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Version: 0.10.9-9001
Date: 2021-10-01
Title: Geostatistics for Compositional Analysis
Authors@R: c(person(given = "Raimon",
family = "Tolosana-Delgado",
role = c("aut"),
email = "r.tolosana@hzdr.de",
comment = c(ORCID = "0000-0001-9847-0462")),
person(given = "Ute",
family = "Mueller",
role = c("aut"),
email = "u.mueller@ecu.edu.au"),
person(given = "K. Gerald",
family = "van den Boogaart",
role = c("ctb", "cre"),
email = "support@boogaart.de"),
person(given = "Hassan",
family = "Talebi",
role = c("ctb", "cph"),
email = "hassan.talebi@csiro.au"),
person(given = "Helmholtz-Zentrum Dresden-Rossendorf", role = "cph"),
person(given = "Edith Cowan University", role = "cph")
)
Depends:
R (>= 2.10)
Suggests:
FNN,
JADE,
jointDiag,
DescTools,
knitr,
rmarkdown (>= 2.3),
magrittr,
Imports:
methods,
gstat,
compositions (>= 2.0),
sp,
boot,
foreach,
utils,
RColorBrewer
Description: Support for geostatistical analysis of multivariate data,
in particular data with restrictions, e.g. positive amounts data,
compositional data, distributional data, microstructural data, etc.
It includes descriptive analysis and modelling for such data, both
from a two-point Gaussian perspective and multipoint perspective.
The methods mainly follow Tolosana-Delgado, Mueller and van den
URL: https://gitlab.hzdr.de/geomet/gmGeostats
Copyright: (C) 2020 by Helmholtz-Zentrum Dresden-Rossendorf and Edith Cowan University;
gsi.DS code by Hassan Talebi

Raimon Tolosana-Delgado
committed
RoxygenNote: 7.1.1
Roxygen: list(markdown = TRUE)
Encoding: UTF-8
VignetteBuilder: knitr
LazyData: true
Collate:
'Anamorphosis.R'
'compositionsCompatibility.R'
'variograms.R'
'gmSpatialMethodParameters.R'
'data.R'
'exploratools.R'
'genDiag.R'
'geostats.R'
'gmDataFrameStack.R'
'gmSimulation.R'
'gmSpatialModel.R'
'grids.R'
'mask.R'
'spSupport.R'
'uncorrelationTest.R'
'zzz.R'