{
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  "Package": "quaxnat",
  "Title": "Estimation of Natural Regeneration Potential",
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  "Authors@R": "c(person(given = \"Maximilian\",\nfamily = \"Axer\",\nemail = \"maximilian.axer@nw-fva.de\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-1482-9613\")),\nperson(given = \"Robert\",\nfamily = \"Schlicht\",\nrole = c(\"aut\")),\nperson(given = \"Robert\",\nfamily = \"Nuske\",\nrole = c(\"ctb\"),\ncomment = c(ORCID = \"0000-0001-9773-2061\")),\nperson(\"Nordwestdeutsche Forstliche Versuchsanstalt (NW-FVA)\",\nrole=c(\"fnd\")),\nperson(\"Staatsbetrieb Sachsenforst\",\nrole=c(\"fnd\")),\nperson(\"Technische Universität Dresden\",\nrole=c(\"fnd\", \"cph\")))",
  "Description": "Functions for estimating the potential dispersal of tree\nspecies using regeneration densities and dispersal distances to\nnearest seed trees. A quantile regression is implemented to\ndetermine the dispersal potential. Spatial prediction can be\nused to identify natural regeneration potential for forest\nrestoration as described in Axer et al (2021)\n<doi:10.1016/j.foreco.2020.118802>.",
  "License": "GPL (>=2)",
  "URL": "https://github.com/MaximilianAxer/quaxnat",
  "BugReports": "https://github.com/MaximilianAxer/quaxnat/issues",
  "Encoding": "UTF-8",
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  "Repository": "https://maximilianaxer.r-universe.dev",
  "Date/Publication": "2024-10-28 15:52:32 UTC",
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    "Date": "2026-10-24 08:31:52 UTC",
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  "Author": "Maximilian Axer [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-1482-9613>),\nRobert Schlicht [aut],\nRobert Nuske [ctb] (ORCID: <https://orcid.org/0000-0001-9773-2061>),\nNordwestdeutsche Forstliche Versuchsanstalt (NW-FVA) [fnd],\nStaatsbetrieb Sachsenforst [fnd],\nTechnische Universität Dresden [fnd, cph]",
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  "_expires": "2027-02-01T08:35:34.000Z",
  "_created": "2026-10-24T08:31:52.000Z",
  "_published": "2026-10-24T08:35:35.605Z",
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      "name": "regeneration",
      "title": "Regeneration densities at inventory plots and potential dispersal distances to nearest seed trees",
      "object": "regeneration",
      "file": "regeneration.RData",
      "class": [
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        "beech_regen",
        "douglas_regen"
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      "page": "extract_dist",
      "title": "Extracting distances to nearest seed source for point data",
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      "page": "k_exponential_power",
      "title": "Dispersal kernels from exponential power family",
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      "title": "Dispersal kernels for log-normal distance distributions",
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        "k_lognormal"
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    {
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      "title": "Power-law dispersal kernels",
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      ]
    },
    {
      "page": "k_t",
      "title": "Dispersal kernels from spatial t distribution",
      "topics": [
        "k_t"
      ]
    },
    {
      "page": "k_weibull",
      "title": "Dispersal kernels for Weibull distance distributions",
      "topics": [
        "k_weibull"
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    {
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      "title": "Prediction of potential regeneration densities",
      "topics": [
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      "page": "quax",
      "title": "Estimating potential regeneration densities by quantile regression",
      "topics": [
        "quax",
        "quax.default",
        "quax.formula"
      ]
    },
    {
      "page": "regeneration",
      "title": "Regeneration densities at inventory plots and potential dispersal distances to nearest seed trees",
      "topics": [
        "regeneration"
      ]
    },
    {
      "page": "seed_tree_distmap",
      "title": "Distance map to nearest seed source",
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        "seed_tree_distmap"
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    {
      "page": "summary.quax",
      "title": "Summarizing quantile regression fits of potential regeneration densities",
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