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"Title": "Vegetation Patterns",
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"Authors@R": "c(\nperson(\"Tiago\", \"Monteiro-Henriques\", , \"tmh.dev@icloud.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-4206-0699\")),\nperson(\"Jorge Orestes\", \"Cerdeira\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-3814-7660\")),\nperson(\"Fundação para a Ciência e a Tecnologia, Portugal\", role = \"fnd\",\ncomment = \"\")\n)",
"Description": "Find, visualize and explore patterns of differential taxa\nin vegetation data (namely in a phytosociological table), using\nthe Differential Value (DiffVal). Patterns are searched through\nmathematical optimization algorithms. Ultimately, Total\nDifferential Value (TDV) optimization aims at obtaining\nclassifications of vegetation data based on differential taxa,\nas in the traditional geobotanical approach (Monteiro-Henriques\n2025, ). The Gurobi optimizer, as well\nas the R package 'gurobi', can be installed from\n. The\nuseful vignette Gurobi Installation Guide, from package\n'prioritizr', can be found here:\n.",
"License": "GPL (>= 3)",
"URL": "https://point-veg.gitlab.io/diffval/",
"BugReports": "https://gitlab.com/point-veg/diffval/-/issues",
"Encoding": "UTF-8",
"Language": "en-GB",
"LazyData": "true",
"Roxygen": "list(markdown = TRUE)",
"RoxygenNote": "7.3.2",
"Repository": "https://tiagomonteirohenriques.r-universe.dev",
"Date/Publication": "2025-11-24 12:30:47 UTC",
"RemoteUrl": "https://gitlab.com/point-veg/diffval",
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"NeedsCompilation": "no",
"Packaged": {
"Date": "2026-05-23 07:54:47 UTC",
"User": "root"
},
"Author": "Tiago Monteiro-Henriques [aut, cre] (ORCID:\n),\nJorge Orestes Cerdeira [aut] (ORCID:\n),\nFundação para a Ciência e a Tecnologia, Portugal [fnd]\n()",
"Maintainer": "Tiago Monteiro-Henriques ",
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"_host": "GitHub-Actions",
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"_commit": {
"id": "09b37ac7e2defda0903a8aedaa56fb0be37cc1f3",
"author": "CITAB-UTAD ",
"committer": "CITAB-UTAD ",
"message": "Updated website\n",
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"email": "tmh.dev@icloud.com",
"login": "tiagomonteirohenriques",
"description": "",
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"_selfowned": true,
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"_updates": [
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"week": "2025-43",
"n": 25
},
{
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"n": 4
}
],
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"date": "2025-10-22"
}
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"source": "https://cranlogs.r-pkg.org/downloads/total/last-month/diffval"
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"_pkgdown": "https://point-veg.gitlab.io/diffval/",
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],
"_homeurl": "https://gitlab.com/point-veg/diffval",
"_realowner": "tiagomonteirohenriques",
"_cranurl": true,
"_releases": [
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},
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"date": "2023-03-09"
},
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"_exports": [
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"explore_tabulation",
"identical_partition",
"internal_assignment",
"optim_tdv_gurobi_k_2",
"optim_tdv_hill_climb",
"optim_tdv_simul_anne",
"partition_tdv_grasp",
"partition_tdv_grdtp",
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],
"_datasets": [
{
"name": "taxus_bin",
"title": "_Taxus baccata_ forests",
"object": "taxus_bin",
"class": [
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"array"
],
"fields": [
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"EST04",
"EST05",
"GER12",
"GER17",
"GER19",
"GER20",
"GER21",
"GER22",
"GER23",
"GER24",
"GER25",
"GER26",
"GER27",
"LE01",
"LE02",
"LE03",
"LE04",
"LE05",
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],
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}
],
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{
"page": "bigdata_tdv",
"title": "The Total Differential Value of a big phytosociological data set",
"topics": [
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]
},
{
"page": "explore_tabulation",
"title": "Interactively explore a tabulation of a phytosociological matrix",
"topics": [
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]
},
{
"page": "identical_partition",
"title": "Do the vectors represent the same k-partition?",
"topics": [
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]
},
{
"page": "internal_assignment",
"title": "Check the internal assignment of a given classification",
"topics": [
"internal_assignment"
]
},
{
"page": "optim_tdv_gurobi_k_2",
"title": "Total Differential Value optimization using Gurobi",
"topics": [
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]
},
{
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"title": "Total Differential Value optimization using Hill-climbing algorithms",
"topics": [
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]
},
{
"page": "optim_tdv_simul_anne",
"title": "Total Differential Value optimization using a Simulated Annealing (and GRASP) algorithm(s)",
"topics": [
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]
},
{
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"title": "Obtain a partition using a GRASP algorithm",
"topics": [
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},
{
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"title": "Obtain a partition using a Greedy-type algorithm",
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