if_connected

If the location and its neighbors, not including itself, are connected,
then return the set containing the location and its neighbors;
otherwise, return the empty set

internal

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. Allévius (2018) <doi:10.21105/joss.00515>.

Paul Romer Present

scanstatistics

Space-Time Anomaly Detection using Scan Statistics

Benjamin Allévius

if_connected function

<dl><dt>distinct_neighbors</dt>
<dd>A <code>set</code> containing the neighboring locations
to the given location, not including the location itself.</dd>
<dt>location</dt>
<dd>A location, preferably given as an integer.</dd>
<dt>adjacency_matrix</dt>
<dd>A boolean matrix, with element \((i,j)\) set 
to TRUE if location \(j\) is adjacent to location \(i\).</dd></dl>

Arguments

Return a set of the location and its neighbors if they are connected,
else return the empty set. — if_connected

<dl>

<dt>distinct_neighbors</dt>
<dd>A <code>set</code> containing the neighboring locations
to the given location, not including the location itself.</dd>


<dt>location</dt>
<dd>A location, preferably given as an integer.</dd>


<dt>adjacency_matrix</dt>
<dd>A boolean matrix, with element \((i,j)\) set 
to TRUE if location \(j\) is adjacent to location \(i\).</dd>

</dl>

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if_connected: Return a set of the location and its neighbors if they are connected, else return the empty set.

Description

Usage

Value

Arguments