{ "_id": "6a131531acfb0bcc41d261ea", "Package": "voluModel", "Title": "Modeling Species Distributions in Three Dimensions", "Version": "0.2.4.9000", "Authors@R": "c(person(given = \"Hannah L.\",\nfamily = \"Owens\",\nrole = c(\"aut\", \"cre\", \"cph\"),\nemail = \"hannah.owens@gmail.com\",\ncomment = c(ORCID = \"0000-0003-0071-1745\")),\nperson(given = \"Emmaline\",\nfamily = \"Sheahan\",\nrole = \"aut\",\nemail = \"sheahane@ufl.edu\",\ncomment = c(ORCID = \"0000-0003-3358-9758\")),\nperson(given = \"Carsten\",\nfamily = \"Rahbek\",,,\nrole=\"aut\",\ncomment = c(ORCID = \"0000-0003-4585-0300\")))", "Maintainer": "Hannah L. Owens ", "Description": "Facilitates modeling species' ecological niches and\ngeographic distributions based on occurrences and environments\nthat have a vertical as well as horizontal component, and\nprojecting models into three-dimensional geographic space.\nWorking in three dimensions is useful in an aquatic context\nwhen the organisms one wishes to model can be found across a\nwide range of depths in the water column. The package also\ncontains functions to automatically generate marine training\nmodel training regions using machine learning, and interpolate\nand smooth patchily sampled environmental rasters using thin\nplate splines. Davis Rabosky AR, Cox CL, Rabosky DL, Title PO,\nHolmes IA, Feldman A, McGuire JA (2016)\n. Nychka D, Furrer R, Paige J, Sain S\n(2021) . 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