{ "_id": "6a1d312f1d7bb097a0a3afd5", "Package": "mbg", "Title": "Model-Based Geostatistics", "Version": "1.2.0", "Authors@R": "c(\nperson(\"Nathaniel\", \"Henry\", email = \"nat@henryspatialanalysis.com\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0001-8150-4988\")),\nperson(\"Benjamin\", \"Mayala\", role = c(\"aut\")),\nperson(\"Roy\", \"Burstein\", role = c(\"ctb\"), comment = c(ORCID = \"0000-0001-8991-4762\")),\nperson(\"Nafis\", \"Sadat\", role = c(\"ctb\")),\nperson(\"Michael\", \"Richards\", role = c(\"ctb\")),\nperson(\"Michael\", \"Collison\", role = c(\"ctb\")),\nperson(\"Michael\", \"Cork\", role = c(\"ctb\")))", "Description": "Modern model-based geostatistics for point-referenced\ndata. This package provides a simple interface to run spatial\nmachine learning models and geostatistical models that estimate\na continuous (raster) surface from point-referenced outcomes\nand, optionally, a set of raster covariates. 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