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mapi: Mapping Averaged Pairwise Information

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.

Version: 1.0.5
Depends: R (≥ 3.3)
Imports: sf (≥ 0.5), data.table (≥ 1.10), Rcpp (≥ 0.10.0), parallel (≥ 3.3), pbapply (≥ 1.3)
LinkingTo: Rcpp
Suggests: grDevices, ggplot2 (≥ 2.3), latticeExtra, sp (≥ 1.3), progress
Published: 2022-01-19
DOI: 10.32614/CRAN.package.mapi
Author: Sylvain Piry ORCID iD [aut, cre], Thomas Campolunghi [aut], Florent Cestier [aut], Karine Berthier ORCID iD [aut]
Maintainer: Sylvain Piry <sylvain.piry at inrae.fr>
License: GPL (≥ 3)
URL: https://www1.montpellier.inra.fr/CBGP/software/MAPI/
NeedsCompilation: yes
Language: en-US
Citation: mapi citation info
Materials: README NEWS
CRAN checks: mapi results

Documentation:

Reference manual: mapi.pdf

Downloads:

Package source: mapi_1.0.5.tar.gz
Windows binaries: r-devel: mapi_1.0.5.zip, r-release: mapi_1.0.5.zip, r-oldrel: mapi_1.0.5.zip
macOS binaries: r-release (arm64): mapi_1.0.5.tgz, r-oldrel (arm64): mapi_1.0.5.tgz, r-release (x86_64): mapi_1.0.5.tgz, r-oldrel (x86_64): mapi_1.0.5.tgz
Old sources: mapi archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.