Package: FedData
Type: Package
Title: Functions to Automate Downloading Geospatial Data Available from
        Several Federated Data Sources
Version: 2.3.2
Date: 2016-10-26
Author: R. Kyle Bocinsky [aut, cre], Dylan Beaudette [ctb], Scott Chamberlain [ctb]
Authors@R: c(person(given = c("R.", "Kyle"), family = "Bocinsky",
    role = c("aut", "cre"), email = "bocinsky@gmail.com"),
    person(given = c("Dylan"), family = "Beaudette", role = "ctb"),
    person(given = c("Scott"), family = "Chamberlain", role = "ctb"))
Maintainer: R. Kyle Bocinsky <bocinsky@gmail.com>
Description: Functions to automate downloading geospatial data available from
    several federated data sources (mainly sources maintained by the US Federal
    government). Currently, the package allows for retrieval of five datasets:
    The National Elevation Dataset digital elevation models (1 and 1/3 arc-second;
    USGS); The National Hydrography Dataset (USGS); The Soil Survey Geographic
    (SSURGO) database from the National Cooperative Soil Survey (NCSS), which is
    led by the Natural Resources Conservation Service (NRCS) under the USDA; the
    Global Historical Climatology Network (GHCN), coordinated by National Climatic
    Data Center at NOAA; the Daymet gridded estimates of daily weather parameters 
    for North America, version 3, available from the Oak Ridge National Laboratory's
    Distributed Active Archive Center (DAAC); and the International Tree Ring Data Bank.
    Additional data sources are in the works, global soils (HWSD), 
    MODIS satellite data products, the National Atlas (US), Natural Earth, and WorldClim.
License: MIT + file LICENSE
Depends: R (>= 3.2.0), sp
Imports: data.table, devtools, soilDB, igraph, curl, methods, rgdal,
        raster, Hmisc, rgeos, readr, lubridate, dplyr, magrittr,
        foreach, doParallel
Repository: CRAN
NeedsCompilation: no
RoxygenNote: 5.0.1
Suggests: testthat
Packaged: 2016-10-26 19:51:06 UTC; bocinsky
Date/Publication: 2016-10-27 11:08:57
Built: R 3.3.2; ; 2016-12-02 05:29:49 UTC; windows
