{
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  "Package": "dynamicSDM",
  "Title": "Species Distribution and Abundance Modelling at High\nSpatio-Temporal Resolution",
  "Version": "1.3.4",
  "Authors@R": "c(\nperson(\"Rachel\", \"Dobson\", , \"eerdo@leeds.ac.uk\", role = c(\"aut\", \"cre\", \"ctb\"),\ncomment = c(ORCID = \"0000-0003-3990-267X\")),\nperson(\"Andy J.\", \"Challinor\", , \"A.J.Challinor@leeds.ac.uk\", role = c(\"aut\", \"ctb\"),\ncomment = c(ORCID = \"0000-0002-8551-6617\")),\nperson(\"Robert A.\", \"Cheke\", , \"R.A.Cheke@greenwich.ac.uk\", role = c(\"aut\", \"ctb\"),\ncomment = c(ORCID = \"0000-0002-7437-1934\")),\nperson(\"Stewart\", \"Jennings\", , \"S.A.Jennings@leeds.ac.uk\", role = c(\"aut\", \"ctb\"),\ncomment = c(ORCID = \"0000-0002-1267-8623\")),\nperson(\"Stephen G.\", \"Willis\", , \"s.g.willis@durham.ac.uk\", role = c(\"aut\", \"ctb\"),\ncomment = c(ORCID = \"0000-0002-8656-5808\")),\nperson(\"Martin\", \"Dallimer\", , \"M.Dallimer@leeds.ac.uk\", role = c(\"aut\", \"ctb\"),\ncomment = c(ORCID = \"0000-0001-8120-3309\")))",
  "Description": "A collection of novel tools for generating species\ndistribution and abundance models (SDM) that are dynamic\nthrough both space and time. These highly flexible functions\nincorporate spatial and temporal aspects across key SDM stages;\nincluding when cleaning and filtering species occurrence data,\ngenerating pseudo-absence records, assessing and correcting\nsampling biases and autocorrelation, extracting explanatory\nvariables and projecting distribution patterns. Throughout,\nfunctions utilise Google Earth Engine and Google Drive to\nminimise the computing power and storage demands associated\nwith species distribution modelling at high spatio-temporal\nresolution.",
  "License": "GPL (>= 3)",
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  "URL": "https://github.com/r-a-dobson/dynamicSDM",
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  "Repository": "https://r-a-dobson.r-universe.dev",
  "Date/Publication": "2025-07-14 06:50:14 UTC",
  "RemoteUrl": "https://github.com/r-a-dobson/dynamicsdm",
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  "Packaged": {
    "Date": "2026-06-09 07:38:46 UTC",
    "User": "root"
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  "Author": "Rachel Dobson [aut, cre, ctb] (ORCID:\n<https://orcid.org/0000-0003-3990-267X>),\nAndy J. Challinor [aut, ctb] (ORCID:\n<https://orcid.org/0000-0002-8551-6617>),\nRobert A. Cheke [aut, ctb] (ORCID:\n<https://orcid.org/0000-0002-7437-1934>),\nStewart Jennings [aut, ctb] (ORCID:\n<https://orcid.org/0000-0002-1267-8623>),\nStephen G. Willis [aut, ctb] (ORCID:\n<https://orcid.org/0000-0002-8656-5808>),\nMartin Dallimer [aut, ctb] (ORCID:\n<https://orcid.org/0000-0001-8120-3309>)",
  "Maintainer": "Rachel Dobson <eerdo@leeds.ac.uk>",
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  "_created": "2026-06-09T07:38:46.000Z",
  "_published": "2026-06-09T07:43:10.989Z",
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    "extract_buffered_coords",
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    "extract_dynamic_coords",
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    "spatiotemp_autocorr",
    "spatiotemp_bias",
    "spatiotemp_block",
    "spatiotemp_check",
    "spatiotemp_extent",
    "spatiotemp_pseudoabs",
    "spatiotemp_resolution",
    "spatiotemp_thin",
    "spatiotemp_weights"
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      "table": true,
      "tojson": true
    },
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      "title": "Sample e-Bird sampling event records",
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        "y",
        "day",
        "month",
        "year"
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      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
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      "title": "Sample species occurrence records with associated dynamic explanatory variables",
      "object": "sample_explan_data",
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        "y",
        "year",
        "month",
        "day",
        "decimalLatitude",
        "decimalLongitude",
        "occurrenceStatus",
        "source",
        "species",
        "SAMP_EFFORT",
        "REL_SAMP_EFFORT",
        "unique.ID.DYN",
        "eight_sum_prec",
        "year_sum_prec",
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        "presence.absence"
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      "rows": 330,
      "table": true,
      "tojson": true
    },
    {
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      "title": "MULTIPOLYGON object for the extent of southern Africa",
      "object": "sample_extent_data",
      "class": [
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        "data.frame"
      ],
      "fields": [
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        "geometry"
      ],
      "rows": 10,
      "table": false,
      "tojson": true
    },
    {
      "name": "sample_filt_data",
      "title": "Sample of filtered species occurrence records",
      "object": "sample_filt_data",
      "class": [
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      ],
      "fields": [
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        "y",
        "year",
        "month",
        "day",
        "decimalLatitude",
        "decimalLongitude",
        "occurrenceStatus",
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        "SAMP_EFFORT",
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      ],
      "rows": 330,
      "table": true,
      "tojson": true
    },
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      "object": "sample_occ_data",
      "class": [
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      "fields": [
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        "month",
        "day",
        "decimalLatitude",
        "decimalLongitude",
        "occurrenceStatus",
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      "rows": 600,
      "table": true,
      "tojson": true
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  "_help": [
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      "page": "brt_fit",
      "title": "Fit boosted regression tree models to species distribution or abundance data.",
      "topics": [
        "brt_fit"
      ]
    },
    {
      "page": "convert_gbif",
      "title": "Reformats GBIF data into 'dynamicSDM' data frame",
      "topics": [
        "convert_gbif"
      ]
    },
    {
      "page": "dynamic_proj",
      "title": "Project species distribution and abundance models onto dynamic environmental covariates.",
      "topics": [
        "dynamic_proj"
      ]
    },
    {
      "page": "dynamic_proj_covariates",
      "title": "Combine explanatory variable rasters into covariates for each projection date.",
      "topics": [
        "dynamic_proj_covariates"
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    },
    {
      "page": "dynamic_proj_dates",
      "title": "Generate vector of dates for dynamic projections",
      "topics": [
        "dynamic_proj_dates"
      ]
    },
    {
      "page": "dynamic_proj_GIF",
      "title": "Create GIF of dynamic species distribution and abundance projections",
      "topics": [
        "dynamic_proj_GIF"
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    },
    {
      "page": "extract_buffered_coords",
      "title": "Extract spatially buffered and temporally dynamic explanatory variable data for occurrence records.",
      "topics": [
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    },
    {
      "page": "extract_buffered_raster",
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      "topics": [
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    },
    {
      "page": "extract_coords_combine",
      "title": "Combine extracted explanatory variable data for occurrence records into single data frame.",
      "topics": [
        "extract_coords_combine"
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    },
    {
      "page": "extract_dynamic_coords",
      "title": "Extract temporally dynamic explanatory variable data for occurrence records.",
      "topics": [
        "extract_dynamic_coords"
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    },
    {
      "page": "extract_dynamic_raster",
      "title": "Extract temporally dynamic rasters of explanatory variables.",
      "topics": [
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    },
    {
      "page": "extract_static_coords",
      "title": "Extract explanatory variables from static rasters",
      "topics": [
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      ]
    },
    {
      "page": "get_moving_window",
      "title": "Generate a “moving window” matrix of optimal size",
      "topics": [
        "get_moving_window"
      ]
    },
    {
      "page": "sample_cov_data",
      "title": "Sample projection covariates three variables across for southern Africa.",
      "topics": [
        "sample_cov_data"
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    },
    {
      "page": "sample_events_data",
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      "topics": [
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      "page": "sample_explan_data",
      "title": "Sample species occurrence records with associated dynamic explanatory variables",
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      "topics": [
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      "title": "Sample species occurrence records",
      "topics": [
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      "page": "spatiotemp_autocorr",
      "title": "Test for spatial and temporal autocorrelation in species distribution model explanatory data.",
      "topics": [
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    },
    {
      "page": "spatiotemp_bias",
      "title": "Test for spatial and temporal bias in species occurrence records",
      "topics": [
        "spatiotemp_bias"
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    },
    {
      "page": "spatiotemp_block",
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      "topics": [
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    },
    {
      "page": "spatiotemp_check",
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      "topics": [
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    },
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      "page": "spatiotemp_extent",
      "title": "Filter species occurrence records by a given spatial and temporal extent.",
      "topics": [
        "spatiotemp_extent"
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    },
    {
      "page": "spatiotemp_pseudoabs",
      "title": "Generate pseudo-absence record coordinates and dates",
      "topics": [
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    },
    {
      "page": "spatiotemp_resolution",
      "title": "Filter species occurrence records by given spatial and temporal resolution",
      "topics": [
        "spatiotemp_resolution"
      ]
    },
    {
      "page": "spatiotemp_thin",
      "title": "Thin species occurrence records by spatial and temporal proximity.",
      "topics": [
        "spatiotemp_thin"
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    },
    {
      "page": "spatiotemp_weights",
      "title": "Calculate sampling effort across spatial and temporal buffer from species occurrence records",
      "topics": [
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