SeoulPopData

This dataset contains the 2012 population and area data for each of the 
districts in city of Seoul.

datasets

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.

Jim Pearson

micromapST

Linked Micromap Plots for U. S. and Other Geographic Areas

Dan Carr

Linda Pickle

SeoulPopData function

A data frame with 25 observations, 1 for each district, 
 on the following 5 variables.<dl>
 <dt>District</dt>
<dd>a character vector containing the full name of the Seoul district.</dd> <dt>City</dt>
<dd>a character vector containing the city name =&gt; Seoul.</dd> <dt>Pop.2012</dt>
<dd>a numeric vector of the number of the district's 2012 population.</dd> <dt>Area</dt>
<dd>a numeric vector of the area square kilometers for the district.</dd> <dt>Founded</dt>
<dd>a character vector containing the dates each district was founded.</dd> 
</dl>

Format

Test data for the Seoul South Korea city district border Group — SeoulPopData

A data frame with 25 observations, 1 for each district, 
 on the following 5 variables.<dl>
 <dt>District</dt>
<dd>a character vector containing the full name of the Seoul district.</dd>

 <dt>City</dt>
<dd>a character vector containing the city name =&gt; Seoul.</dd>

 <dt>Pop.2012</dt>
<dd>a numeric vector of the number of the district's 2012 population.</dd>

 <dt>Area</dt>
<dd>a numeric vector of the area square kilometers for the district.</dd>

 <dt>Founded</dt>
<dd>a character vector containing the dates each district was founded.</dd>

 
</dl>

SeoulPopData: Test data for the Seoul South Korea city district border Group

Description

Usage

Arguments

Format

Details