Package: micromapST
Type: Package
Version: 1.1.1
Date: 2016-12-07
Title: Linked Micromap Plots for General U. S. and Other Geographic
Areas
Author: Jim Pearson <jpearson@statnetconsulting.com> and Dan Carr <dcarr@gmu.edu>,
with contributions from Linda Pickle <linda@statnetconsulting.com>.
Maintainer: Jim Pearson <jpearson@statnetconsulting.com>
Imports: graphics, RColorBrewer, grDevices, stats, stringr, labeling,
utils
Depends: R (>= 3.1.0)
Suggests: R.rsp
VignetteBuilder: R.rsp
Description: Provides the users with the ability to quickly create Linked
Micromap plots for a collection of geographic areas.
Linked Micromaps are visualizations of georeferenced data that link statistical
graphics to an organized series of small maps or graphic images.
The Help description contains examples of how to use the micromapST function.
Contained in this package are border group datasets to support creating micromaps for the
50 U.S. states and District of Columbia (51 areas), the U. S. 20 Seer Registries,
the 105 counties in the state of Kansas, the 62 counties of New York,
the 24 counties of Maryland, the 29 counties of Utah, the 32 administrative areas
in China, the 218 administrative areas in the UK and Ireland (for testing only),
the 25 districts in the city of Seoul South Korea, and the 52 counties on the Africa
continent.
A border group dataset contains the boundaries related to the data level areas,
a second layer boundaries, a top or third layer boundary, a parameter list of
run options, and a cross indexing table between area names, abbreviations,
numeric identification and alias matching strings for the specific geographic
area.  By specifying a border group, the package create micromaps for any
geographic region.  The user can create and provide their own border group dataset
for any area beyond the areas contained within the package.
Copyrighted 2013, 2014, 2015 and 2016 by Carr, Pearson and Pickle.
License: GPL (>= 2)
LazyData: no
LazyLoad: no
BuildResaveData: best
ByteCompile: yes
NeedsCompilation: no
Packaged: 2016-12-07 16:13:07 UTC; jpearson
Repository: CRAN
Date/Publication: 2016-12-08 01:17:59