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  "Type": "Package",
  "Title": "Species Distribution Modeling and Ecological Niche Modeling",
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  "Date": "2025-01-22",
  "Authors@R": "c(\nperson(\ngiven = c('Adam', 'B.'),\nfamily = 'Smith',\nrole = c('cre', 'aut'),\nemail = 'adam.smith@mobot.org',\ncomment = c(ORCID = '0000-0002-6420-1659')\n)\n)",
  "Description": "Implements species distribution modeling and ecological\nniche modeling, including: bias correction, spatial\ncross-validation, model evaluation, raster interpolation,\nbiotic \"velocity\" (speed and direction of movement of a \"mass\"\nrepresented by a raster), interpolating across a time series of\nrasters, and use of spatially imprecise records. The heart of\nthe package is a set of \"training\" functions which\nautomatically optimize model complexity based number of\navailable occurrences. These algorithms include MaxEnt, MaxNet,\nboosted regression trees/gradient boosting machines,\ngeneralized additive models, generalized linear models, natural\nsplines, and random forests. To enhance interoperability with\nother modeling packages, no new classes are created. The\npackage works with 'PROJ6' geodetic objects and coordinate\nreference systems.",
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  "URL": "https://github.com/adamlilith/enmSdmX",
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  "License": "MIT + file LICENSE",
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  "Repository": "https://adamlilith.r-universe.dev",
  "Date/Publication": "2025-02-20 04:16:13 UTC",
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    "biogeography",
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    "geoFoldContrast",
    "geoThin",
    "getCRS",
    "getValueByCell",
    "globalx",
    "interpolateRasts",
    "longLatRasts",
    "modelSize",
    "nearestEnvPoints",
    "nearestGeogPoints",
    "nicheOverlapMetrics",
    "plotExtent",
    "predictEnmSdm",
    "predictMaxEnt",
    "predictMaxNet",
    "responseCurves",
    "sampleRast",
    "setValueByCell",
    "spatVectorToSpatial",
    "squareCellRast",
    "summaryByCrossValid",
    "trainBRT",
    "trainByCrossValid",
    "trainESM",
    "trainGAM",
    "trainGLM",
    "trainMaxEnt",
    "trainMaxNet",
    "trainNS",
    "trainRF",
    "weightByDist"
  ],
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      "name": "crss",
      "title": "Coordinate reference systems (CRSs) and nicknames",
      "object": "crss",
      "class": [
        "data.frame"
      ],
      "fields": [
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        "alias1",
        "alias2",
        "alias3",
        "epsg",
        "projected",
        "projGeometry",
        "datum",
        "type",
        "wkt2",
        "notes"
      ],
      "rows": 68,
      "table": true,
      "tojson": true
    },
    {
      "name": "lemurs",
      "title": "Lemur occurrences from GBIF",
      "object": "lemurs",
      "class": [
        "data.frame"
      ],
      "fields": [
        "species",
        "longitude",
        "latitude",
        "gbifID",
        "license",
        "year",
        "coordinateUncertaintyInMeters"
      ],
      "rows": 102,
      "table": true,
      "tojson": true
    },
    {
      "name": "mad0",
      "title": "Madagascar spatial object",
      "object": "mad0",
      "class": [
        "sf",
        "data.frame"
      ],
      "fields": [
        "GID_0",
        "NAME_0",
        "geometry"
      ],
      "rows": 1,
      "table": false,
      "tojson": true
    },
    {
      "name": "mad1",
      "title": "Madagascar spatial object",
      "object": "mad1",
      "class": [
        "sf",
        "data.frame"
      ],
      "fields": [
        "NAME_0",
        "NAME_1",
        "NAME_2",
        "geometry"
      ],
      "rows": 22,
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bioticVelocity",
      "title": "Velocity of shifts in densities across a series of rasters",
      "topics": [
        "bioticVelocity"
      ]
    },
    {
      "page": "canada",
      "title": "Vector outline of Canada",
      "topics": [
        "canada"
      ]
    },
    {
      "page": "compareResponse",
      "title": "Compare two response curves along one or more predictors",
      "topics": [
        "compareResponse"
      ]
    },
    {
      "page": "coordImprecision",
      "title": "Calculate the precision of a geographic coordinate",
      "topics": [
        "coordImprecision"
      ]
    },
    {
      "page": "countPoints",
      "title": "Number of points in a \"spatial points\" object",
      "topics": [
        "countPoints"
      ]
    },
    {
      "page": "crss",
      "title": "Coordinate reference systems (CRSs) and nicknames",
      "topics": [
        "crss"
      ]
    },
    {
      "page": "customAlbers",
      "title": "Custom coordinate reference system WKT2 string",
      "topics": [
        "customAlbers",
        "customLambert",
        "customVNS"
      ]
    },
    {
      "page": "decimalToDms",
      "title": "Convert geographic coordinates in decimal format to degrees-minutes-second",
      "topics": [
        "decimalToDms"
      ]
    },
    {
      "page": "dmsToDecimal",
      "title": "Convert geographic coordinates in degrees-minutes-second to decimal format",
      "topics": [
        "dmsToDecimal"
      ]
    },
    {
      "page": "elimCellDuplicates",
      "title": "Thin spatial points so that there is but one per raster cell",
      "topics": [
        "elimCellDuplicates"
      ]
    },
    {
      "page": "evalAUC",
      "title": "Weighted AUC",
      "topics": [
        "evalAUC"
      ]
    },
    {
      "page": "evalContBoyce",
      "title": "Continuous Boyce Index (CBI) with weighting",
      "topics": [
        "evalContBoyce"
      ]
    },
    {
      "page": "evalMultiAUC",
      "title": "Calculate multivariate weighted AUC",
      "topics": [
        "evalMultiAUC"
      ]
    },
    {
      "page": "evalThreshold",
      "title": "Weighted thresholds for predictions",
      "topics": [
        "evalThreshold"
      ]
    },
    {
      "page": "evalThresholdStats",
      "title": "Thresholded evaluation statistics",
      "topics": [
        "evalThresholdStats"
      ]
    },
    {
      "page": "evalTjursR2",
      "title": "Weighted Tjur's R2",
      "topics": [
        "evalTjursR2"
      ]
    },
    {
      "page": "evalTSS",
      "title": "Weighted True Skill Statistic (TSS)",
      "topics": [
        "evalTSS"
      ]
    },
    {
      "page": "extentToVect",
      "title": "Convert extent to a spatial polygon",
      "topics": [
        "extentToVect"
      ]
    },
    {
      "page": "geoFold",
      "title": "Assign geographically-distinct k-folds",
      "topics": [
        "geoFold"
      ]
    },
    {
      "page": "geoFoldContrast",
      "title": "Assign geographically-distinct k-folds to background/absence sites",
      "topics": [
        "geoFoldContrast"
      ]
    },
    {
      "page": "geoThin",
      "title": "Thin geographic points deterministically or randomly",
      "topics": [
        "geoThin"
      ]
    },
    {
      "page": "getCRS",
      "title": "WKT string for a named coordinate reference system or a spatial object",
      "topics": [
        "getCRS"
      ]
    },
    {
      "page": "getValueByCell",
      "title": "Get or assign values to cells in a raster",
      "topics": [
        "getValueByCell",
        "setValueByCell"
      ]
    },
    {
      "page": "globalx",
      "title": "\"Friendly\" wrapper for terra::global() for calculating raster statistics",
      "topics": [
        "globalx"
      ]
    },
    {
      "page": "interpolateRasts",
      "title": "Interpolate values from a series of rasters",
      "topics": [
        "interpolateRasts"
      ]
    },
    {
      "page": "lemurs",
      "title": "Lemur occurrences from GBIF",
      "topics": [
        "lemurs"
      ]
    },
    {
      "page": "longLatRasts",
      "title": "Generate rasters with cell values equal to cell longitude or latitude",
      "topics": [
        "longLatRasts"
      ]
    },
    {
      "page": "mad0",
      "title": "Madagascar spatial object",
      "topics": [
        "mad0"
      ]
    },
    {
      "page": "mad1",
      "title": "Madagascar spatial object",
      "topics": [
        "mad1"
      ]
    },
    {
      "page": "madClim",
      "title": "Present-day climate rasters for Madagascar",
      "topics": [
        "madClim"
      ]
    },
    {
      "page": "madClim2030",
      "title": "Future climate rasters for Madagascar",
      "topics": [
        "madClim2030"
      ]
    },
    {
      "page": "madClim2050",
      "title": "Future climate rasters for Madagascar",
      "topics": [
        "madClim2050"
      ]
    },
    {
      "page": "madClim2070",
      "title": "Future climate rasters for Madagascar",
      "topics": [
        "madClim2070"
      ]
    },
    {
      "page": "madClim2090",
      "title": "Future climate rasters for Madagascar",
      "topics": [
        "madClim2090"
      ]
    },
    {
      "page": "modelSize",
      "title": "Number of response data in a model object",
      "topics": [
        "modelSize"
      ]
    },
    {
      "page": "nearestEnvPoints",
      "title": "Extract \"most conservative\" environments from points and/or polygons",
      "topics": [
        "nearestEnvPoints"
      ]
    },
    {
      "page": "nearestGeogPoints",
      "title": "Minimum convex polygon from a set of spatial polygons and/or points",
      "topics": [
        "nearestGeogPoints"
      ]
    },
    {
      "page": "nicheOverlapMetrics",
      "title": "Metrics of niche overlap",
      "topics": [
        "nicheOverlapMetrics"
      ]
    },
    {
      "page": "plotExtent",
      "title": "Create spatial polygon same size as a plot",
      "topics": [
        "plotExtent"
      ]
    },
    {
      "page": "predictEnmSdm",
      "title": "Generic predict function for SDMs/ENMs",
      "topics": [
        "predictEnmSdm"
      ]
    },
    {
      "page": "predictMaxEnt",
      "title": "Predict a MaxEnt model object (with optional feature-level permutation)",
      "topics": [
        "predictMaxEnt"
      ]
    },
    {
      "page": "predictMaxNet",
      "title": "Predictions from a MaxNet model",
      "topics": [
        "predictMaxNet"
      ]
    },
    {
      "page": "responseCurves",
      "title": "Plot response curves for one or more models",
      "topics": [
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      ]
    },
    {
      "page": "sampleRast",
      "title": "Sample random points from a raster with/out replacement",
      "topics": [
        "sampleRast"
      ]
    },
    {
      "page": "spatVectorToSpatial",
      "title": "Convert SpatVector to Spatial*",
      "topics": [
        "spatVectorToSpatial"
      ]
    },
    {
      "page": "squareCellRast",
      "title": "Create a raster with square cells",
      "topics": [
        "squareCellRast"
      ]
    },
    {
      "page": "summaryByCrossValid",
      "title": "Summarize distribution/niche model cross-validation object",
      "topics": [
        "summaryByCrossValid"
      ]
    },
    {
      "page": "trainBrt",
      "title": "Calibrate a boosted regression tree (generalized boosting machine) model",
      "topics": [
        "trainBRT"
      ]
    },
    {
      "page": "trainByCrossValid",
      "title": "Calibrate a distribution/niche model using cross-validation",
      "topics": [
        "trainByCrossValid"
      ]
    },
    {
      "page": "trainESM",
      "title": "Calibrate an ensemble of small models",
      "topics": [
        "trainESM"
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    },
    {
      "page": "trainGam",
      "title": "Calibrate a generalized additive model (GAM)",
      "topics": [
        "trainGAM"
      ]
    },
    {
      "page": "trainGlm",
      "title": "Calibrate a generalized linear model (GLM)",
      "topics": [
        "trainGLM"
      ]
    },
    {
      "page": "trainMaxEnt",
      "title": "Calibrate a MaxEnt model using AICc",
      "topics": [
        "trainMaxEnt"
      ]
    },
    {
      "page": "trainMaxNet",
      "title": "Calibrate a MaxNet model using AICc",
      "topics": [
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