Title: Mapping Averaged Pairwise Information
Author: Sylvain Piry, Thomas Campolunghi, Florent Cestier, Karine Berthier
Description: Mapping Averaged Pairwise Information (MAPI) is an exploratory method providing graphical representations summarizing the spatial variation of pairwise metrics (eg. distance, similarity coefficient, ...) computed between georeferenced samples. Reference: Piry et al. (2016) <DOI:10.1111/2041-210X.12616>.
Suggests: progress (>= 1.0), grDevices, sp (>= 1.3), latticeExtra

Description: Mapping Averaged Pairwise Information (MAPI) is an
exploratory method providing graphical representations summarizing the
spatial variation of pairwise metrics (eg. distance, similarity
coefficient, ...) computed between georeferenced samples.
Imports: Rcpp (>= 0.10.0), data.table (>= 1.10), sf (>= 0.5), parallel
Suggests: ggplot2 (>= 2.3), grDevices, latticeExtra, sp (>= 1.3),
Author: Sylvain Piry [aut, cre] (<https://orcid.org/0000-0002-7717-7555>),

Imports: sf (>= 0.5), data.table (>= 1.10), Rcpp (>= 0.10.0), parallel
Suggests: grDevices, ggplot2 (>= 2.3), latticeExtra, sp (>= 1.3),

person("Sylvain", "Piry", , "sylvain.piry@inrae.fr", role = c("aut", "cre"),
person("Thomas", "Campolunghi", role = "aut"),
person("Florent", "Cestier", role = "aut"),
person("Karine", "Berthier", , "karine.berthier@inrae.fr", role = "aut",

Title: Create Contour Polygons from Regular Grids
Description: Regularly spaced grids containing continuous data are transformed
to contour polygons. A grid can be defined by a data.frame (x, y, value),
an 'sf' object or a raster from 'terra'.

Title: Bayesian Analysis of Multi-Sample Spatial Transcriptomics
Description: Allows for robust probabilistic analysis of multi-sample spatial transcriptomics experiments (Allen et. al, 2021 <doi:10.1101/2021.06.23.449615>).
Imports: spruce, Seurat, stats, dbarts, ggplot2, dplyr, ggalluvial,
Author: Carter Allen [aut, cre] (<https://orcid.org/0000-0001-6937-7234>),

Package: mapme.biodiversity
Title: Efficient Monitoring of Global Biodiversity Portfolios
Version: 0.0.1
Authors@R: c(
person("Darius A.", "Görgen", , "darius2402@web.de", role = c("aut", "cre")),
person("Om Prakash", "Bhandari", role = "aut")
)
Description: Biodiversity areas, especially primary forest, serve a
multitude of functions for local economy, regional functionality of
the ecosystems as well as the global health of our planet. Recently,
adverse changes in human land use practices and climatic responses to
increased greenhouse gas emissions, put these biodiversity areas under
a variety of different threats. The present package helps to analyse a
number of biodiversity indicators based on freely available
geographical datasets. It supports computational efficient routines
that allow the analysis of potentially global biodiversity portfolios.
The primary use case of the package is to support evidence based
reporting of an organization's effort to protect biodiversity areas
under threat and to identify regions were intervention is most duly
needed.
License: GPL (>= 3)
Depends: R (>= 3.5.0)
Imports: curl, data.table, dplyr, httr, magrittr, pbapply, rvest, sf,
stringr, terra, tibble, tidyr, tidyselect
Suggests: DiagrammeR, exactextractr, ggplot2, knitr, lwgeom, rmarkdown,
SPEI, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.1.2
SystemRequirements: GDAL (>= 3.0.0), PROJ (>= 4.8.0)
NeedsCompilation: no
Packaged: 2022-04-15 11:57:51 UTC; darius
Author: Darius A. Görgen [aut, cre],
Om Prakash Bhandari [aut]
Maintainer: Darius A. Görgen <darius2402@web.de>
Repository: CRAN
Date/Publication: 2022-04-19 08:42:30 UTC