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  "Title": "Estimation of Forest Variables using the FIA Database",
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  "Authors@R": "c(person(\"Jeffrey\", \"Doser\", role=c(\"aut\", \"cre\"), email=\"jwdoser@ncsu.edu\"), person(\"Hunter\", \"Stanke\", role=c(\"aut\")), person(\"Andrew\", \"Finley\", role = c(\"aut\")))",
  "Author": "Jeffrey Doser [aut, cre], Hunter Stanke [aut], Andrew Finley\n[aut]",
  "Maintainer": "Jeffrey Doser <jwdoser@ncsu.edu>",
  "Description": "The goal of 'rFIA' is to increase the accessibility and\nuse of the United States Forest Services (USFS) Forest\nInventory and Analysis (FIA) Database by providing a\nuser-friendly, open source toolkit to easily query and analyze\nFIA Data. Designed to accommodate a wide range of potential\nuser objectives, 'rFIA' simplifies the estimation of forest\nvariables from the FIA Database and allows all R users (experts\nand newcomers alike) to unlock the flexibility inherent to the\nEnhanced FIA design. Specifically, 'rFIA' improves\naccessibility to the spatial-temporal estimation capacity of\nthe FIA Database by producing space-time indexed summaries of\nforest variables within user-defined population boundaries.\nDirect integration with other popular R packages (e.g.,\n'dplyr', 'tidyr', and 'sf') facilitates efficient space-time\nquery and data summary, and supports common data\nrepresentations and API design. The package implements\ndesign-based estimation procedures outlined by Bechtold &\nPatterson (2005) <doi:10.2737/SRS-GTR-80>, and has been\nvalidated against estimates and sampling errors produced by FIA\n'EVALIDator'. Current development is focused on the\nimplementation of spatially-enabled model-assisted and\nmodel-based estimators to improve population, change, and ratio\nestimates.",
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      "class": [
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      "title": "Estimate forest land area from FIADB",
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      "title": "Estimate land area change from the FIADB",
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      "title": "Estimate tree biomass and carbon stocks from the FIADB",
      "topics": [
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      ]
    },
    {
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      "topics": [
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      ]
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      "title": "County boundaries of Rhode Island",
      "topics": [
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    },
    {
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    },
    {
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      "topics": [
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    }
  ]
}