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 the generation of Monte Carlo p-values.

Benjamin Kjellson

scanstatistics

Space-Time Anomaly Detection using Scan Statistics

NM_map function

A data table with 867 rows and 7 variables:<dl class="dl-horizontal">
 <dt>long</dt><dd>Longitude of county polygon corner. Of class numeric.</dd>
 <dt>lat</dt><dd>Latitude of county polygon corner. Of class numeric.</dd>
 <dt>group</dt><dd>Grouping by county. Of class numeric.</dd>
 <dt>order</dt><dd>Order of the polygon corners. Of class integer.</dd>
 <dt>region</dt><dd>Region is "new mexico" for all rows. Of class character.</dd>
 <dt>subregion</dt><dd>The county name (with spaces). Of class character.</dd>
 <dt>county</dt><dd>The county name (no spaces). Of class factor with 33 levels,
 the county Cibola places last.</dd>
</dl>

Format

Data to plot the counties of New Mexico. — NM_map

A data table with 867 rows and 7 variables:<dl class='dl-horizontal'>
 <dt>long</dt><dd>Longitude of county polygon corner. Of class numeric.</dd>
 <dt>lat</dt><dd>Latitude of county polygon corner. Of class numeric.</dd>
 <dt>group</dt><dd>Grouping by county. Of class numeric.</dd>
 <dt>order</dt><dd>Order of the polygon corners. Of class integer.</dd>
 <dt>region</dt><dd>Region is "new mexico" for all rows. Of class character.</dd>
 <dt>subregion</dt><dd>The county name (with spaces). Of class character.</dd>
 <dt>county</dt><dd>The county name (no spaces). Of class factor with 33 levels,
 the county Cibola places last.</dd>
</dl>

NM_map: Data to plot the counties of New Mexico.

Description

Usage

Arguments

Format