Wrapper for 'FFTW3' Includes: One-Dimensional Univariate,
One-Dimensional Multivariate, and Two-Dimensional Transform

Bi-variate data fitting is done by two ingredients: the margins and the dependency structure. The dependency structure is modeled through a copula. An algorithm was implemented considering seven families of copulas  (Generalized Archimedean Copulas), the best fitting can be obtained looking all copula's options. Different dependence's kind was considered (totally positive of order 2 and stochastically increasing).

Bi-variate data fitting is done by two stochastic
components: the marginal distributions and the dependency
structure. The dependency structure is modeled through a
copula. An algorithm was implemented considering seven families
of copulas (Generalized Archimedean Copulas), the best fitting
can be obtained looking all copula's options (totally positive
of order 2 and stochastically increasing models).

Utilities for Fundamental Geo-Spatial Data
c(
person(given = "Shinya", family = "Uryu", email = "suika1127@gmail.com", role  = c("aut", "cre"), comment = c(ORCID = "0000-0002-0493-6186"))
)
Read and Parse for Fundamental Geo-Spatial Data (FGD) which downloads XML file
from providing site (<https://fgd.gsi.go.jp/download/menu.php>). The JPGIS format file
provided by FGD so that it can be handled as an R spatial object such as 'sf' and 'raster' or 'stars'.
Supports the FGD version 4.1, and accepts fundamental items and digital elevation models.

Read and Parse for Fundamental Geo-Spatial Data (FGD) which downloads XML file
from providing site (<https://fgd.gsi.go.jp/download/menu.php>). The JPGIS format file
provided by FGD so that it can be handled as an R spatial object such as 'sf' and
'raster', 'terra' or 'stars'.
Supports the FGD version 4.1, and accepts fundamental items and digital elevation models.

To help you access, transform, analyze, and
visualize ForestGEO data, we developed a collection of R packages
(<https://forestgeo.github.io/fgeo/>). This package, in particular,
helps you to install and load the entire package-collection with a
single R command, and provides convenient ways to find relevant
documentation. Most commonly, you should not worry about the
individual packages that make up the package-collection as you can
access all features via this package. To learn more about ForestGEO
visit <http://www.forestgeo.si.edu/>.
Mauro Lepore [aut, ctr, cre] (<https://orcid.org/0000-0002-1986-7988>),
Gabriel Arellano [aut, rev],
Richard Condit [aut],
Stuart Davies [aut, rev],
Matteo Detto [aut],
Erika Gonzalez-Akre [aut, rev]
(<https://orcid.org/0000-0001-8305-6672>),
Pamela Hall [aut],
Kyle Harms [aut],
Valentine Herrmann [aut, rev] (<https://orcid.org/0000-0002-4519-481X>),
Aaron Hogan [rev] (<https://orcid.org/0000-0001-9806-3074>),
Bier Kraichak [rev],
David Kenfack [aut, rev],
Lauren Krizel [rev],
Suzanne Lao [aut, rev],
Sean McMahon [aut, rev],
Haley Overstreet [rev],
Sabrina Russo [aut, rev],
Cara Scalpone [rev] (<https://orcid.org/0000-0001-8448-2147>),
Kristina Anderson-Teixeira [aut, rev],
Graham Zemunik [aut, rev],
Daniel Zuleta [aut, rev],
CTFS-ForestGEO [cph, fnd]