CRAN/E | forestinventory

forestinventory

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

Installation

About

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).

Citation forestinventory citation info

Key Metrics

Version 1.0.0
Published 2021-01-08 1208 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks forestinventory results

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Maintainer

Maintainer

Andreas Hill

andreas.hill@wald-rlp.de

Authors

Andreas Hill

aut / cre

Alexander Massey

aut

Daniel Mandallaz

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

The R Package forestinventory: Design-Based Global and Small Area Estimations for Multi-Phase Forest Inventories

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

forestinventory archive

Imports

methods
stats
utils
plyr ≥ 1.8.6
tidyr
ggplot2

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R.rsp

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