NM_map

Map data for New Mexico. Was created using <code>ggplot2::map_data</code>.

datasets

Detection of anomalous space-time clusters using the scan
statistics methodology. Focuses on prospective surveillance of data streams,
scanning for clusters with ongoing anomalies. Hypothesis testing is made
possible by Monte Carlo simulation.

Benjamin Kjellson

scanstatistics

Space-Time Anomaly Detection using Scan Statistics

Benjamin All<c3><a9>vius

NM_map function

A data frame with 867 rows and 7 variables:<dl class="dl-horizontal">
 <dt>long</dt><dd>Numeric; longitude of county polygon corner.</dd>
 <dt>lat</dt><dd>Numeric; latitude of county polygon corner.</dd>
 <dt>group</dt><dd>Numeric; grouping by county.</dd>
 <dt>order</dt><dd>Numeric; order of the polygon corners.</dd>
 <dt>region</dt><dd>Character; region is "new mexico" for all rows.</dd>
 <dt>subregion</dt><dd>Character; the county name (with spaces).</dd>
 <dt>county</dt><dd>Factor; the county name (no spaces).</dd>
</dl>

Format

Data to plot the counties of New Mexico. — NM_map

A data frame with 867 rows and 7 variables:<dl class='dl-horizontal'>
 <dt>long</dt><dd>Numeric; longitude of county polygon corner.</dd>
 <dt>lat</dt><dd>Numeric; latitude of county polygon corner.</dd>
 <dt>group</dt><dd>Numeric; grouping by county.</dd>
 <dt>order</dt><dd>Numeric; order of the polygon corners.</dd>
 <dt>region</dt><dd>Character; region is "new mexico" for all rows.</dd>
 <dt>subregion</dt><dd>Character; the county name (with spaces).</dd>
 <dt>county</dt><dd>Factor; the county name (no spaces).</dd>
</dl>

NM_map: Data to plot the counties of New Mexico.

Description

Usage

Arguments

Format