Provides the users with the ability to quickly create linked 
     micromap plots for a collection of geographic areas. Linked micromap 
     plots are visualizations of geo-referenced 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 linked micromap plots 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 linked micromap plots 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 with the 
     'BuildBorderGroup' function. In April of 2022, it was announced that 
     'maptools', 'rgdal', and 'rgeos' R packages would be retired in 
     middle to end of 2023 and removed from the CRAN libraries.  
     The 'BuildBorderGroup' function was dependent on these packages.  
     'micromapST' functions were not impacted by the retired R packages.  
     Upgrading of 'BuildBorderGroup' function was completed and released with 
     version 3.0.0 on August 10, 2023 using the 'sf' R package.
     References: Carr and Pickle, Chapman and Hall/CRC, Visualizing
     Data Patterns with Micromaps, CRC Press, 2010. Pickle, Pearson,
     and Carr (2015), micromapST: Exploring and Communicating
     Geospatial Patterns in US State Data., Journal of Statistical
     Software, 63(3), 1-25., <https://www.jstatsoft.org/v63/i03/>.
     Copyrighted 2013, 2014, 2015, 2016, 2022, 2023, 2024, and 
     2025 by Carr, Pearson and Pickle.