diffval: Vegetation Patterns

Find, visualize and explore patterns of differential taxa in vegetation data (namely in a phytosociological table), using the Differential Value (DiffVal). Patterns are searched through mathematical optimization algorithms. Ultimately, Total Differential Value (TDV) optimization aims at obtaining classifications of vegetation data based on differential taxa, as in the traditional geobotanical approach. The Gurobi optimizer, as well as the R package 'gurobi', can be installed from <https://www.gurobi.com/products/gurobi-optimizer/>. The useful vignette Gurobi Installation Guide, from package 'prioritizr', can be found here: <https://prioritizr.net/articles/gurobi_installation_guide.html>.

Version: 1.0.0
Depends: R (≥ 2.10)
Imports: graphics, stats
Suggests: gurobi, utils
Published: 2022-11-14
Author: Tiago Monteiro-Henriques ORCID iD [aut, cre], Jorge Orestes Cerdeira ORCID iD [aut], Fundação para a Ciência e a Tecnologia, Portugal [fnd] (<https://www.fct.pt/>)
Maintainer: Tiago Monteiro-Henriques <tmh.dev at icloud.com>
BugReports: https://gitlab.com/point-veg/diffval/-/issues
License: GPL (≥ 3)
URL: https://gitlab.com/point-veg/diffval
NeedsCompilation: no
Materials: README NEWS
CRAN checks: diffval results

Documentation:

Reference manual: diffval.pdf

Downloads:

Package source: diffval_1.0.0.tar.gz
Windows binaries: r-devel: diffval_1.0.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): diffval_1.0.0.tgz, r-oldrel (arm64): diffval_1.0.0.tgz, r-release (x86_64): diffval_1.0.0.tgz, r-oldrel (x86_64): diffval_1.0.0.tgz

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