pgirmess: Spatial Analysis and Data Mining for Field Ecologists

Set of tools for reading, writing and transforming spatial and seasonal data, model selection and specific statistical tests for ecologists. It includes functions to interpolate regular positions of points between landmarks, to discretize polylines into regular point positions, link distant observations to points and convert a bounding box in a spatial object. It also provides miscellaneous functions for field ecologists such as spatial statistics and inference on diversity indexes, writing data.frame with Chinese characters.

Version: 2.0.0
Imports: boot (≥ 1.3-4), sf (≥ 1.0-4), sp (≥ 0.9-97), spdep (≥ 1.1-7)
Suggests: MASS (≥ 7.3-1), nlme (≥ 3.1-120)
Published: 2022-02-23
Author: Patrick Giraudoux ORCID iD [aut, cre], Jean-Philippe Antonietti [ctb], Colin Beale [ctb], Renaud Lancelot [ctb], David Pleydell [ctb], Mike Treglia [ctb]
Maintainer: Patrick Giraudoux <patrick.giraudoux at univ-fcomte.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://giraudoux.pagesperso-orange.fr, https://github.com/pgiraudoux/pgirmess
NeedsCompilation: no
In views: Environmetrics
CRAN checks: pgirmess results

Documentation:

Reference manual: pgirmess.pdf

Downloads:

Package source: pgirmess_2.0.0.tar.gz
Windows binaries: r-devel: pgirmess_2.0.0.zip, r-release: pgirmess_2.0.0.zip, r-oldrel: pgirmess_2.0.0.zip
macOS binaries: r-release (arm64): pgirmess_2.0.0.tgz, r-release (x86_64): pgirmess_2.0.0.tgz, r-oldrel: pgirmess_2.0.0.tgz
Old sources: pgirmess archive

Reverse dependencies:

Reverse suggests: multcompView

Linking:

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