventory archive |
| Reverse suggests: | maSAE |
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