Forest Spatial Structure Analysis Systems
In recent years, there has been considerable interest in a group of neighborhood-based structural parameters that properly express the spatial structure characteristics of tree populations and forest communities and have strong operability for guiding forestry practices.the 'forestSAS' package provide more important information and allow us to better understand and analyze the fine-scale spatial structure of tree populations and stand structure.

Methods and Data for Forest Ecology Model Fitting and Assessment
c(
person(given = "Albert Y.", family = "Kim", email = "albert.ys.kim@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-7824-306X")),
person(given = "David", family = "Allen", email = "dallen@middlebury.edu", role = "aut", comment = c(ORCID = "0000-0002-0712-9603")),
person(given = "Simon", family = "Couch", email = "simonpatrickcouch@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-5676-5107"))
)
Code for fitting and assessing models for the growth of trees. In
particular for the Bayesian neighborhood competition linear regression model
of Allen (2020): methods for model fitting and generating fitted/predicted
values, evaluating the effect of competitor species identity using
permutation tests, and evaluating model performance using spatial
cross-validation.
magrittr, rlang, glue, ggplot2, stringr, dplyr, tidyr, proxy,
purrr, ggridges, mvnfast, sf, sfheaders, snakecase, tibble,
yardstick, blockCV, forcats, patchwork

Fitting and Assessing Neighborhood Models of the Effect of
Interspecific Competition on the Growth of Trees
magrittr, rlang, glue, ggplot2, stringr, dplyr, tidyr, purrr,
ggridges, mvnfast, sf, sfheaders, snakecase, tibble, yardstick,
blockCV, forcats, patchwork

Design-Based Global and Small-Area Estimations for Multiphase
Forest Inventories
c(person(given = c("Andreas"), family = "Hill",
email = "forestinventory@gmx.ch", role = c("aut","cre")),
person(given = c("Alexander"), family = "Massey",
email = "forestinventory@gmx.ch", role = c("aut")),
person(given = c("Daniel"), family = "Mandallaz", role = c("ctb"))
)
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.
Andreas Hill [aut, cre],
Alexander Massey [aut],
Daniel Mandallaz [ctb]