Design-Based Global and Small-Area Estimations for Multiphase Forest Inventories
Overview
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).
29-06-16 forestinventory Version 0.1.0 released to CRAN!
19-05-17 forestinventory Version 0.2.0 released to CRAN!
- New features: extended feasibility-checks and corrections of input data regarding the sample designs
- Corrections: improved runtime of psmall-estimator, removed bug for including interaction terms in regression models,
fixed bug in confidence interval calculation for pseudosynthetic estimator under cluster sampling
03-10-17 forestinventory Version 0.3.0 released to CRAN!
- New features: analysis functions and visualization functions added
16-10-17 forestinventory Version 0.3.1 released to CRAN!
- New features: vignette added
04-01-21 forestinventory Version 1.0.0 released to CRAN!
- Version of published article in the Journal of Statistical Software (JSS)
- Includes few code-refinements as result of the intense JSS-review-process
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 11includes a package overview page
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 80%
- Documented parameters
- 81%
- Return-value docs
- 100%
- Help pages citing references
- 55%
Downloads
Dependencies
Installing forestinventory adds 31 packages (17 with compiled code, 30 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.
Code & Tests
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- 1.0.0Latest
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- 0.3.12017-10-16 · diff ↗
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- 0.2.02017-05-21 · diff ↗
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- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-07-06
- Total releases
- 5 / 10 yrs
- License
- GPL (>= 2) OSI
- Bundled data
- 16 KB / 2 files
- Download size
- 1.1 MB
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Cite this package
Run in R for the authors' entry:
citation("forestinventory")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v097.i04.
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