{
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  "Package": "spacemodR",
  "Title": "Wildlife Chemical Risk Mapping Through Food Webs",
  "Version": "0.3.5",
  "Date": "2026-10-14",
  "Authors@R": "c(person(\"Virgile\", \"Baudrot\", email = \"virgile.baudrot@qonfluens.com\", role = c(\"aut\", \"cre\", \"cph\")),\nperson(\"Léa\", \"Bariod\", email = \"lea.bariod@univ-fcomte.fr\", role = \"aut\"),\nperson(\"Clémentine\", \"Fritsch\", email = \"clementine.fritsch@univ-fcomte.fr\", role = c(\"aut\", \"cph\")),\nperson(\"Renaud\", \"Scheifler\", email = \"renaud.scheifler@univ-fcomte.fr\", role = \"aut\"),\nperson(\"Quentin\", \"Devalloir\", email = \"quentin.devalloir@qonfluens.com\", role = \"aut\")\n)",
  "Description": "A workflow to map the risk of chemicals for wildlife:\nhabitat, food web, dispersal, exposure and risk. Starting from\na raster of chemical concentrations in the environment (e.g.,\nmetals in soil, pesticides in fields), the package builds\nhabitat layers for a set of species, organises them in a\ndirected acyclic graph representing a food web, and propagates\nthe flow of elements (e.g., food, energy, chemicals) along its\nlinks. It also provides soil interpolation by kriging,\ndispersal by kernel convolution or by circuit theory (through\nthe optional 'Julia' package 'Omniscape'), land cover retrieval\nfor France ('OCS-GE') and Europe ('EUNIS'), and Bayesian\ncalibration of transfer models with 'Stan'.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/Qonfluens/spacemodR,\nhttps://qonfluens.github.io/spacemodR/",
  "BugReports": "https://github.com/Qonfluens/spacemodR/issues",
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  "Repository": "https://qonfluens.r-universe.dev",
  "Date/Publication": "2026-10-14 09:40:09 UTC",
  "RemoteUrl": "https://github.com/qonfluens/spacemodr",
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  "Packaged": {
    "Date": "2026-10-14 14:10:58 UTC",
    "User": "root"
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  "Author": "Virgile Baudrot [aut, cre, cph],\nLéa Bariod [aut],\nClémentine Fritsch [aut, cph],\nRenaud Scheifler [aut],\nQuentin Devalloir [aut]",
  "Maintainer": "Virgile Baudrot <virgile.baudrot@qonfluens.com>",
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