Data and Functions for USA State and County Unemployment Data
Contains data and visualization functions for USA unemployment
data. Data comes from the US Bureau of Labor Statistics (BLS). State data
is in ?df_state_unemployment and covers 2000-2013. County data is in
?df_county_unemployment and covers 1990-2013. Choropleth maps of the data
can be generated with ?state_unemployment_choropleth and
?county_unemployment_choropleth respectively. See the vignettes for
additional information.

Contains data and visualization functions for USA unemployment
data. Data comes from the US Bureau of Labor Statistics (BLS). State data
is in ?df_state_unemployment and covers 2000-2013. County data is in
?df_county_unemployment and covers 1990-2013. Choropleth maps of the data
can be generated with ?state_unemployment_choropleth() and
?county_unemployment_choropleth() respectively.

c(person("Edmund", "Hart", role = c("aut", "cre"),
email = "edmund.m.hart@gmail.com"))
A package for accessing World Bank climate data
This package will download model predictions from 15 different global circulation models in 20 year intervals from the world bank.  Users can also access historical data, and create maps at 2 different spatial scales.
ggplot2, httr, plyr, rgdal, jsonlite, reshape2, sp

The William and Mary Bayesian Analysis Tool
Karl Kuschner, Qian Si and William Cooke, College of William
and Mary, Dept. of Physics, 2009
Algorithm problem, email to <kwkusc@wm.edu>, R code proble,
email to<qxsixx@wm.edu>, others, email to <wecook@wm.edu>
The package contain all the functions to get a resulting
Bayesian network.

The package contains all the functions used to get a
resulting Bayesian network.

Download, Edit and Transform Wind Data from GFS
Tools for downloading, editing and transforming wind data from Global Forecast System (GFS, see <https://www.ncdc.noaa.gov/data-access/model-data/model-datasets/global-forcast-system-gfs>) of the USA's National Weather Service (NWS, see <http://www.weather.gov/>).

c(person("Javier", "Fernández-López", email="jflopez@rjb.csic.es", role = c("aut", "cre")),
person("Klaus", "Schliep", email="klaus.schliep@gmail.com", role = c("aut")))
raster, shape, gdistance, Matrix, igraph (>= 1.0)
Javier Fernández-López [aut, cre],
Klaus Schliep [aut]