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forestinventory  

Design-Based Global and Small-Area Estimations for Multiphase Forest Inventories
View on CRAN: Click here


Download and install forestinventory package within the R console
Install from CRAN:
install.packages("forestinventory")

Install from Github:
library("remotes")
install_github("cran/forestinventory")

Install by package version:
library("remotes")
install_version("forestinventory", "1.0.0")



Attach the package and use:
library("forestinventory")
Maintained by
Andreas Hill
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-06
Latest Update: 2021-01-08
Description:
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 () and includes estimators for simple and cluster sampling published by Daniel Mandallaz in 2007 (), 2013 (, , , ) and 2016 (). 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. ().
How to cite:
Andreas Hill (2016). forestinventory: Design-Based Global and Small-Area Estimations for Multiphase Forest Inventories. R package version 1.0.0, https://cran.r-project.org/web/packages/forestinventory
Previous versions and publish date:
0.1.0 (2016-07-06 16:04), 0.2.0 (2017-05-21 16:37), 0.3.0 (2017-10-03 15:50), 0.3.1 (2017-10-16 15:55)
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