Package: diffval 1.2.0.9001
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 (Monteiro-Henriques 2025, <doi:10.3897/VCS.140466>). 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>.
Authors:
diffval_1.2.0.9001.tar.gz
diffval_1.2.0.9001.zip(r-4.7)diffval_1.2.0.9001.zip(r-4.6)diffval_1.2.0.9001.zip(r-4.5)
diffval_1.2.0.9001.tgz(r-4.6-any)diffval_1.2.0.9001.tgz(r-4.5-any)
diffval_1.2.0.9001.tar.gz(r-4.7-any)diffval_1.2.0.9001.tar.gz(r-4.6-any)
diffval_1.2.0.9001.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
diffval/json (API)
| # Install 'diffval' in R: |
| install.packages('diffval', repos = c('https://tiagomonteirohenriques.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://gitlab.com/point-veg/diffval
Pkgdown/docs site:https://point-veg.gitlab.io
- taxus_bin - _Taxus baccata_ forests
Last updated from:09b37ac7e2. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 109 | ||
| source / vignettes | OK | 174 | ||
| linux-release-x86_64 | OK | 101 | ||
| macos-release-arm64 | OK | 173 | ||
| macos-oldrel-arm64 | OK | 172 | ||
| windows-devel | OK | 108 | ||
| windows-release | OK | 71 | ||
| windows-oldrel | OK | 69 | ||
| wasm-release | OK | 101 |
Exports:bigdata_tdvexplore_tabulationidentical_partitioninternal_assignmentoptim_tdv_gurobi_k_2optim_tdv_hill_climboptim_tdv_simul_annepartition_tdv_grasppartition_tdv_grdtptabulationtdv
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The Total Differential Value of a big phytosociological data set | bigdata_tdv |
| Interactively explore a tabulation of a phytosociological matrix | explore_tabulation |
| Do the vectors represent the same k-partition? | identical_partition |
| Check the internal assignment of a given classification | internal_assignment |
| Total Differential Value optimization using Gurobi | optim_tdv_gurobi_k_2 |
| Total Differential Value optimization using Hill-climbing algorithms | optim_tdv_hill_climb |
| Total Differential Value optimization using a Simulated Annealing (and GRASP) algorithm(s) | optim_tdv_simul_anne |
| Obtain a partition using a GRASP algorithm | partition_tdv_grasp |
| Obtain a partition using a Greedy-type algorithm | partition_tdv_grdtp |
| Rearrange a phytosociological table, showing differential taxa on top | tabulation |
| _Taxus baccata_ forests | taxus_bin |
| The Total Differential Value of a phytosociological table | tdv |
